Spandonidis, C.; Theodoropoulos, P.; Giannopoulos, F.; Galiatsatos, N.; Petsa, A. Evaluation of deep learning approaches for oil & gasoline pipeline leak detection utilizing wi-fi sensor networks. Remarkably, the optimized PCNN mannequin, which employs TFD options, MFCCs’ features, and uncooked indicators as inputs, outperforms the HFB classifier and traditional deep studying architecture in leak detection. https://pastelink.net/n4g5u60a of MFCCs’ options and the architecture of characteristic fusion contributes to the spectacular accuracy of 99.70%. The pipe in the Esparron space was lastly checked for leaks in June with ultrasound sensors. The soil was dug in several locations earlier than and after the 90° flip in order to put the microphone instantly on the pipe, but no leak was discovered. The conclusion is that the water seen in the “wet” area will have to have a pure origin .

div style="text-align:center"> <iframe width="566" height="310" src="https://www.youtube.com/embed/DUWCHDdI3Tc" frameborder="0" alt="water leak detection" allowfullscreen></iframe></div> Although D-Link will proceed to assist software updates on the DCH-S161, the corporate just introduced plans to discontinue the Mydlink Home app, in addition to cloud providers and software program updates for the DCH-S160, on December 30, 2022. That model was launched in July 2015 and discontinued in April 2018. Although https://notes.io/qEQcR 'll have the ability to mute the hub’s siren within the app and at the system, it will start up again after 30 seconds so long as water is still current, and it'll continue until the issue is cleared up. That might be a problem if you’re away from home, especially if you have pets or guests who may be bothered by the alarm.

h2>Resideo Wi-fi Water Leak & Freeze Detector</h2> With HomeKit? help, it is a sensible choice for iPhone homeowners with a house hub . HomeKit? is also ideal in case you have privacy issues because you may be certain no information will be shared with third events. There is an Eve app, however you might also view the Water Guard and set notifications immediately via the Apple Home app. It plugs instantly into an outlet and has a 6.5-foot cable that senses any water and instantly alerts you on your iPhone, iPad, and Apple Watch, wherever you're, supplied you may have a working residence hub. You can review alarm historical past, take a look at or mute alarms, and replace system firmware within the Eve app. Burst pipes, leaky bathrooms, and misbehaving home equipment can really dampen your day. Cities worldwide have been plagued by water pipe leaks for so much of decades, leading to monetary losses, public well being risks, and environmental impacts. Current follow nonetheless depends closely on periodic and localized inspection rather than long-term steady monitoring, and since water pipelines are buried underground, leaks can often go undetected for prolonged durations. Noninvasive acoustic-based strategies for steady pipeline monitoring have gained increasing reputation the previous decade because of the recent advances in sensing and communication expertise. Previous analysis indicates that hydrophones, particularly, are able to successfully detecting leak-induced acoustic waves inside a water pipe.

