This gadget, which costs lower than half the price, does every thing the Phyn Plus does, aside from having an computerized shutoff valve. Although it is attainable to deploy the SLD system as a standalone answer, Siemens Energy often recommends using it as part of a multi-layered detection strategy. Mass-volume balance is doubtless one of the most widely used strategies, particularly for long-distance transmission strains. The methodology is predicated on the principle of mass-volume conservation, where the quantity of product within the line is measured and in contrast at multiple meters along a route. She also manages GH’s growing analysis division and the evaluation of applicants for the GH Seal and all different testing emblems. Many times, leaks can occur when a pipe gets clogged and water backs up, which is why it's necessary to know the means to unclog a shower drain and how to unclog a toilet to stop this from occurring in the first place. The major sensor pod has a loud 100dB alarm, a strobe light, and may send an alert not simply to your smartphone, however to any linked Google Home good speakers. The SLD system has undergone extensive testing at Siemens Energy’s dedicated leak take a look at loop in Houston. The first area software took place in 2021 on an offshore manufacturing platform within the Gulf of Mexico, where it was used to monitor four steel crude oil flowline risers.

ul> <li>In our testing, we found that each the pod and the cable detected water reliably; we additionally like that you can choose to make use of one or each on the same time.</li> <li>In some instances, as much as 1.5% - 4% of the volume in a line can be “lost” earlier than a leak is triggered.</li> <li>Since it's inert and non-toxic, it's a protected and dependable methodology for testing for leaks since it does not interact with substances in the system.</li> <li>In eighth IEEE International Multi-Conf on Signals Systems and Devices, Sousse, Tunisia.</li> <li>This article supplied information on leak sensors, the differing types, how they work, and their functions.</li></ul> However, this method is taken into account to be sometimes labor-intensive, skill-dependent, non-systematic, and typically imprecise because of fatigue and inexperience of newly trained workers. This paper presents the event of an AI-based water leak detection system with cloud data administration. The system can systematically gather and handle leakage sounds and generate a model utilized by a cellular utility to supply operators with guidance for pinpointing leaking pipes. A leakage sound assortment and administration system was designed and carried out. Leakage sound datasets have been collected from some multiple areas of the Metropolitan Waterworks Authority. Machine learning algorithms including Deep Neural Network , Convolutional Neural Network , and Support Vector Machine , had been developed and in contrast.

