The three vanes have been opened for durations from 10 to 60 min through the earlier three days to simulate leaks. Mazumder, R.K.; Salman, A.M.; Li, Y.; Yu, X. Performance analysis of water distribution methods and asset management. In the quick vicinity of H16.3 , the WI image obtained with the MAV reveals a slight moisture contrast . However, this signal is quite faint and could presumably be confused with the sign originating from the modifications in vegetation sort and height commonly noticed near the hydrants. Overall, the methodology was proven to be helpful for leak detection and the wavelengths were determined for the selection of the multispectral cameras to be used in operational leak detection. Mashford, J.; De Silva, D.; Burn, S.; Marney, D. Leak detection in simulated water pipe networks utilizing SVM. If your meter dial remains to be shifting, then you would possibly have a leak within your boundary. If https://anotepad.com/notes/itmy5eww turn again in your inner stopcock and the meter begins to maneuver this implies that the leaks is within your property. If the meter doesn't transfer it means that the leak is not related to any of your pipework and perhaps an exterior supply or waste pipe. Acoustic testing to detect any leaks inside your pipe system. Our specialists will be able to detect and cope with the reason for a leak, without inflicting damage to your property. We’re an award-winning leak detection company with over 60 years of expertise and experience, and offices all throughout the UK. Today, a big selection of methods and applied sciences are used for leak detection. Figure 6.The architecture and layer configuration for the reference PCNN model. Hyperparameters within the feature engineering and extraction phases have been optimized based mostly on the reference models in Figure 5a and Figure 5b, respectively. The black triangles indicate the path of the convolution circulate. Xu, T.; Zeng, Z.; Huang, X.; Li, J.; Feng, H. Pipeline leak detection primarily based on variational mode decomposition and help vector machine utilizing an interior spherical detector. On the other sides, the KNN algorithm also has been integrated with the binary relevance approach and the strain data has been analyzed in order to establish and discover leaks in real-time. To present https://etextpad.com/ for every label, this modification of KNN performed a single search of the k’s nearest neighbors . This approach proves a greater end result and speeds up response time when compared to a single KNN algorithm. Next, the leak detection efficiency of KNN, random forest, and Bayesian community methods have been evaluated by utilizing the circulate information gathered from a pipeline community.

div style="text-align:center"> <iframe width="561" height="319" src="https://www.youtube.com/embed/juRPfp6WzVE" frameborder="0" alt="water leak detection" allowfullscreen></iframe></div> If you choose a standalone sensor, ensure it helps IFTTT or is appropriate with a house automation platform such as HomeKit? or SmartThings?. With IFTTT, you can create applets that allow the sensor to set off different compatible gadgets corresponding to smart plugs and thermostats. Most home automation methods let you create automations or scenes to configure connected devices to work with each other. If you're not able to commit to a water-shutoff system, the Flo by Moen Smart Water Detector is an effective place to start out. This gadget senses leaks, temperature, and humidity, and might emit an 85-decibel alarm when it detects water. It also connects to the Flo by Moen app, where you can link it with Alexa, Google Assistant, and different good residence systems. In this paper, 13 cepstral coefficients have been used as the unique MFCCs’ features. MFCCs mirror primarily the static characteristics of the acoustic signal. However, the human ear is extra sensitive to the dynamic characteristics of acoustic indicators . The first- and second-order derivatives of MFCCs’ features could be utilized to explain the dynamic traits. WI obtained with the UAV on 16 May 2019 within the check area containing hydrant H10. The elementary benefits of SVM are that they offer a super classification resolution by maximizing the margin of the decision boundary and eliminating the dimensionality concern and no explicit statistical model is required . The state of the art in the meanwhile shows that a quantity of approaches, including hardware and software solutions, are put forth for leak detection. Hardware methods, which contain investing in hardware industrial devices and units, significantly for finding leaks may be thought of a demanding method used in the industry. Scalability, set up and upkeep bills and significant power consumption are these technologies’ key drawbacks. While software-based strategies depend on the evaluation of hydraulic information and make use of both typical and complex techniques using image processing and machine studying algorithms. The spectral indexes and constituent spectral bands which are considered herein are reported in Figure 3. The goal was to match the performances of a number of multiwavelength methods in detecting areas of irregular moisture which could possibly be related to water leaks. The use of two hyperspectral cameras allowed us to explore totally different wavelength combos from the seen to 2.5 ?m, both on a standalone foundation or presumably joint to the thermal infrared signal.

h2>How Do I Know If I've Received A Leak?</h2> Instead of the traditional “true or false” Boolean logic on which the contemporary laptop was constructed, fuzzy logic bases computation on “degrees of truth”. The fact value of variables in fuzzy logic, a sort of many-valued logic, may be any real integer between zero and 1. It can deal with the idea of partial truth where the true value might range from completely true to false. In distinction, solely the integer values zero or 1 had been permitted as the reality values of variables in Boolean logic . There was a examine that combined leak detection and Closed-Circuit Television inspection Sensor head technology for pinpointing leak places . Feature papers characterize probably the most advanced research with vital potential for prime impact within the area.

