CN109142647A - A kind of scaling method of compost moisture content online monitoring instruments - Google Patents
A kind of scaling method of compost moisture content online monitoring instruments Download PDFInfo
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- CN109142647A CN109142647A CN201811249593.XA CN201811249593A CN109142647A CN 109142647 A CN109142647 A CN 109142647A CN 201811249593 A CN201811249593 A CN 201811249593A CN 109142647 A CN109142647 A CN 109142647A
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Abstract
The invention discloses a kind of scaling methods of compost moisture content online monitoring instruments, comprising the following steps: S1: choosing fresh pig manure and corn stover is raw material；S2: fresh pig manure and smashed corn stover are puddled；S3: the material after puddling is put into fermentor, places material by factor level, and encode to corresponding factor level, so that material is carried out aerobic fermentation after probe to be embedded to material by different level；S4: during material fermentation, 17 points of selection are required to be measured according to response phase method；S5: establishing response surface model, analyzes test result, exports three-dimensional figure.The present invention is better than single factor test scaling method, and single factor test scaling method can not consider influence when dual factors interaction, the method for the present invention simple possible, model inspection precision is high, it is adaptable, it can be applied under two kinds of factors, the occurrence without detecting each factor just obtains practical moisture content.
Description
Technical field
The present invention relates to the scaling method field of compost moisture content online monitoring instruments, specially a kind of compost moisture content exists
The scaling method of line monitoring instrument.
Background technique
Compost moisture on-line monitoring instrument is the dielectric property using electric signal measurement tested material, then passes through dielectric property
Relationship between moisture content calculates the moisture content of tested material.During livestock excrement composting, material water ratio is
Important process control parameter in the basis of compost microbe vital movement and compost understands material water ratio in real time and helps
Composting process, Optimizing Process Parameters are understood in operator, thus improve composting efficiency and reduce investment operating cost, therefore,
Line monitors compost moisture content to the engineering of livestock excrement composting using particularly important.Traditional compost moisture detecting method is to take
Sample method needs to sample, weigh, dry, weigh etc., complex steps lack timeliness, and due to object volatilizable in organic fertilizer
Matter is relatively more, will lead to a part of substance volatilization in drying course, increases the error of sampling weighing, in engineering composting process
In, it cannot achieve uniform sampling sampling.Compost moisture on-line monitoring instrument can solve drawback present in sample detection.Heap rich water
Divide online monitoring instruments precision that can be influenced by temperature, bulk density, initial aqueous rate, and in composting process, compost temperature can be 20
DEG C~70 DEG C between change, and compost material bulk density general control is in 600kg/m3~800kg/m3, compost initial aqueous rate one
As be affected between 50%~70%, therefore suffered by compost moisture on-line monitoring instrument, cannot directly to compost moisture into
Row monitoring, is demarcated to improve monitoring accuracy.
Summary of the invention
The technical problem to be solved by the present invention is in view of the deficiencies of the prior art, it is online provide a kind of compost moisture content
The scaling method of monitoring instrument, for overcoming the existing instrument scope of application small, the low deficiency of precision.
To solve the above problems, building the present invention provides a kind of compost moisture content online monitoring instruments calibration peg model
Cube method, comprising: optimize pig manure treatment process using response phase method, designed using Central Composite response surface
Method chooses three temperature, bulk density and initial aqueous rate factors as relevant variable, according to list on the basis of single factor experiment
Factor result chooses optimum level, carries out fitting of a polynomial recurrence to the relevant variable, obtains regression equation, finally incites somebody to action
To regression equation be embedded into instrument.