h2>D-link Dch-s1621kt Entire Residence Sensible Wi-fi Water Leak Sensor Package</h2> Unlike with some of the other units on our listing, you can’t use both sets of sensors simultaneously; the cable plugs into a wall mount, which may maintain the main detector from being submerged however prevents it from detecting water. The market analysis report offers a comprehensive evaluation of the segments of the Handheld Ultrasonic Leak Detector market. Apart from this the segmentation part accommodates controlling and driving components to describe the attainable growth of the market. The study is necessary for companies that broadly use the product because of the respective applications. A detailed clarification and provided related to the regions of application that explain what the merchandise is utilized by the companies to leverage their company portfolio.

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HPYULXM8FtHdAC3zda1ps0SDmIJ5o42CoV5uxiVvfrYPQNbsNx6Paa3pc4mtbyJZYmxg4I7EejA5BB6ggg9RVGr8o0g8LHoUpSqlxSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKVBs4OKAEjHU1pRxalhn8Z+pQyNziHaGhoAuTyA3d8zdM4z9Qj99eH45/HnuHg5uGPhVwjnsTr0EQl1nUp4lmFmXGY4IkJ5fM5SHZmBVQyKAzFinOzdviJ4z703Pe7z1rf2qLrWowR211d2MvsLywxqypGfZ+QcoDN0x+1nv1raNJ2u3mYzltYJHWPjsVtuOfDC5eA4huEkVl6Dpc2qkHPyZv53WtoUYY7ivzz2XGrirY6rb63Hv8A12a+tZI5Ybi6vpLpgY+blB84sGX32yjAqemQcDGzPCf6T3xCaBuewHEa/sN26E84W8gbT4LW6ERwCYZIRGoYdSA6kHqCRkMsyptqyfrApSvBty3nYHIPao14Gx93bf35tfTd47W1SPUNJ1i2S7tLiPIDxsMjIPVWHUFSAVIIIBBFe/WB0ilKUApSlAKUpQClKUArwd6bVsd36I+mXccXmRyxXVrJInMIbmJw8UmAQTyuoPQjIyMjNe9UCM9DUptO6IaurM0w4RaldcLOIt5wq1ayuoNL3HJNc6YIbBlmub6OJI9QsQAeSCJJM3EQj5UMRCxhlQVmbhRqK7F3nqPCye4Q6fcrJqehJDzNDbxFjz23M37f7YUE55ZT0wc2/wCKzhTd6/o43ftULDr9rNayWkqI5kN7EZI7VDyEFYpPapoJTkYSbJ6Bs+PpOtwcYuFmkby2nPDDq+keXqdjbiSa2ttLnXlEkE7zIHkeFiwkJHMSsq4UkpWkrPlLJ+JhC8XsvNevr4m0CNzrzYxU1W5sLd+m742ppm59K8wW+oQ8/JIvK8UgJWSNh/KR1ZTgkZU4JGCbjrK1szdO6FKUoSKUpQClKUApSlAKxRu7xScDdk6pNo2s75t3vLduSaOzgluRE2cFWaNSoYEHK5yMdRVmePXi1rfCHw6azrG2rxbPVNYuYdGtrhhnyvNDNIR8GMUcgB6YJBByBXITh9xC1jcGuXmk6jOrxyRebGqjARlIGFHoCCTj5UWLsWSTzO0mjeLzw461Zy3sfFbR7JIJPJkGol7Mh/gBMq83buMivvj8UvhwlPKnHDZef91rEK/0tXFndOoM8OuwO6qrxRSoCcYZWAz/AKasMakxjVjITnp9lQJKx3wh8Rnh/n/i+N+wz9u4rQf0yV61rxe4UXyJJZcTtp3CyDKNFrVswYfEYfrX59v0rKpPvk?/aagdS5upYjPrnNFcqfoltNzbbv0D2G4NNuVPYw3SOPyNfWt?