CN109613123B - Device and method for detecting adsorption performance of biomass carbon material - Google Patents
Device and method for detecting adsorption performance of biomass carbon material Download PDFInfo
- Publication number
- CN109613123B CN109613123B CN201910047519.8A CN201910047519A CN109613123B CN 109613123 B CN109613123 B CN 109613123B CN 201910047519 A CN201910047519 A CN 201910047519A CN 109613123 B CN109613123 B CN 109613123B
- Authority
- CN
- China
- Prior art keywords
- adsorption
- value
- biomass charcoal
- charcoal material
- audio
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/14—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object using acoustic emission techniques
Landscapes
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Solid-Sorbent Or Filter-Aiding Compositions (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
The invention discloses a device and a method for detecting adsorption performance of a biomass charcoal material. Compared with the prior art, the method of the invention has the following characteristics: 1. the instrument used by the detection device is low in price, and the experimental consumables only use water in the detection process, so that the detection device is wide in application range; 2. the detection time is short, the whole test analysis process is not more than 15 minutes, the iodine adsorption value of the biomass charcoal material sample to be detected can be directly obtained through simple operation, the direct reading can be conveniently realized, and the detection result is more visual; 3. the adopted biomass charcoal material sample is basically lossless, and the sample can be recovered to the original state after being dried and dehydrated after being detected.
Description
Technical Field
The invention relates to the technical field of nondestructive testing, in particular to a device and a method for testing adsorption performance of a biomass charcoal material.
Background
In modern society, people pay more and more attention to environmental problems, and biomass charcoal materials are ideal materials for air purification. The adsorption performance of the biomass carbon material directly determines the air purification capacity of the biomass carbon material, and the existing method for measuring the adsorption performance of the biomass carbon material mainly comprises two categories, one category is that a specific surface area adsorption instrument is used for representing the adsorption performance of the carbon material, and the method has the advantages of accurate measurement and capability of representing isothermal adsorption and desorption curves of the carbon material and has the defects that the specific surface area adsorption instrument is expensive, liquid nitrogen is needed for cooling a test quartz tube in a test, nitrogen is needed for continuously flushing the test material, the test time of one sample is over 20 hours, if the sample pretreatment time is added, the whole measurement period is over 1 day, and the test process is time-consuming, expensive and labor-consuming. The other method is a general chemical determination method, for example, a determination method for iodine adsorption value of wood activated carbon test disclosed by national standard GB/T12496.8-1999, which has the advantages of simpler determination conditions than instruments and more accurate determination results, but the chemical reagent proportioning conditions of the method are more complicated, for example, a sodium thiosulfate solution needs to be stood for 2 weeks after being prepared, a soluble starch indicator needs to be temporarily prepared before being used, a biomass carbon material needs to be crushed to 71um before being tested, in addition, the test result needs to be in a correction coefficient correction interval, if the test result is outside the correction interval, the number of test samples needs to be adjusted according to the result and the determination is carried out again until the test result falls in the correction coefficient correction interval, so the test process of one sample needs to be at least more than half an hour, and the test process is more complicated. In daily life and production, the adsorption performance of the biomass charcoal material does not need to be measured accurately, but needs to know the approximate adsorption interval quickly.
Disclosure of Invention
The invention aims to provide a device and a method for detecting the adsorption performance of a biomass charcoal material, and aims to solve the problems of complicated procedure, high cost and overlong determination time in the conventional process for determining the adsorption performance of the biomass charcoal material.
In order to achieve the purpose, the invention provides the following scheme:
a biomass charcoal material adsorption performance detection device comprises: the device comprises a pipette, a tissue culture container, an audio collector and an audio processing platform; the pipette is used for measuring a certain amount of water and adding the water into the tissue culture container; the tissue culture container is used for providing an adsorption reaction environment of the biomass charcoal material; the audio collector is used for collecting audio signals in the adsorption reaction process; the audio processing platform is used for analyzing and processing the acquired audio signals and outputting the iodine adsorption value of the biomass charcoal material.
Optionally, the pipette is a 50mL pipette.
Optionally, the caliber of the tissue culture container is 9cm, and the depth of the tissue culture container is 8 cm.
Optionally, the audio collector is a digital recording pen or a mobile phone.
Optionally, the audio processing platform is a desktop computer, a notebook computer, a tablet computer or a mobile phone equipped with audio processing software.
