JP6996712B2 - Drone automatic operation / automatic control / automatic handling system - Google Patents

Drone automatic operation / automatic control / automatic handling system Download PDF

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JP6996712B2
JP6996712B2 JP2018102788A JP2018102788A JP6996712B2 JP 6996712 B2 JP6996712 B2 JP 6996712B2 JP 2018102788 A JP2018102788 A JP 2018102788A JP 2018102788 A JP2018102788 A JP 2018102788A JP 6996712 B2 JP6996712 B2 JP 6996712B2
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雅之 阿部
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株式会社末広システム
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Description

本発明は、ドローンの自動運転・自動制御・自動対処システムに関する。 The present invention relates to an automatic operation / control / automatic coping system for drones.

近年、無人飛行体いわゆるドローンをどのように活用していくかが注目されており、準天頂衛星の位置情報の利用、人工知能(AI)とビッグデータの利用も注目されており、どのように利用するか、実用化するかが大きな話題となっています。 In recent years, attention has been focused on how to utilize unmanned aerial vehicles, so-called drones, and the use of position information on quasi-zenith satellites, artificial intelligence (AI), and big data. Whether to use it or put it to practical use has become a big topic.

特許公報 特開2001-120151Patent Publication Japanese Patent Application Laid-Open No. 2001-120151 特許公報 特開2002-211494Patent Publication Japanese Patent Application Laid-Open No. 2002-21494 特許公報 特開2014-122019Patent Publication Japanese Patent Application Laid-Open No. 2014-1202019 特許公報 特開2018-024286Patent Publication Japanese Patent Application Laid-Open No. 2018-0242886 特許公報 特開2016-066294Patent Publication Japanese Patent Application Laid-Open No. 2016-066294 特許公報 特開2002-301439Patent Publication Japanese Patent Application Laid-Open No. 2002-301439 特許6259959Patent 6259959

http://www.jaxa.jp/projects/sat/qzss/index_j.htmlhttp://www.jaxa.jp/projects/sat/qzss/index_j.html

本発明は、人間によるドローン操縦には誤操縦があり墜落事故が発生しまったことが社会問題となってしまった。また、その墜落がドローンの活用を妨げる要因にもなっている。安全で人間の生活に役立つドローンの利用、活用を促進すること目的とする。 In the present invention, it has become a social problem that a human drone is erroneously operated and a crash occurs. The crash is also a factor that hinders the use of drones. The purpose is to promote the use and utilization of drones that are safe and useful for human life.

本発明は、現在販売され利用されている無人飛行体(ドローン)を基本構造として活用するが、人工知能(AI)またはネットワーク先の人工知能(AI)、ネットワーク機器、通信機器、カメラ、準天頂衛星の測位情報受信機またはGPS受信機、情報蓄積機(ビッグデータ)、高度計、センサー、集音機、対処アーム(取替え可能)、散布機、レーザー照射機を搭載した複合的に組み合わされたドローンであり自動運転・自動制御・自動対処システムを提供する。The present invention utilizes an unmanned vehicle (drone) currently sold and used as a basic structure, but artificial intelligence (AI) or artificial intelligence (AI) at a network destination, network equipment, communication equipment, cameras, and quasi-zenith. A combined drone equipped with a satellite positioning information receiver or GPS receiver, information storage device (big data), altitude meter, sensor, sound collector, coping arm (replaceable), spreader, and laser irradiator. It provides an automatic operation / automatic control / automatic coping system.
本発明では、以下のような解決手段を提供する。The present invention provides the following solutions.

本発明は、The present invention
ドロ-ンを自動運転、自動制御、自動対処させる頭脳である人工知能(AI)と、Artificial intelligence (AI), which is the brain that automatically drives, controls, and responds to drones,
運転命令指示者と通信するネットワーク手段、通信手段と、Network means to communicate with the driver commander, communication means,
位置を把握する位置座標取得手段と、Position coordinate acquisition means to grasp the position and
衝突を防止する衝突防止手段と、Collision prevention measures to prevent collisions,
撮像された画像を取得する画像取得手段と、Image acquisition means for acquiring captured images, and
人工知能に情報を提供する情報蓄積手段(ビッグデータ)と、Information storage means (big data) that provide information to artificial intelligence,
前記の取得画像と蓄積情報を瞬時に推論、判断、対処を決定する人工知能と、Artificial intelligence that instantly infers, judges, and decides what to do with the acquired images and accumulated information.
人工知能が決定した対処を実行する対処実行手段と、The coping execution means to execute the coping determined by artificial intelligence,
対処実行した位置情報が再度利用できるように記憶する位置座標記憶手段と、Countermeasures A position coordinate storage means that stores the executed position information so that it can be used again,
を備え、各手段が人工知能と接続され、信号、情報が送受信され、連係、連動するドローン自動運転、自動制御、自動対処を提供する。Each means is connected to artificial intelligence, signals and information are transmitted and received, and it provides linkage, interlocking drone automatic operation, automatic control, and automatic coping.
尚、人工知能(AI)はネットワーク先に存在しドローンに搭載されていない場合でもよい。It should be noted that the artificial intelligence (AI) may exist in the network destination and may not be installed in the drone.

