IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
US-0621170
(2000-07-21)
|
발명자
/ 주소 |
- Zheng, L. Lucy
- Burne, Richard
- Horak, Dan T.
|
출원인 / 주소 |
- Honeywell International Inc.
|
대리인 / 주소 |
Honeywell International Inc.
|
인용정보 |
피인용 횟수 :
69 인용 특허 :
6 |
초록
▼
A clear air turbulence (CAT) detection system performs a nowcast algorithm to detect CAT along the flight path of an aircraft. The aircraft stores computer simulation information of key storm features and utilizes the information in combination with returns from an on-board weather detection and ran
A clear air turbulence (CAT) detection system performs a nowcast algorithm to detect CAT along the flight path of an aircraft. The aircraft stores computer simulation information of key storm features and utilizes the information in combination with returns from an on-board weather detection and ranging sensor and limited additional meteorological data to predict CAT properties, such as intensity, location, time and probability of occurrence. The additional meteorological data is provided by on-board sensors and/or data link from ground sources. A nowcast predicting turbulence along the flight path in the near future alerts the pilot to the likelihood of encountering clear air turbulence.
대표청구항
▼
A clear air turbulence (CAT) detection system performs a nowcast algorithm to detect CAT along the flight path of an aircraft. The aircraft stores computer simulation information of key storm features and utilizes the information in combination with returns from an on-board weather detection and ran
A clear air turbulence (CAT) detection system performs a nowcast algorithm to detect CAT along the flight path of an aircraft. The aircraft stores computer simulation information of key storm features and utilizes the information in combination with returns from an on-board weather detection and ranging sensor and limited additional meteorological data to predict CAT properties, such as intensity, location, time and probability of occurrence. The additional meteorological data is provided by on-board sensors and/or data link from ground sources. A nowcast predicting turbulence along the flight path in the near future alerts the pilot to the likelihood of encountering clear air turbulence. ted to each other, and each having a capacitance weighted with a prescribed weighting factor; a plurality of first analog switches provided corresponding to the plurality of capacitors, and each connected between the other electrode of a corresponding capacitor and a first node receiving an analog input; a plurality of second analog switches provided corresponding to the plurality of capacitors, and each connected between the other electrode of a corresponding capacitor and a second node receiving a first reference voltage; a plurality of third analog switches provided corresponding to the plurality of capacitors, and each connected between the other electrode of a corresponding capacitor and a third node receiving a second reference voltage that is lower than the first reference voltage; a voltage comparator for comparing a voltage at the respective one electrodes of the plurality of capacitors with a third reference voltage; and a state controller for controlling ON/OFF of the plurality of first analog switches, the plurality of second analog switches and the plurality of third analog switches based on the comparison result of the voltage comparator, wherein each of the plurality of second analog switches has an on-state resistance weighted with a prescribed weighting factor. 7. The successive comparison A-D converter according to claim 6, wherein each of the plurality of second analog switches has an on-state resistance weighted with an inverse number of the weighting factor for the capacitance of a corresponding capacitor. 8. The successive comparison A-D converter according to claim 6, wherein each of the plurality of second analog switches includes a MOS transistor connected between the other electrode of a corresponding capacitor and the second node, and the MOS transistor included in one of the plurality of second analog switches and the MOS transistor included in another second analog switch have different channel widths and/or different channel lengths. 9. The successive comparison A-D converter according to claim 6, wherein each of the plurality of second analog switches includes one or a plurality of fifth analog switches connected in parallel between the other electrode of a corresponding capacitor and the second node, and the number of fifth analog switches included in one of the plurality of second analog switches is different from that included in another second analog switch. 10. The successive comparison A-D converter according to claim 6, wherein each of the plurality of second analog switches includes a MOS transistor connected between the other electrode of a corresponding capacitor and the second node, and a gate voltage to be applied to the MOS transistor included in one of the plurality of second analog switches when the MOS transistor is in an ON state is different from that to be applied to the MOS transistor included in another second analog switch when the MOS transistor is in an ON state. 11. A successive comparison A-D converter, comprising: a plurality of capacitors having their respective one electrodes connected to each other, and each having a capacitance weighted with a prescribed weighting factor; a plurality of first analog switches provided corresponding to the plurality of capacitors, and each connected between the other electrode of a corresponding capacitor and a first node receiving an analog input; a plurality of second analog switches provided corresponding to the plurality of capacitors, and each connected between the other electrode of a corresponding capacitor and a second node receiving a first reference voltage; a plurality of third analog switches provided corresponding to the plurality of capacitors, and each connected between the other electrode of a corresponding capacitor and a third node receiving a second reference voltage that is lower than the first reference voltage; a voltage comparator for comparing a voltage at the respective one ele ctrodes of the plurality of capacitors with a third reference voltage; and a state controller for controlling ON/OFF of the plurality of first analog switches, the plurality of second analog switches and the plurality of third analog switches based on the comparison result of the voltage comparator, wherein each of the plurality of third analog switches has an on-state resistance weighted with a prescribed weighting factor. 