The center meets design and refers to: testing site includes cube point, central point and three kinds of axial point.Specifically with three factors
For Central Composite design, the vertex for the cube that cube point distribution is 1 with side length, central point is located at cube center, axial
Point is also known as initial point, and asterisk point is distributed in the axial direction of central point, and in addition to a coordinate is+a or-a, remaining coordinate is all
It is 0；
The following steps are included:
(1) it chooses fresh pig manure and corn stover is raw material；
(2) fresh pig manure and smashed corn stover are puddled；
(3) material after puddling is put into fermentor, places material by factor level, and carry out to corresponding factor level
Coding makes material carry out aerobic fermentation after probe to be embedded to material by different level；
The transcoding, coding transform are as follows: each factor variation range is different in response surface design, the model of certain independents variable
It is extremely greatly different to enclose difference；For the convenience being uniformly processed, the value of design parameter is made into transcoding, coding transform, establishes its structural factor level
The one-to-one relationship of value and " coding "；Coding is to solve dimension difference and give design and analysis bring trouble；
(4) during material fermentation, 17 points of selection are required to be measured according to response phase method；
17 points that the response phase method is chosen refer to the scheme according to BBD, complete all cubes by measuring moisture content
The design experiment of point, central point and axial point obtains the numerical value of testing site moisture content by determination of moisture instrument.
(5) response surface model and peg model are established, test result is analyzed, exports three-dimensional figure.
The described response surface model of establishing is to input the aqueous rate score of measurement into response surface software, software to data into
Multinomial coefficient is extracted after the analysis of row regression, the i.e. measured value response of polynomial relation obtained between each factor and response is bent
Surface model: Y=62.5+5.73 × A+6 × B+14.9 × C+0.075 × A × B-3.03 × A × C+3.78 × B × C+0.36 ×
A2-2.69×B2+4.31×C2, and export 3-D image.Each factor value is substituted into model, model calculation value can be obtained, by model meter
Calculation value and oven drying method detected value are fitted the calibration relationship between the measured value and material water ratio for obtaining FDR moisture transducer
For formula.Y=12.34X-0.19X2+0.000963X3- 221.07, the fitting coefficient of equation is 0.946.
Compared with prior art, the good effect of this invention is:
1. the present invention is better than single factor test scaling method, single factor test scaling method can not consider influence when dual factors interaction,
The method of the present invention simple possible, model inspection precision is high, adaptable, can apply under two kinds of factors.
2. temperature, bulk density and initial aqueous rate influence factor are included in by the peg model of measured value, the suitable of model is increased
Ying Xing, and X is FDR detected value in model, Y is practical moisture content, shows only set the conditions of material using this model
Determine in a certain range, without detecting the occurrence of each factor, the data after directly being detected by FDR probe are calculated through this model
You can get it practical moisture content.
Detailed description of the invention
FDR detected value is compared with oven drying method detected value after Fig. 1 calibration；
Fig. 2 is response surface three-dimensional figure temperature, the influence of bulk density respective value；
Fig. 3 is response surface three-dimensional figure temperature, initial aqueous rate respective value；
Fig. 4 is response surface three-dimensional figure bulk density, initial aqueous rate respective value；
Fig. 5 is the distribution of three testing sites factor CCD.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
A kind of method for building up of compost moisture content online monitoring instruments calibration, the specific steps are that:
Corn stover is chosen as conditioner and fresh pig manure；
The corn stalk dried (measuring C/N ratio is 55.48, moisture content 22.71%) is crushed, degree of grinding 1-3cm,
As conditioner and fresh pig manure (measuring C/N ratio is 15.58) mixing, mixed proportion is that C/N ratio is 28.5, and mass ratio is
9:2；
Material initial moisture content is modulated 50%, 60%, 70% respectively, the material that moisture content is modulated is respectively with bulk density
For 602.41kg/m3、6810kg/m3、757.58kg/m3, place in jar, temperature is chosen in the experimental design of software according to response
20 DEG C, 40 DEG C, 60 DEG C of point is simultaneously encoded.
Illustrate the rule of change for the transcoding, coding transform of one temperature T of the present embodiment.In view of compost material in composting process
The variation of temperature, the variation range of T are (Tmin=20, Tmax=60) then the coding of T is as follows:
The half of section is long
Central point
Then the coding formula of T is
It, can be by section (T by this transcoding, coding transformmin, Tmax) it is converted into (- 1,1).
Similarly, the transcoding, coding transform result of other factors can be obtained, it is seen that table 1.
