Method for evaluating pre-processing effect of high-efficient straw methane utilization

A straw pretreatment and evaluation method technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of different effects, large differences in cost input, lack of scientific indicators and basis, etc., to achieve Easy to use and operate, low monitoring cost and simple indicators

Inactive Publication Date: 2011-02-09
NORTHWEST A & F UNIV
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  • Application Information

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Problems solved by technology

Adding various chemical and biological pretreatment accelerators, the effect and cost input of various pretreatment methods are quite different, and the effects are not the same, and there is currently no accurate evaluation of the pretreatment effect and degree of straw pretreatment Standards are basically based on experience and simple judgments based on the color change of straw, pretreatment time and ambient temperature, lack of scientific indicators and basis, and it is difficult to solve the problem of evaluating the effect of raw material pretreatment for large-scale biogasification of straw

Method used

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  • Method for evaluating pre-processing effect of high-efficient straw methane utilization
  • Method for evaluating pre-processing effect of high-efficient straw methane utilization
  • Method for evaluating pre-processing effect of high-efficient straw methane utilization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] For the same pretreatment method, the straws treated for more than 6 days (including 6 days) were sampled every 2 days, and a total of 4 samples were taken. The temperature (°C), Ph, C, N, water soluble carbon (WSC) and cellulose content of the samples were determined. The determination of temperature and Ph value is the measured value of raw material pretreatment; the determination of C, N, water-soluble carbon (WSC) and cellulose content is carried out according to the national monitoring standard.

[0022] The calculation method of T value in the evaluation index is as follows:

[0023]

[0024] The change of the content of cellulose is:=(starting point cellulose X 0 -End Cellulose X i ) / starting point cellulose X 0

[0025] BP neural network training samples

[0026] The training value corresponding to each sample is shown in Table 2, and the random value method is used to obtain the value. The number of samples is determined according to the training requi...

Embodiment 2

[0049] The same pretreatment method of embodiment 2, the evaluation of pretreatment effect in different pretreatment stages

[0050] 1. Use chemical accelerators or biological accelerators to stalks to take samples on 6 days, 8 days, 10 days and 12 days of pretreatment, and measure the temperature (°C), Ph, C, N, water-soluble carbon (WSC) and Cellulose content, calculate the value of each index in different pretreatment stages.

[0051] 2. Use the training sample set of the trained ANN combined with the evaluation index to evaluate the preprocessing effect of the four stages.

[0052] 3. Finally, each preprocessing effect is determined according to the scoring value of the simulation evaluation. The higher the score, the better the processing effect.

Embodiment 3

[0054] Different pretreatment methods are used for the same kind of straw. When the treatment is basically finished, samples are taken to measure the temperature (°C), Ph, C, N, water-soluble carbon (WSC) and cellulose content of the sample, and the material content of different pretreatment methods is calculated. The value of each indicator. The rest of the steps are the same as those in Embodiment 1 and will not be repeated here.

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Abstract

The invention discloses a method for evaluating the pre-processing effect of directly using straws as a raw material of efficient methane fermenting. The method comprises the following steps of: in a straw pre-processing process, sampling at different processing stages in the straw pre-processing process by different pre-processing methods; obtaining an evaluating index of the samples; and performing computer simulation evaluation on the samples trained according to a back propagation artificial neural network to evaluate the pre-processing effect of the straws at the different pre-processing stages, and selecting the optimal pre-processing method. In order to evaluate the straw pre-processing effect of various technology, techniques and promoting agents of domestic straw direct methane utilization, in the method, the effect of different processing schemes is comprehensively evaluated by building index systems, such as temperature (DEG C), Ph, T value, water-soluble carbon (WSC), cellulose content change (percent) and the like, which indicate straw pre-processing degree, and by using a BP artificial neural network model, so as to select the optimal pre-processing scheme.

Description

technical field [0001] The invention relates to the technical field of straw biogas, in particular to a method for evaluating the effect of straw pretreatment in the process of straw biogas utilization. Background technique [0002] At present, my country's rural households have reached 30.5 million households using biogas, and a considerable number of biogas digesters have reduced the scale of rural household farming and the structure of rural family members. Simple livestock and poultry manure and human excrement cannot meet the needs of biogas fermentation raw materials, resulting in a part of biogas The utilization efficiency of ponds is relatively low, and the annual output of crop straw in my country is estimated to reach 650-700 million tons per year, and the resources are extremely rich. Compared with other raw materials, straw biogas utilization has the following advantages: ① straw is widely distributed and raw materials are sufficient, which can completely solve th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 冯永忠赵肖玲任广鑫李铁冰杨改河
Owner NORTHWEST A & F UNIV
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