JP2020097416A - 能動的な空気伝播音の低減 - Google Patents
能動的な空気伝播音の低減 Download PDFInfo
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Abstract
Description
Claims (15)
- 無人航空機(UAV)であって、
フレームと、
前記フレームに関連する全地球測位システム(GPS)と、
前記フレームに取り付けられた少なくとも1つの音センサと、
前記フレームに取り付けられた複数のモータと、
複数のプロペラであって、前記複数のプロペラのそれぞれが前記複数のモータの1つに連結され、
前記フレームの少なくとも1つ、または前記複数のモータの1つに取り付けられた発音器と、
メモリと1つまたは複数のコンピュータプロセッサを含むコンピュータデバイスと、
前記1つまたは複数のコンピュータプロセッサが、少なくとも
前記少なくとも1つの音センサを使用して音に関するデータを取り込み、
前記データに基づき、音圧レベル及び周波数を判定し、
前記GPSセンサによって前記UAVの位置を判定し、
前記位置に関連する少なくとも1つの環境条件を判定し、
前記位置に関連する、前記複数のモータのうちの少なくとも1つ、または前記複数のプロペラのうちの少なくとも1つのプロペラを判定し、
前記音圧レベルに基づき、アンチノイズ音圧レベル及び耐ノイズ周波数を判定し、周波数及び少なくとも1つの、
前記位置、
前記少なくとも1つの環境条件、または、
前記少なくとも1つの動作特性と、
前記UAVの発音器からアンチノイズを発音する、UAV。 - 第1の発音器を含む第1の航空機の操作方法であって、前記方法は、
第1の時間より前に、少なくとも1つのコンピュータプロセッサにより
第1の時間の前記第1の航空機の第1の予測位置、
前記第1の予測位置または前記第1の時間における第1の予測環境条件、
前記第1の予測位置または前記第1の時間における前記第1の航空機の第1の予測動作特性、の少なくとも1つを予測し、
前記少なくとも1つのコンピュータプロセッサにより、前記第1の時間で前記第1の航空機の少なくとも1つのコンポーネントにより発音された第1の音であり、前記第1の音は前記第1の予測位置に基づき、前記第1の予測環境条件または前記第1の予測動作特性を予測し、
前記少なくとも1つのコンピュータプロセッサにより、前記第1の音に基づく第2の音であり、前記第2の音の第2の音圧レベルは前記第1の音の第1の音圧レベルより大きくなく、前記第2の音の第2の周波数は実質的に前記第1の音の第1の周波数に関して実質的に大きさが等しく、前記第1の音の第1の周波数に関して逆極性であり、
前記少なくとも1つのコンピュータプロセッサにより、前記第1の時間で前記第1の発音器により発音される第2の音を引き起こす、第1の航空機を操作する方法 - 前記第2の音が第1の時間で第1の発音器により発音される、請求項2に記載の方法。
- 前記第1の航空機がさらに全地球測位システム(GPS)を含む、
前記方法はさらに
前記GPSセンサにより、前記第1の航空機が前記第1の時間で前記第1の予測位置にあること判定し、
前記第2の音が前記第1の時間で前記第1の予測位置にある前記第1の航空機であることを判定するために応答し、前記第1の発音器により発音する、請求項3に記載の方法 - 前記第1の航空機の少なくとも1つのコンポーネントが前記第1の航空機の少なくとも1つのフレームであり、前記フレームに取り付けられたモータ、またはモータに連結した回転可能なプロペラである、請求項2に記載の方法。
- 前記第1の時間で前記第1の航空機の少なくとも1つのコンポーネントにより発音される第1の音を予測し、
前記少なくとも1つのコンピュータプロセッサにより、前記第1の予測位置に関する第1の情報、前記第1の予測環境条件、前記第1の予測動作特性が少なくとも1つの機械学習システムへ入力として提供し、
前記少なくとも1つの機械学習システムから前記第1の音に関する、前記第1の音圧レベルと前記第1の周波数を含む第2の情報を出力として受信する、請求項2に記載の方法。 - 前記第2の音を判定することをさらに含み、
前記第1の音に関する情報を前記少なくとも1つの機械学習システムに入力として提供し、
前記少なくとも1つの機械学習システムから前記第2の音を第2の情報の出力として受信し、
前記第2の音が第1の発音器により発音を引き起こす、請求項6に記載の方法。 - 前記第1の時間に前記第1の航空機の前記第1の予測位置、前記第1の予測環境条件及び前記第1の予測動作特性の少なくとも1つを予測することは、
第2の航空機が前記第1の時間に先立つ第2の時間で第1の予測位置にあったことを判定し、
