As a basic rule, it’s good to put a sensor underneath every sink, washing machine, water heater and dishwasher. The Fibaro HomeKit? sensor instantly alerts your gadget if it detects a leak or freeze. You can remotely entry and control the system from your cellphone and examine the status of leaks and temperature points with voice instructions. Huang, Y.; Fipps, G.; Maas, S.J.; Fletcher, R.S. Airborne remote sensing for detection of irrigation canal leakage. In the EDIA network infrastructure near Ferreira do Alentejo, underground artificial leaks have been created at hydrants H9.7 and H16 by connecting to the prevailing pipe a plastic pipe with a gap and burying it . The MAV and UAV were flown on 12 September 2019 over this space. Figure 22a supplies a WI map of the realm that was coated by the MAV flight lines. After zooming in on hydrant H9.7 we get the illustration in Figure 22b, which could be in contrast with the WI picture obtained with the UAV system in Figure 22c. The similar for the bogus leak at hydrant H16 is offered in Figure 23. The Flo’s audible alarm beeps for 10 seconds each thirteen seconds. You can silence it within the app, which additionally offers you the choice to dam alerts for the subsequent five minutes or half-hour after the initial alarm. After all, having a basement filled with water is enough of a headache?having to stroll through it to silence beeping is an entire other level of nightmare. I first began testing smart-home units greater than 20 years in the past, again when the one smart-home units have been X10. Since 2016, I’ve lined smart-home gear for Wirecutter, and I’ve had my palms on every little thing from in-wall gentle switches, sensible bulbs, and good plugs to indoor safety cameras, smart doorbell cameras, and security methods. I’ve also written tech articles for The New York Times, Wired, and Men’s Health, among others.

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RZy9XlBopg4K8oooAfk0sua7lvutstjE484hptOkrcUEpk7hJzO4SaRirJ9GBsG+bDOnWOnxTZbQU/wCICqXEcS8NhatdK+SEpW65Yt2+4WKu0jrzoh6JLLdjacKEO2jD8ra1pBdUo?+sGyZLTU5BtB0CSorVKjPk2hJJSFAqHrJBEjvGo8aYek+1uN2C2LZJDqLFaFtFOag4llakFIzlQUAQOMV8/Oji+lWa22a0IUUqTaWitc5qQtxIeC1aqSttSgqdQSedeB8F7O4ntLCvjK1d54vS6zXdm7brLHkrJ25LTXSqVVStFI6f9KXokZUw5b7M2lp5gFy0oQAlDzI/nHCkQkPNCXOsGa0pWFYjgKWX0GLV27ej8SyrA7jawo+Mp8hV97TbTWLq3EPWqyNpWhTaustDSRC0lJBxrGoMVzR6C1ri12hB1XYkrjf8AJOtpPkXh51r8OxuLxfZfGUMRmfd5HFyvfLmTsm98uV+idtrDJRjGtFrnctD0xWJsLCh823InklTFpH6WEVzCzXWnpWtTdbh?+g+wrzcS3/nrkmzrrtPoyq5+DJfw1Jr8JfmVsYv3nyFSatD0ZGMV5IP8AVsur/wAIb/6lVghVXH6Jlnm2ur3Isik+K3WSPYhXnW92uqd3wfEy/wDjkv6vD+ZHQ1qL1OmlPDEEz2iCoDeUpKQo+BWkeIrmj06rl7NjtI3Kcsq+ZWkPNZ8uqe+tVu7d371N43YjRL/4W0v6jBR5u4BSb0lLjFouu0iJLQTaBxHUqClkc?+q6wTzrwnszm4bxLBYiXw1b+0pzpP2tc06vijJdP/ZwSLSUQsaoIWO9JxD2ivp4lU57jmO418ybysBEpyJg790a/HOvpJsnaess7C/psNL+s2k/bXZ/SvT/AHeGn51F7qH6Mhwj3+Rx1tj0u3o1bLUhNscCWLbaGm09WzhCGn3EISR1PaGFIHakmuuOje?