ul> <li>You’re in search of consultants that may give you the reassurance that the leaking pipe shall be found and glued as shortly as attainable, with minimal disruption and value to you.</li> <li>With HomeKit? help, it is a good choice for iPhone homeowners with a house hub .</li> <li>Adapting and enhancing present picture reasoning and pc imaginative and prescient algorithms for water leak detection techniques will require additional research sooner or later.</li> <li>Whaley, R.S.; Van Reet, J.; Nicholas, R.E. A tutorial on computer based mostly leak detection methods.</li></ul> In the sphere of leak detection, there might be additionally some evidence that reveals deep representations and handcrafted options have some complementarity . However, the overwhelming majority of current analysis in computerized leak detection in WDS focused on the optimization of CNN constructions and their utility to specific situations. To some extent, utilizing CNN on to extract features from uncooked signals discards the prior knowledge about leakage derived from conventional signal evaluation strategies. It may be inferred that deciding on acceptable handcrafted options and mixing them with deep representations may be a better strategy for leak detection in WDS. To handle this issue, a pseudo-siamese convolutional neural network mannequin for characteristic fusion is utilized on this research. Every time, Polygon ensures a quick decision that’s both cost-effective and can cause minimal disruption. In the previous, the detection of water leaks would have concerned walls, flooring and different pipes being broken to find the supply of the problem. Nowadays, Polygon can utilise environment friendly equipment that protects your assets and offers harm limitation.

h3>Greatest For Monitoring Water Use</h3> Most probably the soil nonetheless contained quite lots of water on the day of the flight, lowering the difference between soil moisture induced by leaks and soil moisture within the surroundings. Indeed, in some check fields, water puddles have been noticed as remnants of the latest rain. Innovation is key for dealing with future water challenges in fields like water management, land use and agriculture since water has become increasingly scarce and fewer predictable . The hub connects to your router, ideally by way of the Ethernet cable offered, and should be plugged in to an outlet. The starter kit we're linking right here contains the hub and four Water Leak Sensor 1 units. With a set of options very related to our prime pick, the Phyn Smart Water Sensor proved reliable, alerting me to water rapidly with piercing beeps, a text message, and a push notification. Unfortunately, the setup was annoying; I had to reload and reenter all my data because the app was flaky. This rain event together with the long delay between the flights in