/ZP9W7hP2OK/OZJqUijpOTn0B61J+k5Mj3ycfCpB+jtJY5PqOG+w5qevzhnVp4cSxzEMf2gcEVc+mcduL+hQpbaDxR3Zp0SHIS01m5hUHGOgVxioxB+hWlfnwl8QnHG75ku+Mm+Jkf6wk3BdsD6dQZOtULLjhxnsZxNY8Wt528vo0Ou3SN+IcUxB+haoAgnANfnkvuLnEy9DDUd/biuyRhvO1Sd8/i1fdw/wCIG+NFlutV0XeetaXK8sdvC1pfzRZlbu55GGSB/TTElK5+g6lcsOGHj/4jcGdS0qx4l65Punazutvce3v5uoKCRmSKdjzO4znlkJBA5cpkMOoOha3pe5dE0/cWh3sV5p2qW0V5aXETcyTQyKGR1PqCpB++pDVj7qUpQgUpSgFYZ8U/Huw4A8Kb/d7PEdXueaz0a2c/x10y9GI/kIMu3/FC5ywrL19eQWFtJdXMqRQxIZJJHYKqKBksSewA61xZ8cniPm44cSLh9Lun/g3pJex0aEFgGiyC85U4w0rAMegPKI1PVcnWlDbd3kjOpLZVkaxbz3Func2vXe49R1L2q/1GW4vbgSJ5jP78js8jDJDNySyHJXKjnHQ9KETmaGN5EKF1DFfVSR2NTc7K/mqxVgGHMD1AIIYZ+BBIPxBq9NA4XajuLR7XV7PWrFBdeaFhdXLr5blHzyg4AI7/ADHrWmTxZW6sWTykYNSSCZjlNRgtEAyWdS7Mc4wAAeg6k9OgBJx7obI/9xu6fy47bdenySyoZFXAw6j6xTldiyj44AHc4q3d4bU1TYU1pby6vHKdSjeQLbMyjEbKct8feKkfAjNJYrAhPE3R+jQ8Umo7I3C/BLiFqcX6D1e+aPS5/MBit79uUDlYHHlTk8vT3fMCMo/WyGurqPzjOMV+cHTNcvIdUOpXNzNNLPK0lxJI5Z5GZsszMSSWJJJJ6knNdlPAn4nRxp2VHs/dWo+fu3b8CmWaVwX1CzGFW4z3ZwSFkPxKt3fpWpBtbXeTCWy9lm1lKgCD2qNYGwpSlAKUpQClKUApSlAfDrelwazpN3pdw0ix3ULws0blXXmGOZWHVWHcEdQQCK092Hc/3L+MuscPNSS0TTNeefUrO1l1JVs7O+hZYb2AQynn5pbWWwlRVPIfOkIC5Cnc8/KtZvFzs?/WbSzs?+I+1Ldp9X0S4XVrKExwGNru2id2RhJgyG4hQ2/LzDHTlK5cPtT5ScH6aMaqatNbi9uFskm0t9a3tK5muZNN1xxrOk3E1oYY5JWXE0MZHujCJCwToxImbGO2YwQeorWjXdYtNf2JtzjLtctPcaEIdXtb6957e5vdPYiSaKGKP3QZl/V+8rBQ7ryoxPLsXo9/aapplrqVjMstvdwpPDIrAh0YZUgjocgg1kzSLufbSlKgsKUpQClKUApSlAaU/SzuR4bdJh6Yk3VbZyPhaXdcneGFt5e9dOulnYYS5IUdObELZB/H8q6tfS2XIXw8aHaCPLy7mikU/DltLnp?/lflXJ7hyWG49LlUjKQXDscZxkMoz9vSojmy1si6t33Ush11o4MKII1Z2PTHmjoPnirAWSTlB5xj0rIt/FBd7f3BIZ3kd2kkKknHMi5GB+NYwimLAEr0PXoOlSJI+kyvjuTURMT7uW6dTVHnI9RQSfEUKlX2g9iBUGmI6Yx9hqiXGDynr86gspz2BqbAqGVmATHzFQQuzEDpRCT1UCqsfuHt9tAV7aAv9Y/dVZnWIBY++epqkLggBVOCehNU3cZBb/zqAJJGbmPx6nNXpsyxaS10uMMuW827ZQevVwqn?/JqxJXIU1lHYdsilG5Tzw6dAqH/AJQFifzqUWhmWTxb1K6vtengcv5diESMHt1BLH+ca7UfRz7qvN1eEPY0moSiSfS4rjSy3X+LhncRD7ozGPurj9v220LcOm3Gq2ePPiuDGACMkAtnP4V1e+i8hkt/CxZxOSVXWr0J8h+r/fmm4SzubcUpSoKioEgeoqNebuDVLbRNLm1W7LiKAAtyjJ6nAH4kdT0FEm3ZZkN2V2ae/SM+I1NibH/uS6BeLHrG5IDJqTqcmDTskFD85WBX/iK+frKa5F6jfyahdyXEhz73xq7eNnFLdnGfjZurcWvXrvJqGrTpHCGPJDGj+XHGM91VVVR8gK3I8Mfgv4SazseTc3EWxbc2o3d1LCkT3VxbQWcaYHKBBIjO5bLFixHKygKCGLcWuddaLqDRPxGkJuKdsFi2+1dBWEPiSzOf?/UnvWzXhD0nbe5desdrbsvraK0ubx+fzmAjZXa6e2R89PfnyuCMZIByGNbiP4HPDJJ1/uaqnyXWdS/8AqTX2aV4NfDvol2L3R9hSWkojaJius6iRIjYyrhpyGBwOhHoD3ANenS95mqZfuVO6P/Y2/DL/AFfQ+XjxwZ2dpXD/AFe6uLt7Ge3tpJY52wzLchCYHQntKJMcg6ktgZ6kVzh43XAvdyWYSNUFrHdRhVbK8haIDH2SpcL9sZrqRqXh64b6tbxWV/puqTwW68tvHLr2oOluMY/Vq05EfT+SBVl3nga8Ot/KJbrZV2xVQin9OX3QD7ZfvJ7kkkkkk1EPeVqpPlRqPsj?/ANifwyeN0u85UAcoGQevrWU+BPFjcHC7e2lbk2/eC31DTZxLAXJ5JAejROARlHUlWGR0J6juN/P9QT4bD1Gzb4Z/4bvf/mVibxMeC3hZsXhTq?