/zbLHZ7QQEqeYQtaR6ocIhwJnPCFhQE5xFcVdNV3pTettTEqVaioJ1JU6EuABO8kr0Akk12F0H3Quz3bZWnElC0tEqQRCkY1rcShQ3KSlYSU7iCKp9u8Fg4cKwtelCEZyyvwxUW4yhd7Wuk7b7X8x9CTcmmc0+kfc6k3paMAgOpadEwEglpCVczK0KVkDmo1EbJdBMSoaZwJ8iYjxSasf0gbwS7eToSZ6tLbJI0xJTiV9VSyg80nhUSsiIr0jgEZfszD59+6h/4ojlPxMtT0V7OG7S+kEkrs+LM/QcQNwA/pOFWR6QbM2BZ+g60rzWEf5qrb0d3Ytv5VncT/ibV/lq2empnFd9oHBKFfUdbV7hXmPaNdz2qoT6yov+7L+RPB3g/mcvhUbqT2knPuyreKxUmvYisdosOYgDxAPmJrj?/AG5Yw2u1Dhan47utWR7CK6v2Rfx2ZhX0rO0r6zaT9tRa9+ieyPOrdX1xU6srUAsBMnWAlAMd5NeC9keOYfguKr?/Wb2ayrKru8Zeq8y3Ui5LQ5jFYKNXl0s9HNls1jW602pK0rbGIuLV2VLSgjCpWHPEM4qjnxAPca9m4Jxmhxag69BSyqTj4kk7pJ8m+pVnFxdmdgdH9nwWOyp3psrIPf1aJ9s1D/RxvnrrGob2rS6PzXVdeD3EuqH5pqfEdWz?/w2v0E/uqhfRPvHC9aGSf5xlDqRulpWBUcyHk?/V5V4jhMJ9c4bxCvzU6c1/VO/9smWm7Siho9J+7OrtqXAMrQwlRPFxuW1eSA151n6Ktpi3Op3Ksaz4pdYj2KVU19LC6cdmZeAksv4CeDbyYP/AORtoeNVp6Mz+G8kD6bLqP8ACF/5K73BYn672Sn1jTnF/wAm39qiQNWqnRXSdcBtdn6kfOeYxHeGw8jrVDmGsZHdUhcaIQUohJCcKMuyCBCchuGWXCt1YNOgzBBg4TBmCNQeeYyrxp4urKhCj9mEpSXrLKnf+lFq2tzlKzBQUQucYUQudcYJC5PHFM0+WRqnrpduTqbWVgQm0DrRwxjsujvmFn?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?/AL9x8y2WwNAB3Crw9DR/DesfTsT6P8dnX/kp19JLoLFkCrZY0n8HnFaLOMyxOrre82efWQc2tR8nIaiPorWrBfFlG5zr2z3fgzyx/iQmvTcfxTD8Y4FiK+HldOlO6e8WottNcmvv3V00VIwcKiT6o6n9JKy47ptY4Jac/un2XP8AJXGVmVXcPTa1N2W/lYX1/UaUv?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?/SMmvS3qRESvNtR/EHAQVnvV6qeYSCeCqsFhnr9mbxaEnqGbUUjUyhItY1kmVE66maid6MzVl9FLLdnuy2v2lYRZlpdKyRMNobKHVfjFWaAgCSUgZlUVPhtJkVb4T592Q4iY3QScojQyRv0gAZwYqR3NdgIxLJba7h1jo/FBkJR+MZHAL3aNmbpCkpcWIbH822dVkfPc4gaRv0ySO0m2yvw6A5n48u7lWlOu?/hiV4UVbNLY0bVbTGOpahtsH1U6TAEqJkqWY9ZRJqLNNzWdlsxUd5k+ZqZ7PbNyApXgPjfVWpVUC7QoSqMaLjuJThGWVWLs/seBu/jUl2YuKYASRlMkQKsC7tnsIkiSI/h7KzauIu9Tco4RRRHNnNmhuTPPT7J8RUzu7ZXijdqch3k8Nf40/XNYTlGFO/2Z6SONPDV3k6qP2eHxu31Cqlyy6aRGm7kQjWPyQMjy+2ayfsQc0BgD6J07zHHlv4mJZ/JyEZkYjzJPtnv3e+h1skwMKBPefbwjeaHLkCa5EFtGzSd47/fTVbLiQMgiTO4D3/H21Y1ou4gak57/ujjnNJjZUge+fvqPM0PuVq7suSD2EjgJz8wPjnUbvbZdJ1QnnFW844mdQZ4SfPcO6mi9WEzEgEmI0M+GRHGeVOUpEFRJlHXnswIIjEDpI7SSOfCoJfWysKiIHtroa97BhPeD5/BBqNbQ7P40kxmBpGsjT2eB86twrNGbWoqRSHXO2P1cK0mIxAkAkSCIIOesGRxBrsX0d7A7e+y9qsqinGty1MMLdnq8RKbQ2okBSg2h9wiQklOEwDArmXaq7ZaWIlQIwRvkgZd5Vi3eERVxdDl5PXfYkJU8tCGQt4hBwpBUSsmExjUSQkFQJIwp0gVZnjI04Xe9yrR4dUxE8sdElzOeelfo3td0v8AUWtvASMTbiTiZdQDBU2uBIBiUkBSZEgSJhtd5emdZzbbhs1rwjEy+w85IEpS6ldncTkSB8s41IE5pA51wypoHlVpSTVzOlBxbT5aCVCa2lkV4ERTmy0C2e4nxGYp4xisCsgmvEivLUnsq/JPuqNajzDr0/ST5irI6D+lN66nhmpyyuKH4TZ5kRoXmhol9IzygOABKvmqR3bcBQpttxtKEhxtKwUgAQtIUCIHA187eke7jZ7ba2ljApu1PZHLsKcUptWfzVtqQtJ3hQrg+C9ocP2m7/BV6GVJK6cs17tpteFWcXbXk2tixUpOlaSZ9GWXEPNgjC426gEb0LbWmRrkUqSd?+oNcV7JXELu2jas6ZwM2/A3OoafaJZSSZJIafQkk6kTvrqvoQsrjd2WFDoKVpsbIUlQIUmEDClQOYUlMApOYIiubema1pG0rak6t2y7sf5QNmUZ/9spHdlXBdiYyp4vHYCLvB0qi8m4vKpe0n7lmvqoy80dXbYWbrLNaEfTs7qPrNqT9tfPawOSB3A19HXESCDoRB7jXG9z+j1eeFIUhhBAAOJ5JzAz9RK6t/RrxfC4OliI4mrGGsGs0kr6Sva+9tL/ITEwcmrIrto11d6Jdlw2Bav6y1uL8A2y370GqjvroItdnZcfcXZcLSC4pKHHFLITqACwlMx?