September 2019 and the in-situ statement made it so that the actual soil occupation and soil moisture were completely different. In addition, because of the latest rainfall, water accumulation was discovered close to numerous hydrants due to their low position, therefore precluding any unambiguous assessment. Another field go to was made on 25 June 2020 during a period of heat and dry weather. Table 1.Summary of the previous evaluation work on water leak detection strategies. False alarms all the time occur when environmental noise has comparable time and frequency traits to leak alerts . The answer to these issues includes extracting and selecting more highly effective options, feature engineering (for example, principal element analysis ), and additional signal processing of the uncooked alerts. According to the definition of good buildings, the buildings must be controlled by users and monitored to maximise energy utilization, consolation, and carbon emissions .

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prcsMtQlPPJE19TXQNsWN7ncAgdBviyMszGiTh?/M6aDRUGjXnojxhkk38V+t9h1xhZOGFpv8AZdgrVFV8LRVOQywSvUxmoBIuyAoquPGNJHrg40tXQVTQxw09NFmwZleBbRhV2207A9Ce++CeY8MVXEVfFm?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?+DIBmjBqtrG9gAcZhOtN6uX0YjGY2cfLitCIEfSF1ggC9rX3GETVzWaOBQQDe9r3x7LG0iabgHvjenijj0qxNr+Igb274SAd00AqLLCqcyx2drA2BNx6+mF6WhmE34upUF9JBsCfT0xpRUsVOizTO+g30g9SQLm2Fv3jGzhhqVLEKCdxgONbWhzG8iIxLMSfCDfcef64XoK6dG0a2ZL99wAeuBzVaygjmXJJNh54XygmrligikRXsQwba47W9cRtJr3CeTC4WwsM1eJzFCLX6kna2HFPT0skiQ5k80RaxidTdb?+uGj0DRTiIoOZImtDe2xw9oq6nnpHyqrAZkFlcL0N8LViTXKCo3rI6illdp0LIN+YLWOCfDxD5jBLBVGN2UaydtRI3BPlgFl1TVASwxyI+rwOsguLdjv3w9ppXpakIFF9je+x/timpcvTOE5o6eTLquonppBNFYOwY3sfLft/viQcOLUUiivpVC1ckgHLtuLm3h89ifpgIKCkqqOKrp2lWbSGdhJdXXa4t6HfEk4HNI9UaOpJkVQxhcDd5Ea4Xfta5+mKa90NJl05FK9q7jzMc8noK2RKSTlTNpdgFsEkS9gT3uNtsGRmtCcsps0qzUQ1tTbmyFtkfwq?+onqCw127axhrmWTZVnueJUapBEoDyrEdX4ZIJK/6l3GCfE60NDlSRUtK88XwVKuvj0keGT08jb08sK1SpKV5I3kd+R+k9ezZfT0kqzlpSkszHdEZXAIPTb8I/9tsO+KtBmraOoojIvJMbujHwknUwI8rl/ocQTKK+rijeKIBKeXQyA7uCDcqfUFbfQ+eDXEOfnI6oHMswk52a02qliSSzuLBdFz3JDWv32xx463rRBPRUPH+W0tHxDRLRxyxIIBIqsAyoL7gEbncN18vLDKrgjjpYzTfjGSysqpc7WJ+nUYRz/iaLM5mpoIARHIeVM4IYLuTcdLn?+mNsuqpYnSO6lJFIJG5FxsR9cbuKaUSn9HBjQ1c9PUsAxjVWGkuviAB6H88WFwtVzvVU1NVFI4b6tbbL1N7ed8V/WhFrxCztMgOtpT/GTvuO2LL4WyairYoa?+pmqeeQFihC3Cf6h5je+Kuq1x7gWfndVTZTwBmdbFVSQV1dTnkuu9wL7gfkRijMqgqc0ijklcIi7m+1/kMWzxpw3JmXClG+X82X93QyJJpjLMNr3t0INj8sU/ktZLS1qUrxfjI+go3Yjr9cK9A9YqcvvsvzLsmiTJUU0lTHDQJGBT+FnsSx?/7Ri1+BqKeKjqcynmV5YabV31ab9VXzAxWlPQQQVcrQIHneLmBPhsN+pHcnE79n2Zp7zCxm0zurKy2soFrEG+Keqeo2iGL5oYVnBU+drU5xHPUvJUFyItAjZGtsfM/bFPVyVVPOQ88wZGKt4zs3li7OMPatlnDWYRU1TMk7qgLwxNqY2PRiPl0xStRn0XE9ZWZjFTpT82oZxEh2UX2w/0WTqbnll3rS0OdJON04pbDOTwFZI/fKmZY5Ngb3t88WRlzT5bQ8uiAs48Uh64guR1KvBplhjdz4fGwxJ6HNlijFBJfYk6b327AYuzuqjybXTziw99aZbXsb?