本発明では、人工知能からの運転命令に従いドローンが準天頂衛星の測位情報を利用しつつ飛行し、障害物との衝突を回避しつつ、人工知能の目であるカメラで撮像された画像を取得し、取得された画像と情報蓄積(ビッグデータ)の双方を人工知能が即座に推論・判断し、その場で対処実行する。そして、再度利用ができるように対処実行したポイントの位置座標を記憶する。In the present invention, the drone flies while using the positioning information of the quasi-zenith satellite according to the driving command from the artificial intelligence, and while avoiding the collision with the obstacle, the image taken by the camera which is the eye of the artificial intelligence is acquired. Then, artificial intelligence immediately infers and judges both the acquired image and information storage (big data), and takes action on the spot. Then, the position coordinates of the point where the countermeasure is executed are stored so that it can be used again.

本発明は、システムのカテゴリであるが、方法及び人工知能による自動運転、自動制御、自動対処等は他のカテゴリにおいても、そのカテゴリに応じた同様の作用・効果を発揮する。 The present invention is in the category of systems, but methods, automatic operation by artificial intelligence, automatic control, automatic coping, etc. exhibit the same actions and effects in other categories according to the category.

本発明によれば、人工知能(AI)がその場で即座に対応実行するので、飛行は1回行うだけで目的が達成されることにより、省エネルギー、省時間にすることが可能となる。 According to the present invention, since artificial intelligence (AI) immediately responds and executes on the spot, it is possible to save energy and time by achieving the purpose by performing only one flight.

図1は、ドローン自動制御システムの概要図である。FIG. 1 is a schematic diagram of an automatic drone control system. 図2は、ドローン自動制御処理のフローチャートである。FIG. 2 is a flowchart of the drone automatic control process.

以下、本発明を実施するための最良の形態について図を参照しながら説明する。なお、Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings. note that,
これはあくまでも一例であって、本発明の技術的範囲はこれに限られるものではない。This is just an example, and the technical scope of the present invention is not limited to this.

図1のドローン自動制御システム2は、人工知能(AI)20が制御を送受信する通信手段21、位置座標取得手段22、衝突防止手段23、画像取得手段24、情報蓄積手段25、対処実行手段26、位置座標記録手段27、を備える。The drone automatic control system 2 of FIG. 1 has a communication means 21, a position coordinate acquisition means 22, a collision prevention means 23, an image acquisition means 24, an information storage means 25, and a coping execution means 26 for transmitting and receiving control by an artificial intelligence (AI) 20. , The position coordinate recording means 27.
なお、ドローン100は、無人航空機やマルチコプターであってよい。The drone 100 may be an unmanned aerial vehicle or a multicopter.

人工知能(AI)20は、全ての手段・機能・対処を制御するものであり、人間でいえば頭脳である。記憶、学習、推論、判断を行う。人工知能は、通信手段21、位置座標取得手段22、衝突防止手段23、画像取得手段24、情報蓄積手段25、対処実行手段26、位置座標記憶手段27の全手段と接続、連係しており、信号や情報の送受信を行いドローン自動運転の全てを制御する。Artificial intelligence (AI) 20 controls all means, functions, and coping, and is the brain in humans. Perform memory, learning, reasoning, and judgment. Artificial intelligence is connected to and linked to all means of communication means 21, position coordinate acquisition means 22, collision prevention means 23, image acquisition means 24, information storage means 25, coping execution means 26, and position coordinate storage means 27. It sends and receives signals and information to control all of the drone's automatic operation.

通信手段21は、運転命令指示者と通信するネットワークであり通信手段であり、データの送受信を行う。ネットワークは、有線でも無線でも良く、インターネット等の公衆回線や専用線により接続されても(クラウドでもよい)、LTE、P2P(Peer to Peer)でもよい。The communication means 21 is a network and a communication means for communicating with the operation command instructor, and transmits / receives data. The network may be wired or wireless, may be connected by a public line such as the Internet or a dedicated line (may be cloud), or may be LTE or P2P (Peer to Peer).