1 factor transcoding, coding transform result of table
Response software automatically generates 17 testing sites in experimental design, including cube point, central point and an axial point
Three kinds, the distribution of three testing sites factor BBD shown in attached drawing 2.The present embodiment using CCD Central Composite design, test sequence be with
Machine, after completing the design of BBD Central Composite, measurement of water-content coefficient is carried out using compost moisture content online monitoring instruments, BBD is compound
Design and test result are as shown in table 2.
The design of 2 BBD Central Composite of table and test result
Response surface analysis is carried out to test result using spss software, obtains the Responsive surface model of FDR detected value:
Y=62.5+5.73 × A+6 × B+14.9 × C+
0.075×A×B-3.03×A×C+3.78×B×C+0.36×A2-2.69×B2+4.31×C2
Each factor level substitution response model can be obtained into model calculation value, specific value such as table 3
3 measured value of table and model calculation value
Analysis the results are shown in Table 4 it is found that model P < 0.001 shows that the quadratic equation is significant when using moisture content as response,
Fitting effect is good, high reliablity.As P < 0.05, that is, indicate that this index is significant, R2When greater than 0.75 and close to 1, show
Models fitting is good.AdeqPrecision is used to indicate the error between the calculated value at design point and average computation value, AP value
It should be greater than 4, to show that noise will not generate any error in response surface design.
4 data analytical table of table
Model calculation value can be obtained using response model, it is quasi- to carry out multinomial to model calculation value and oven drying method detected value
It closes, the calibration relationship obtained between the measured value and material water ratio of FDR moisture transducer is formula, and the fitting coefficient of equation is
0.946。
Y=12.34X-0.19X2+9.63×10-4X3-221.07
X is FDR detected value；Y is practical moisture content
This model insertion FDR moisture on-line is monitored into system, passes through containing in whole cycle during the practical compost of detection
Water rate is simultaneously compared with oven drying method detected value, as a result as shown in Figure 1, the detected value of FDR detected value and oven drying method after correction
The relatively uniform two sides up and down for being distributed in 45 ° of lines.Compared with oven drying method detected value, the absolute deviation of FDR detected value is -1.1
Between~3.1%, relative deviation is between -2.8~4.58, mad 2.27%, illustrates this model to FDR water
The raising of sub-sensor detection accuracy has positive effect.This model is suitable for pig manure stalk mixed material compost, each conditions
Are as follows: 20-65 DEG C of temperature, bulk density 602.41-757.58kg/m3, moisture content is 35%~65%.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (5)
1. a kind of scaling method of compost moisture content online monitoring instruments, which comprises the following steps:
S1: choosing fresh pig manure and corn stover is raw material；
S2: fresh pig manure and smashed corn stover are puddled；
S3: the material after puddling is put into fermentor, places material by factor level, and compile to corresponding factor level
Code makes material carry out aerobic fermentation after probe to be embedded to material by different level；
S4: during material fermentation, 17 points of selection are required to be measured according to response phase method；
S5: establishing response surface model, analyzes test result, exports three-dimensional figure.
2. a kind of scaling method of compost moisture content online monitoring instruments as described in claim 1, it is characterised in that: the jade
It is 1~3cm of length that rice stalk, which shines dry grinding, and corn stover is proportionally mixed with fresh pig manure.
3. a kind of scaling method of compost moisture content online monitoring instruments as described in claim 1, it is characterised in that: will design
The value of parameter makees transcoding, coding transform, establishes the one-to-one relationship of its structural factor level value and coding.
4. a kind of scaling method of compost moisture content online monitoring instruments as described in claim 1, it is characterised in that: response surface
Three temperature, bulk density and initial aqueous rate factors are chosen as relevant variable.
5. a kind of scaling method of compost moisture content online monitoring instruments as described in claim 1, it is characterised in that: the sound
17 points for answering face method to choose refer to the scheme according to CCD, suitable for applying under two kinds of different factors.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117589632A (en) * | 2024-01-18 | 2024-02-23 | 山西金宝岛基础工程有限公司 | Method for testing water content in foundation water injection humidifying process through dynamic compaction |
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| CN117589632A (en) * | 2024-01-18 | 2024-02-23 | 山西金宝岛基础工程有限公司 | Method for testing water content in foundation water injection humidifying process through dynamic compaction |
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