Figure three.Illustration of Acoustic Emission Technique positioned all alongside within the monitoring pipeline . Figure 1.Building idea development throughout time based on the most cutting-edge data and expertise . Ahn, S.C.; Kim, Y.H.; Kwon, W.H. Computational complexity of fuzzy controllers and its application to a real-time loop controller. Farmer, E.; Kohlrust, R.; Myers, G.; Verduzco, G. Leak-detection software undergoes field tests. Due to their excessive diploma of dynamicity and adaptiveness, these algorithms have been proposed in the literature to identify water leaks. They permit techniques to “learn” with out being taught what to do. This section will go through a couple of machine studying algorithms which are currently being utilized in water leak detection analysis. http://b3.zcubes.com/v.aspx?mid=12593908 and turbulence fields surrounded a leak of various sizes have been studied using steady and unsteady CFD fashions. The most simple stage of a sensor is a device that detects the characteristic quantity of a measuring merchandise and converts it into a readable sign which could be proven on an instrument. Simply described, sensing technology is a system that uses sensors to gather information by detecting physical, chemical, or biological property quantities and changing them into readable signals. The varied sensor applied sciences ideas utilized in water leak detection techniques will be mentioned individually in this section. Most water leak detectors are easy to put in, typically taking less than an hour to place in place. The tracer fuel injection method is expensive and has vital maintenance wants, together with the necessity for a skilled operator to deal with the machinery. Closing branches and cutting off the suspected leak region block the alternative channels, which may disrupt the water supply service . Next, Trace Gas Technique operates by detecting various gasoline levels within the atmosphere. When a leak is determined to be valid based on set parameters, an alarm notification with leak video is generated and despatched to a monitoring station. A leak modifications the hydraulics of the pipeline, and due to this fact adjustments the strain or flow readings after a while. Local monitoring of strain or flow at only one level can due to this fact provide easy leak detection. Leak Noise Correlators are probably the most frequent technique for finding leaks, and so they have been originally commercially obtainable in the late 1970s . A comparison was made between two microphones, one on both side of the leak, involved with the pipe, to determine the leak time distance. The correlator calculated the leak location by recording the sign delay, sensor distance, and sound velocity from two similar sensors positioned alongside the pipe .

ul> <li>For instance, correlation evaluation methods are very effective when utilized to metallic pipes, however when utilized to plastic pipes, they still face challenges as a outcome of excessive attenuation of plastic pipes .</li> <li>Inspection findings at the moment are interpreted manually, but machine vision approaches are anticipated to be developed sooner or later .</li> <li>They may be programmed with little data and afterward “read” using a novel location and the tag is excited by the locator to reply on the specified frequency .</li> <li>The function was essentially to help monitor the bogus leak flow and interpret the UAV and MAV results.</li></ul> The Govee Wi-Fi Water Sensors solely detect water, however they are effective. I found alerts triggered within a couple of seconds, and there’s no method you won’t hear the siren. The app is fundamental but works nicely and displays alert historical past. Unfortunately, these sensors require a Govee Wi-Fi hub , which takes up a power outlet , and every sensor takes two AA batteries . Using a 3D turbulent circulate model of a well-proven industrial CFD system, steady-state CFD simulations of minor leaks in a pipe with a diameter of 0.1 m at practical speeds and pressures had been performed . The simulations clearly demonstrated how the leak affected the stress gradient alongside the various move routes contained in the pipe. The fluctuations in stress and stress gradient throughout the pipe had a definite signature, in accordance with the steady-state simulations. This impression was not very obvious in the stress signal for very tiny leaks (less than 1 L/min), nevertheless it was extremely apparent within the pressure gradient . For a quantity of regions surrounding the leak spot, the averaged power spectral density and FFT of the pressure fluctuations based mostly on transient Detached Eddy Simulations were displayed . An experimental setup has been created and developed to use dynamic strain transducers primarily based on the findings.

