System and method for online training support vector machine soft-sensing model

A support vector machine and training system technology, applied in the field of support vector machine soft sensor model online training system, can solve the problem of process transplantation without training or optimization

Inactive Publication Date: 2010-05-12
ZHEJIANG UNIV
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Problems solved by technology

[0004] Although there are embedded applications of support vector machine intelligent algorithms such as robots and mobile phone handwriting recognition, most of these applications use

Method used

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  • System and method for online training support vector machine soft-sensing model
  • System and method for online training support vector machine soft-sensing model
  • System and method for online training support vector machine soft-sensing model

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, and the purpose and effect of the present invention will become more obvious.

[0037] Such as figure 1 As shown, the online training system of the support vector machine soft sensor model based on the embedded platform of the present invention is composed of a microcontroller, a memory, a human-computer interaction interface, a communication interface, and a signal input and output interface. Wherein, the microcontroller is respectively connected with the memory, the human-computer interaction interface, the communication interface and the signal input and output interface.

[0038] The micro-controller is the core of the whole system. It receives the quantitative detection of the relevant data from the signal input and output interface or the communication interface. It can communicate with external devices such as computers, and can transmit real-time...

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Abstract

The invention discloses a dual-core embedded platform-based system for online training a support vector machine soft-sensing model, which mainly comprises a microcontroller, a memory, a human-computer interaction interface, a communication interface, a signal input and output interface and the like. An embedded platform-based method for online training the support vector machine soft-sensing model of the invention can maximally meet the requirements on real-time performance and intelligence because related parameters can be automatically set according to data characteristics and manual parameter setting is simultaneously supported. The system has a plurality of functions of being portable, supporting dynamic display and intelligent analysis and the like, realizes complex operations through the simple and direct-viewing human-computer interaction interface, overcomes the defects of difficulty in the realization of miniaturization, difficulty in the determination of related training parameters, the complex operations and the like, particularly the successful transplantation of the online training of a support vector machine algorithm, and provides a scheme which is low in cost, portability and high in the real-time performance for soft-sensing in complex processes in petrochemical technology and the like.

Description

technical field [0001] The invention relates to an online training system and method for a soft sensor model, in particular, an online training system and method for a support vector machine soft sensor model based on an embedded platform. Background technique [0002] With the development of technology and applications, control systems are becoming more and more complex. For difficult-to-control process problems such as multi-input and multi-output, time-varying, nonlinear, and large time-delay, it is necessary to use intelligent algorithms such as support vector machines and soft sensor technology to achieve ideal results. However, these complex algorithms are mostly based on large-scale systems such as DCS and FCS, and the system cost is relatively high. The operating environment of the algorithm is also mostly based on platforms such as industrial computers, which are difficult to meet the requirements of embedded and portable. [0003] Embedded platforms and devices a...

Claims

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Application Information

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IPC IPC(8): G06N99/00
Inventor 王健伟朱懿峰段俊宋执环
Owner ZHEJIANG UNIV
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