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?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?/EOJJ7yDbreKUkkaKzRzGhjmBr8YrpTUldM+Pr4erQlkqxcZdkk0/cyc60TpckwB6wPx/OtwRgE5AhQzAJA98XIPIzeRWq7qhS3eLRAzE/ID4mfca3WvLx9RqSiuWp?+o+j/hcXhquIqRTU3kSaunFe14pt2f3TW9o7IUgEokiP8w/W3S9VeJfKzmXdUJTwpATlSDBMWmTEAaRewFbxUDG7KSoz7KuZGh9R1761KON5T95hx7oGnergN93Tb0/C3t4PTsa2I27mzvtKBmxEfH16/KnNpY0KAy3RcATZSuvQgc57VNxqglIAUBIudLXzE2OgHbURrUrcnd84p1IAIbTF/wCEfG5/Ou+Fpa8j8wr0p0ZOnUTUlo01ZrxRs?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?/60FH/AOVeesHuY+ooGCaeUQhCPObCkpU8poDEKDqoSBnccaCgQMiU6E39Nb/7FXiMMtlMEOqYSo24UfSGi4TPRsKMc603A4F1jzhh8Xhm2Wm1XUmSgEkSghRBmCASLVnGjn1ex2YSpkva17W17ziGI8H8cgAfRQQVZBleYjNyTd0QfkKY254U4xhsuO4XgSMysimnVJSBJKktLUqABJUAQBckVP2lg8Q66lpsuPuZlHI2VWJVmUpaiEi?+YEuLMAQJAAFemvCPYKsPhmWnVBa2krmJUkZ3FrypUqCUoCggSBpYAQBJKMvZuaKicXZ2I26mEyYbCoiMmFwyP9LDafyqwKKt8bhTISkWA4QBECNB2ERFR/onCDzJICew51HE1FcpFNLaqYtFNEViQr3mKgYjCz?/QkH3EEEeoqo3n2zil4oYTADDhaGPpDzuJC1oTmVkaZSltaVBbhhWY2CZ6VL3A299NwrOIyeWpwKC0ahDja1NuJBN8uZBIm8EetW4scv8AEfc5OF2a4xgsCcWVKgNq?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?+tz8PPEd/AkJB85ibsLJ4R/8ARXctnnlgoN+EEzXp4fiDXVqe/wDc/MukPo?+hVvW4f1Zbum/Zf3X9XwfV7HFHq5V6yG7TPu51re5G+TGNRmYXxADO0qEutz95Mm02zplJ5GtlQR6zz6V60ZKSutj8lxGGq4eo6VWLjJbpqzQhpcGelJJmskUmsjSUviHu?+jFsFlxYb8xSS0oZSoOtytJShRGfhC5SIJTngiJHLdoJ2nstCXFYlrE4ZtTbZCuPKFEIQCFJS8hJUUoHluKCSpNoBrq282wU4ny8zjramVh1lbKsq23QFoKpOZKklCyjIU6FV+KKrNq7meflTisU++0lQV5OVllCyNPNLTYUsa8xryrB9xUaVtDeUq2ng3y2pTbmBZVh2kxmC8Y257OaIKlqDaiYJCBawFbjtTZ+KxaFNu+ThmXEFLjeQvvkHl5hUlpJBghSUkggEQQCJG/G5reLQkSWXGv7l1sCUAQQkpkSgEAgApKSOFSZMsYTZuPjI5jWMsQXkYb?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?+ZoCe9O5IHu/M0LYewipNXWEatVfspEgW/Zq+wyO0Xk9Ta3urVMoNNwKsWGh3ukk6dfw01pWGQNDPLTr31tqdO1pmn0sk6nXXTl+FarmRj6PEFQgG49xjnPOR8amowoNyUjLHCcxKgVQYISYMalUCIiYALK1kn0A0GkWi2gsAKlvOpAgG51PPnKRe2gN7nlpWu4ImJAIiJjvHW9/fervD7cgXbKQnKJmwmIBJAjh4vT3VT4sRHDGt9SbCROhy/majYnQSOZkga6VjUowqK0j1OGcZxfDpSlhpWzWv1Yu9r23TtvysXT+97aSApLl?+aQlQ/5p+VTdl7wtOnKgqnoUKHziK03H4dIvBzk6k26QYTMd5q43CaBJMZYTYdDI+fOueWBpW5+8+gpdPuJx3yPxj/APLRtjzwT7RAnSSKcwYz?