h2>Multispectral Optical Distant Sensing For Water-leak Detection</h2> It does have a loud audible alarm and dual sensors (one on the system and one on the end of the included 4-foot cable). Aside from the complicated integration, in contrast to every other leak sensor we’ve examined, the Aquo doesn’t have a devoted smartphone app. Proteus supplies a way to fake an app by bookmarking the web page to your phone’s desktop, but the outcome just isn't a fluid expertise.

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?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?+kZH0RZal90ZDwhCJKCEIQAhCEAIQhACEIQAiVZwknfp3RNHRrbz0tRp+Yl/6q1LOrR+2CCR9cAarOPPjznpzUyY050sWw7I2q85JP1FaA6Hp4K5X+zSr2eVBHJlQOeVRTsQTTGi1Jd4gNN2rk1Zbeq7svVZluTSlZlW2kJQ2knlYKAo55t1ZI3xjJEYQ1y4paYlUOvNuOVT1hbj7yjzcyiSST55jOvg6u4NaHUtvCOYT07zADoS8SM/MY75VGNzlKTuVezwzaSc2Raj+/hUZr9ZHcb4ZdJj7P3sTQB/vlM/nXFfy95DkBHL5+zHoIvBOM8o/exS5RSSZblPDBpHn?/i1OD4VKY+3HMnhf0lOwt+eH+cX/tRcxu7wQCQnf8mOdN4JT1Sn97C7F0Wv/YvaSnYUSfGP74PfaiP7FzSZW33GqQx4VF39MXTF5IHVCD+4iYXm2OiGx?+5g20EWpVws6TkHFIqYx?/fByH7FbScjP3MqgJ7/ALoL2+qLri92vxGv3sciL6aHyGs?/tBC7LFpU8LGlGMeoVb5p9X6Im/Yr6Uj+0Kx80+r9EXaN/NhWOyZP+LidN/AHaXl?/4IQuWuyyVd0OsXT6mOXHb0tUETaPwCS9NdonlWDkcpSN9hFS1/QexL6rM1dNdl6kqdnVgOFiZ7NJCAEJwnlOPZSI9nVW7BUrOck0oZClzTOCEAHrmKipF3pkJUyLjbHO24fk56gKG/wVFXq0QnqWyVwq6Vq/tWsj/L//AIRFPCfpQSCZas/ET4+xF4mb7SgYErLHbvbEcqdQQn+05Tb/ALFMWuTr5FnP2KelI27Csgf4f/8ACJk8KmlWMBitY/w//wCEXkOoWf7Tlf4ERN/NBHQSksf8SP0RFxr5Fnf2KulO34Ktf/mj7ERPCnpSRjsq3/8AnD7EXiGoJG5kZX+BER/mg5GfUZX+ATB6u473kWcHCjpP3y1aPhmfP2YfsUtJiMGUrRP+Hn7MXlGoaz?/aksB5MpicahLzj1OW/gEwuLssuOE7SIEEyVZOP+/n7MTJ4UNJUjAkawfjUFfoi9CdQVHYycv/AAAiY6gO42k5cf4gQuO8WaHCxpQkbU6r+X9MFfoiccLulYP/APGVTb/v6/0ReH7/AN7r6qx/AiIi?/nzv6uz/AAIiL3GpaD9i/pTy4+5NTUf8OXmJhwvaTj?/kaqE/4e7F3Rfr5P8AW7A8+xERF9TPUNsj/Fj9ELIalof2L2k/NzGhVH56g6PzxOjhh0nH/IE+fjUHvtRd0XxNHqhof4tP6ImF8TZGyGsf?/bH6Ii5NmWjHDJpKP7nJ1Wf74P8A2omHDHpMP7l5v/SMx9uLti+J3pyNfwYh9/M74NfvBEE2ZaYcMmkoO9pzfz1Ga/WQPDRpKD7NnzCv84TX6yLs/fvPgb9n+8iU3zUMdUfvIFi054aNKACRZj3z1Cbz/wC5HC5w1aUnI+8hxW/fPTR/2kXZcvmoAH2k/HlEdZy?+6ljZxOM+AgC2Ujw76d06eYnKRaTsjOsOJXLTTc1MKWy4D7KwFOEEg74IIPQggmMW7K4utZLFuNqduNwVKWkJsB3tGUIXlC8EpUlIIOR+kRnUm?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?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?+EiPsxzpt2mdfvdl8H/ALkn7MRzF5EOJqISQfZyM/GJslJzsQN8Z+qNvQtimKwPvdlz?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?+kScSOJKbCsg?