位置座標取得手段22は、飛行に必要な位置座標を取得する。例えば、ドローン100には準天頂衛星測位情報受信機103、GPS(Global Positioning System)103が備えられており常に位置情報を受信しており現在の飛行位置座標が分かる。さらには、ドローン100に高度計104が備えられているので高度も分かる。The position coordinate acquisition means 22 acquires the position coordinates required for flight. For example, the drone 100 is equipped with a quasi-zenith satellite positioning information receiver 103 and a GPS (Global Positioning System) 103, and constantly receives position information to know the current flight position coordinates. Furthermore, since the drone 100 is equipped with an altimeter 104, the altitude can be known.

衝突防止手段23は、飛行先に障害物がないかどうかを感知し障害物があれば回避する。例えば、ドローン100にはセンサーが備えられており障害物があるかどうかを発見できる。さらには、ドローンの基本構造として物に1.5メートルまで接近するとフォバリングする機能がある。The collision prevention means 23 detects whether there is an obstacle at the flight destination and avoids the obstacle if there is an obstacle. For example, the drone 100 is equipped with a sensor to detect if there is an obstacle. Furthermore, as the basic structure of the drone, it has a function of fovering when approaching an object up to 1.5 meters.

画像取得手段24は、カメラ101で撮像された画像を取得する、また、集音機105で音を取得する。The image acquisition means 24 acquires the image captured by the camera 101, and acquires the sound by the sound collector 105.

情報蓄積手段25は、事前に集められた情報を蓄積するものであり、人工知能が記憶、学習、推論、判断するために利用する蓄積情報である。さらには、人工知能に記憶する場合もある。これは所謂、ビッグデータと呼ばれているものである。例えば、本発明に必要な情報だけを蓄積する方法も考えられる(特化型ビッグデータ)。The information storage means 25 stores information collected in advance, and is stored information used by artificial intelligence for memory, learning, reasoning, and judgment. Furthermore, it may be stored in artificial intelligence. This is so-called big data. For example, a method of accumulating only the information necessary for the present invention can be considered (specialized big data).

対処実行手段26は、人工知能の命令を対処・実行する。農薬散布、水分散布、栄養散布、液体セメント散布、防錆レーザー照射、赤外線カメラ撮影、打音検査、集音等々の対処を実行する。The coping execution means 26 deals with and executes an artificial intelligence command. We will take measures such as pesticide spraying, water dispersion spraying, nutrition spraying, liquid cement spraying, rust prevention laser irradiation, infrared camera photography, tapping sound inspection, sound collection, etc.

位置座標記憶手段27は、対処・実行した位置座標を記憶する。例えば、後日、その課題の位置に再度の対処・実行する時に使用する。The position coordinate storage means 27 stores the position coordinates that have been dealt with and executed. For example, it will be used at a later date when the position of the problem is dealt with and executed again.

[動作の説明]
次に、図2を用いてドローン自動制御処理について説明する。通信手段ステップS21は、運転命令指示者と情報の送受信を行う。
[Description of operation]
Next, the drone automatic control process will be described with reference to FIG. The communication means step S21 transmits / receives information to / from the operation command instructor.

位置座標取得ステップS22は、飛行に必要な位置座標を準天頂衛星またはGPSから測位情報を取得する。例えば、上述のように、ドローン100には測位受信機103が備えられており撮像位置の位置座標が分かるので、画像から対処が必要なポイントの位置座標も分かる。さらには、ドローン100には高度計106が備えられているので高度も把握できる。 The position coordinate acquisition step S22 acquires the position coordinates necessary for flight from the quasi-zenith satellite or GPS. For example, as described above, since the drone 100 is provided with the positioning receiver 103 and the position coordinates of the imaging position can be known, the position coordinates of the points that need to be dealt with can also be known from the image. Furthermore, since the drone 100 is equipped with an altimeter 106, the altitude can be grasped.

衝突防止ステップS23は、飛行先に障害物がないかどうかを感知し障害物があれば回避する。例えば、上述のように、ドローン100にはセンサー109が備えられており飛行位置の近くに障害物あることが分かる。飛行先に障害物があれば人工知能20に障害物有りの信号を送り人工知能20の指示で移動するか、フォバリングを行い人工知能20の指示を待つことができる。The collision prevention step S23 detects whether or not there is an obstacle at the flight destination and avoids the obstacle if there is an obstacle. For example, as described above, the drone 100 is equipped with a sensor 109, which indicates that there is an obstacle near the flight position. If there is an obstacle at the flight destination, it is possible to send a signal of the obstacle to the artificial intelligence 20 and move according to the instruction of the artificial intelligence 20, or to perform fover and wait for the instruction of the artificial intelligence 20.