/wB2CvsgFZ+CZql2u2EGBPX8b6kDU6flXR/7POEl0qHIED3xNalgItXuzvh6R8VF9ejB+Dkvm5GqvNFJhSVJPRQKT8CAabmt88f3wrFoT9xpIPYmVW/1H5VUbuYAuLbSAmcpVChKYEC9ja4rBcPbdk?/gd0PSVG154d+U7/OC+ZrdFejN29xsMpCfOwuHK44yhsAE9QQAe9WyvCTALBnD5YvwPPp5gWAcj3Ulwyotmvj+x10vSVgH7dOqvBRf+5Hl2ivSOK8DsEr2VYlv/C6lX/3Gl1WYjwCZ+xi3x/jQ0v8A5Qitb4fWXJe89Cn0/wCEy3lKPjB/7cxwjZ+MW0tK2lqbcQZStBKVD3jkeYNiLEEV3Lw48aUrytY+G1aDEpENq/8AFSP7s/xp4NZCKr8V/Z/X9jGoPZWHUn5h4/hVTi/AvFj2HcKv1W6j/wBo/jVpU8RRd0vLc5uKcS6OcYp5K1WN+UrSjKPg5RWnc7ruPRDawQCkgggEEGQQdCCLEHqKWa4buXu/tfZ5AbabxDM8WH+kIy3Ny2pwoLSudpBvKSa7NsrFlaApTTjSj7Ta8hUk8xKFKQrsoEg?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?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?/ADjXuzn5hNeT0pjS1ZrS+Jz5JH0NP0aYNLr1qjfdlXwal8z1xgPEHZ6pnG4cWtmcCL8pz5bVfYDFtuiW3EOA3zNrStMeqSRXimlYZwoOZClIV95BKVf6kkH51Y8TlzijViPRnQa?+hryT/qipfLKe1XucVHVXmjdvxUxjEBTv0hAjgfGYwOjohye6iodq63uZ4qYbFEIXOGeNghwjIo9G3bJJmwCglR5A12UcbTqabPvPi?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?+lZw6CRFjeY5n+lMuj96UsCQtIj8KjuUlJ6aetc58b/ET6GgMsKCsU6mZMHyGz?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?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?+n9aQu37/rTTGIg1hxc/v8AoKjFiS3iwnX8SPmBNRl7QBJHqeZMa6m+nWoG1VnLzNx?+/SoyXxysYI06iD+dW4Fb5b2N4TDuPmFZRDaZP1jirIRpYE3JvCQo8q8l7X2it5xx11Wdx1RWtXUnoOSQISByAA5VvHjhvCXXksJP1eGkkDQvLAKj3yoypB5EuCueKNeHjq2eeVbL5n7r0F4IsFglXmvpKqT8IfVXn7T8UnsW26ewHMW8hlkDMu5UfZQge04v+FM+8lIFyK9I7s7kMYZAbbvYZ1qjO4rQqN9OiRZI+Na94c7qIw2CKlf/ALl5QU7MSgAHIyBzCQc034yvlFbkzhC+6pKiQ22OHKo8QEC6BA6meI6V04Skoata/ufDdMukssfWeHoy?+hi7afXkvrPuX1ffz0mYTYyUkaCrRLIGire63rSsLhcqUoEkAm6vsjoZAJ6e41QM4oqWsF1ScqyhMDMJzFMEFQiOHrYnpXoKR8IzaGlwPsn3x+tJdxGllWtoB/U/jWqsYl1x5wDEFlhlxaVkNhZWQsohMoyoghImCDm61d4/eRJcUiQkIiCuEgmYCQYJgcwqJtB1FZqOl2Yl3hrgQoX5C9oN7RzH41l5IgAEgTHKDIJ9deVU+IxjgdyfV8fmFCSLKAmCq5hQymYA0NzTz7hsDw2BMG2aLkXNpJitEHeVjNrQaXTC6dVTKzXQjBnDPGnw7DWbE4ZMN6vtJ0bnV1A5I+8kWTqLTHJK9lOAEEEAgiCDcEHUEdDXmLxW3V+h4gpSPqXQXGewnib/AP4yQB/CUama8bHYbL147cz9l6CdJ5YuP8FiHecVeEnvKK3T7XHe/OO+13tXgFvdkX9EdPA4Spgn7DlypvslyCofxg8113A146acKSFJJSpJCkqGqVJMpUO4IB91erNx9vDFYZl4RK0wsDRLiTlcHoFgx2it3D6+ZZHy28DwvSHwNUK0cdSXVm7T+/un+JJ3703uy4VVVvDiFobcU035riUkoazpb8xQ0TnVZEn7R0qzcNa9vol4tK+juNtOSkhbrZdQADKwUhSTdNgQRGtei3Y/NTy74p7XcexZLrXkrGVKmfMDpTlSBHmJASSTJtIvWz4NPlbNb6uLUvWbQqPktPw71zPail4jELhWZbruUEWlS1wCAdBJ06V1bxJfDTbDAMpw7ITF8p4RbQEmAgTJNta0RjeVzslpGx49ooor0CBWRWKyKAUBWUKpFZFAOA/gfwpMUIV+f4UtKaWAkCnGWyTAqbgmUyARJJ6kAVctsBPso94P61Gy2G9mYMIEnWl4lBc/hH41B2jjiYCQI5/pTLmOIAhRnpWGVspnHHKSLyNYE29dKkbPfAMpBBtqAY9b1Ew2PAnMgKJMmRP6EfGpmH2go2Q2j/1z/wA9SSYTJuMxAcI8wwByToO+v51lUJTwmQBr/mNVKseomCgA9BKfxzH51OwwUbBNymTeYhR7CplaKT2XNOYnWBqR11iwtUgYwhFwm8wM0FQnUiOv4imcGNByEiR3uflaDQ3hZPEqBxBJi2kxlE9B8qgLTZmKS4kKV5i3CslRU4AgoCICSCJUvNqpRHCkAe0YwrECBF7ATABBGot3/Km0YklMgJzJUhOgEpMiMqQEwIvpOa?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?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?+1zgXrSdm79GVAwSgzPlyBIIsVSTzuAKaX4iqSRlTmVMEQpHlyCQowoSkAag2rNhWN/xez1fSEOSkoQmJkKUMwcBKTMgHMBY9etT1Efub/EmucbO38ccKsraVLmPKJPma91GQB9qw/GqXanjCMOopfw5kEp+qfzcSdRCkzz9JkXimRrUOSOvGml1xxHj7h5vh8V7lMK+VjXQt0t5hikJWhl5tChKS75QkHnCVkge6qYvQv655/aCwzZwRU4QlTbrfknmpxZylsf4m86unADyroZTWm+LWzlLZaWlo4j6NimMSWE5ipxDZIcyJSoZ1hCyoIOYGDwkxWFSGeDi?+Z2cPxs8HiaeIhvGSfjbdea0fczzNXSPBzfhOEQ+263iHESHx9HaLxbCU5XnHACMjSQGyV6AzOornmLaCVLSM2VKlJTnSUrygkJKkkApURBKTcGRUnYmN8tSz5y2Aph9CnEAEkFtSktkEGUuuJQ0YgwqxTqPn8NJwqrxt+h/QHSfDRxvCayWvUzx?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?+0QpSlRHsmdANRYaVtuNwGITCgXUwYGUqKVR91KTlnvFRN7GVOfRg9AeU4AYgLKCtIBcESroAqRrbWq0RGlbCwTyXxkKomSUTnKRqnXQ6elX+/uz3kIzNJdUTdILaXFKKif8A6agAARcm+U3vWsYjAkPrKTkh57izLkgLWPZzic0WAIAn3VuewmlvAlxwNBBSEIDvluOqIMAqEAJOn2iTMgQJ2U5xytElF3ucU3texSUnzCnD2UqVILGaAfaUhEEcoJ1I616s3cwQabbbAgNtoR/pSEn8K4h4m+apxH0pkcMoQM7hQEuRYFtafMJyplZInJomu?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?+tQHniSQNQYsPd00Ot6rVbVWlxJcDqMPCblOVKisJyuKUYW2kE5S2qMp9qOGdhXhOhIEdQZ+IJrfLUciu2dswJK51V6gFWsxofzrTvHnYefZuICRHlJQ6AAoyGFpcMzz8tKxNdEbwxEcU89P0NY2lhQ4haFgFK0qSoTEhQII94MUqQU4OPamjrwGJeFxNOuvqTjL8rTPA9dx/sxbW+rxbE3C0YhOl86fKXqJtkb?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?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?