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?+MUdNPYlSNii+NXQYg/wBNqyPI0xz9MdZzjS0HVkJqtZ2/vYuNera1OeySCCescbilJUU52irp2JUjN/UfXGxNebMquk2mrlRn7juBpKJFh+VLCFlpxLznM4shKQG2lnc92O+LKW1wc6xzNSYVU2KPSWW1JK1zE8HDjO+EtBeT8SPiI87hEaDmv1v5GzUvUHD5f0I6Pzxn77z5xtgD+OKSeXYvFZnqZk6QUNFtaWWhb7bpdTTqFIy3aFPLz8jCBnHdnHSKwjyrWaLFuUpk9W5JhP0Npj1Yqg9xCEIkgQhCAEIQgBCEIAQhEDAGC3GXKKl9YWZg/wBs0ZhY+Zbqf5MYTcaEqHNK6NOd7NdbRn9tLvfZjO7jeYCNRKHNDbtaMEZ+Dzv2owf4vGQ9ok24r+wVmUc?+HsOp?/lRoiu6mZv8AdmEidiRAkg5iXmSACT1iZKwcEbgRc7JW1Jkk4zEjgCvZ5c5GIm5kpGDtFQWVMSVNrrVw1OnJnpOiD19xhwZadWk4aQ5+Qp0thQ7080T0K2OC67ecs5UvQ3nkKqSpZp6oISCPVnXE8/YKBAIWhKkhYxsvnT8nemkJUpQztg98ehPVOdqtQmKrU5t2bm5t1b8w+6oqW66skqWonckkkk95JjrnHvJJOIgvH1J20pCRkxxqcVuAqIE5UfpiUnf4R0hp0JSAWSnlMSuKAGPGJXF5ykCJEmOrkkglYuDoC6pGsVqKB39dP/oUIu96RNxKuJB9wnmKqJTlbebZizOh7xl9WrYeHyZ0H/VVF3vSFKCuIdxW+TQaYc?+P4KM83eSKW75jgwpxSgllJLhUOUefdHeqbD0nMrTMNKQXfwoB/K//AHkR58osomWVeDiT9cevciVBUq9jOUqR9Bz/AColRuS1dnRaKgQObaO0g+zkY8I6LZzkiO0x7o+EWlDKrlWrM7jfMog82wMdoKBB6Z8I6qFcoxjzjmRze8kZ7o5g5UkpRy56xFKsHJOYl3Cc94iULJO478QByH2j/VAB59IkCt?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?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?+YMcCl8hxiJsErnIHFDbOw3EC4onPMY4u0PhEqjk5ibF0kzmK1fjRMl9XRQEdVKiM7/NECTsREMZUd1LwKsbY8THKH8dFx53OrvAiPbHGAkRBDj5HpiZ3GXDiOMzJKs46GOh256cu8Q7cjbb64EZWemmYyd1iOdExzYSPkjujxkvE9wjlQ7k4Se7xgMrPZLoznO+RHOFpIwPpjx2XwDhwk94GY7jb5xgK2gQZS8CqErv?+5Jo5JbofJ++mG/sxnNazXb3VS2upcn2Uj9+Iwh4C2wq4rymPxKfKN/vnVn+TGdWnbXb37QmsZzUmPqWP0RlqaysdqZm9CIDpEYggQhCAEIQgBCEIAQhCAEIQgDGbjollLsi3ZpI/qVVUgnw5mVH+TGv/XQCY0guuU5f+TVu/vFJX/JjYrxqy?/baWST2M9jV2j9LTo/PGvLVeXTMWDdEuvfno03jfrhpRjRTXdM8tKhr2KwVYHhF1uGfTqytUdUZa17/AJmrMUdUs66tdNbJX2gKUthawlfZN8yt1lOBsCRnMWnI/CFXjHpW/cdw2nUk1m169UqPPoSpCZqnza5d4JV1AWgg4PeMx2WjuztNNxajoZ7zfApolbUm5O1erXlKzM9MuJkCE+uinupSC0263LML7ZKlb5JRlCkjZWTFGaNcLmn?+vtm1a+bnbvCmVmYq79QM3IoZ9QnJZU06lUrLpWM9sOyWMnASXWzgjaMV5LV3VeSmpx?+T1PuyXcqjgcn1s1qZQqaXgJ5nSFgrPKAMnJwAOgjpsX/e8jJsUmSvSuy8hIzPrUrKNVF5DMu9zc3aNoCuVC+bcKAyDvmLKaW6MvKq28epnHPcC+i8xdNtmlN3dLUWqS1Ulp1iZn2FuSs?/LAdmlTraFJByh8KSCoZbODtg+M1wZaLPzVwWqBc7E9SaRSVSNcfnm/U6jPT3atpcbbS2csB1DQxzc3tKGwAUcRHdZNXHppude1UvByYZWpxp5dcmitClIKCpJK8glBKSR1BIOxMcKNWdUW6czRm9R7oRT5YNhmVRWZhLLYbUFNhKAvlHKpKSnA2KQRjEIT12IVCt/wBzMdrg?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?