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?+fq/DrQCV8KSfe+VZY224tIb2Z+0Ftbrk9vdhBx/b41iCV+ZcE9ay/CPI0PWJAgwsT9vlAB+6pLxMU6XdyqssMkgKOruQe5blPb8a7Z/RtQeR4WtIyMF9Tvm/wC1x+6uIVkhYMT1PTK/Iso6fjXcv6O6IR+FjbjD/CXmoN/nUg/dTGxXcbK0pSoIFWLxsdYuG+pyMxAWW0JOcdPaYs1fVWZxeVX2JdhhkC5sm/C6iNaUfmR4rxKVOYz89+mx+ZxP1EP2GsXGev8Av5rrR4YJDLw1mDD6msXQ+A6xwn99ckduZHEO65upGozHOep/WmutPhaBXhlMQvRtYuCBnsPKg6fKvQveP/k/+4vCRel8xcDMfKF/00yMYDfYKYXPRRWPeNHEs8NttRXFhHFLqupyNb2ay9VjwuXmYftBQVAHqzrnpzV8R0PRKun146PQV5SdkdsISqSUY5syCHJkIOAoAwebqfjken41NnpjNc9tZ8Weq6buZrPVOKu44rtbnyp2jaZdNglBwUdVxCAD0ICFB1BIwQNtOBnFa94h2F3pO4ViTW9KVWlkiUIt1Cenmco6KwIwwA5eqkAZ5R7Hrj2O03VGjfiptSirXtfDrxzXqxrU0Vwi5KSaWdnkZTyScZ6VizxVRCTw4b+VgWzp0LDHyu4G/dWVAOg+HesW+KQc3h337zdMaah/C4irweqGlrCh?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?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?/AHR/CtKeGEbrpupSMO88SkD1CRyCtuPpg7svxn27ZD/B7Ut3+3mu7v8AqrUvh62dA1KOJGDrdsxK5zjBBH9vjVYYRb9Zl1mjw91TefdQRsxYhZJMnPUPI2O/yUfjXgtkYNffrcxa9VWJ/U28CA5z3jVv6WJrzWdcf0VYrLMAnnOB1qYluhPQ1TDKpzTzicggUIKqEk4HrRVK/E1TjkBYAjpVRpEJ5SwzQB+Y/ZUpDd?+XNVC0RUYIyPgO5qVSCQSc0BSdn5jjoBUrHJz61GVwzcoAA7VTBOO3woD6bPlN3bjOP1yf94VkfWyI9i6wC2GE0inp3PtA7fbnNY2s2AvLb0xMhz/jCsh7iYJsHUj25rlgA31us4P7qbi0cixtAdvMRQ5AacHA9cKc/wBIrvN4KoDb?+Fzh6h/a0xpP500jfvrhFtkAi1CEZM8pYEdxyR13r8IYjHhm4biI5Ubftvxx1/PNTuIZl+lKVBAqz+LWTsPUAoJPmWxwO+PPjq8KtDiuM7D1I4zjyT+EyVpS+ZHivEpU5j4H56bYcnFDWBjtq90O3T+PautHhaXPCe3lznzb64bI9cBB+6uTUSheKuuADtq959w85q62eGBWHBzRXJyZZbp+v/LMv/hr5/7yXbVC/wDYvCRek+X2GWOnbloFOSSMn0qYk9cfZUF90e8RXwrcdWZIxC5DDqB8e1FAJ+rg+opKOZMJjpUUjCDp9/zNRkLYESwwMAk5x2qx+O6GTgvvmLPQ7fvSfuiJ/dV8YQMML1HyqyOOqs3BjeqKgctotwvX5rjP9vhXdq1f42j/AFR8UTDM0V+jMnSDxWaWrHAe2vAOnc+yz4rs7GQVyK4r/RwSeV4sdCTqAyXa?/wCbT12niGEFfqee7h5nBT3k9KUqhoKUpQClKUApSlAKUpQCrM4w6Zbanw3132h7RBZ2x1BGvZClssluRMhnIZcxc0Y51LAFOYEgE1edUbyCG6tpLadA0cqlHU+qkYIqYvZkpdBEldWNBeCMdtc7V1fhhcWk88lrJeWZ02+jIuZvImOGNrKEAj5WHM0RSQksHQODnczg7rcmv8Mts6jLcC4mbTIIriQRNEDPGojlwrEke?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?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?+ytBZlt6Rbi4vYmJCxxuA7EjocE4Hz6Z/GpuIt8LjWILVGHLa2qIyj0ZstnH2MtXhrP6M2XYSOZBIWbMES8ow2B26ZJOBzHr8+vfFV5dz311LeXBzJM5dvTHyA+HwoS8FY9nRH62zAZChwf5w/rrv34SJWm8M3DN2x/tasVGPgIgB+QFcAtEkANsG7F3Uf5P8AXXfbweTLP4YOGjqcgbetU/mry/uqSHkZjpSlQQKtLiswTYGsyE4CwZP84VdtWnxUz?/ADWcY625HX7RWlL5keK8Sk+az891/lOLu4OuCdYus?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?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?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?