+NV6+jbZcF2MfjKeV/+d0D2JFbfb7jGGxfBr4aoprvYxbWutpSt9yI8PTcZ6rkSq+tj7JaHOseszD6wkIC3W0rOAEkJ7YOQKlGOZpwue6mmEBtlpthAJIbaQltAKjKiEoATJOZMZmucumW9rSbytCUP2lppoNNobQ86hsqUy04teBCwg5rwzGuPgKffR5vFwWpaHHHFh1kxjWpXbbUFCMRPzC55CuVxHYnG/sZY6eIvFU41FT8TSTSfN2Vot8iT6zHvMludrmn0tbl7dmfA1SthZ/JIcaH+J4/xqc+jUv/AMObH0HXk+bil/56X9Otz9fYl5SWloeT+acKz4NrXTb6OTZTZHEndaVR3Ftk++akr4r632NjF70qyj8tWvunb5DVHLifVf7+BAvSfsf?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?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?+UmD7I4bB4+WPpSmpScm43jk8W6tlva+q10aQd85KzNrllBrW6inlxiKb7SmujAYbwbqXXvcC7x2ctVkZzdAWEJBgrcbfTa0t8PlBCM8u1nUWt6TUn6Itu/wZabMpGJL76QlYMFC3MDeYjNJISdxGes5WaElGWpDVV0cZ2+2/JiAUkDCUEEFCk9lSFA6KSoEEHPKoApRcXxroL087oUxe+JCShNss7TspTCVugrZczAhTnYbJOahjTpImk7ruwpIO8RlzMn2AValaIik6jRJNkrjmDEkmBwAGZNXFsps2hIBPaVvPl3AD41qK7ENDLLMaePL40q2rEhASAMyN2Un29+VZNeTbOgwsUkL7pu4AZAQdKkVnu?+RPDQeOQ9mlM7d5JQM50PfPhJy8a0L2rKSAEgjXUg+0Dw8aq5WaEZp8yYWO7ykz4H3+eX8KWfgsxzyyOWk+GmpqNXdtNi?+79/Gnpi9BGvKPjT41oQrTYuxwYIJ368546fbWx61ADJI46jcNTu8O/vpmVbDuplvi?/AgHMJAnPn5+2lzg6S3F9734vQQJ38Duy+3lpUbWhxealnu0FRe+tsEplWceJJPIak7gBmaTWG/bQ7mlDdnQZHWWl1LZIAkkITiURAJgQdZFSKDIJVI8ib2WzQM1HWdYHtz+PP126wrMEg8fj3moO9eyhl+F2WTpKHAkngFqIEnWYpxuHaB05KTyxJViQctQYBzHEb6V+EjSjLZjveljPzs9PZr7JpPbrvBQY4fH206WlRUMzzyHn5zW9my9gzuGH98UyUrIZGN3Ypy2WIh5IjLEZHcSTHeCSPDlT5ftjU6A0gdnEC5lqEgrQnvBCVn8zmKcL6sI6wnIQZnQCZnwmcu8047Gu9a2VxkslYJ1HDyTlRVle0ixw+Li2vMsXpgA/wCytqxQB1YCcQHrC1oCMlH1usAjfMRnFfPlYrvb0pLTg2ZA065yzZRrifD8cvVnwiuCDW5RVoRXkjk8VK9ab/5P8T2nG7FylSe?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?/ZxJ3c9M53Z16xda0aKV3K7Q8jp4RVPDYDh9Ck6McPBQbTccqabWzae7QtXAybvGevn?+prXa7SdXnfBWH9GK0vWFxfrrcX+WtSv0iaeGH1DVAPcSPYZ99OFlt6N6VJ8JH+E/ZWlh6OBou9KEIvyio/gkUp4SvzTfzuRlq5o3Vld90wVJjQ40/kr1HgsK8xU5sqW1aETw0PkYNb3bpEpV+ae5UR5Kj21oKSeqK7g1o0QR+6KT/wAmxVivXTypvfuqKZJAiBru6tBsPKpsu7c9K0PXbVeaJokUFigVtZsdSBVioNmqtKVmTJDI3YZrc1YaeW7JFYWq0IRqc9yRmo+A95imXHDcixUONBOuu5I18uHOtxtKlZRgnQgkq0kEmMhnThY7KB3xmd588/E0CjIbKpWkJ7iZjeSqOGYSEiTAxDWlllu4Dn4fHfTs41vrFFnJ7ju3GnqyGiJdk3ivGlEagAccUqngU4AB9Y0qFrSDAkgbxp56Rzppva1NttLcTBCvxhhygmCAcjGucTwp2YbYWWZ9MHOI1nd+6ly7OFpggKSoEEbiIgiohY77bj1wEuBKRjjCCsQ32gkmFzGeRA3RnILpfS2spM5JSnFmT2BAx4OzmD60AaidKendjWarGopV1Ku1kVMrJ9dsGFIPF1oxMapUg6yBha0UvvJtLiFQrNMLbWkBRQ5ngWBIy1BEjEkrEiaQWe1Y0kEYVoOBxGeShmCJ1QtMKSeB5GmSih6YxXm3FN+yl1F612dAzl9BOcdhB6xyCMwQ2hRBG+na3Z1o2Pt3U2yzr3B5KT3OS2T4BZPhSxSuhJMdfTauWz2qyt9qLZY3BaLOkJKipCikPMqIBw40pSsfjNomEkqrj?+wWXC6lJg594MgSR5CBx766y9JtpbFrS6EktPMoxKAlSHE4kEncpvAluUgSCZzmK51tl3AWiUgBJWlaOEKGZnhMkfupKlaTm4tbbF+GEjGjCrF77ks2au4IXO4oOXDKT5Z1NtnbOJOI5ethw5HTQjM0zdWBgURlofcfP7ac7a8rDhA7QEADTlVWUrq5pRhZ2FO018MNpMmANBO/dHMndlNRRFtfczaYecBkpJSlAj?