前記第2の時間で前記第1の予測位置で前記第2の航空機により観察された第2の環境条件または第2の動作特性の少なくとも1つに関する情報を判定し、
前記第1の時間で前記第1の航空機の前記少なくとも1つのコンポーネントにより発音される前記第1の音が、前記第2の環境条件または前記第2の動作特性の少なくとも1つに関する情報に基づき予測される、請求項2に記載の方法。 - 前記第1の音が前記第1の時間で前記第1の航空機の前記少なくとも1つのコンポーネントにより発音されることが、前記第2の航空機で供給される少なくとも1つのプロセッサにより予測される、請求項8に記載の方法。
- 請求項2に記載の方法はさらに、
前記第1の予測位置付近でしきい値の騒音を判定し、
前記第2の音が、前記第1の予測位置付近で第1の音としきい値の騒音に基づき判定されることを含む、前記方法 - 前記第1の予測環境条件が、
前記第1の予測位置または前記第1の時間で第1の気温、
前記第1の予測位置または前記第1の時間で第1の気圧、
前記第1の予測位置または前記第1の時間で第1の風速、
前記第1の予測位置または前記第1の時間で第1の湿度、
前記第1の予測位置または前記第1の時間で第1の雲量のレベル、
前記第1の予測位置または前記第1の時間で第1の日照のレベル、
前記第1の予測位置または前記第1の時間で第1の地上条件のうち少なくとも1つを含む、請求項2に記載の方法。 - 前記第1の予測動作特性が、
前記第1の予測位置または前記第1の時間で前記第1の航空機に供給される第1のモータの第1の回転速度、
前記第1の予測位置または前記第1の時間における前記第1の航空機の第1の高度、
前記第1の予測位置または前記第1の時間における前記第1の航空機の第1の針路、
前記第1の予測位置または前記第1の時間における前記第1の航空機の第1の対気速度、
前記第1の予測位置または前記第1の時間における前記第1の航空機の第1の上昇率、
前記第1の予測位置または前記第1の時間における前記第1の航空機の第1の降下率、
前記第1の予測位置または前記第1の時間における前記第1の航空機の第1の旋回率、のうち少なくとも1つを含む、請求項2に記載の方法。 - 少なくとも1つのコンピュータプロセッサにより、第1の時間に第1の航空機で第1の位置を移動する第1の移動に関する情報を特定することであって、前記第1の航空機の第1の移動に関する情報は、
前記第1位置の緯度、
前記第1位置の経度、
前記第1位置及び第1の時間における第1の航空機の緯度、
前記第1位置及び第1の時間における第1の航空機の針路、
前記第1位置及び第1の時間における第1の航空機の対気速度、
前記第1位置及び第1の時間における第1の航空機の上昇率
前記第1位置及び第1の時間における第1の航空機の降下率、
前記第1位置及び第1の時間における第1の航空機の旋回率、
前記第1位置及び第1の時間における第1の航空機の加速度、
前記第1位置及び前記第1の時間における前記第1の航空機に取り付けれた第1のモータの回転速度、
前記第1のモータがそこに取り付けられた回転可能な第1のプロペラ、または
第1の音響センサにより取り込んだ少なくとも第1の音の少なくとも1つの周波数、
少なくとも第1の音の少なくとも1つの音圧レベル、又は
第1位置及び第1の時間により一致した第1の環境条件、の少なくとも1つを有し、
前記少なくとも1つのコンピュータプロセッサにより、前記第1の航空機の前記第1の移動に関する情報に基づき、第2の音の少なくとも1つの周波数及び少なくとも1つの音圧レベルを判定すること、
前記少なくとも1つのコンピュータプロセッサにより、第2の時間に第2の航空機で前記第1位置を移動する第2の移動のための移動計画を生成すること、
前記移動計画が、
前記第2の航空機に設けられた発音器により、前記第2の時間または前記第2の航空機が第1位置の付近にある判定における前記第2の音を発音するための指示を含み、
前記第2の時間の前に、前記第2の航空機の機内メモリに前記移動計画を保存することを備える、方法。 - 前記第2の音における少なくとも1つの周波数および少なくとも1つの音圧レベルを判定すること、
前記少なくとも1つのコンピュータプロセッサにより、前記第1の航空機の前記第1の移動に関する情報を入力として少なくとも1つの機械学習システムの供給し、
前記少なくとも1つの機械学習システムからの出力として、前記第2の音の少なくとも1つの周波数および少なくとも1つの音圧レベルを含む前記第2の音に関する情報を受信する、請求項13に記載の方法。 - 前記少なくとも1つのコンピュータプロセッサにより、前記第1位置の付近の騒音しきい値を識別し、
前記第2の音の音圧レベルまたは周波数が前記第1位置の付近の前記騒音しきい値に基づき決定する、請求項13に記載の方法。
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