+9tj0PTM7Sgde/uyr/55rM1YrI6YO8UxSlKksKUpQHEv6RQmXxX73jYZDXunqTn0FjbCtW7wvJLJKwxzOzHPfqTWzv0gzqfFhvAuR11O0zjucW0HT8q1gmDMombuyjsOmcVCLM+Y4+GRTqOmR8M1A+6cjH4VDPTv0qSpAyn6rDHzOakPXOSBUxIxluuKCRCMBB19etSCmQc4wB6VKwOe9Ts2enpUg7Zx2qAMAntTHTOR8hQcoGO4qpnIxgUBAt164wfnUCQwOOmPhQhMdvj3qTt69DQE3QD76N25iO/SoZ6D0x8qk5s5BoD79GlVXVXb/DNj5HlX+o12v+jEmaXwsWCNjEWtagi/Zzg/0k1xN0llVizAEJKDjPfKn?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?+yb1086HqYeJWIVW81HDZBDe66DuP1rdCcFb?+1Taen7J1Sz03ess11+kdLs9Uim0a8gkECTgsAwKlZzy46LJEPUOylTWPeJp0R0MmiQ3CWqanA9p7SUZ1j9rXlBye4jxk9TkHHxrnr0YVofDqRun5Yr6nTSWck0rfW/R4lk+Hdynix2Rlsf/AGnsev8A0qKu8cOeTr8a4LcAsQ+K/Y5J6fwnsSCf+cR13qiOUFVqZLt8jppk9KUqhoKUpQClKUApSlAKUpQCoVGlAaI+OmE6b4kuBeuBGZL39J6e55SFBDwEDm7ZPmscYPQVsxwuRL3ZGpWY5S10hLAYOeaFYwfsPl9Ps9O1a7fSDWV7r29uEdvtYSanq+3tYm1G+0+yHnXFvZTeWiXMsa+8kRkhKB2wpb3QSelZM4YcR9c0T2jS24fa3M7W4w0l5psa88c12p6C5Y4YwyYJA7Dp9bEyd7Lq8zBwtUUj7fBveO+1Nyac7Sc8Osi45XGOVXtYVwB6e9E5x8ST61sNWr/htsNz7A3lr9nujbs9ha7nkhg02aKeCeA3EDXcrxny3LKfJeM5xyZjkUHoC2zwYkA4qkcsTSmnGNmTUpSrFxUD2qNQNAcQPpB3kPiu3jECcjU7Z+i+gt4e/wB39ulayNI5Qc0nNygcuR+FbK/SGyCTxT7yZZAT+k7dMYyQRBCOn9vjWs0uM4IYEHqD3B9aIlkoU5xk/j61L7pyMgfZUVDHr169vn99QYjsQOnTpQgpmM9Wz0/OqbjByBjPaq4OAVOCD1xj4VKCAcE4JI65oCgSfXvUeUnHTOPSqxTmJBHWpWXDZAIFAU+gH76jnAz1qHrk1H06fbQEnN+VQPfGaix69ehNQPrj0oCUA5Jz0PrRhkZBGQKiMKvKV6/bUGOQcE5/CgPu0SISO7Oo5UliJ6/J/wCuu0P0WMiv4Y5kVceVuW+Q/b5cB/fXF7Q3ZGkYBSVmh6n06Sdv7fGuxv0Tk7SeHjcUDHPk7yusdOwNlZH+nNC243WpSlCoq1OKnKOHm4GLKuNPmOScAYQ9zV11ZXGmKGbhPu2OeNXj/Q92SrDIOImOCPUfEdiKtDnrivErLms?/PzvIOnGncKshRv0vIpVhgg5HTHpV0aFrJ21xdVZlPk6tbwBQWwOcRqox?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?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?+GepabPx20C+W5eGOLVEknlntpYEiXK5Z2kVQoB6ZOB0r9AUJ5kBFfn74MMU4r2EpbAEFyDg?+hVgc/nX6BIceWMCvMz5i4vyPXKbW07dXmVKUpWJsKUpQClKUApSlAKUpQClKUBiTjzoEsmm6XvK2GpG521czTBdPjt2laKaFo5CDP7iFcowbGfdK9AxIx?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?+etdOvoeNf8AK1jiPtZmyLmy0zUIwT28p543P3+an4CuYun83mXWPS0c9R6BlJP4Cugf0RepmHjzr?+nZAS72hO4HTPNHd2uPyZu1TuJ3HWylKVBAqyeNhI4R7wx3Oi3g/wCyar2qyONzKvCLd5bt+h7rPyHlmrQ5y4kPI4Q8YFKeJbdQJzzamGz27wpWxnBXg5xVuLyDiLtbRYp9O1fT5Bazi8tlYSwTpEeaOVhj3o5MEgg1rrxq5o/EtuY4wTfIfxgSujPhXu?+fgvtaMJgww6jHzc2eYNfzt2+Az9/9Hp/t3rWrqjQ1XpJNuolje2Kl0NHfqrSp6LJygk7xtj2PyLUh4ecf0e3n/Riu9oJhbNJcac7W/mkGQxFmJjJIzzJggliCOZsyW/CrjdBbSWcGmIkMsCWkkYv7HEkKQS26xt+s6gRTyr1782TkgEbQoq?+UhXGSAevr9tWdBecS4Nxzi/0a0utCguJGj9lljW4uYFbCgc7gK7rOp68oDWMgJUXCcvzPR/arTK6kowoqyvirX6lja55Fa1qLBQj3fqYcbh1x3mkMsthbFivUvcaecyczMZsE/wAfzM7ef/G5Zjz5JNU7PhRxqtgUh0q3MTRwwuj3djJHJHFC8MaOrMVdfKlkQqQQwb3g3Ss06RecUf4O3MN/oNhJuAWytDNNcxx2BlNrHkYhLysRc?+YOUogKdpB7ufP5+NLxYWztIxykEs1s0xQSIFbv5YnZRKXXrCqlArs4Ynop6/02Tcf2CXj9R+cVLWUI936mLn4X8c7iOSK4s7eeKYKskM13YyRSKryOqsjEoygzS4UjAWRlxy+7Vrb/AOD/ABTj29r+59w6bGywWU13dTi+tmPJGmWwqP2CrgKo9AAPStoNpDepe?