/ad4k9i3EOX5XJTrNwzmdSPfQy7hzYFg3YhbG3fH0ty3MKXNcvp8zopVkp6qJZY3U3DKwuDj5E5zVwZbwBm0lXFGwkKhLgErJcWIv33xOPYP+3rxh7NcppeE87y9c8yylGmPmORJEg/hB8hi3DLyRyldjP6ypWVvfk+mmbyxrRNzXRXYhAD3Or/AM44P/bm9sP79znLfZHw/Kzx0UAzTOgG2HLjMixH5Lcn1YeWLToP26PZJxTlUjuZ6HMIUM8NNUr4ZJlBITWNhc2F/XHHElNmWbU3GntA4iqqeqzzOxUG0cyuQsl9lAN+/wBrY7U1K20U4+OR62GYuCaRIOBc2yyjEMmWQha1tR/GGzKQPMEm/mLYT9s9ar0+VUEjHTJm9LMwsT4QswP/AN2J/RRo1BGGqKcLTIiLFzPxbMDYhfLwHfFa?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?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?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?+/TEq9r8sMueVKpsyyRpY/IH+uGHA1Ijca5DHrHhlMjbXFx6YZxuJw6a/9ohkTeTR0o/KhRjGy6QLkL4UBPnfrbFfe1+qkPDKUEbqySSrr0iwuu/1xPZTTQJYkOz2tzGuSPlisvbRVyrRZfSobrzGYkDTvbpb5Yz8S3aG8y4wyGcBUIr66Yqt9FlO2D3tSEdDwxRUKizS1Bkb1sMeeyKi5oq6hlteS30GGntoqV96oaJTtGrN98PmcRnhEoGAeQqeYT4eoFhi06NYSpWlonvZZC8lul+ovvivODEdUicRqLqRfufEcWJSVaM6CWURK9w6kqLrvsO+E8792h3AtQO+IJ54MgqpveAqywOtkXrcW3J3xRmZlI6afrqKkdb2J2xbvHtWYOHJ4qcvqmdVsyG6pvsCet/TFNZ5O0WVSXQBrqqkj1xb069uyOeu3EFUhCCaQtY6Ao+ZYf2OMw2y42oZ2O5eRFF/IBj/UYzF4oCaJHSpQzeNTcA3vvheaES1XNKsN7AkfTGgIgk50T3TcnVvhaCoildp3chLi9ul/8GABWNGmhWnBcSHoDsLYby8+FzC407C5B6+WJJTUtDVUzMSNQsy3NlQ9Cb+dh0wzq8nqJIg6EEN8PqR2xHmt6KvWnemN8qkBkkEkmoFepHkL2xI8kNNIZIZJOWrKCG7AXtf6EjEJjneOS0RBJ2PpgxQVMkjiIrpV0IJbb1Bv8xjlzznRHJh5Pa8kg4iiznKVNNPfmIjRc1RdJovX5A/niOU1POsZklU6W6OPPriS8T5xT5hR5S8WaFpVh5FTGRvHItgp9QR39MDoGipqdZ5AxQyAHrbT3xCaUQmyeOHM6Y+yt2rKT92yoWaOUPBdugPxC5xNMinFFK0yxvDI0FiPhD72viFNNS1qomW078xQzEAXuo7jEo4bp4MxRWpTIxj/APpM3iN+9j2whnrabEq7N6JlmGd1dEaU0ca+OIoyqrA9Nxe1r3tjeKPNszqGkrhJBohQxROpjumq9vQ3N74NQU8c0H7olljiLWQieO7pJa6+LsLd?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?+u2LFoYFRWSOnOoqGBa1tvvbEE4SjnQBvDcnT8PQDvicwFFjid8y5ZlOkg6AAtr+WEMvzZoY1qURv2kyvDlNGalgnOfUoDltgPy64qfiSoWSiVVm1nmC/wBjiyvaPPFWyU0LPzkg1EEP1F7dtu2Kr4lWOPkJECA2okE38sM4PgU5+Wv4G9KAuXIO7Su30soH9cZjaNbUlMq7koWIHmWP9LYzFwqCGEqTyRPYR9Nu3Yj9ceSOFDU6XVNV1a1x0tjdSZmBDai3e/XGtt74ADFHJejs8oAazLc7Wvb++D1CVq0qqVZlQwxtPGSdwdOrb7Db1OInHPFNS+6XCyCxDagFFtRIN+gO32w3pq+pZ5tLMpYAXB322IxGlyWih4E3vZvJSzU8rEjS0ZsxFsPqOpAnjkRWYRrpIPS2HWWLFLPGMxvaQ6dt7ntf0whmFOuWV0sBmZotRVbDcL1Hf1GJeS8KU9HSV6SGnpQ1VEgkIbo?+/TCTe81VAtQeWI2u2gMLx2PcdR9cC6fMVop4p6dnvGwbr1wvSTGplkUWAlci1ugPy7+uIKeKOPwSnhBmp65JlBjMikDeykdwL9MTigyaVZpq+CeEaW5qnmbkHqQevocR7g1Y6SaBaxdbQyh0VrOxBFrd/wA9sWNnnDtHltGgpoOTK5BaUSWCq29rdt9rXsLjGR1Nd9/szn5PFMooIGkdJI2lAPKmtJH10uAT4kt2wXzbiWXJ6KgrKSqWWSRHimk5dnXsNYU2J8iN8JcOZGrZdBUZrHGyUupGlMP4kaMbhhbyPqQAfnhtnaVCE0kMlNR6mkMM2kIkyWv4iBcG29yLYUS2zgVyDitaPLpKbUqRmUyTirhFgx?/i1AmwuT5dT2xFKLJ6+TiWuqs?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?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?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?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?+WGTPS2yz+HqtJgYlqBEBHpIYtt9hbEjnpZ57Tx5fTyxvEUjZliL3A6gE3tuO2I9k2XwR0Uc00RgkIJlfxKAPS/h+4OJAJZI6FK+HMNKo+hQ8KuT9VK22GM6mnTaNIrDOKkCvnCxxizm?