/3MJ4aDhFNdubcYeTkHLS9hSzjEttgqIUQnIDKJIEq92e0d+Jsb82lVptKEqKVBrCe3gKhDSilkNlwBOYJwwe0YBdSp53oR4jExpC20Wu0sxjZKJ3ZKjvwE4TvnT20vuTaVZOeY3gHTzzqbbIXcxabIpcKZWhWEGVFJJSlQ7CiQOzAITEEk9yG37IoQG3ZhallCxBwqSfVUkKAMZdyTkCcjTakVF2ZJh6rnHMr/Ml90WNLiAoZyNPgfbUL22u6cUD1RIGsa1YGwLgbSUnPUD27938KRXqyMZJ0UCk1UVotMt?+KV0Vfcexy4QtSFKU6fkhBgJHrrzyCRoVzlGGZIl66SVCwhstsfhOFClrS4otKeOaFJDiO0ltIwkNoITmcpJNTm4ggANrTJSMLakkpkTJ0mSSlOvClt52JDiQkoKgCkgOAOAQeB3kEpkRGRNXaNTL4ihi6PeLLt/vqVR0MWxbyCh9tJSWsTqDCkBzIJCQZwkgqyBiPyRTzs1s+lpTiWUy2TOfqhZz7M54R391S1u5D6owpRuShIA35wN8YfKne67vwZeZ4n31HWq94/IXD0Y0I9WxnsdxEJkid8bqS3mxhHDu91TVdpgRHd7j7KiW0Ctd+Wm+arTLdNPdkDvCw9aSjcvszvAVvg90eNPOx9iCMaIEAabhAzjWIzpMlPaHI/BFOtzNkpccBgLcWE8gk4cjzKSrxolJtE+HeS576XLWLZuzkR2HrIc8zkFt9k7j2teGIb64TWM6719KxGHZpAz?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?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?+iqMxhBVnuIBOokgHXcYppvB9QWHEjEpCAHQkE9YySopIAkqWkglMSfXAmYrGy3m26gYpbUrEkjek5jtdpQGeeKYzE0uRYoIIUsKDYbJhPaAIOIpUgicjoAO2vLOQ3XZhoJbSsKAUkghQkEZgg76jt5J/j91O7g6lQT/RuKhJMkpeJJ7RJOTv0sh1g4u5przbpEh1yz9smv5Qu5p8QVtjE5yjsvgcMK0Jcz+ag8RXMm0NwhtSVgQD2hn2ZJ1HDKfE99dEejteBKn7OoygoDqUHSZwOZcFBTYPcONQXaq7ghstnVp1xo8YQtQSfpSQJBnPKkxGjU+u5rcM/e050Xy1Xz/wA/iRSxM4gAcs/jL258Kl113KpQB18Pj3+dQqwrhUcFZd2omrV2WtsJ4zlr8fE1Qk7GnkutNyG2+5XC8HsKcSE4AkiezvAnIHQzyr223Gi0KC1sdoDOFFOKNAe7POJiPCx7RZgrtDeM/u4V4myDh5ZZceNEZNbDZJSVpJDfcyUspwpbQgAyE+sBIGpIgnWTE+rERSDaJal5qJhBJB3HLSpCLP4cv4+FR7acwmPiTRObtYdRpK+iNeylryHt8PZSy+sxpH2VHdkbXhUQc9/3Zcqk1+O5ciMjVZovZeiE102mRByM678t/u9tPtnSTy58e8eAz+DEEugHUA1KbstII40+MmtiGrTTVx2QkceGY0PuPxvrJYSPjdWldpGgjdn3bvZrz5Uht1sOu7d8fbUjZWhRdzbeNoG7L4nL7qid9PgznGU04Wy0ce/4NRq8HpNMLDjZCRZ8jrTlZLSSAgwEIIUANDMKJMcASKbLQvKpR0RXKbVaBIltqHHTBjJRwN8CVFIkfRCqmp0nPRFWrVjTvJ9Bp9OR/qrksbJjGu1MApPrANWd5S1J5hWBB5Lrhy0prub0m+jS9L6tyEMsttWSyNFLVofeShtx53Ap9QQ31logBLbQlkCWnCFEKFVzaPQ0vBRA/CbCExJVL5UFfRCeoAKfx8QP4tb6VtDj5PM22ctVkkVfO0nomXwxhKG7NbJMEWd8Ap5q/Ck2fL8nFWy6/RNvhYBU3ZmSdUuWkFQ7+pQ4nl2VH7aeNDZPZwqjKrc2Z2PAiR4AZmlexFwBITlmYAFWrd12JQBlJ8/sqpVrRp77luhh5VdtiOXRs7HzcI4xn91OaLvTMZnv+Ip7cz5V5Z2uFUJ4mcn09DVp4OlBXer8xEbPNb7PZopzZYreGqh7tt3ZN3tlZCezNUpUijBSV50ipVHKRt5hSgVreWBTc/bYpvtt6ADWnZrEkabY4Wm1RUevu35Gd9Nd5X7uBqtduduwiUp?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?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?+Qw679PYK03a9gXy+zPfx+O+hJXR0lJtO5cVivDLIj+G7vpe3bgd27T45VA7ovGRu3/HhFPdntnn+/4NQXylp0UyRY5z9g3Goft2/EEdw7zl9tPIt+Xf8AHxNRraO2iUgmJk?+UD3kUqeoQp2G/ZycWm?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?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?/DQIk8tIOn2zv4eFO1i2yS0JCRwlWgy11qttvH1IaWtIJwDQZ584045/dVIOvuOnNS1yZzJI8BpV6nhlNXbK9Tin1fwqN2zqvaPpWaR6zrScgMIOI5boTJ8YqKu9LbDhACxOklKgP8QAqjbHss8vRJ4eJiABqdRupUNjXeHKN88O+plhqa3K0+KYmb0gkuh0dZbcHBwkYhuy1Mcch7fN7aXKcpz48O/20wbNXF1FmZTqoIhROpIJGRJHvyGgypxZcUn1sgBAMjPQZQRA36b6z6iWayNCN0rtGNuPPUwPs4Co1fqwVQM40ned3sGcc9KeVuEnzMfb7fdSRhsQVHUknMaRlwzyGlSw0KVTUitlspW6AMyke1WZnPdE+PPOX2uyfJkajCQPMA8JJk/GdJujuw9YHHTvVhSZnsjWOUBIxRxjU0/X61CSOA/R03yIJMRoRyyr1Kl5l6jTtSF3RLeJ6pvOThj85PZX7U7/AL6tq7H9DuPv?