/8A4YizX3x7OtsRyBvMlDCP9oxCIW2DJ+s8wz5ynl4+bi8FbhRvZMDLba1XGT3xZyn91Z0PazTaGmRoqNPFpNxT32yd/TQjrWrK6UIq+GX6nJzhYTDxEjkQ4ZbG7I+R5Hr9BMPSNcfCvz7cNOX+6LEuOjWlymPtDD99foHtm5oVPxFffKi?/Zp9b8j1qnn2Iq0pSsTYUpSgFKUoBSlKAUpSgFKUoCB7Vq5tyy/gb41OJu34ZpfK4h7N03dShvqR3Fsz6e6qOgPupG7dzlh161tGaw3xf2Fu9+IeyuLuybCDVb7bEOp6ZdaS8y25vbW+EHXz2OIxE9ur45WyCwABOaESxR5MdsJ/EkZhHkclnf?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?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?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?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?+detUG7HPwoD85fEOwNtfSNKcNHOBygde2P3GrNsk5bZRIpyCVOPkf9FbA+KPZX8G+I+69ItLcrHp2q3lsikY5VilIUD7u3yNYFtosGaLl?+qxIHxyM/vNRHFFpLEgTg49PzqUgYOTj7KqSKyNlTgg9MdKpN0yB1NWKlJxhSCBnuP7fdUVBxk9vsxUDzHK9qlXPVc9qWBF1OCVHb7qkIHfB+2qnvc3Xv6gjFHXBHKTmiQKJ6Zwfzp1x0wKmIx0I7UGCamwA5h36465zUx79KBcg9RUuCCfWlgQduuebA7VK2CM9T8xU7Fm6H061KCFyCe9RYHoaC5aa6bkDGOxnPU/ID+k1st9Hjt+31/wATuwbGYYWC+nvi2AfetrWWdAM/7qNa1r0hVjsdSn5HLypHaoeU8pDOC+T8cKOn21vh9E/stL/jnfa/fQ5/QWgXN1AR1CzTPFEM/bG8tSTuOttKUqpArH/iACngfv8A5u38GdTB6Zz/AHrJWQKsDj?+obgdv9SM52zqYx/0WSpWaBwo8QkSQ+ITWWRQPMltHbA/aMScx+3mBP25reHgBqurbd8Mt3uTbW1bvceq6dfXXk6dbSqpmyYSc5yzYEhbljVnbl5QpLAjSHxDjHiA1H0y1p+JAroN4SQF4DkY6HVZz+Jt/7fdXo3vL2I6sbqR2kpp2d8cJdGPcbaFJQqRbV/WRkfbW6dyy7bsNYuti3lpqF7AJp9Ie5jea3kx/E+YPc7ZbmbBAUKU525F9+33Dua4UgbMaJuYKPOvwoOe5BWM9B/KIAxnueRXt/Wk00ewz6hd69bmFpfLbSWYE87QxnzMDJAd4mABznLYIQ8v0afpdlfNpSPe7p82VY2dmdYFkKzNGPPHXClgByKx91lOMAsPjGgQo1dHVSUErt/6sMW7c5YJYY4nXpDvUdsEXNDqe4ZNSFs+2CLNjGfaTdDmRGRC/MnKSWVmdcDuVHoWZfig1/ezx25l4feXKf48/pWHkX3euMAkdeuPeIUY6selvpJt3VLOKWCy3o0N64uIXjVCYxyqoCEEkJyyrgDPNy4XJBB+i6/Q9/cXGrPom?+I5ZiJiYokjI99pRGgJ6AM5wvpk9eUMR3x0SnF8qC6Mnn/evSOZy6C5Jr3eCSq9vtyOWOW2gb2dp0jlhnbzPMRpC5WQJyx45UXm8zoehNU9fuL+92Drn6R0/2K5fRb1ZYfNWUKxt5AQGUnmAPqQO/buK8m227pVnrN5FFpeuyLPFcNJIWUQkSMFEcY6D3RcS45scoQscklq9HltRsbVRFZarbr+jLstb6gX81MpKSMMSoJyT7voV5uormq06UdmUEs1jaz/5PwLRbbOTOzfd4paNgDPtsuM9M+td7djOJNmaFIpyH021Yf8AVLXBPan6rihohJwBfy?+vyrvJw3Yvw+2y5/a0eyb8YEr9QP5Xb5Hj44zLkpSlYGwpSlAKUpQClKUApSlAKUpQClKUApSlAKUpQClKUBys+kh4czbd4qXWuxxZs9xRJfJyL0D8ojdT8Tzxsx+Tj41z+urcWt4YD9YfqyMftDJH767leNzhM3EjhYNXs7ZZrvbbvckYJY27gCXGPhyo5+SGuMm?+NAe2vpGETJ5chR8DseYnP2j91Vi7Oxd4q5Zk0BIzynLehr5GDA4PT45FfdJ5nN5bAg4yB3yPiK+Z1BH1OoHoe?/zrTIofMwKnPfpmpASCcEjPfrVVl69B29DUvKWySAMfnQAqD0xn7KBsDBFQAYjJIGaYPNgVIEmMAjpVIjr6Yqo/1cYqQDJx8aEXIhcjoKjh845jnGM1NFzAjBwPWqmAck4oSUJV6/Dp1qgxKknpjt2qtLhMAnuPSq1hBIZUnWPnOMwqT0Zs9/sXqc/EDv1oEelaWc0gh0mGNmkTM8uT7vOR6fYoAP2Z9a7H/Rj8HzsPghJvvU7Ty9T3lOJkLLhhZQ8yRd+vvMZX+BVkNc1PC9wI3Txx4h2Wz9vRiN74mW9vHQulnaoymWd8dwOgC5HM7IvMObNd3ds7e0raW3NL2todqttp2j2cNjaQr2jhiQIi/cqiqsl4Hp0pSoIFWJx4Xm4J78XPfbepj/NZKvurG45gtwZ3yo9duakP82kqVmgzhP4hlxx7vsHqfZMY+zFb/wDhEfPA6ZFHNjWLhRjr?