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公开(公告)号:US20180044159A1
公开(公告)日:2018-02-15
申请号:US15723993
申请日:2017-10-03
Applicant: SONICU, LLC
Inventor: Kent Eldon CROUSE , Jason YOUNG , Clay HOPF
CPC classification number: B67D1/0406 , B67D1/008 , B67D2001/0091 , B67D2001/0092 , F17C1/005 , F17C1/04 , F17C1/12 , F17C7/04 , F17C13/003 , F17C13/02 , F17C13/021 , F17C2201/032 , F17C2201/056 , F17C2201/058 , F17C2203/032 , F17C2203/0391 , F17C2203/0617 , F17C2203/0629 , F17C2203/0639 , F17C2205/058 , F17C2221/013 , F17C2223/0153 , F17C2223/033 , F17C2250/032 , F17C2250/034 , F17C2250/036 , F17C2250/0408 , F17C2250/0417 , F17C2250/0465 , F17C2250/0491 , F17C2250/0495 , F17C2260/024 , F17C2270/0745 , G01F22/00 , G01F23/0069 , G01F23/296 , G01F23/2961 , G01F23/2966 , G01M3/3245 , G06N3/08 , G06N20/00 , G06Q10/087
Abstract: A liquid container refill management system including a machine learning algorithm and method of training the same, the system and method making use of noninvasive tank-in-tank measuring techniques. The system can comprise of a container fill level indicator. The container fill level indicator can be capable of detecting a vibration response signal on the outer surface of a container, wherein the system is capable of transmitting the response signal to a remote data processor for processing using a trained machine learning algorithm. The trained machine learning algorithm can be trained by the process of selecting model inputs and outputs to define an internal structure of the machine learning algorithm, applying a collection of input and output data samples to train the machine learning algorithm, and verifying the accuracy of the machine learning algorithm by applying input data samples and comparing received output values with expected output values.
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公开(公告)号:US20160348842A1
公开(公告)日:2016-12-01
申请号:US15168008
申请日:2016-05-28
Applicant: SONICU, LLC
Inventor: Kent Eldon CROUSE
IPC: F17C13/00 , G01F23/284 , G06Q10/08 , F17C1/00
CPC classification number: G01F23/2966 , B67D1/008 , B67D1/0406 , B67D2001/0092 , F17C1/005 , F17C1/04 , F17C1/12 , F17C13/003 , F17C13/02 , F17C13/028 , F17C2201/0104 , F17C2201/032 , F17C2201/056 , F17C2203/0391 , F17C2203/0629 , F17C2205/058 , F17C2209/2163 , F17C2221/013 , F17C2223/0153 , F17C2223/033 , F17C2250/032 , F17C2250/034 , F17C2250/0417 , F17C2250/0426 , F17C2250/0465 , F17C2250/0491 , F17C2250/0495 , F17C2260/024 , F17C2270/0745 , G01F23/284 , G06Q10/087
Abstract: A tank-in-tank fill level indicator, making use of noninvasive tank-in-tank measuring techniques. A vibration device, such as an exciter or resonator, vibrates the outer tank at its natural frequency of vibration, thereby inducing the vibration of the inner tank and a beating effect as a result of the interaction of the vibrations of the two tanks. A vibration detection device, such as an accelerometer, detects the resultant beating effect of the two tanks' induced vibrations. A data processing device, such as a microcontroller, processes the detection data to obtain the liquid volume. A display, wired or wireless data transmission device, or combination thereof, is then used to provide tank or container fill-level information.
Abstract translation: 罐内罐装液位指示器,利用无创油罐测量技术。 诸如励磁机或谐振器的振动装置以其固有的振动频率使外箱振动,从而引起内箱的振动和由于两个箱的振动的相互作用而产生的打击效果。 诸如加速度计的振动检测装置检测由于两个罐引起的振动产生的打击效应。 诸如微控制器的数据处理装置处理检测数据以获得液体体积。 然后使用显示器,有线或无线数据传输装置或其组合来提供罐或容器填充级信息。
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