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?+dS6M8l9k+J31Wl93E7YHC/ZSVNH12jKsKdYUNVIE5LHaTnO9R3WHaRu1FInq1Ej5MkZq4JOWLPQZHlTaNZ50paP8AH0NHiHBY908Rg7zovprKHlNbq3XbmWbfG0IB9YJEan7BqaXbK2FdoViAIbGrqt?/JtE5nmaUbHdHmGFv7sw3v/PI/RHjwqdvupSISAAMgAMgBwFbcaXORw2IxsYrJT9wcSEIhOQSIHxxquekqzKW2Y3ajeRlMeWlSy3W0kwOGfGd1QLbvbaz2YELUFubmUQpf525A39sgxoDpRXqxjG7dkVMDgq+KqqnQg5SfJK//AKXm9EUjfCy2ZzA4iO6M8ieRqG2teXfUzRdbtpPWLSppkqUWhBzBM4UEiVBIIT1h3AcICbpBsyFIaUgJBbSWXYnJMhTUjQDGp0YpklYBnKsazrSTa8K28/P0O2qyp8Cw86FOSliZrLNxd1Si94J85vaTW3Lq4QU0+7SbSG0NoQtCMaIHWgYSUgEQUgYeBkRoeOTWmz86wLEkCQJMSdB3wCdcp55wJIs5bs4641EQY1pSn1c8jOvnl5x8GtT6pzgAznAiOGhO6M5M6yZmvSqRl8GnjRPanjpJiZjdwmOPOvbts/WFXKM/Aa93uik9sVGtLrgs5B6xaiy2Ru9dYzyA3bhJGhy41LFaDHuI7BeKmVHAqNxHzTHEfbrzqTXJfodME4VASUk6jik7xnnvHtpkv+/0KSG20BDYViGWZMETnJnM5kyZzNMbz4kQYPEZH4zqaHiWoyWjJxfSgtJG7j9vnVX3zZoOXPuqQN2o6E5czSR5jFlx0NWIJRViGfiI2EU72dJDIEH5V+e8MowpjjK7SsZalEfNrO13XhEmnO4LgWsIUAVFZhptIKlK1IVAzw5KUABJgnIRik5ENiwOirZ8unIYi6ChaDkjq0yFqc07MkyDOYESSBVrWfZBpkJAK1FCMIUuCTmDnCRvAyk6DhW/op2S/BmAtYhxaAAnelPrQfxlEyRugDdTjfTm4DETumq86lmSxiRS97QO6DhPflkY5Ge7PSmFx?/slIgwDgOoA+iYIkJ0EboHzZL7bbBvUZGuHMgH86c90iPGBDt0fbDLvB4ITKGkEF50aJTI7CciC4sZAHQSTpBRNt2Q5qyLU6Mb2cTcjrtsUm0ICXg0lxIOJlJLSGXJyUC6FIEz2CgEmuPrvtkLUkfMMx+L9Ke/I8MuNdedOtvbasyLCwAlCcIUkZpCGx2W5JJKseFRJJMpzJM1xltUypp4OJGaJJEZKSclA94MeAPCtqGBbw+Z78ijDG5K2VbcydWK0yJ4H4nmKebLaZA3zIJPcOHPPLWKiN1WgKSFoMpXmOP5J3Yk6GnS7XyFR5aeM8Mu/fwrnq0DqsPV1XmSW6GEHsOYSlxOEnMwM9QR8e+D/APdumzuKESgqxIOuRk4fYYOhA76mLqdPs?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?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?+W6ny0Qwoe1+j8l50K/CkpZVKktIYVjCBlAUq0qyxH1lcIg7p9Y9gbHZCHUoWXEpwh11xxxRyjJE9WCRl8m2DEgQMqnNstqlQG0g7saskBOUgRmTwA4ZkUiXYQFYlHGv6R0AOoQNEjLdmd5NRym7aAojNa3FqGmARv9bugaefKKarSgDdnxqQW5VNliuxb7iW2xKlacABqpR3JAzJ14SYFRqLbHOyQ1bP7LuW13q28gM3HCOyhPExqowQlGqiNwBIux/q7vYTZmMiBmowVSc1OLMAFxRz0gCIAASK22OyN3cwG0QXFZrWdVLjNw?/ijRKeA35kwe87wnETmcySdTx862cDg7+JmZi8VbREN2sVjWrkMI8JKj7Tn3VSO1tglZkR2VH7vv+Iq6bWOyTvJjP27uBqudqbMMZ5pI95FdTOFqNjBo1L1rlLbIWtTAOUoUZUk8fpDgdNNfKLJum2glKgciIOZg6ZmJkA5kQd+U0yuXBhEfRy8IkHvMj4yppsdpLKwM8BOf4vMew5cB48FL43F9TvqfhgpLoi2WnAQMxPHPMDLPmN55Gm68JBnhw+zly5U3XPaJTw4AcThGQKuP2Z76klnsiSNd3MnQnl?/hzz5VSnDJI3sPPvYK25rsfSC6kYQcIjCScQABzz1AiMyNN00hXfb1oVIKnAd8KCATHzjGIxqCRMHkacPwVM6I3agTlpEyJ1076VJdQnSdNcstZzygDWh1NNifup31fsKLtshSnMZ7zkM+4H99J7SjeImQBM7zEH52IkgCDlMcaeLM0p1MtpKgMwo5AnlnJGUYvKoxbLcEkpJAUFEEaKmM8/CJJj8rOo6KzSG4mShCwwbaXx1TLiiYUEFCBwW4QEzlBgKEbwB5NPROwEJmO9R3nMnv4z79DDelO/+teS2n1Udo81q0PgiPMjUGph0fNqKRwjQxJ145eftq3WjaOplYWWabLDRbsSsKZPMiIB1JjjBgQTruSqPbzQSMIknIJHzifVSN4jEQABl3nM5WQxkkcdMiTOep07+AMCBTvdDeJ0HXqwV5aFQySNNyiDr83LQ1HhKPe1Y01zZZx9fuKEqsuSb?