/4Qvfy6YgNQ7VWblmt+JUAfDbbVbp8sSvMVLz1FQ0uhndmb+Xr+mIbTMRWI4Hwln+VlJ/ph7H2lCnUN7SDOQNzKqaZlZ7sfhDX/ACxmPOHKd5AzAX1HayaiP/Y2MxMXI9TQuo0EgsTtvjeZHUaOUjN1OprafscOK/L6uglaCaLQ6rfcggkdQCNjvf7YYPHVRo1YILR6gpbr8v0/LAA3lhkjc6goA2sPP64d0hihicyXV5LKovv9uwwnTASB2kRTc9SMO6eNQDHEsa3G+12bfpf5/pgAdZZIplCTsI0t4jvt9sFqDh?/MKoyNGsbU7HZnYlT239eh3wPy6jasrFhjEUShiNTkAb?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?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?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?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?/1xYsUp7K23T2x9JWtWUzzPTLM8wkbmlbLrv1IC+W4NvLHHvtcqxX+0DNqlamonAlWMuxt4lRQ2xJsLg23O2OxeIzl?/DeWHimranFHl0ReqhmHiFviO1jvt3v2xw1xRm4zXiDM8ypU0QVdZNNEAOiM5KgfIEDGn+Pn3uhXqH4QPPPlkSBYbu7BVuASSTtbH0d/Zv8AZw/se9n0EGZRUgzbM1FXU1EbEyqGAIjY22CjsD1JxxH7BfZt?/wDEjjeGCtq/d8ty0CrrZdVmCKRYLfuTYY7Zzji5aKGOiyyplzAbK80pX8KMCw02FmI9bYl1+XbUIjgn/Uyo/wBtUDOuH6HM4ZJZVoKohzrUgBxbpa?/Xzxx/TzOgOxK9z5Y7k9pM+SU/s0zrMqiijq2zCMUqz1SAOrvcX0drW6nHDEcqKjRuD4trjE+iyqY4shm+Y+BBFxjMMklaE7EOpw6SVJB4T9MaCe?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?+X5s1NUTRqrD3GRZy1/MrtiT8DcNV3EMcC5pmlZk+U1UjGI0rAMzjoJWuCi274reOd8tFSxvel8WB4WzubPIUoqaauakqQwRvEkRuSqlxuN/XE44fySp4g4vhnzgz1+b1LclPgSGN7brp/j9LdTa?+Lq4ZrOH+DeF8o4fpKGCppoqsGU0MS6Zx/PITct5E3x5xFQcKzV8OY1PDlNDLDdtFNIFZG67AGw7G4wvky81pHVgeN7THNDw1X01PLlk1PXQ5nSvHJNA8QXkrbbSQC3bft5YD1sU/DuXR0M5earlllleql1qramuF1dgBpJDDByn4j508uYSZ3NIyqC6SEGQqeine7EjzFsQ3OeJq?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?+n4YBnzaklqaZouWIoZjGEj3NwTe?/bGizwVS0ud1U9TQSTI09MEXmIIgbAsexO22IPJDxHKVy7Iqx82pllucuqnBdFXqok6geQPXG2YccUMmWvltXRV2WVEhjhMcw0qF1eJhJ027Xx2cSb2kDpT5JYcySpzGply?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?+Wx+uJ3kkIoKeSunS+34e9rt5YgHsRnh434Gir62jkSpyuoELTtJZGIW5+dwRtiZ5mEzTkpluaTUnu0utNIH4lv5geq+mKM9+mnP2Szay5FafbRQ/wC0xNNUVWUzSSSPrMpYsDYNtsMUcES99Iv52x0l7fMijreE+dPVxz5hls3P5moDXEdm2HTr0xzdh38c0sS33EMs8aaHSGoVNcbh1A+2PbR1Quh0yd8IxGWKzqLq3bCUrtHJz4QVYDxL2xtVXFbKzcyPSvpZtN9rHocEIgixqiEWAwOkqlqlVrDb9cbQFA4DatzbbHZaa2mA/kcRoXIvbDbmmoNgqrp6MT0xvUJEEI1aTbpfrhmDYgkXt2xIBWpCqQuvW3UnHTfGtTHmzcGZBXRwy0tPw/RyRpKgKiWQEEG/eyLjnrg7h2TjHizK+G4Xjg9+qFjZybBUG7n56QbeuOj?/AG3ZTTy8X5ZBl1qeQZdTKgh6KEmcC1/IG2Mzra1sY6aeWRIcTex72eVeXieTIIVdgrlkLA72v3+eJdw1ldFknDVJk9FCI4aMOiaiSQC5P9cR7IuIcy?/dEOX5lRgVdLI1NKb38SmxB+oOJxw5nmb0mTGKmenihri5lEiox62sLgkdMK4bqq03sd62InGml9gPMJ1js7I3XruAcJz5tTSw6RrW1iFsTY4NVM2sBTS0bdNgb4ZxmaF5XXKYHVr2OxthoygdTZsiIb1LjULEFdjg1l08FZStluZMZ6CpGh9Q3Q/PzwLrPejtFl6xN5hfywhS5nmcTmGpobxvsbbXHzwAU97SfY1xZl+eVlblGRTV2WzMfdpo7M2kfzAdDjah4czLh/h732WItBo0lgLFH7qw7HHRXCnEUtFWCGuUywH4VY7gYEe3yhyak9nmY8R5XJ7tNOVhliQjTLfoSPMeeADiqinBz4VEm/4rNuOp3tif8PtVz0LlYVLofFG4vqxAcgWKSvkkniMgWJ3AHn5/nie8OVOqJI6aVrRHxEjC/Ua0hjp37tElyeEU9K0yQn8e94XF9JF+mBGZx1kNZzaF7c0EGFzcfQ/XEkopPfCa2YvC6sOXfo4sOo/rhSuo4FPNkTTMz2G21zc7+nrhQbItRZxLTzoVlkpauIgp2It5HFi8O+1arpJIqXOKJKuHSFaRRaTp1Pn+WIRnGVQtTLJMNJuFJtuOu48xgNCK/KyjK5qImbSDbxbjEahWtMsx24Z0VW8OcE8fUEVXLSU0yE2DAAODsSD32v8AnjMUdQZ3OoM+X1UkUij?