+yEjl2yct7FvW2tVrOl7loaueVmgWpiXcxzyz6ffaWPxhnqNiClQJBBjE/Vf0djFYqD9R01vhimyiyXPUKs2paWfJDycq5fJSSR4nEYFHLJxq6NGqblK0obHS1f4stLdWZam2fY9p1itTy3VTDr8xIpSWZdDa1PJQkFSlgoB5gcJABO+BGJup+kLUlIm?/bDCZqgufhJiXbOVyWT15f8Am8nH5Od9t4zZ4bODKZ0gvSS1Huu7pSqTkihSZGXpUu4trL7Za7VayMkBLisYGO8nAxHV4stHJrTiyJ/UjR23iH2Z0zdXYZcUppqVWkh5xMqctrTkp5gBsMqAwFY34bE0lSeHq?+6fkzzcRhcRzo4mg1taSeia8/ctXwGHkta6lZ3NUls/Myf0xnlw/tF/UukEAYb7Vf0NLjUTonqrUdJLn++CmtCYk5kBFQkUuFDU21vykdQlSScggbbjoTG2jg8uWkX7cNEu6hulySnqa7MIB99tXKUqbV4KSrmSfMRgn4j0qbsjNQbRGEIggQhCAEIQgBCEIARaviW1vRw8aR1fVRy2Jq4BTHJdoSLD6WOdTrqWwVOEK5EgqBJCVHoMb5F1Ix09IK0h3hHv3nSCEJpjm/gmpSpP1Zh7gw0uv0vGrdRSUWRpPbFEBHvVKbmKkrOPBHYDz74tBdPpH+LK6NmdTpKhNKAJRSKVLtDHQ4U6HF9TjZXWMcq5Tw06thBBSD2jRxsfAbfRFOBLigHEpWtZWACRuT34G2Nu/bGT7vQ6skFsjhmbLo3PrjqzqQoyd7arXPXWnQHFS85VH1MKwdvwXNybEDu28ottdT7SytnsVoKU4JPh3EY65/3PdHHJmalnETbJSkDmWCtaU82M56nAP0Yz8kCJ7kKJuVbm0qITjJ+HjgnruR9IjtTStYjd3KDWClagYqLTxdoC7ZBi+pL1ijTCyzMntFoLPNslwFBBwk7kZ6Z2ziPAf98753OT4xxnpETWp3SujOFvhh0aU2l1FvqUhaQpKhPzBCgdwQQ7g7d4i3LGjumklrJWrGqlHU7TV0tmpUhBmXklvdKXU5C8q9rmO5OMRkV6MaZ0i14kalo7qs1OO3VQmhNUZxuqPy?/rlOSAlTOELAKmjjHeUK/IJi7vGPwu6PaSXho1qRR6NPSNCmLuZti53jU5h1ZkpwEIVzuLV2YQUubjHvd?+0cc6UrMplkYbzehOjzBKUW+v4+uzB/2kea/o5o+3nlt47f8AfZgf7SNrf8784dnxzOU+4lEjvrTwjj?/ndnDOskuUK4F/GvTIz9ChEquktSmSbe5qaXpVpK24jsqEEq5gATNzB3zt/ZN4u1Kpb7BCG04CBhI8ozzu/wBH/wAMNv2rWa/K2rWPWaZITE4yV1+cIDjbalpJHaYO6RGBciClscx3wN/Hzj7nsbJVOa/b8nxHbBSjyr+v4O62nmSQo93WJCnBwR8I5UAcoHfBwnG/dH2s9j4mHiPPmEHPMnYxBtQUBHI+on4GOJpJGAIzyVkaY7nOFjnAMRcUeT9MSLT3GBJCADvviOaLzV0cbp5xkHHdEJTSDTrUF5dTvGgCfmGQGUKM081yp3PRtaQd89cxI44B3bCMi+DbSazNWK/cdJvJiedalJKXm5Qy02tkhRWpLmSnr1RgR872llbBtr0+57nZpWx0V53X0LIs8LugpGVWV18KnOfro7jfC/w/gY+8gn/Oc5+tjYcOC/RIDaTrg?/zu9+mJv2GeioGBKVv4/dZ2PzjOz9Jys14nhf4fj/cMf9KTn66Jf2LnD8rrYu3nVJ39dGxEcGmioH9aVz/Szv6YfsNdFx?/atc/0s6fzwzsZWa6Dwu6Aoys2InkSCVE1Sd6d/wDZotJZjklJNNNSUumXlU/1FoKUQ2g+6nKiScDbJJMbPta?+F/SWx9H73u+lytZM5R7eqM7LhdUdKS63LrUnIzuMgRqhcuCVtqhvVidJ5GUjlAxlSjgADzj6rsxOMHUqzeiS+R8j2qjKrGlh4q7k3b30L40arTVPm5afkTh+XUFo79x1B8QRkHyMX3p0xT7ppkpUFTE2zKzAK/6GfU0rmGUqSpSMEhKgoHlIOU9dsRrFrOq91XI8UuVqYkpdWQJeXdLbfL+KQnHNttlROYyj4P8AiDfq6pTRS951C3uUi15xYSgkgZVJrIAypWMoJySsYySuM/HuJUce4ypQalHq?+q9jVwDg2I4YpKtNNS6Lo/O/86F5KvV7KYnXUNUd56YYKifXJb1rBSMnd8rWeh2TvvHSouolRrj4pttTVPk2wdlutOchO2OVCSkYzj4Ep/GGefVe1FOy6rvpanJeYk0hU4lslBKBjDg6bp7z4fCLNPVWoJeYdkbpel5Zt8zXqmy0oeUCHOUZGEKB3Hn5Axtw1NYmjDEYOObpJbtP9ia16NSVLEP1T80X3maRfM80p2eutvBzlMmlDBz8FJWr/Wih63QZRE+hNamJucIClcj86twHz5ebH1COt/NbrjMkhplmUWsAgPPOcyiM7ZCe/GItrdeoVzVCsOr9fSyUoABYZSnAJJxzEZjfTweKb1skZc0Zq0WV9P02hutNfcZuXk5tlXay7zbIw2vHReOqSMpUPA7bx1HFU27ZaelbkqtPkgjlEuwrAfkn0gBZK+bDiCSCMJHsnrnpaaZnavUgpD0zOTI3JC1KVjx6dPH6YqywrfuOWqLz?