Optionally, the adsorption reaction ambient temperature of the biomass charcoal material is 5-35 ℃.
A method for detecting the adsorption performance of a biomass charcoal material comprises the following steps:
collecting a plurality of audio signals of the adsorption reaction process of a plurality of biomass carbon material samples with known iodine adsorption values;
generating underwater adsorption sounding characteristic maps of biomass charcoal material samples with different iodine adsorption values according to the plurality of audio signals; the underwater adsorption sound production characteristic map is an envelope value map, a decibel map or a DP probability map;
establishing a regression equation of the water adsorption sounding characteristic spectrum by adopting a quadratic polynomial regression method; the regression equation is an envelope value regression equation, a decibel value regression equation or a DP value regression equation;
acquiring an audio signal to be detected of the biomass carbon material sample to be detected with an unknown iodine adsorption value in an adsorption reaction process;
converting the audio signal to be detected into an adsorption sounding characteristic value in water; the underwater adsorption sounding characteristic value is a wire wrapping value, a decibel value or a DP probability value;
substituting the characteristic value of the adsorption sounding in the water into the regression equation, and calculating to obtain the iodine adsorption value of the biomass charcoal material sample to be detected.
Optionally, the method for generating the underwater adsorption sounding feature map of the biomass charcoal material sample with different iodine adsorption values according to the plurality of audio signals specifically includes:
generating an envelope value diagram of biomass charcoal material samples with different iodine adsorption values according to the plurality of audio signals; the abscissa of the envelope curve is the iodine adsorption value of the biomass charcoal material sample, and the ordinate is the electric signal intensity value of the audio signal;
or generating decibel graphs of biomass charcoal material samples with different iodine adsorption values according to the plurality of audio signals; the abscissa of the decibel chart is the iodine adsorption value of the biomass charcoal material sample, and the ordinate is the decibel value of the audio signal;
or generating a DP probability chart of biomass charcoal material samples with different iodine adsorption values according to a plurality of audio signals; the abscissa of the DP probability chart is the iodine adsorption value of the biomass charcoal material sample, and the ordinate is the probability that the root mean square of the acoustic wave energy of the audio signal is attributed to background energy.
Optionally, the establishing of the regression equation of the acoustic absorption feature spectrum in water by using a quadratic polynomial regression method specifically includes:
establishing an envelope value regression equation of a curve of the electric signal intensity value along with the change of the iodine adsorption value in the envelope value graph by adopting a quadratic polynomial regression method;
or establishing a decibel value regression equation of a decibel value variation curve along with the iodine adsorption value in the decibel graph by adopting a quadratic polynomial regression method;
or a second-order polynomial regression method is adopted to establish a DP value regression equation of a DP value change curve along with the iodine adsorption value in the DP probability graph.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a device and a method for detecting adsorption performance of a biomass carbon material, which utilize the principle that in the process of adsorbing the carbon material in water, as water molecules enter the porous structure of the carbon, air in the pore diameter is extruded to cause cavitation bubbles and the water molecules and the cavitation bubbles and the surface of the carbon to generate wave vibration, collect a wave vibration audio signal generated by adsorption reaction of the carbon in the water through an audio collector, and utilize wave vibration information generated by adsorption of carbon samples with different adsorption performances in the water as a basis for judging the quality of the carbon adsorption performance to determine the iodine adsorption value of a biomass carbon material sample to be detected, thereby reliably representing the adsorption performance of the biomass carbon material. Compared with the prior disclosed test method, the method of the invention has the following characteristics: 1. the instrument used by the detection device is low in price, and the experimental consumables only use water in the detection process, so that the detection device is wide in application range; 2. the detection time is short, the whole test analysis process is not more than 15 minutes, the iodine adsorption value of the biomass charcoal material sample to be detected can be directly obtained through simple operation, the direct reading can be conveniently realized, and the detection result is more visual; 3. the adopted biomass charcoal material sample is basically lossless, and the sample can be recovered to the original state after being dried and dehydrated after being detected.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for detecting the adsorption performance of a biomass charcoal material according to the present invention;
FIG. 2 is a blank peak chart according to an embodiment of the present invention;
fig. 3 is a graph of an adsorption peak of a biomass charcoal material sample with an iodine adsorption value of 210mg/g according to a first embodiment of the present invention;