+FrddumMxBTllaVFleg3trZ3TFQyUmZTS1VEtXFlIfMopIiOUiB1KjT1QkhBboSpJxzz7QuFMkyfi7OK7Lcrrq8UtXIsss84L6UkYDQo6tsDv2I63xbOe8Z+5TV+bZs4ipKelJmlPxVOtCqQACwYhmJ09tj84rxDB/wCrcrzDMIqKsM8tPEi8mQf8sBUMp7CwKG4+vTFGLlL8dmLlfcOcTiPKJqZozUU1WgeGWWQc2MKbXYdRYhxY9sSXNZssqKaWHLpoqnnBZXSUEiMEDy7m9/T74jNFwrWUmTV1LWVx59LExWKZl5mwDAg2+Gx7eeI4Zs84XzajqY5qSvp54llqGVrPCWveNht6fU2w4BL6CpyjhCCepos1q/xpRK3OYFllJF9F97dT5WwvxHm?+X5tzc/fm1MVRElOWQm8TBR4wF+X64jGYVcnEOYU1LBRySLBzGMs8YZpFYAaQTsAALYYZDlScL1tTSVVRKtPVAFUaQ7f6b9PlbyxzS3sCWZbVoMmFFBTzZqrShhKISzkEHsd9jhcU+VVNMaSagMNTKTe8Y5gUd7f741ggmymkWsyWtR43IbQEOtfO4+WE1pq+qi97VBUJc61ZuXIt/wCU/PHQAub8L5tTzpLk?+lKmmIPPj+Nlvtq6YQp6XNJqyPLs6ylq6KoBJIi1MRvfqbdcTIGKCKCrrqSolpIdJqpoyGaMnb4b3bewvbbBKejFcFp?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?/O1vrjr7POFYMz4ipc+nMUnu0KKiWsRoZm38wS//ALRjnj9k7hyfNeNMxzdYFeLL6LRqZrBXkYWP/wDFH++OvqzIKpY0q6QU5C76Xsy3vtcd+nT1wlerb2Sm6h7ko6pL0Of5xRvE5llrFmQeZkAY2+rEYmdPktRyEhkhJeEC9tgTbcj64eZxwXmtRxRRZ9yKWOJIUilRAqF5EYlZLetzf/pGCObvX0VljdY+UoBKn+LqVtf1xTjx8G2MdRmWSIlfS7/7jWPIGnjCpE47hbdb4aZhlNfTsX5K3jGqzHrhak4ozNJRz5NhsthawHmceZtW55W0xqVq3khU2so3U9r4tFSP1ElU92cSxnT1HQYZSGriEbrWcwHci?/5HG9TPWdJJbEHoTY4YstRM7WVVY9m7YAHvvFQHVXV1BF7mxuMRf22V9Sns4qqNJWdEdJrA7Fe5t6YOe7TJaV9za19XX5YRzCno86yuXLM2himpJvCys2ADlThaUPVTNGLMEsGN7AHrfEty8S0shamUK6m7INw18WTQezfLOFs0LQ0kM+WzA+K/w36/PATi3gWq4f5Wb5PMKjLJmsJBuYm?/lb09cUZ45LkizFfCts9y+qMlN77JCRojIEJ6gg9bYI09bFUwSSzAMzG4XoUNv1xHqeseaWNiNEkfiDE7MDg7QRxzMKwkBgxVoSttQPl/bCY+J1lQ8MMknKWrpXXxp/KLfdTv19cOcvoIaJXaZbpMANMguVsN7/frjykpDHMa+JSuoNGIALixP5/LC70s1dTmbLjvEx1Rark/9J/ocBdOP28mRvNMtpZap?+RPyGQlbL/EAdrHp54zBD93vX1EtOUEEsagnUNmN97+RxmAqUt90joHO/aHScV1armj0Ap25XulPApeNQmpWXYEEkgAkm52774Fw8V1NJQxZflbQwUqlOXUwgs7sEAZGJ6jUQLdDf0vgPkXBM+VZdR5ZXVdKayWqeCmDsOXyQ4RXZr2jJutr9djfbfxMikhpp6OqzJKHxoBHG5DyAarMptbSAik2PVt8BwfVPuVVza/iOtqRm5KimlieyfGCyuOhBUFfrgZxDw1lstVLLIYxOFKqGUFGYMQFLDvaxv6dfMrm6Ik9mpdccCxioeICRdVyGtYdb7k3t9LYeGKkalkljpmlSFh+LKQuogDcqOoNifp1wAQ/wBzrKWEUziqo4w7FYAoaLe9iL3uD64aVHD+YZmxK5eqTJy4mkY+Aox+LT0AseuJJ+96PMElphDlz05dVqJZYi0ib2CxljZeo6WPrh7LTwU7+5LU6o41Eqys7aY2FtrdLde?/bAAD/eqZLK1PM8ksMR0O6RaI9RUAEknYfO3TBqshynl5fKY6ZZKhDyXFQJNXzCm8Z8r/AGxGs?+oaXNKOCLiWrhpXaQSzKLFSdRIJQGzDYdxhpW0+R11c8kdSgoxYiXmMi6gBv8jbpvb1wASbO6GRylTXZdHTxLKIYWppryhQNzpv19T+eI1lced0klZTyZbPEsLao6qaqB6noFYAm/psMEcxiXM6eCoyI+9KwuZaRnLXG24sLH5dfXHh4W4/aNK2aOSoj02UzHW1vIq2/wBcADaZBxBBNWmhMWbRpGsE5lKQ2UnVrK7sbeRwvl8tfA8PvcCyyC6GeC7Appv4Sd/qce/uLMZZVghypQyan?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?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?