/wB7U4QuXSlCgwUABZCs8ytsYT498dZ0OWs056o6QV1Z6lQaMauz?+jV3rmQ969SJpXYVSSZcGH20k4dazt2idynOOYEpJSFBSNgdErFIuOkytboVQZnpCeaD0vMsq5kOIPQg/m6ggg4IjCqSsiqzjKXKowzKNEA/h3UL2+AJi6GkF50fTeZFDXc0pO0qefT2spLNFSpV5ZAL6An5JPKFjH5fyVZ+b45Chinz6T7/AF9fX3PW4ZWeH/syd49PT/wvTcbN2KnFfc1TvqQQAgSi20uFXyuYr?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?/z4wYoGrNLbUlbeQleVZK8gKwMnB8t/hzbjOYucxJV+2q1M0S7KDNUWpS76pabkJtsodYdBwQtJ6HoR4hQO4ilbqoSJOedlAkBpwB1glIURvt18D+eNRnWmhSIlXVDKWXlZx7oySBtjAGdt/Dv93PNHAXCGFy7jQbSsHlyc?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?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?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?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?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?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?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?/HZLKg5lKcjGey78RkRon6ReVv?/UCWs7Ue0JG2JKrK7GQqTU8pbTDxB5EP84ACV7ALBACikEYPMME9UqPfFSq0tTaFRm61PoYZSwgPlClS+V++SMBQUcAkgYSO8xd7Qjgi1k1apYqV10Cbs6VQ+pkGrJKFqQkDdCRlS0n5KuXBx1jTTnCUbyMdSFSL7rM0tQfR9cOWpl6KvqrUeryEw?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?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?+UbepRQV0l5ZD7zJIQp5kkAOcqiApse2E+0MgHGWPCLw1cGvFzYybEq9Hrdo6j2xKoVPTNJrJJq8tkJE6luYS42PaIS4hKByqKSDhYjXvJVIy9VU4VqCXCTjPQ90Xj0G1jqmiOqtD1eoqZhT1vTrZqrDHSbpqxiYZJO2S2SBnvKD8mOEszViyTg9DPLWj0Sji9IKJZeity0B6tUeq1CqTM/XJH1ecqSHw0lqXMwyCEIaS1skoIUo5BRuDrj1r4aNauHypsU/VSxJ6ipmypErNjlek5lQO4bfbJbUe?/l5uYAjIEfSNKPszcu1MMrS426gLQpJ2KSMgiPKvCyrUv?+3Zy070t2n1uj1BHJMyM/LpeZdGcjKVAjIIBB6ggEbiM8ajW53Pl/ypHunBjuy0+Hf6HnsrZxsc?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?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?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?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?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?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?/kdmZyWxqHZd5ISq2rkkJ9SklXZNvDtQB1yg+0Poiou0T49I1OP3PeWndXl2bis6vUd1p9sBU7IPNNg8w6FeB9EV1cvFZqPQbwn6TTrwqEu1KO9ihoPc6MDvAWCBmK8+Nrs5S4TKUrUpJmyjtEeMO0HcMxr5ovFvqpU0paVcExucc3Iwn6+WPaVrBe9cSBVatPzCFY9gTuEk?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?