+dbDuPvQvDLSpCoKTcdBN/UUhllLiMyblRMiTr3kzVNj8MU3EA62ECO9YqfIrVz2v4Vb+N4xCBmCVaqTa9ovzqb4peGrONRaG3kjgeA4gJsFi2dPqbcuh8Xbnbzu4ZaVIVlIM9j+xavXPhN4utYpKUOqCHIibQT7z8q36M0NWPOW/W7OJwKiy?+ClK1JKXAmW3MigrhURYyBIBnSelde8Pt8MM8lprMrCLbcS9wuFPmqAOYKXJzhRsUr5AAaCu47y7GbxDRQttDqVWCTBv1Bg5SOvzFedfEbwLdZl3BlTiZ/uSRnSD906EDprpbmcHFx2K3dWkd1ZwgWMrjiyhS0uAEkkZSD5ZJJ+rUUjhi1xJBttcRoNOX5XryBuJ4o4jBK8vEJU4lJykLkuJANwJN+lzXpbdbfFl8A+YATGWTY/5tJ5RW+nVTNTg4m2NqrNMNOakj39fgKc9/7/AGa3jNoebv7Vu64Q83imxZ1IafAGi0j6pw2+2gFsnl5aB9quIV7i313cZxTSmsRCkqBA0BSYIC0HktEyDyNeM97933MG+4w77SDwqAhLiD7Dieyhy5EKTqk18/xLD5J51s/n/k/a+gXHVisL/CVH9JTWnfDl?+X2X3Ze87x/Zz33OISnCuqHmMI+rzauNJgCDqVtjhOpIynrXQn8S6MR5aUs5CM/EVhSUJICiSk3JOaOGLCTXjfZmOW0tDjSyhxtWZC0mCDp7wQSkg2IJBkEivVfgtv8AM45OWzWKQ2A4zPCtIJlbQUTLeYklIugqhUgpUrr4filNKEt+Xf8A5Plem/RWeGqSxuGjenJ3ml9ST3f3W/JPTRWNq3h2ioZAy2h7NmJJchISkTPCFSSRHvqh2Lvil9pDqGyErCwUKUltSVNvFrIc8JCybhKilURaTFbnjMGnlCDlKcwCZykREEQRWv4/YmZCmmSMOhRQSlptEygJGYSDBhCOsBIvXqSiu0/OSfimogR+vpMXimsQ0UxNukkX9KnExIm?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?/hNHsC3wzlqsWzN+0duX7+NQFJ5gyFXFSGnYB9Pz/fxrnZUZOKUYEWmASIhMD5Ced6tNkY1ICkhIcMDKskgpUJuk8wCdOcC9U7i40TOa3YW1qx2Js9RICCpZAJyxAQJMSZggiTPDeBBpyKS0iRe06z+epqQnAZQLFGdCVAZTcGwUmYsqCQRIMa1HAsomwj2sv59Kcxbi2luB4kKSACm1ouAMpi3Qdq1lJGzHgglKuZEGBKY1Oh1/Kntp4wFKJBWJVYg2EoETINzB7VUYd5QOax1g24emk6A85vUl50r1kkmcwKQIMa6aW5QL0yoXGs2gUSoGwnlbl6G99ahYh/KohQtPQ/HSpbqNCSg5SRHefdMQNOGh5vMpOaxgGYgEBJUIvfhItWVyDZUVfxAeyDAseQ5RUTG4lSVFKwpBHtgkT1hUSDa9jeasBhgEp4glWZUIi5ECDawHIX5GmMc6VAhUkaAmxgT2HU0QZCexWUWTM2vy6W0ow2IkXAB7W15AaWp5jDXve03g6fnT7uHHIHnVFyVsbaxQQZMcxOtbYw?+ly4InUif3HrWhrTax?+NjT2G2mUwBA5xF7631I7aVqlAqZtOJwg5TEfmfTQVjZ20lNqBSSCO9MbP2kFjoRTzjAVoYPUVgnYNXO++E3jkpspbxBzJsMx1j4wa9Jbt7ys4oAtuJVIFpr5yKzJg?+vyratz9+3GFAoWpBHKbVtjMwcT2xvp4c4bGAh5vjMEutjIsEaEKGvoc1j3rjm1/B7HYRSl4F7zW9ciuFdojsoctZnkNak7gf2gPZS+M0mM02jr/AEFdp3c32w74lKwOxM3rK0ZGNrHCNmeMmMwhyYrDkRMpUkoIk2MKBtE6R8q3TA+OOHXkBhBMahaAgkGZV7MDTW9q6RvDuyxigPMQ26IyyUpVa?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?/dZL+41pjdlWrigj+EcS/eBZP8AmIParjCYJCPZTHc3UfVUD4AAdqkVhSoubAczXFVxM6mnLsR99wborguGfSLrTX15cvuraPjq++xmq/aW0wiwgq+Q9e/aoO09vC6UTPNX8v61rhVMySfXU104bCa5qnu/f9j5rpR01hGLw2BldvSVRbLug?