画像取得ステップS24は、ドローン100に備えられているカメラ102で撮像された画像を取得する。情報取得ステップS25は、蓄積情報110から情報を取得するステップであり、人工知能20が推論、判断できる状況を用意する。The image acquisition step S24 acquires an image captured by the camera 102 provided in the drone 100. The information acquisition step S25 is a step of acquiring information from the stored information 110, and prepares a situation in which the artificial intelligence 20 can infer and judge.

対処実行ステップS26は、人工知能20に対処・実行を命令された場合に、その命令に従い対処・実行する。例えば、農作業では害虫がいる場所に薬剤を散布する等々の対処・実行をする。When the artificial intelligence 20 is instructed to deal with / execute, the coping execution step S26 deals with / executes according to the command. For example, in agricultural work, measures and actions are taken such as spraying chemicals on places where pests are present.

位置座標記憶ステップS27は、対処・実行した位置座標を記憶する。例えば、後日、その課題の位置に再度の対処・実行する時に使用できるように記憶しておく。The position coordinate storage step S27 stores the position coordinates that have been dealt with and executed. For example, at a later date, the position of the problem is stored so that it can be used when dealing with and executing it again.

上述した手段、機能は、人工知能20が起動されることによって実現される。人工知能20は、例えば、コンピュータからネットワーク経由で提供される形態であってもよいし、例えば、ドローンに搭載される特化型人工知能でもよい。The above-mentioned means and functions are realized by activating the artificial intelligence 20. The artificial intelligence 20 may be, for example, a form provided from a computer via a network, or may be, for example, a specialized artificial intelligence mounted on a drone.

以上、本発明の実施形態について説明したが、本発明は上述したこれらの実施形態に限
るものではない。また、本発明の実施形態に記載された効果は、本発明から生じる最も好
適な効果を列挙したに過ぎず、本発明による効果は、本発明の実施形態に記載されたもの
に限定されるものではない。
Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments described above. In addition, the effects described in the embodiments of the present invention merely list the most suitable effects arising from the present invention, and the effects according to the present invention are limited to those described in the embodiments of the present invention. is not it.

以下、図1を参照して実施例1として「農薬散布の事例」を説明する。Hereinafter, a “case of pesticide spraying” will be described as Example 1 with reference to FIG.
運転命令指示者と通信手段21で人工知能20が通信を開始ドローンが起動、飛行指示に従い指示された畑や田圃等の農地の上空飛行を開始し、位置座標取得手段22で位置座標を取得しつつ飛行を行いつつ、衝突防止手段23で飛行先や飛行周辺に障害物がないことを確認、飛行を続けながら画像取得手段24で画像を取得して、人工知能20が情報蓄積手段25で蓄積している情報と取得画像を推論、判断し、害虫の被害がある場所であると判断した場合は、即時に対処実行手段26を使用してその場所に農薬散布を行い、次回の為に位置座標記憶手段27を使用してその対処の場所の位置座標を記憶する。指示されたその畑や田圃等の農地の面積が全て終了するまで人工知能20が農薬散布を実施するものである。 Artificial intelligence 20 starts communication with the operation command instructor by the communication means 21. The drone is activated, the flight over the agricultural land such as the field or rice field instructed according to the flight instruction is started, and the position coordinates are acquired by the position coordinate acquisition means 22. While flying, confirm that there are no obstacles in the flight destination or around the flight with the collision prevention means 23, acquire the image with the image acquisition means 24 while continuing the flight, and the artificial intelligence 20 accumulates with the information storage means 25. If it is determined that the place is damaged by pests by inferring and judging the information and the acquired image, immediately use the countermeasure execution means 26 to spray the pesticide on the place and position it for the next time. The coordinate storage means 27 is used to store the position coordinates of the coping location. Artificial intelligence 20 will spray pesticides until the designated area of farmland such as fields and rice fields is completely completed.