FIG. 4 is a graph of the average peak value and the envelope value of the adsorption process of carbon samples with different iodine adsorption values in water according to one embodiment of the present invention;
FIG. 5 is a diagram of blank dB values provided by the second embodiment of the present invention;
fig. 6 is a dB value graph of the biomass charcoal material sample with iodine adsorption value of 210mg/g adsorbing the audio signal according to the second embodiment of the present invention;
fig. 7 is a decibel value graph of carbon samples with different iodine adsorption values in water according to the second embodiment of the present invention;
FIG. 8 is a blank DP value chart according to the third embodiment of the present invention;
fig. 9 is a DP value graph of the biomass charcoal material sample with iodine adsorption value of 210mg/g adsorbing the audio signal according to the third embodiment of the present invention;
fig. 10 is a DP probability chart of the adsorption process of carbon samples with different iodine adsorption values in water according to the third embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to solve the problems of complicated procedures, high cost and overlong determination time in the conventional biomass charcoal material adsorption performance determination process, and provides a biomass charcoal material adsorption performance detection device and method which are simple in components, low in production cost, intuitive and quick in test result.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
The sound is widely used in the fields of metal processing, petrochemical industry, electric power, aerospace, rock mechanics, fluid leakage, transportation, material tests and the like as a medium of a nondestructive testing means, but the research of using the sound for detecting the carbon adsorption performance of the porous adsorption material is not reported yet. The invention provides a device for detecting the adsorption performance of a biomass carbon material, which utilizes the principle that in the process of adsorbing the carbon material in water, air in pore diameters is extruded because water molecules enter the porous structure of the carbon, so that cavitation bubbles and the water molecules and cavitation bubbles and the surface of the carbon rub to generate wave vibration.
The device for detecting the adsorption performance of the biomass carbon material provided by the invention specifically comprises: the device comprises a pipette, a tissue culture container, an audio collector and an audio processing platform. The pipette is used for measuring a certain amount of water, which is usually 50mL of water, and adding the water into the tissue culture container. Putting the biomass charcoal material sample into the tissue culture container for adsorption reaction, wherein the tissue culture container is used for providing an adsorption reaction environment for the biomass charcoal material; the audio collector is used for collecting audio signals in the adsorption reaction process; the audio processing platform is used for analyzing and processing the acquired audio signals and outputting the iodine adsorption value of the biomass charcoal material.
Preferably, the pipette is a 50mL pipette. The caliber of the tissue culture container is 9cm, and the depth is 8 cm. The audio collector adopts a digital recording pen, the audio processing platform is a desktop computer, a notebook computer or a tablet computer provided with Sonicvisualiser audio processing software, in addition, audio signals can also be recorded by utilizing the recording function of the mobile phone, and meanwhile, the audio processing software arranged on the mobile phone is utilized to analyze the audio signals to obtain the iodine adsorption value of the biomass carbon material to be detected.
The temperature of the adsorption reaction environment of the biomass charcoal material is 5-35 ℃. When carbon material samples with different adsorption performances (the iodine adsorption value is 10-1300mg/g) are mixed with water to generate violent adsorption reaction, measuring the audio frequency change of the reaction system and recording the maximum audio frequency change value. And establishing regression equations of different iodine adsorption performances and different audio signals, and predicting the adsorption performance of the biomass carbon material to be detected by using the regression equations. The iodine adsorption value is an important index for measuring the quality of the carbon material, and the higher the iodine adsorption value is, the better the quality of the biomass carbon material is, and otherwise, the worse the quality is.
The audio signal acquisition method for acquiring the audio signal in the adsorption reaction process by adopting the biomass carbon material adsorption performance detection device comprises the following steps: adopt 50mL pipette accuracy volume to get 50mL water, move and get 50mL water in the tissue culture container that the bore is 9cm, the degree of depth is 8cm tissue culture container's container mouth is placed the audio collector, puts into 1g living beings charcoal material sample tissue culture container in, through the audio collector gathers the audio signal of adsorption reaction process, and will audio signal sends to audio processing platform. Wherein the mass quantity of the biomass charcoal material sample needs to be accurate to 0.01 g. In this embodiment, the audio collector is an R6601 type audio collector manufactured by the patriotic electronics ltd, and the R6601 type audio collector is provided with two sound wave collectors and can collect two sets of audio signal data in parallel.