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?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?/l3cq83y/WRL/b1rwrT6MvxG25A/g7t4gk5L6jEemenrntXXmlMRc5TaZ9Fxx1vZVa7vdlacOhPnTO2B8Pcic/nV9bd+ig3UZ0k3Lxo0uzjBy0enaKZyfkGd48fbyn7K6P0qbi5qDtP6MTw/aTILreWo7n3bMMfq7rUPZbcf8VLcIw?+9zWxOwOCvCXhZHycPeHeg6E/liJp7SyRZ3Qdg8uOd+vX3mPWr1pUEEAAOwqNKUApSlAKUpQCsd+IoE8BOIwXOTtTVsY/5nLWRKx/4g8f3CeIgK5ztXVun/RJalZoHDPxPoBx7vJGXCvDYkZHcKiqfzU1e1rePJt2ewJZrO7CCZCDhiCrZGOo6qOo69MdulWn4sIbJeP01gYiIVtrAyBpHYF5IlYkKWIUdVyq4BIJxkkn0bTY2yrF1s5tt210YkU+bI55mYgHqMkHHwrWvTVSq4yVysK89HSnTbT6VgXNq2sTaVs?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?+8wmm6PpUFtHJayRRRWEK8nOqtgAL1Gc967eeFRYk8PWxkhiVFGlqMAk9Q7ZPXr1OT99dMnenbrXgzjp87sMsUpSsDcUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAVjvxEF14C8R2TPMNpawVwM9fY5ayJXj7u0a13HtnVNvX9t7TbapZz2U0PMV8yOWNkZeYdVyGIz6Zpe2IODPi7spZvEjrkMac0kVhZOqEH3misVPL95THz9KsVNd3FpO44by21nWL5JLyBAuoXDcuowSDk/V255hgGOXEquQAEGEJAPQLjx9Hfxm4p7htt3beu9MttxWllbWd9e3t0scWqNCvLHdR+XzNFKyhfMiZQqOPcllX3qxF/wCip8Vsuc6nsq2IbnzBciIk?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?+NzSN3K5dVKUrM1FKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFQxmlKAYHwpgUpQDlGc0wPhSlAMDGKAAUpQDA+FMClKAYHwpSlQCNKUqQKUpQClKUApSlAKUpQClKUApSlAKUpQH//2Q==" width="303px" alt="features"> From propane to pure fuel, leak detection gadgets are constantly used to protect the environment and folks. Unlike leaks for residential properties, industrial leaks at refineries, metal mills, and fuel processing crops are very harmful and may have catastrophic penalties. If you realize the purpose for the stress change, you can quiet the alert before it turns off the water provide. It also displays temperature so that you could be alerted if there’s a possible for freezing. Once a day , this device will flip the water provide off briefly to verify for any change in stress, indicating tiny leaks. It integrates with Smart Water Shutoff in addition to other smart residence ecosystems, and a monthly subscription is required if you want to monitor your water usage.

h3>Safety, Privateness, And Smart Water-leak Detectors</h3> Ideally, you want the sensor to trigger one other gadget that can assist reduce injury from the leak similar to a fan or a dehumidifier, however. The greatest models we have tested instantly alert you to leaks and even shut off the water provide to your own home. Digital sense cables encompass a braid of semi-permeable inner conductors protected by a permeable insulating moulded braid.