以下、図1を参照して実施例2として「水分散布の事例」を説明する。Hereinafter, “an example of a water-dispersed cloth” will be described as Example 2 with reference to FIG.
運転命令指示者と通信手段21で人工知能20が通信を開始ドローンが起動、飛行指示に従い指示された畑や田圃等の農地の上空飛行を開始し、位置座標取得手段22で位置座標を取得しつつ飛行を行いつつ、衝突防止手段23で飛行先や飛行周辺に障害物がないことを確認、飛行を続けながら画像取得手段24で画像を取得して、人工知能20が情報蓄積手段25で蓄積している情報と取得画像を推論、判断し、作物の水分が足りない場所であると判断した場合は、即時に対処実行手段26を使用してその場所に水分散布を行い、次回の為に位置座標記憶手段27を使用してその対処の場所の位置座標を記憶する。指示されたその畑や田圃等の農地の面積が全て終了するまで人工知能20が水分散布を実施するものである。 Artificial intelligence 20 starts communication with the operation command instructor by the communication means 21. The drone is activated, the flight over the farmland such as the field or rice field instructed according to the flight instruction is started, and the position coordinates are acquired by the position coordinate acquisition means 22. While flying, confirm that there are no obstacles in the flight destination or around the flight with the collision prevention means 23, acquire the image with the image acquisition means 24 while continuing the flight, and the artificial intelligence 20 accumulates with the information storage means 25. If it is determined that the place is lacking in water content of the crop by inferring and judging the information and the acquired image, immediately use the coping execution means 26 to spread the water in the place and use it for the next time. The position coordinate storage means 27 is used to store the position coordinates of the corresponding place. Artificial intelligence 20 implements water dispersion until the designated area of farmland such as fields and rice fields is completely completed.

以下、図1を参照して実施例3として「栄養分散布の事例」を説明する。Hereinafter, “an example of a nutrient dispersion cloth” will be described as Example 3 with reference to FIG.
運転命令指示者と通信手段21で人工知能20が通信を開始ドローンが起動、飛行指示に従い指示された畑や田圃等の農地の上空飛行を開始し、位置座標取得手段22で位置座標を取得しつつ飛行を行いつつ、衝突防止手段23で飛行先や飛行周辺に障害物がないことを確認、飛行を続けながら画像取得手段24で画像を取得して、人工知能20が情報蓄積手段25で蓄積している情報と取得画像を推論、判断し、作物に栄養分が足りない場所であると判断した場合は、即時に対処実行手段26を使用してその場所に栄養分散布を行い、次回の為に位置座標記憶手段27を使用してその対処の場所の位置座標を記憶する。指示されたその畑や田圃等の農地の面積が全て終了するまで人工知能20が栄養分散布を実施するものである。 Artificial intelligence 20 starts communication with the operation command instructor and communication means 21 The drone is activated, starts flying over farmland such as fields and fields instructed according to the flight instruction, and the position coordinates are acquired by the position coordinate acquisition means 22. While flying, confirm that there are no obstacles in the flight destination or around the flight with the collision prevention means 23, acquire the image with the image acquisition means 24 while continuing the flight, and the artificial intelligence 20 accumulates with the information storage means 25. If it is determined that the crop is in a place where the nutrients are insufficient by inferring and judging the information and the acquired image, immediately use the coping action means 26 to spread the nutrients in the place and use it for the next time. The position coordinate storage means 27 is used to store the position coordinates of the corresponding place. The artificial intelligence 20 implements the nutrient distribution cloth until the designated area of the farmland such as the field or rice field is completely completed.

以下、図1を参照して実施例4として「液体セメント散布の事例」を説明する。Hereinafter, a “case of liquid cement spraying” will be described as Example 4 with reference to FIG.
運転命令指示者と通信手段21で人工知能20が通信を開始ドローンが起動、飛行指示に従い指示された橋梁の下の空間を飛行開始し、位置座標取得手段22で位置座標を取得しつつ飛行を行いつつ、衝突防止手段23で飛行先や飛行周辺に障害物がないことを確認、飛行を続けながら画像取得手段24で画像を取得して、人工知能20が情報蓄積手段25で蓄積している情報と取得画像を推論、判断し、橋梁の撮影部分に補修が必要な場所であると判断した場合は、即時に対処実行手段26を使用してその場所に液体セメント散布を行い、次回の為に位置座標記憶手段27を使用してその対処の場所の位置座標を記憶する。指示されたその橋梁の面積が全て終了するまで人工知能20が液体セメント散布を実施するものである。 Artificial intelligence 20 starts communication with the driver commander and communication means 21 The drone starts, starts flying in the space under the bridge instructed according to the flight instruction, and flies while acquiring the position coordinates with the position coordinate acquisition means 22. While doing so, the collision prevention means 23 confirms that there are no obstacles in the flight destination or around the flight, the image acquisition means 24 acquires the image while continuing the flight, and the artificial intelligence 20 stores the information in the information storage means 25. If the information and the acquired image are inferred and judged, and it is determined that the photographed part of the bridge is a place that needs repair, immediately use the countermeasure execution means 26 to spray liquid cement on that place for the next time. The position coordinate storage means 27 is used to store the position coordinates of the corresponding place. Artificial intelligence 20 will carry out liquid cement spraying until all the indicated area of the bridge is complete.