The collected audio signal data are analyzed by using Sonicvisualiser software to respectively obtain a sound wave oscillogram, an average peak value graph, an envelope curve value graph, a decibel graph and a DP probability graph, and meanwhile, various characteristic graphs such as a sound wave one-square spectrogram, a sound wave sound intensity graph, a sound wave displacement energy graph, sound wave electric signal increment and the like can be obtained through digital-to-analog conversion and are synthesized into the underwater adsorption sounding characteristic graphs of different carbon samples. And determining the adsorption performance of the biomass charcoal material to be detected according to the underwater adsorption sounding characteristic map.
Based on the device for detecting the adsorption performance of the biomass charcoal material provided by the invention, the invention also provides a method for detecting the adsorption performance of the biomass charcoal material. Fig. 1 is a flow chart of a method for detecting adsorption performance of a biomass charcoal material provided by the invention. Referring to fig. 1, the detection method includes:
step 101: and acquiring a plurality of audio signals of the adsorption reaction process of a plurality of biomass carbon material samples with known iodine adsorption values.
Firstly, a plurality of biomass carbon material samples (carbon samples for short) which are calibrated by a chemical method and have known iodine adsorption values are selected as research objects, the iodine adsorption values of the plurality of biomass carbon material samples are respectively 100, 210, 320, 420, 640, 850, 1070 and 1290mg/g, and the audio signals of the adsorption reaction process of the biomass carbon material samples with the known iodine adsorption values are respectively collected by the biomass carbon material samples with the known iodine adsorption values according to the audio signal collection method provided by the invention, so as to obtain a plurality of audio signals of the adsorption reaction process of the plurality of biomass carbon material samples with the known iodine adsorption values.
Step 102: and generating the underwater adsorption sounding characteristic spectrum of the biomass charcoal material samples with different iodine adsorption values according to the plurality of audio signals. The underwater adsorption sound production characteristic map is an envelope value map, a decibel map or a DP probability map. The step 102 specifically includes:
the first embodiment is as follows: audio envelope value for measuring adsorption performance of carbon material
Fig. 2 is a blank peak diagram provided in the first embodiment of the present invention. Fig. 3 is an adsorption peak diagram of a biomass charcoal material sample with an iodine adsorption value of 210mg/g according to an embodiment of the present invention. The abscissa of fig. 2 and 3 is the acquisition time in seconds and the ordinate is the average peak value of the acquired audio signal in v. Comparing fig. 2 and fig. 3, it can be seen that when the carbon just enters the liquid, the waveform rapidly expands and rapidly reaches the peak, then rapidly attenuates, finally the sound wave slowly tends to be gentle and finally melts in the background noise wave, the whole process can last for about 15 minutes, but the peak reaching and rapid falling are generally rapidly completed within 15 seconds after the carbon enters the water liquid, which is similar to the adsorption kinetics of porous materials, because water and air belong to liquid phase and gas phase respectively, the reaction degree is more intense than the adsorption in the same phase, and the reaction time is shorter. The peak plots for the different carbon samples were approximately the same, indicating that the adsorption kinetics for the different carbon samples in the aqueous phase were relatively similar.