+4Zt74HSU9QxZibG/ltbFiycN0lVAZYKpNSWBW12I+eGc/DcE0BSGSSNhsbxgjABWlX74XJWfYAgbEDAeWDMHQASFRfrcjFl1vCrL4Ia0sx7SQ7Eee3TDKr4SqBpjp49bEeIWOACI5PmFVQRPl+YZVHW08h1auadSn0PbBGlzDKKaR6CbIy9FVn8aISa1F+9j0+mHDcK5hFeQ6Y7+EqGbCY4dzBSWihuAbag1h+eACD8ccFR5ZWQz5KzTZVKGZWC7xn+Q4G0RSQqJyRpAMbkbWH+fTFy5bw7WVETUVbSl4ZARpZxo?+2IPxVwe2QSRxRU8wp2Ygkgaojv9x5HvhTLi4+5eBvDl37a8kXh98KzRTkJy2Bje+zC1wSfrsfvhRquqVpKSJAryKeapFje23ToT1vhhLLNE/wC7ZXHKlBTnDspHb?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?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?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?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?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?/tg/RZzOCiU1NEhJ0khAAPTfEZpEZYAskkt5DsojOki3Y38/TEs4eoBTxCqalPgPMAMV3YDcm/W23njraXdkMNVvSC2Y8Z13DyDVlzNIyHTUJtGh7gte9wPQjtiBzZlPPWPmtdWrNVOrM5kXYNsNXhI362vt3waz/P34mrwTlWqGmQiOBFPjIA8TfO1/IdN8RfOMtmqa7l0UA0Rx6n5UlwsgYkoDvrsSL9r3AuLHCGS+T/gbb0tki/eIzGMcqteKQK3i16GGw1DUNyt1vuet8BwmWUsk81M8UcwYEmGPe1x3NyxuD1++AtfSZ08K01JqjiI1SFWu5Yblbi9gQB03Pa3XDyJKmDLFabJampghTl?+8xMwgjYgkDUQLsbXsfMb4gCaa2hPPcyqKXKMzqaFZoZY4JJA/LA30m3n67+uJF7UuHMv4c4E9nVAtHS6kqspSMREXj5dLJJIwAUEFiWJNzu3riFvLLmpqsopv+LBQCTmKQtyd7NazXv29cR/gfMuP+KUkrPaFnlRW0mRzS5flytGkRTlgRuxKqpayqqgtf?+LvjQ6TPGLBlT8sUz43eWGvols+b0FFUq1BOjO99S3YldtwNwTfuL/2w5jzaSqd5EywhR/zGlTTZtrW3Nr/ADxgyqh5SyVNOlPMY/wpWVWJF9jf0+nfAyreukWKjimjeNn?/AOIn1DmupsAOlh8+wxnjg6zGmE0VnSXTp5iJJVsyg+YXp+mK59o9MKvhWtemgihKwnWAq6pDfqdr/Y4n2a53m0FFJDFTvIiKNEVwwJGwbzvbbAqv4VreJ8iqf3q70DRU0rRxIPjJUkA77b+eJ4nq0/5Ksqrj7TlOLRrHM+HBBdIGwBFthgc6PE7RyCzISrDyIw8pf+UN7749LjpTW2Ii00AVDIniDLa4H5YESiUeKM9Oq264KSfA3yOB2DJU09ygHNDpaPmhvi2t5Y7K/Zqp6yL2W0k6quiSpqGW4NyNZUkduoOOK0Bjk5kbFSeo88d6exLI874f9meQ0E9OsE3Jad0epZCOYzPYro2Pj3F8QAl5qauOQX0upGk9Qy9/l5YXjaZUWGWMOJVLjQysTuQCxJ26dMNSmaPK2qh1XPiKSh+/mQMPRTZjylaPKqx77NvDp?/8Av8+2ADbLmWOXQ2zWZlOpTbofPY9T0wVNbTwaowhAkAbxKN77jocB1pK8uJZ8ln0HroEIGkjfpJcYcS0TtIrnLK5FKeDlqGK/RSbi18ABBK2OxaSnVF1DZwLjCkVdFGQ6RAhupC7/AK74Cy18PhjlpK5ZB0BppT2uTcIRhvWZhSIiu8kMXUF2mK362+JQRgAktPyi?+uOpUI9x4tvphZ7xI+maF5QbKgYn9MV4nElKKi4nll8QusTR228rkX/TBmDNZ55ZJIBUgN8OqWIncb2HM7YAJOy5jUKHp2hUJ1UMFt9sbouZxnU2l7gnZxscR6kOYtIdFS2pja147frh5BBXzmWJ6xFjvsHA/wDGAAmk2apZ2pWlN9yPFgnT5jKEVaukkW/U3a7ffoPriIq9bBqjiqnN+pJv08jh7STZoxFxrA7kW/U4AD88uuzIrqp7Emx++E4Y1ty1p05ZNiqoAPyGGYhzx0BgLyWPYX+2F6Zs5iCxyQzaifiYFR97YAF1p4KUlaajp4r9VVFH6Y8YIoJ93K3O5JONhHWzylnQBz0Iv1+2MNPNEx5qMzn+U/CftgA9SbleARle5JFz/TGYaT++I5BZHI+d/wA8ZiLuV5YD1KBpE1u4sjmwubG3kbdcI1LwwqWk0REAneTa?/wBsI5rmk1NGixTBOYBpFje?/e+I3U5xUyTCOR0ul/C4JBB6gkdcYcY6yd6fY0zbN62OdnjgKa7AApv8AM4jU0khIVGut97/EPltth1UtTc9WMhs4sVPZu+/lhSOljnvFHaw3vfDZxra0BZKN5mC2WRbg2Iub+YwRpqQbahcruBbBqkyYEHwkMO29sFqfJpKdBWZg+mAdF/iPrgIzOvIrw3lEEEAq6+nDXuEW9rflghmWdcmFItxpFkUN2wDmzq8+ilqHKDZTax287YFZpXNT/wDHSs5CG++9z98BMWzfPDSrJIZi8zeS304gGZ5zJLrkmqJGYj53wtmmbS18j6ZELOCdiCTgCsUlQn4jPINVyFG9vIYCnNLqew2fMYnJWWoYJYiykk38hfDek5kzjlprv1U9QPW53wdo8hSvswjeDVdRcgm?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?+GcRnjmsy?