以下、図1を参照して実施例5として「防錆剤散布の事例」を説明する。Hereinafter, a “case of spraying a rust inhibitor” will be described as Example 5 with reference to FIG.
運転命令指示者と通信手段21で人工知能20が通信を開始ドローンが起動、飛行指示に従い指示された橋梁の下の空間を飛行開始し、位置座標取得手段22で位置座標を取得しつつ飛行を行いつつ、衝突防止手段23で飛行先や飛行周辺に障害物がないことを確認、飛行を続けながら画像取得手段24で画像を取得して、人工知能20が情報蓄積手段25で蓄積している情報と取得画像を推論、判断し、橋梁の撮影部分に防錆補修が必要な場所であると判断した場合は、即時に対処実行手段26を使用してその場所に防錆剤散布を行い、次回の為に位置座標記憶手段27を使用してその対処の場所の位置座標を記憶する。指示されたその橋梁の面積が全て終了するまで人工知能20が防錆剤散布を実施するものである。 Artificial intelligence 20 starts communication with the driver commander and communication means 21 The drone starts, starts flying in the space under the bridge instructed according to the flight instruction, and flies while acquiring the position coordinates with the position coordinate acquisition means 22. While doing so, the collision prevention means 23 confirms that there are no obstacles in the flight destination or around the flight, the image acquisition means 24 acquires the image while continuing the flight, and the artificial intelligence 20 stores the information in the information storage means 25. If the information and the acquired image are inferred and judged, and it is determined that the photographed part of the bridge needs rust-preventive repair, immediately use the countermeasure execution means 26 to spray the rust-preventive agent on the place. For the next time, the position coordinate storage means 27 is used to store the position coordinates of the corresponding place. The artificial intelligence 20 will spray the rust preventive until the designated area of the bridge is completely completed.

以下、図1を参照して実施例6として「防錆レーザー照射の事例」を説明する。Hereinafter, a “case of rust-preventive laser irradiation” will be described as Example 6 with reference to FIG.
運転命令指示者と通信手段21で人工知能20が通信を開始ドローンが起動、飛行指示に従い指示された橋梁の下の空間を飛行開始し、位置座標取得手段22で位置座標を取得しつつ飛行を行いつつ、衝突防止手段23で飛行先や飛行周辺に障害物がないことを確認、飛行を続けながら画像取得手段24で画像を取得して、人工知能20が情報蓄積手段25で蓄積している情報と取得画像を推論、判断し、橋梁の撮影部分に防錆補修が必要な場所であると判断した場合は、即時に対処実行手段26を使用してその場所に防錆レーザー照射を行い、次回の為に位置座標記憶手段27を使用してその対処の場所の位置座標を記憶する。指示されたその橋梁の面積が全て終了するまで人工知能20が防錆レーザー照射を実施するものである。 Artificial intelligence 20 starts communication with the driver commander and communication means 21 The drone starts, starts flying in the space under the bridge instructed according to the flight instruction, and flies while acquiring the position coordinates with the position coordinate acquisition means 22. While doing so, the collision prevention means 23 confirms that there are no obstacles in the flight destination or around the flight, the image acquisition means 24 acquires the image while continuing the flight, and the artificial intelligence 20 stores the information in the information storage means 25. If the information and the acquired image are inferred and judged, and it is determined that the photographed part of the bridge needs rust-preventive repair, the countermeasure execution means 26 is immediately used to irradiate the location with the rust-preventive laser. For the next time, the position coordinate storage means 27 is used to store the position coordinates of the corresponding place. The artificial intelligence 20 carries out rust-preventive laser irradiation until the designated area of the bridge is completely completed.

以下、図1を参照して実施例7として「橋梁の状況撮影の事例」を説明する。Hereinafter, “an example of shooting a bridge situation” will be described as Example 7 with reference to FIG.
運転命令指示者と通信手段21で人工知能20が通信を開始ドローンが起動、飛行指示に従い指示された橋梁の下の空間を飛行開始し、位置座標取得手段22で位置座標を取得しつつ飛行を行いつつ、衝突防止手段23で飛行先や飛行周辺に障害物がないことを確認、飛行を続けながら画像取得手段24で画像を取得して、人工知能20が情報蓄積手段25で蓄積している情報と取得画像を推論、判断し、橋梁の撮影部分で拡大撮影が必要な場所であると判断した場合は、即時に対処実行手段26を使用してその場所の拡大撮影を行い、次回の為に位置座標記憶手段27を使用してその対処の場所の位置座標を記憶する。指示されたその橋梁の面積が全て終了するまで人工知能20が撮影を実施するものである。 Artificial intelligence 20 starts communication with the driver commander and communication means 21 The drone starts, starts flying in the space under the bridge instructed according to the flight instruction, and flies while acquiring the position coordinates with the position coordinate acquisition means 22. While doing so, the collision prevention means 23 confirms that there are no obstacles in the flight destination or around the flight, the image acquisition means 24 acquires the image while continuing the flight, and the artificial intelligence 20 stores the information in the information storage means 25. If the information and the acquired image are inferred and judged, and it is determined that the shooting part of the bridge requires magnified shooting, the countermeasure execution means 26 is used to immediately perform magnified shooting of the place for the next time. The position coordinate storage means 27 is used to store the position coordinates of the corresponding place. Artificial intelligence 20 will take pictures until the designated area of the bridge is completely completed.

