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Real-time multitask scheduling method based on DSP (Digital Signal Processor) fly ash carbon content measurement

A technology of fly ash carbon content and scheduling method, which is applied in the direction of measuring device, neural learning method, multi-programming device, etc., can solve the problems of limited DSP storage, large amount of parameter training data, and poor real-time measurement, so as to achieve real-time The effect of online measurement

Active Publication Date: 2018-12-11
西安帝和电子科技有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a real-time multi-task scheduling method based on DSP fly ash carbon content measurement, to solve the problems caused by complicated algorithm and large amount of parameter training data in measuring fly ash carbon content based on DSP using BP neural network algorithm The problem of limited DSP storage and poor real-time measurement, and then realize the real-time online measurement of fly ash carbon content

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  • Real-time multitask scheduling method based on DSP (Digital Signal Processor) fly ash carbon content measurement

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Embodiment Construction

[0017] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0018] A real-time multi-task scheduling method based on DSP fly ash carbon content measurement, step 1: using BP (backpropagation) neural network algorithm to realize online measurement of fly ash carbon content;

[0019] Step 2: Transplant the BP neural network algorithm to the DSP digital signal processor for online parameter training and online measurement of carbon content in fly ash;

[0020] The on-line measurement method of the carbon content of the fly ash is a BP neural network algorithm, and c is the carbon content of the fly ash, and N is the concentration of the fly ash sample in the pipeline, then the magnitude of the electrostatic signal generated when the fly ash flows through the pipeline It has a nonlinear relationship with c and N, based on the electrostatic sensor to collect the electrostatic signal sequence carried by the ...

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Abstract

The invention discloses a real-time multitask scheduling method based on DSP (Digital Signal Processor) fly ash carbon content measurement. The fly ash carbon content is measured on line based on a DSP by adopting a BP neural network algorithm, a non-real time task (BP neural network parameter training) and a real time task (online fly ash carbon content prediction) are simultaneously performed bya Protothread multithreading model, the 'real-time property' and 'concurrency' of multitask scheduling can be ensured, and the problems that the storage capacity in the DSP is limited and the measuring real-time property is poor because the BP neural network algorithm is complicated and the training data quantity is high are effectively solved, so that the real-time online measurement of the flyash carbon content is realized.

Description

technical field [0001] The invention belongs to the technical field of sensor detection and digital signal processing, in particular to a real-time multi-task scheduling method based on DSP fly ash carbon content measurement. Background technique [0002] In industrial thermal power generation, the carbon content of fly ash is an important indicator affecting the boiler combustion system. Real-time and online measurement of carbon content in fly ash is conducive to adjusting the ratio of primary air volume and incoming coal powder, improving combustion efficiency, and improving boiler units. The safety and economy of operation are of great significance to the prevention of environmental pollution. [0003] At present, most of the existing fly ash carbon content measurement devices use physical measurement methods, including electrostatic methods, microwave methods, optical reflection methods, etc., and their devices all have problems such as complex equipment, high cost of c...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N15/06G06F9/48G06F9/50G06N3/04G06N3/08
CPCG06F9/4881G06F9/5016G06N3/084G01N15/06G06F2209/5018G06N3/044
Inventor 弋英民税莹
Owner 西安帝和电子科技有限公司
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