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Novel intelligent brix measurement system and method

A technology of intelligent measurement and Brix, which is applied in the field of food engineering, can solve problems such as the convergence speed of random fluctuations in model output, and achieve the effects of easy implementation, improved stability, and improved quality factor

Inactive Publication Date: 2022-03-08
GUANGXI UNIV
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Problems solved by technology

However, since the regularization parameter C of the kernel extreme learning machine and the assignment of the kernel function parameter γ are random, it will lead to random fluctuations in the model output and slow convergence speed

Method used

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  • Novel intelligent brix measurement system and method
  • Novel intelligent brix measurement system and method
  • Novel intelligent brix measurement system and method

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Embodiment 1

[0053] Embodiment 1 A new type of Brix degree intelligent measurement system and method

[0054] Such as figure 1 As shown, the Brix intelligent measurement system of this embodiment includes a data processing and control module, a frequency sweep source module, a microwave resonator, a low noise amplifier module, a detector module and an analog-to-digital converter module;

[0055] The data processing and control module realizes the functions of data collection, processing, buffering, transmission and communication. The data processing and control module sends data collection instructions to the frequency sweep source module; the frequency sweep source module generates microwave signals after receiving instructions, and transmits microwave The signal is input to the microwave resonator; under the action of the syrup, the electromagnetic field inside the microwave resonator is disturbed, resulting in changes in the resonance frequency and quality factor, and the microwave sign...

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Abstract

The invention discloses a novel intelligent brix measurement system and method, real-time detection can be realized through an improved microwave resonant cavity, and meanwhile, aiming at the problems of a traditional syrup brix measurement mathematical model, a data driving model of a kernel extreme learning machine optimized by a particle swarm algorithm is adopted, so that the brix measurement accuracy is improved. The performance of the syrup brix measurement model of the nuclear extreme learning machine is improved, and the syrup brix can be accurately and stably measured.

Description

technical field [0001] The invention relates to the technical field of food engineering, in particular to a novel Brix degree intelligent measuring system and method. Background technique [0002] Cane juice clarification and boiled sugar crystallization are important processes in the sucrose production process. The clarification effect and crystallization effect will affect the quality of sugar and the benefits of the sugar factory. The syrup Brix is ​​an important monitoring parameter in these two processes. Accurate monitoring Syrup brix is ​​beneficial to improve product quality. At present, many measurement methods have been proposed, among which the conductivity method and the refractive index method are more common. In addition, in the mathematical model of syrup brix measurement, the mixed dielectric constant and multiple regression fitting methods are currently used for modeling. [0003] Both the conductivity method and the refractive index method have technical ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N22/00G06N3/00G06N3/08
CPCG01N22/00G06N3/006G06N3/08
Inventor 蒙艳玫胡松杰柳宏耀吴建范陈劼李正源李济钦张月吴雪
Owner GUANGXI UNIV