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116results about "Element presence detection by oxidation" patented technology

High-precision water quality online automatic monitor

The invention discloses a high-precision water quality online automatic monitor, which comprises a quantifying system, a sampling system, a reaction system and a control system; the quantifying systemcomprises a measuring glass tube, and the upper part of the measuring glass tube is provided with an ultrasound wave sensor; the sampling system comprises a peristaltic pump and an eight-way valve which are connected through a pipeline; the reaction system comprises a digestion device and a light emitting and receiving device, the digestion device comprises a digestion pipe and a PT100 sensor; both ends of the digestion pipe are provided with electromagnetic valves, and the electromagnetic valves are connected with the digestion pipe; the light emitting and receiving device comprises a lightemitter and a light receiver which are arranged at both sides of the digestion pipe; the control system comprises a single chip, a memory and a display module. Compared with the prior art, the fluid in the measuring glass pipe and the rest fluid content in the reagent bottle can be exactly measured through the ultrasound wave sensor and a distributed film pressure sensor; the high-precision waterquality online automatic monitor has the advantages of being strong in multifunctional expanding property, high in sensitivity and low in cost.
Owner:安徽英凯环境技术有限公司

Dynamic soft measuring method of 4-CBA content based on convolutional neural network

The invention discloses a dynamic soft measuring method of 4-CBA content based on a convolutional neural network. The dynamic soft measuring method of the 4-CBA content based on the convolutional neural network is used for calculating the content of 4-CBA generated in the PTA oxidation process. The dynamic soft measuring method of the 4-CBA content based on the convolutional neural network comprises the following steps: firstly, constructing a mapping relation between an input and an output of a dynamic soft measurement model on the basis of the convolutional neural network, using a time sequence data block of a relevant measurable variable in the PTA oxidation process as the input of the dynamic soft measurement model and using the 4-CBA as the output of the dynamic soft measurement model; secondly, inputting the time sequence data block into the convolutional neural network in which convolutional layers and pooling layers are alternately distributed, wherein the layer numbers of theconvolutional layers and the pooling layers are both 2, the first layer of pooling adopts characteristics after convolution is extracted in a one-dimensional max-pooling manner, and the second layer of pooling adopts max-pooling equivalent to the sizes of characteristic graphs output by the convolutional layers to perform sampling; calculating the output of the last layer of pooling by using a linear function to obtain an output result; and comparing the result with 4-CBA analysis data and updating parameters. The dynamic soft measuring method of the 4-CBA content based on the convolutional neural network, disclosed by the invention, has the advantages that the dynamic soft measurement model is simple and easy to realization, and the measurement accuracy of the model is improved.
Owner:NANJING UNIV OF POSTS & TELECOMM
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