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?+I94/fV+SzQsVqXhlcZ7/ALuwttLSPmJS4PxVZhffiVH5wziq52qu0ZkDKJ5/E++rvUxiZSk5jqk+1Inx51WF+WWCpJzIlKss?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?+37qj2xVzBpsAfvz09sVIHVxHP8AjUlrKxBKWZ3JS0qtqFUlQqtyDNeVI9XFjaqK0sp/dSkmKcNRkmsgI+PfWJrLD7aQeZSKxNelXDKsFjmaQVGu0KpIZ+IFK1mkzqoprQ5SsYGmu8bWBXl527DOcfHOo3bLdiMT7T+4UqjcdmW7C8LZNPOzdw6LdG7ElB37wpXAcE76zuS5gmFrEqIBSnUJGoUctdCB41jft+BMgHvNauGwqiryMXGY7N4Ye4+W2+Qio3eG0M76ht639O+mpV8c6uMyyZOXpNakWmTPsqMsW+aVN2yomPJM1aqyW/i+N1R9u10qRah9s02URUyQMWmlSLRUWZtRkz4UrbttRiskiXAoKSoSFApUDoUkQQe8GK5ovqwFl1bZ1QspniAcj3EQfGr6bvAVWHTBYwHkujR1Of5aIH6JT5GsritLNTU1y/Bnpn0Y8T7nHTwsnpUjdf8AaGv?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?/9fIXAYl4avGfv6cylr7uie2BoRMeZ1nPOdaaLfdcjMeeXvynv08Ks43P6yD82Jy1GeFWm+PeKTXlc2UHPLUEbuee7cOExlFec1W6cnCW6PU6VONSKnHVNXKJvG5lNqxDIg4xywmRy3fwrp7YG39XhxJyWnNO+QDHlBHiKr?+1bOg4QQMyBqQIkARkeJ5ZnPQCf2OxhLzcf1c6neSN+mm6mTndak+HpKEx+60BwqH0Ae7NX3Ce6s79t+NByg4RB3SDO/KkNvXDg0lSSB3iCB5FVOHUBTcEVVi0madeKcSoOki4Ah9DoyDycKtM1JjtHdK08Z9WpFsyyAgHec92IHWROeQ45ADMUt2pshdYgCVNKEDf2JP6GUc99Ry47dAGc5T6wjPUASAPVGcaAcYDpFXD21JpZVeqIiT36bzpwjLcRI4SFlMkDLiR3ZxwzyHwajGzrgWqfopjQDXMbhlAOvkM6l13t/xjdu8Zkx99d12fpd3hM3OTb/L8jzvtTX7zG5OUUl83q/xQoZXIM65+fxx5VBdr2pcaR9J8KHMIQsK8itPnU2thjSoeflbbA9WzNAKjXrXglah?/dhkxxJraRz?/Jkts6dBxHxz?/hW95Mj25Dxj3itLZ3abwP4fbW1B9o+MqVvUiih3ZXSplVNjDlLGliPdXlp6sOCaVN0hbVSps0CCgCvFLrwqrErpBydjNaq0OV6pykz9oFDFPXno1MUyXpeMfx?+wGvbytesYvCo5aU4tSseAosO0RjbLZiO4DnTtshZAVYlJCko7SpEJKtEJ1zM9o7gBzpBdF2gqACSok5Akkk+4AbydBTvf8AeQaTCYARoRliX85XduHICtDCUdbmZjcQlHKj3ai98IOeZzJqrNo77mc6R7V7YZkKz5jX7vdUMtV6BfqkHlv8RrWizHQ6uXjNS+5OjW8Xm0OtWYrbcSFtr66zjElQkGFPhQkbiAaq120V3X0HmbssP9ka/RFNSuD0Oek9F15pEmyq8HrOT5JfJPgKi1sK2llDiFtLT6yFpKVDhIUAYOoOhGYq+9h+n9m1WtNlUw4yXHFNIcxpWnGMUBQhJAUU4QRizKZAEkYelpciVWRNpgBxh1CcW8tOnAUHkHChQnSFR6xpHFboLvmVdszsjbLU31jDJdRiKcQcZT2k6iHHUqynhT010bXj/wDbH++s/wC3qyPRVcm7gf8A1DvvTSHbLp4RZbS7ZzZlrLK8BWHQArIGQCgxrxpcqtqF2V1f+ylrsqOseZLaMQTi6xpXaOghtxSs?+6lV17E255CXG2CtDiQtCutZEpOYMKdCh3EA150n9MiLfZ+pSwpo9YleIuBQ7M5QEDWeNXv0Qqm77If/AEzf6Ipigm7CuTRSbnR/eAGdmVGuTjJPkl0qPcBUQvuxBXybyFAtqkoViQoGDkoGFDIzHdV17J9ODVotKLOplbRccLSXMaVJxyQkKEJICiMIInMjKJI1ek/cqTZk2kABbLiUKVvLThKcJ44XCkidJXHrGmToxlF8/Umw+Kq0KiqU5OMls07NejRW2xWz7j2IWVkKwYeswltEYpwyVqTM4TvOlP8AfGz1qYaW480UISBKsbSvWISkQhwnNRA031JPRTs/+z2h36b4b8G0JUPCXVe2p50lNh677QU9oGzKdR+NgT1qI5kpEUtOilHQStiJ1JuU223u2237s5//AJVCQCpQFPt57KW5KcYs?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?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?+7oilpRl3qB5Zc/Ch9HwPKtjbXsrJQy+OMV0+xz1rjDejHaB+PjKgWJJ3D4ml1vbk/HPSk1kXnHx8RUyehC4q423hYEichuPuqH3hflosS+sZhaSZcZVPVrGk5equMgscACFDKrGtbcidcvv?+6mS8rvCxBE5fZT/AI42I0+7ndGOwfSxZLW71RmzOlMhp45YhohpSZDit4T2TCskmDgkt5qKiEn52g4jj8fxo7afYJKu0BBBkEZEEEEEEZgg792VWP0b3+t4Bp4y83ELOriMhj?