以下、図1を参照して実施例8として「橋梁剥離状況撮影の事例」を説明する。Hereinafter, “an example of shooting a bridge peeling situation” will be described as Example 8 with reference to FIG.
運転命令指示者と通信手段21で人工知能20が通信を開始ドローンが起動、飛行指示に従い指示された橋梁の上下左右の周辺を飛行開始し、位置座標取得手段22で位置座標を取得しつつ飛行を行いつつ、衝突防止手段23で飛行先や飛行周辺に障害物がないことを確認、飛行を続けながら搭載されている赤外線カメラや360度カメラを使用して画像取得手段24で画像を取得して、人工知能20が情報蓄積手段25で蓄積している情報と取得画像を推論、判断し、橋梁の撮影部分で剥離しているので対処が必要な場所であると判断した場合は、即時に対処実行手段26を使用してその場所の拡大撮影を行い、次回の為に位置座標記憶手段27を使用してその対処の場所の位置座標を記憶する。指示されたその橋梁の面積が全て終了するまで人工知能20が撮影を実施するものである。 Artificial intelligence 20 starts communication with the driver commander and communication means 21 The drone starts, starts flying around the bridge instructed according to the flight instruction, and flies while acquiring the position coordinates by the position coordinate acquisition means 22. While performing, confirm that there are no obstacles in the flight destination or around the flight with the collision prevention means 23, and acquire the image with the image acquisition means 24 using the infrared camera or 360 degree camera mounted while continuing the flight. Then, when the artificial intelligence 20 infers and judges the information accumulated by the information storage means 25 and the acquired image, and it is judged that the place needs to be dealt with because it is peeled off at the photographed part of the bridge, it is immediately determined. The coping execution means 26 is used to take a magnified image of the place, and the position coordinate storage means 27 is used to store the position coordinates of the coping place for the next time. Artificial intelligence 20 will take pictures until the designated area of the bridge is completely completed.

以下、図1を参照して実施例9として「物体温度収集の事例」を説明する。Hereinafter, “an example of object temperature collection” will be described as Example 9 with reference to FIG.
運転命令指示者と通信手段21で人工知能20が通信を開始ドローンが起動、飛行指示に従い指示された建物や橋梁の上下左右の周辺を飛行開始し、位置座標取得手段22で位置座標を取得しつつ飛行を行いつつ、衝突防止手段23で飛行先や飛行周辺に障害物がないことを確認、飛行を続けながら搭載されている温度センサーが画像取得手段24で温度を取得して、人工知能20が情報蓄積手段25で蓄積している情報と取得画像を推論、判断し、橋梁の撮影部分で剥離しているので対処が必要な場所であると判断した場合は、即時に対処実行手段26を使用してその場所の拡大撮影を行い、次回の為に位置座標記憶手段27を使用してその対処の場所の位置座標を記憶する。指示されたその建物や橋梁の面積が全て終了するまで人工知能20が温度収集を実施するものである。 Artificial intelligence 20 starts communication with the driver commander and communication means 21 The drone is activated, the flight starts around the building or bridge instructed according to the flight instruction, and the position coordinates are acquired by the position coordinate acquisition means 22. While flying, the collision prevention means 23 confirms that there are no obstacles in or around the flight destination, and the temperature sensor mounted while continuing the flight acquires the temperature with the image acquisition means 24, and the artificial intelligence 20 Infers and determines the information accumulated by the information storage means 25 and the acquired image, and if it is determined that the location needs to be dealt with because it is peeled off at the photographed part of the bridge, the coping execution means 26 is immediately used. It is used to take a magnified image of the place, and the position coordinate storage means 27 is used to store the position coordinates of the corresponding place for the next time. The artificial intelligence 20 will carry out temperature collection until the designated area of the building or bridge is completely completed.