+pIZdcWwJ2mVGVIKJ6nYcSl1KTuhxxbZSvmGUrSrHMMKOmlK8ci3KSWty2Uvc9JafROspmpSdS22n1lhzCu1cVmYc?+jKUgdAY4ea05yYS6/MziQ44FOfgwohJePNvnchvB8zHXftRyZcUaa?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?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" width="307px" alt="google assistant"> It can be exceedingly costly and difficult to restore the damaged construction at this time. Fortunately, automated, remote water administration methods made potential by IoT and good constructing expertise are offering facility managers with peace of mind. Next, the shortcoming to detect pipeline leaks is one downside of the CFDs method . The method does a great job of supplying an analytical model to describe the magnitude and location of the leak, but the key problem is fitting this mannequin to the information that is gathered. Therefore, this method is healthier suited to brief, straight pipelines the place a visible examination could also be rapidly carried out primarily based on the information gathered . Picture of the Le Tholonet take a look at website (spring-wheat field) where an artificial leak was introduced. To the principle pipe running east?west, a further pipe was related within the south direction. The added pipe had a 10 mm hole, 5 m south of the connection . 2D scatterplot of temperature and vegetation index as obtained during a flight on 21 April 2017. Cundill, S.L.; Meijde, M.; Hack, R.G.K. Investigation of distant sensing for potential use of dike inspection. The flights with the manned platform have been carried out at a typical altitude of 800 m which led to a spatial resolution of zero.30 m for the VNIR camera and 0.48 m for the TIR camera. The image processing (orthorectification, environment correction, and co-registration by the GeFolki? software program ) is described in . Other kinds of Multi Zoned Systems are on the market, which allow a quantity of Zones to be monitored from sensors linked in series, so one sensor cable related in a string can run through multiple zones. Other forms of Multi Zoned Systems are on the market that allows a quantity of Zones to be monitored from sensors related in series, so one sensor cable related in a string can run via a quantity of zones. The Leak Detection Panel is the system’s mind and could be provided as a physical button push or touch display screen.