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?/uxGtOlkXke6PEfuJpLZkdk9/7j7c5763WI/fyy5V1b2OLW4sw5fdu1++skrOvhn93LLWsknd8fGhrBAOY+Pid9Rkg32ddOtkVUdsrlPNhd415kz1BD2wKUhOVImXqzNqjxpLD0YW3vpltdlJ0MeXumnK0KxcPHT303WsEfNSfyVfYaMo64iU2sbge4x7609Wd49or1xJJ9VfmI98U42OzJRBWmTvTiz?/OMQDxAnwqxSoORWxGIjTWp5YLKAMSh3SfWPAcuJ+2o/tztKEg5iTrGgAEAAcAMq82w2oCAYInTLQDgOAFUZtntPiJzrTp01BWMKrVdR3Ym2z2gKic6re8rXJrbetvKqaXFzTxiAmvU1ikVsSKaOM2019QfRx?/8nu3+wMf8tNfMOyok+IHnX0/9HhEXRdw4WFgeTaadF62GzRxv0S2govmyqSYP8ohE78Lrimlj85C1J7ia6p9LpsG6Hifmu2cjkS+2n9FRHjXJ3RkuL3ss/8A9o0PO0AD2mK619Lb/wAntHJyzf8A7LI95pkH4WLJaoReh3/5WP7S97xXN/T86Bett/4//TbrpD0Oz/4WP7S97xSPbv0cmLbaXrSq02htT68ZQlLeFJwpTAxJJ0TvpzTcVYbezZyMi2Tpl7/jurvfoOP/AIZYf7I1+iK516Zugtm7LIbQh951QdQ3hWEBMLJBPZSDIiuiegz/AMrsP9ka/QFJBNPUJPQ4cvFpPWuZD+cXuH0jS/Za7A9aGGjmHrQ00RyccSg?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?+Nb0p+PGtGLORv7J74yJ79M+VKEJ+z2/xrpZrmYEHyEloTmJ4/HOkFsaIM8adrWnLy99JVCZHjRGQSiJbGufj450Wmz5+Px7aSoMKp4bTKfjlzNSN2I0syGR6yDPKPg1G7wurRaDhWnNChxz1G8EEpIORBI31PW2tfjj99MymPj2fG6nqd9GNyuOqHnYa?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?+o7/qKX6pUHftCl5+x1E/aIic+ByJ8RXrNkUvPEUjicvZrXLjXpA2waM2P+7d/wBRSuz+khbkqCuqsRgyAW3sII5C0ipYYRp6kc+IRex1Q4gMkgElQ9ZStUmMwkaCJiTJkZRUE2z2rCAQD3neaoi8fSEtzkyiyyokkhDsknXV81EL16Qn3fWDYngFfas1ejFRVkZU6jm7snO1u1BUTnVe3neJUaabTey1ax7fvpIp80thtxU45NeA0l62vQ+eVJYXMLmRmPPyzrIUhTaiOGkV6LWeXx401xYuZEouBiSORny/fVuXJ0v3nZ2kMtWxbbTSA202GrOcKEiEpBWwpRgZdok1RNhv9aNAnSMwf1q3/wDahzgjyV+tUUqcr6EinG2pP7LeK0OJdQopcS4HkrAGIOpUFpWMokLAVpHKp1e3SreNqaWy?/alPNOABbammACAQoZoZSoEKAIKSCCBVEJ2rc+i35K/Xrc3tm6Pmt+Sv16b3U1sL3kC89keka3WNvqrPaFMthRWEBDShiV6xlxpSs4406udNN6//AHrn91Z/2Fc+jbx76LX1VftK8Vt099FryV+0pVTn/rGucC79pOki3WxvqrRaVvNlQVgKGkjEn1TLbSVZd8UqujpYvJhtDTVrWhtpIQ2gNsEJQkQBKmSowOJJqhE7bu/Rb8lfr16dunvoteSv16kUJEd0Wcl0kknMkyTxJzJ86k2x1/vWVfWsOFpeEoxhKVHCqCoQtKhnAzicqo0bePfRa?+qr9pW9vpGfHzWfqr?/aUZGKpI6F2k2ptF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width="301px" alt="techniques"> Biological strategies of leak detection consists of the utilization of canines, which are more doubtless to be used once a release has been identified however not situated due to its small dimension; or by landscapers who keep the pipeline proper of way clear. Basic water sensors warn you provided that the primary sensor detects water, but systems with multiple plug-in sensors let you widen your coverage space. Plug-in sensors assist cowl more ground and monitor extra space. Water leak detectors also assist forestall harm brought on by tree roots and speedy or excessive temperature adjustments, which can be difficult to find by yourself before it’s too late. Rather than installing moisture or circulate sensors, you’ll place the probe on the ground above where you want to examine for leaks.