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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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?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?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?/Utc2GJFmVLS56W5q0sU4isrR9FAuWFuxIPW3liH5xw3FV1cEC5bK9PGS8cYAJYE2v1FrDtiU8X8iubvfddgwZa2Cjkmpkmancty1eDZWv0A72/3w1eizZYjLXKsa05Cr47FvCLdNz1Itg5Q0MWQ0d6istEsYjQcy6RC58LLcknbrYDClIkFRmFNl+ZuaeGrYl3DEoV63G3y++Ilr19gjMjVPR0TQgzTMVAVI9Vxbpb5H8saJSZll1mrKCaIuGZFnhKKQNrrcf5fGkdLnNLHOcvkFNG/geWFvGwsDpvuQDc3Hfzx5TzIsMEbvZoyTGwFlJ/1XJvjqbT2iDqJItmho43eeR0ji+Ig3BLegAucAsyNHFSiojkkkvu1tgdvPEvrcirszqUkqLiKFjIOQ4uB13N/ywzz6gpY0E8eXwx1JITnQoImII2JVfCfth?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?/EaVnV9Vz8Vuotft9MKScOfvWRcziWaaVbyuDIqRqLAkWHiIN+xvjMZgAi5qMroqxgoZZHLETdWVLC9gR2BHfDepzbLKyepQV1VUywKQobwOSCTe9tNjY+vXfGYzAR0pXYGV3Ey0lNN+64kKuQsrWtcG9+u99yP0I7PckWGSnh94qjLARzEOgjTEwvpPU7X6evfGYzALY/7te4JQw5fRgLUxSFo5CzzJIQAzjY6bb22BPzwxzbiBqNlnlmCk6IJWjQjUtwdVuxBazDoRYjoQcxmAaS0e5hLEF5VXJZJN7IoJsCNiSD3Oxxo/JpZHjjQjSiuJUZgUTewIvY/TGYzAI5G+TRH6jN56pC0lWLSCwUKTqPa?+Eia6oSKoSqEaAsgtcEHYW28/PGYzAVmrPPTRMKYf8pvGdZ6t3N/74fZbUVGqGoq4oakSyclDaxFvPGYzD2J7nYC2ZywUumtgjaN3a21rdfPqO+A+b1NJmFH7tIAYrWIAIBu1reffGYzFh1PT2FOFMspIFlrXUSZgCY3IJClQLAAdNhYX64lEIkl2ZCdO9g22MxmHsPwRLI90wvQqk0sEMezG5XsMFGoHaVIJW3Y2vc323vjMZi0gSDKKP3SEK0mpbkLqBuPzPlgqQI7gOQGXy6/5/XGYzAAjJUaCFjHj07Ak/rvbCNNVSh3KXLN0XawHXr/ALYzGYAH37wkCaeUCWXe4Bscew1CQyGWxTWfhA6/XGYzABvFmEInYltBF72Hw+eCK5tRa42eKxlPgOm?+o+f/AJxmMwAEHq6Z9AEY3BN9PQflhOOaneUISArrqG2MxmABUSQowjjuNt9KAXw8ZVZRDpIAHxBrfljMZgA1huCyOrheihW2H0wpGojkDKWUmxsvf54zGYAMigI1uXJU7aTYjz774c06tKebsAvgIIG432xmMwAeTiJLI8aOCLEG9/pjMZjMAH//2Q==" width="304px" alt="water"> Using SNMP protocols leak detection techniques can inform IT workers in charge of monitoring knowledge center and server rooms. If you understand your house has plumbing issues, it’s value it to buy a leak detector so you’re alerted immediately to any flooding problems. There are loads of reasonably priced devices (including high-tech models) out there to keep you and your home protected.

A Feature Paper ought to be a substantial authentic Article that includes a quantity of methods or approaches, offers an outlook for future research instructions and describes attainable research functions. The installation of leak detection techniques is due to this fact becoming more commonplace in most new industrial office development schemes along with the more apparent targets of museums, galleries and archives. The mainframe computer room has largely been replaced with the Data Centre however the software has remained with almost common use of "computer-room" fashion raised floors in nearly all new commercial and workplace construction.


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Last-modified: 2023-10-04 (水) 18:24:10 (217d)