h3>Eve Water Guard</h3> From the experimental results, it is proven that the fiber optic swellable polymeric sensor can detect leakage along the sewerage tunnel with excellent sensitivity, hysteresis, and long-term stability. The Raman or Brillouin scattering course of is used as the idea for the examination of scattered mild to obtain this temperature data . According to the Joule Thompson impact, fuel leaks would trigger the instant area to chill, but liquid leaks usually trigger the instant area to heat up. This process mustn't trigger false alarms if carried out appropriately, but it does require first acquiring a baseline profile of safe temperatures alongside the pipeline.

div style="text-align:center"> <iframe width="560" height="311" src="https://www.youtube.com/embed/lMftJ4BiCjo" frameborder="0" alt="water leak detection" allowfullscreen></iframe></div> This Grohe bundle includes a water controller and three sensors. If the package package is simply too expensive, you should buy the sensors separately ? this could possibly be a perfect resolution when you only need to monitor a small room. During extreme flooding, this Zircon can float and sound its alarm for as a lot as seventy two hours or until the battery is depleted. Under regular circumstances, you can expect the battery to last a few years. DIY systems use a shutoff unit, corresponding to this one from the LeakSmart? Whole House Snap Kit, to rotate an current quarter-turn water valve on and off. In 2018 alone, water harm and freezing accounted for practically 1 / 4 of all homeowners insurance losses, based on the Insurance Information Institute.

The sensors detect any water instantly, alerts come via as a notification on your phone, and the sensor flashes pink. But there’s no sound from the Water Leak Sensor 1 or the standard hub. The Water Leak Sensor 2 and 3 ($24 each) have an inbuilt sounder, and you ought to buy a SpeakerHub? ($25) or a wireless Smart Siren ($25) that goes up to 110 decibels. The simple app additionally permits you to set up custom-made alarm methods and automation . An optional battery backup is also available for $29, however the shutoff isn't weatherproof, that means it won’t work for homes the place the water line is situated outside. Smart water-leak sensors allow you to keep tabs on water that’s being wasted. These types of systems usually need to operate in-line, in an area near your water meter.


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Last-modified: 2023-10-05 (木) 04:14:19 (217d)