h2>Leak Detection And Localization Techniques In Oil And Gas Pipeline: A Bibliometric And Systematic Evaluation</h2> The Table 2 under is a comparison summary that lists the benefits and drawbacks of both methods. The software models are still significantly more inexpensive to make the most of than the hardware-based approaches, which nevertheless have far greater detection accuracy. [newline]Effective equipment-based leak detection methods are anticipated to endure additional enchancment. A unique way to determine and treat leakage within the water distribution system by using a fuzzy-based approach has been proposed. Various uncertainties in a quantity of water distribution system parameters including roughness, nodal demands, and water reservoir levels have been considered. https://anotepad.com/notes/6jjfjb6w of membership and severity of leakage have been estimated utilizing monitored strain in various nodes and circulate in varied pipes when it comes to the index of leakage propensity . The closest leaking node or leaky pipe has been situated utilizing the degrees of leakage memberships and the ILPs .

ul> <li>They’ll use the latest leak detection know-how to locate the problem in a matter of minutes and assist determine any signs of mould or dampness.</li> <li>Butterfield, J.D.; Meruane, V.; Collins, R.P.; Meyers, G.; Beck, S.B. Prediction of leak circulate rate in plastic water distribution pipes utilizing vibro-acoustic measurements.</li> <li>It was concluded in that, although the detection accuracy was low, the amount of time saved by checking this limited number of sites somewhat than the complete canal system for leakage was tremendous.</li> <li>The answer to these problems entails extracting and deciding on more powerful features, characteristic engineering (for instance, principal component evaluation ), and extra signal processing of the uncooked alerts.</li></ul> Support Vector Machine is a type of supervised machine studying algorithm which may be used to resolve classification and regression issues. This mannequin can handle both linear and non-linear problems and is useful for a variety of functions. The primary concept of the SVM is that the algorithm generates a line or hyperplane that divides the info into classes from the nearest level with the greatest margin . The adverse pressure wave method has been widely used within the water distribution networks and oil/gas networks.

h3>Adaptive Noise Cancellation Based Mostly On Emd In Water-supply Pipeline Leak Detection</h3> The IoT has created an entry to help in the administration of such buildings. Sensible Buildings and sensible cities region unit ceaselessly transforming activities meted out by folks on each day. Smart cities will soon emerge with services corresponding to temperature management, water management, catastrophe administration, machine failure administration, and lighting services which in turn are linked to the internet/cloud services. In today’s comparability, some cities have began enforcing this kind of smart administration method by conjunction every thing concerning the community with the internet. Along with energy conservation, smart buildings aid to save cash.

div style="text-align:center"> <iframe width="562" height="317" src="https://www.youtube.com/embed/CrUm7_2dMtg" frameborder="0" alt="water leak detection" allowfullscreen></iframe></div> The D-Link Wi-Fi Water Leak Sensor and Alarm Starter Kit works slightly differently than different water leak detectors. A Master Sensor, which must be plugged into a wall, acts as a hub between wi-fi distant sensor pods and your own home Wi-Fi network. (You can join as a lot as sixteen pods.) Each pod prices $24 each, and is powered by two AAA batteries which the company says will last up to five years before needing to be replaced.

h2>Gene Expression Programming Primarily Based Mathematical Modeling For Leak Detection Of Water Distribution Networks</h2> Intelligent buildings are rising as responsive managed environments for inhabitants, firms, and society due to technological developments in regulating the interior surroundings. By utilizing computational expertise, the thought of expanded intelligent buildings has been put up to handle each sustainability and intelligence . Buildings in the future shall be referred because the pondering buildings since they are going to be constructed with the good buildings concept . Thinking buildings will allow communication and adaptation between physical and virtual types based mostly on the ambiguous data using new applied sciences, procedures, and knowledge . The graphic in Figure 1 exhibits the event of the building’s perimeter. Put one in a cabinet under a sink, beneath the supply line to a toilet, or on the base of your water heater, and the smallest drop of water will activate the sensor. Further, altering the kernel size of the first convolutional layer to one thousand with out altering the filter quantity could cause drops in efficiency as a outcome of only macroscopic features being extracted by the community. The cause supporting the use of a big kernel may be the bigger effective receptive field. According to Hanin et al. , neural networks require adequate width, whereas simply rising the depth does not assure the network’s generalization capacity. One of the issues we beloved in regards to the D-Link hub in our tests was how quickly it alerted us when it misplaced energy. Unfortunately, those same superpowers don’t lengthen to the Sensor Pods. When the add-on Sensor Pods lose energy, the app doesn’t alert you directly, which we expect is a problem. Although you probably can see that the sensor is disconnected within the app, you must be wanting on the app within the first place to note. There’s also a lengthy delay earlier than the app even notifies you?approximately 48 hours, in accordance with our testing.


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Last-modified: 2023-10-04 (水) 22:43:12 (218d)