以下、図1を参照して実施例10として「打音検査の事例」を説明する。Hereinafter, a “case of tapping sound inspection” will be described as Example 10 with reference to FIG.
運転命令指示者と通信手段21で人工知能20が通信を開始ドローンが起動、飛行指示に従い指示された建物や橋梁の側面、壁、柱を飛行開始し、位置座標取得手段22で位置座標を取得しつつ飛行を行いつつ、衝突防止手段23で飛行先や飛行周辺に障害物がないことを確認、飛行を続けながら対処アーム106で打音検査を行い、画像取得手段24でその打音を集音機105で取得して、人工知能20が情報蓄積手段25で蓄積している情報と取得打音を推論、判断し、打音部分が剥離しているので対処が必要な場所であると判断した場合は、即時に対処実行手段26を使用してその場所の撮影を行い、次回の為に位置座標記憶手段27を使用してその対処の場所の位置座標を記憶する。指示されたその建物や橋梁の面積が全て終了するまで人工知能20が打音検査を実施するものである。 Artificial intelligence 20 starts communication with the driver commander and communication means 21 The drone is activated, the side, wall, and pillar of the building or bridge instructed according to the flight instruction are started to fly, and the position coordinates are acquired by the position coordinate acquisition means 22. While flying, confirm that there are no obstacles in the flight destination or around the flight with the collision prevention means 23, perform a tapping sound inspection with the coping arm 106 while continuing the flight, and collect the tapping sound with the image acquisition means 24. Acquired by the sound machine 105, the artificial intelligence 20 infers and determines the information accumulated by the information storage means 25 and the acquired tapping sound, and determines that the tapping sound portion is peeled off and therefore needs to be dealt with. In that case, the coping execution means 26 is used to immediately take a picture of the place, and the position coordinate storage means 27 is used to memorize the position coordinates of the coping place for the next time. The artificial intelligence 20 will carry out a tapping sound inspection until the designated area of the building or bridge is completely completed.

2 ドローン自動制御システム2 Drone automatic control system
20 人工知能(AI)20 Artificial intelligence (AI)
21 通信手段21 Communication means
22 位置座標取得手段22 Position coordinate acquisition means
23 衝突防止手段23 Collision prevention measures
24 画像取得手段24 Image acquisition means
25 情報蓄積手段25 Information storage means
26 対処実行手段26 Countermeasure execution means
27 位置座標記憶手段27 Position coordinate storage means
100 ドローン100 drone
101 人工知能(AI)101 Artificial Intelligence (AI)
102 カメラ102 camera
103 準天頂衛星測位受信機(GPS)103 Quasi-Zenith Satellite Positioning Receiver (GPS)
104 高度計104 altimeter
105 集音機105 Sound collector
106 対応アーム106 compatible arm
107 散布機107 Spreader
108 レーザー照射機108 Laser irradiator
109 センサー109 sensor
110 蓄積情報110 Accumulated information

Claims (1)

ドロ-ンを自動運転、自動制御、自動対処させる頭脳である人工知能(AI)と、
運転命令指示者と通信する通信手段と、
準天頂衛星の測位情報に基づいて位置を把握する位置座標取得手段と、
衝突を防止する衝突防止手段と、
撮像された画像を取得する画像取得手段と、
人工知能に情報を提供するビッグデータである情報蓄積手段と、
前記画像と前記情報を瞬時に推論、判断、対処を決定する人工知能と、
人工知能が決定した対処を即時に実行する対処実行手段と、
対処実行した位置情報が再度利用できるように記憶する位置座標記憶手段と、
を備えるドローン自動運転、自動制御、自動対処システム
Artificial intelligence (AI), which is the brain that automatically drives, controls, and responds to drones,
Communication means to communicate with the driver commander,
Position coordinate acquisition means to grasp the position based on the positioning information of the quasi-zenith satellite ,
Collision prevention measures to prevent collisions,
Image acquisition means for acquiring captured images, and
Information storage means, which is big data that provides information to artificial intelligence,
Artificial intelligence that instantly infers, judges, and decides what to do with the image and the information .
A coping execution method that immediately executes the coping determined by artificial intelligence,
Countermeasures A position coordinate storage means that stores the executed position information so that it can be used again,
Drone with automatic driving, automatic control, automatic coping system .
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Publication number Priority date Publication date Assignee Title
WO2015163107A1 (en) 2014-04-25 2015-10-29 ソニー株式会社 Information processing device, information processing method, and computer program
JP2018046787A (en) 2016-09-23 2018-03-29 ドローン・ジャパン株式会社 Agricultural management prediction system, agricultural management prediction method, and server apparatus

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015163107A1 (en) 2014-04-25 2015-10-29 ソニー株式会社 Information processing device, information processing method, and computer program
JP2018046787A (en) 2016-09-23 2018-03-29 ドローン・ジャパン株式会社 Agricultural management prediction system, agricultural management prediction method, and server apparatus

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