+b/AKtlyu9VM2ptEr/iPXkKi4XB5jc3BHr37RUjBYTMb2Hb9BVg63lmDAF+lehOZ+UqI3h8KAADcA86hY/EBsqOiYtHU1E2ltkAax+NamNpeYvi9joToY1ER8DWUKberDHdq4vzVKUeJKIgcrm/4VDfYmABA7cu1TWGjmCBEKjiIg3ExmiCO16zj5BgIGUmAoqkkDp89a6FoQ1eisTRNbjEWhE1gpoDlYKqAKdZQTofnApnNS0u+lAPrRFNFVJ849qTnoUcKqwukFVGehBSTUlLqlWza9ailygOUA5NJApGahK6Al7OxCU5sycwUnLYkEdxyPoaexKQQchsLwYBj053qtzUpLlCmw7BdkFJPp1kwANbCpwRBhX7+FarhsYUmRGoPPlpzqSNrqmYTqTz1Jk86wlG4NgUCDaDFWbe1wiEI1cupwHLHDGST7IEnisZJjrWn?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?+8LP/ALlvdVyz7iWR9Om8a0of3qJgczrBm2uveabXh23ZSChxJ4VJUQQUnUFMHN6G1fNf/wDWrHclNp7gOA+v95r3p/CeO20UQEupgGYOdXfUuE/OmWXZ8SJW2Z7f3y8CMI9KsI4cK5fgBDjJP/hkhSJ/gUEj7tcm3i8GcexoyjEJuc2HcSowOqF5Fz2SFe+vO+I8c9oKIJdSSNLLt/8A2a0t/wAd9oq9p4H/AMz8nK5amAhPlbwZ9dw7prxLCJRc1Uj2TTb/ADJqXvbOk43BLbJDja21DULQpB+CgKYrkmI8TsSoyQ1Po4fxdNRnfEF88m/cFj/3K5P5VLtPpqfpJ06+H17p/o4fqdkqNiMehPtLSO0yfgL1xh/fB1WoR8Ffz0yreZz7qPgr+as48KfNmmv6SajX0VBJ9spOXwSj8zrOJ3mQPZBPc2H6/GKpMdtdToAgi?+nL4dq0FO8y/uNf6Vfz1Ib3xcH2Gv8ASr+euqngo09kfI8T6SY7iCy1qjy/Zj1Y+5b/AImzcW8OSbRN5M1ZMbNMSoxFgK5+xvs6nRDP+lf89Ld37ePJr/Sr+etkqM2eGmjojmIyxB0/ZrVN5N5k3COI9eQ+dapjd4nF2OUf4QR+dVzeJI5A+s/rWUMPZ3Zc5YoaU4SpRMTdRmJ1yg6AxTyMKDqOGPjURvbKgkphMEhX2tQCNM0aE6ilHbi5BhFhEQYIHUZq32ZgX2DwmVPmAlMQAkj8BfWe1RX1KkpGXKSFm155wdQJ5CqnG7bcXqQOyZ/Mk/On2t5FhCUBLcJXnzQoqJiIJKvZ7CKxyMtyloooraYhRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQBRRRQH//Z" width="308px" alt="detector"> In general, the enter information for the leak detection task are one-dimensional pressure or acoustic signals. One detected spot truly corresponded to a soil despair close to a hydrant that was recurrently full of water to water the cattle. Two different WI anomalies had been attributed to a leak from the connection between the hydrant and the farmer’s infrastructure. Finally, a clear WI anomaly was observed at hydrant H9.18 , where the first inspection on 16 April 2020 revealed a large puddle . As the hydrant was used during the summer season irrigation campaign, the detected WI anomaly might be defined by a leak from the connections between the hydrant and the farmer’s infrastructure.