12. The successive comparison A-D converter according to claim 11, wherein each of the plurality of third analog switches has an on-state resistance weighted with an inverse number of the weighting factor for the capacitance of a corresponding capacitor. 13. The successive comparison A-D converter according to claim 11, wherein each of the plurality of third analog switches includes a MOS transistor connected between the other electrode of a corresponding capacitor and the third node, and the MOS transistor included in one of the plurality of third analog switches and the MOS transistor included in another third analog switch have different channel widths and/or different channel lengths. 14. The successive comparison A-D converter according to claim 11, wherein each of the plurality of third analog switches includes one or a plurality of sixth analog switches connected in parallel between the other electrode of a corresponding capacitor and the third node, and the number of sixth analog switches included in one of the plurality of third analog switches is different from that included in another third analog switch. 15. The successive comparison A-D converter according to claim 11, wherein each of the plurality of third analog switches includes a MOS transistor connected between the other electrode of a corresponding capacitor and the third node, and a gate voltage to be applied to the MOS transistor included in one of the plurality of third analog switches when the MOS transistor is in an ON state is different from that to be applied to the MOS transistor included in another third analog switch when the MOS transistor is in an ON state. turbulence nowcast system comprising: a memory having stored therein: a) storm data bank of one or more storm templates, and b) clear air turbulence information stored therein as a function of said storm templates; a processor coupled to said memory, said processor receiving each of a signal representative of returns of a weather detection and ranging sensor and a signal representative of one or more additional meteorological data, wherein said processor executes so are that: a) compensates said weather detection and ranging sensor return signal as a function of said meteorological data, b) extracts key features from said compensated weather detection and ranging sensor return signal, c) correlates said compensated key features with storm features stored in one or more of said storm templates; d) retrieves said clear air turbulence information from said memo as a function of said correlation, and e) generates a nowcast of clear air turbulence as a function of a short-term prediction algorithm. 9. The system recited in claim 8, wherein said clear air turbulence information stored in said memory further comprise information stored therein as a function of returns of simulations applied to typical storm scenarios generated through meteorological modeling. 10. The system recited in claim 9, wherein said nowcast of clear air turbulence further comprises one or more of an intensity, a location, a time, and a probability of occurrence of clear air turbulence. 11. The system recited in claim 10, wherein said processor further executes software which generates an output alert signal as a function of said nowcast. 12. An electronic circuit generating a clear air turbulence nowcast using on-board weather detection and ranging sensor data and minimal additional meteorological data, the electronic circuit comprising: a) a memory for storing: i) a plurality of machine instructions, ii) weather detection and ranging sensor data, iii) additional current meteorological data, and iv) clear air turbulence information as a function of predetermined storm features; and b) a processor coupled to said memory, said processor executing said plurality of machine instructions to implement a plurality of functions, said functions comprising: i) modifying key features of said weather detection and ranging sensor data as a function of said additional current meteorological data, ii) extracting said modified key features from said weather detection and ranging sensor data, iii) comparing said modified key features to said predetermined storm features; iv) retrieving said clear air turbulence information as a function of said correlation; and v) generating a nowcast of clear air turbulence as a function of said clear air turbulence information. 13. The electronic circuit recited in claim 12, wherein said predetermined storm features further comprise storm features retrieved from a bank of storm features stored in said memory. 14. The electronic circuit recited in claim 13, wherein said meteorological data further comprise one or more of weather detection and ranging sensor data obtained from an alternate source and non-radar meteorological data. 15. The electronic circuit recited in claim 14, wherein said nowcast generating function further comprises operating a short-term weather prediction algorithm. 16. The electronic circuit recited in claim 14, wherein said nowcast of clear air turbulence further comprises a nowcast of one or more of an intensity, a location, a time, and a probability of occurrence of clear air turbulence. 17. The electronic circuit recited in claim 16, further comprising the function of generating an output alert signal as a function of said nowcast. 18. A method for using an electronic circuit to generate a clear air turbulence nowcast using meteorological data conveyed as a power return signal from an on-board weather detection and ranging sensor system and minimal additional meteorological data,
※ AI-Helper는 부적절한 답변을 할 수 있습니다.