div style="text-align:center"> <iframe width="565" height="319" src="https://www.youtube.com/embed/YRd7y_RV48g" frameborder="0" alt="Leak Detection" allowfullscreen></iframe></div> The cold trap is cooled with liquid nitrogen and is mainly a cryopump during which all the vapors and other contaminants condense. The calibration of a leak detector is to be understood as the adjustment of the show at a leak detector, to which a calibration leak is connected. A calibration leak is a leak whose leak price at a sure temperature and beneath specific stress circumstances is known precisely. Here's what you need to take into consideration when you shop for sensible leak detectors and install them in your home. With HomeKit? help, it is a sensible choice for iPhone homeowners with a house hub . HomeKit? can additionally be ideal in case you have privacy issues since you can be sure no data will be shared with third events. It responds to potential danger quickly, it has a loud onboard siren, and it integrates with different smart gadgets. During https://blogfreely.net/climbpajama89/ai-based-acoustic-leak-detection-in-water-distribution-systems -state circumstances, the flow, pressures, and so forth. in the pipeline are constant over time. The changes propagate like waves via the pipeline with the velocity of sound of the fluid. Transient circumstances occur in a pipeline for instance at start-up, if the stress at inlet or outlet adjustments , and when a batch changes, or when multiple products are in the pipeline. Gas pipelines are nearly all the time in transient situations, because gases are very compressible. Admittedly, the D-Link DCH-S1621KT has a few shortcomings, however it’s nonetheless one of the best smart leak detector at present out there. When there's a critical fuel leak, numerous methods are used to shortly decide the leak’s location, which embody area monitoring systems and handheld leak detectors. Unlike water leaks around the house, industrial fuel leaks can rapidly escalate into harmful and life threatening circumstances. https://ctxt.io/2/AABQk-XgFQ was a breeze to set up through the app and swift and constant in my testing, firing off a push notification by telephone, email, and text message each time it detected water. (You can configure the alerts.) It additionally sounds an alarm and flashes a purple LED. The system has three metallic toes to detect water, however you can mount it and attach the included wired disc sensor as a substitute. Moen also presents a 6-foot leak-sensing cable ($22) that may detect water along its whole size, and you may probably chain collectively up to three of these to cover a bigger space. The Flo by Moen shutoff valve is weatherproof for homes in warmer climates where the water line could be located outside and above floor, however it lacks a built-in battery backup (you can buy one for $250). In addition to alerts for leaks, the Flo by Moen app can also observe your water utilization by fixture so as to see the usage distinction between, say, a protracted shower and your washer’s deep fill cycle.

If the dimensions of the half is simply too giant, a further pumping system could also be required to reach low enough pressure in an inexpensive length of time. If the half is small the vacuum system included in the instrument will have the ability to reach low enough pressure to permit for mass spectrometer operation. Previous strategies for finding industrial air leaks were time consuming, required training and worst of all, usually required downtime - the very factor everybody works to keep away from. This take a look at system with the sniff probe and back-diffusion leak detector is designed easy. These kinds of leak sensors rely on the precept of optical refraction, whereby an infrared LED emits gentle that is detected by a phototransistor. The presence of fluid on the sensor adjustments the refraction of sunshine on the lens of the sensor, causing a reduction in gentle amplitude reaching the phototransistor. The Eve Water Guard only detects water, but the sensing cable worked nicely in my testing, triggering quick alerts and masking a big area. It wants an influence outlet, which additionally limits your placement options, but you never want to fret about battery life. The obvious drawbacks are the complete lack of help for Android, the fact that you need a house hub for distant alerts and management, and the comparatively high worth. Versions that can be positioned under carpeting additionally exist, albeit with slim profiles and no top adjustment function. Furthermore, as a outcome of the analysis period is clearly an indicator of leak detection lag, it's tempting to conclude that this parameter must be minimized to minimize the time to detect tDET. As an example, the value of tEVAL is mechanically minimized for rarefaction wave and different techniques that generally process solely present knowledge or cumulative information over a quick time frame . However, nearly all of leak detection installations are mass steadiness computational pipeline monitoring systems, and short tEVAL aren't optimum. This is often a scheduled process and shouldn't be thought-about a major type of leak detection. Enhanced balancing methods additionally bear in mind the change fee of the mass stock of the pipeline. Names which are used for enhanced line balancing methods are quantity balance, modified volume steadiness, and compensated mass stability. Thus correlation between most leakage signal and placement of helium spray head will permit the operator to pinpoint the leaky space. This technique requires the part to be examined to be connected to a helium leak detector. The outer surface of the half to be examined shall be located in some kind of a tent by which the helium concentration shall be raised to 100% helium. As a method of long-distance transport, pipelines have to fulfill excessive demands of safety, reliability and effectivity. Some significant leaks that do occur are caused by injury from close by excavation, however most leaks are brought on by corrosion and tools failure and incorrect operation. If a pipeline just isn't correctly maintained, it might possibly corrode, significantly at construction joints, low points where moisture collects, or places with imperfections in the pipe. A model-based method to detect and isolate non-concurrent multiple leaks in a pipeline is proposed, only utilizing strain and flow sensors placed on the pipeline ends. The strategy relies on a nonlinear modeling derived from Water?Hammer equations, and associated Extended Kalman Filters used to estimate leak coefficients.


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Last-modified: 2023-10-04 (水) 23:51:58 (217d)