h3>For Monitoring Small Areas</h3> In basic, the failure of convolutional neural networks with a single convolution move is principally caused by the 2 kinds of misclassifications talked about above. The objective of smart buildings is for them to find a way to self-manage, be taught, predict, and adapt without the intervention or consciousness of their customers. Sensors and displays can shortly and automatically alter the room temperatures, lighting, shading, energy, and water consumption.

ul> <li>Other WI optimistic signatures originate from timber and two irrigated fields .</li> <li>Unfortunately, the setup was annoying; I had to reload and reenter all my data as a result of the app was flaky.</li> <li>Currently, nearly all of the leak detection expertise is being lined in a water distribution and pipeline community.</li> <li>However, it has no dedicated app, it must be plugged in, and it’s costlier than our other picks.</li> <li>Acoustic methods have been proven to be efficient in detecting and locating the fuel leak.</li></ul> The contrasts obtained with the SWIR-based indexes and with the so-called Optical Trapezoid Method had been lower. Spectrally optimized optical sensors had been then operated onboard a small plane and a UAV to achieve complementary performances concerning subject scale and determination. A preliminary multitemporal evaluation confirmed that the identification of the leak signature could possibly be optimized by fastidiously selecting the time of flight with respect to sun radiance history. In a quantity of sites, both artificial and pure leaks have been current.

The use of ANSYS FLUENT software program and a CFD-based technique has been carried out which specialised in researching sub-sea pipeline leakage . The simulation is completed by comprehending the interior move within the pipeline and the results of leaks. According to the simulation’s outcomes, the move price of the escaping fluid elevated as the working pressure of the pipeline rose . Additionally, it was shown that high-pressure fluid flows produce extra noise than low-pressure fluid flows . It was instructed in to use color pictures to supplement thermal imagery in order to assist picture interpretation and reduce misinterpretation errors. More current works usually mix TIR with seen imagery, but also with images obtained in other spectral bands. TIR was used simultaneously with visible and NIR (near-infrared) cameras with visible, multispectral and hyperspectral cameras , or via a multispectral sensor spanning from the visible to the thermal infrared range . Aerial remote sensing information have also been interpreted by way of a mixed evaluation with satellite imagery like Landsat TM or Google Earth . WI photographs obtained with the UAV on sixteen May 2019, over the check field containing hydrant H5.6. The WI pictures are with greyscale , the water community is overlaid in pink and Goggle Earth data fill the surrounding space. Excerpt of the WI map obtained on sixteen May 2019 with the MAV within the neighborhood of a small leak at hydrant H16.3 that was beforehand detected by the acoustic method. Krapez, J.-C.; Olioso, A. A combination of temperature, vegetation indexes and albedo, as obtained by airborne hyperspectral remote sensing, for the evaluation of soil moisture. Nellis, M.D. Application of thermal infrared imagery to canal leakage detection. Overall, the T-VI multispectral system was able to efficiently identify true occasions in roughly 50% of the events.


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Last-modified: 2023-10-04 (水) 18:36:30 (218d)