The ordinate in fig. 3 is the average peak value of the collected audio signals, that is, the average value of the peak values of the audio signals collected by the two signal sources of the R6601 type audio collector, and it can be seen from the average peak value fig. 3 that the waveform reaches the highest value quickly just after the carbon enters the liquid, and the highest value is recorded as the peak value. When the amplitude wave gradually shrinks after falling from the peak, the average intensity of the audio signal within 5s after the peak is recorded as the envelope value. Fig. 4 is a graph of the average peak value and the envelope value of the adsorption process of carbon samples with different iodine adsorption values in water according to an embodiment of the present invention. As shown in fig. 4, generating an envelope value chart of biomass charcoal material samples with different iodine adsorption values according to a plurality of audio signals; the abscissa of the envelope curve is the iodine adsorption value of the biomass charcoal material sample, and the ordinate is the electric signal intensity value of the audio signal. In the embodiment of the invention, the electric signal intensity values of eight audio signals corresponding to eight carbon samples with different iodine adsorption values (100, 210, 320, 420, 640, 850, 1070 and 1290mg/g) are collected, so that an average peak value graph and an envelope curve value graph of biomass carbon material samples with different iodine adsorption values adsorbed in water are drawn. A curve of the electric signal intensity value changing with the iodine adsorption value can be obtained from the average peak value graph and the envelope curve, a curve 401 in fig. 4 is a curve of the electric signal intensity value changing with the iodine adsorption value in the average peak value graph, a curve 402 is a curve of the electric signal intensity value changing with the iodine adsorption value in the envelope curve, a second-order polynomial fitting regression is performed according to the iodine adsorption value and the electric signal intensity value on the curves to establish a simulation equation, and the obtained peak value regression equation is as follows:
Y1＝-8×10-8X2+0.0002X+0.0162R2＝0.9502 (1)
the envelope value regression equation is:
Y2＝-3×10-8X2+0.0001X+0.0096R2＝0.9781 (2)
wherein Y (including Y1 and Y2) is the electric signal intensity value of the audio signal, X is the iodine adsorption value of the carbon sample, and R is the oxygen adsorption value of the carbon sample2Is the correlation coefficient. As can be seen from the regression equations (1) and (2), the correlation coefficient of the regression value of the envelope value is higher than that of the peak value, which indicates that the envelope value can be used as the characteristic value of the adsorption sound peak of carbon in water. Therefore, the method adopts the envelope value regression equation to predict the iodine adsorption value of the carbon sample to be detected. When the adsorption performance of an unknown carbon sample is detected, the iodine adsorption performance X of the carbon sample can be obtained only by substituting the envelope value of the audio signal measured by the unknown carbon sample into the envelope value regression equation.
Example two: decibel is used for measuring the adsorption performance of carbon material
deciBel (dB) is a unit in electrical and acoustic metrology, i.e., the ratio of two electrical or acoustic powers or two voltage or current values or similar acoustic quantities. While digital music uses full scale levels, i.e. the maximum allowed for 32767 for 16bit samples is taken as 0dB (reference point), i.e. the critical point where "digital overload" is likely to occur is taken as a reference point, under such criteria, most of the actual levels are negative.
Fig. 5 is a diagram of blank dB values provided by the second embodiment of the present invention. Fig. 6 is a dB value graph of the biomass charcoal material sample with iodine adsorption value of 210mg/g adsorbing the audio signal according to the second embodiment of the present invention. The abscissa of fig. 5 and 6 is the acquisition time in seconds, and the ordinate is the dB value of the acquired audio signal in dB. Comparing fig. 5 and fig. 6, it can be seen that as the carbon adsorption performance is improved, the decibel value of sound adsorption of carbon in water is also increased.
Fig. 7 is a decibel value chart of the adsorption process of carbon samples with different iodine adsorption values in water according to the second embodiment of the present invention. And generating decibel graphs of biomass charcoal material samples with different iodine adsorption values according to the plurality of audio signals, wherein the abscissa of the decibel graph is the iodine adsorption value of the biomass charcoal material sample, and the ordinate is the decibel value of the audio signal. Establishing a decibel value regression equation of a decibel value variation curve along with the iodine adsorption value in the decibel graph by adopting a quadratic polynomial regression method, wherein the equation comprises the following steps:
Y3＝1.8767ln(X)-20.397R2＝0.9771 (3)
wherein X is the iodine adsorption value of the carbon sample, Y3 is the decibel value of the audio signal adsorbed by the carbon sample in water, and the equation fitting degree is very high according to the correlation coefficient of equation (3), so that the decibel value can be used as the characteristic value of the sound response of the carbon in water for measuring the carbon adsorption performance. When the adsorption performance of an unknown carbon sample is detected, the iodine adsorption value of the carbon sample can be obtained only by substituting the decibel value of the audio signal measured by the unknown carbon sample into the decibel value regression equation, and the larger the iodine adsorption value is, the better the adsorption performance of the carbon sample is, otherwise, the worse the adsorption performance of the carbon sample is.
Example three: DP value used for measuring adsorption performance of carbon material
DP (diprobability) is the probability that the root mean square of sound wave energy is attributed to background energy, and a smaller DP value indicates that the adsorption sound of the carbon in water is more different from the background sound, and conversely indicates that the sound is less different from the background sound and is easily interfered by the background sound. Fig. 8 is a blank DP value chart provided by the third embodiment of the present invention. Fig. 9 is a DP value graph of the biomass charcoal material sample with iodine adsorption value of 210mg/g adsorbing the audio signal according to the third embodiment of the present invention. The abscissa of fig. 8 and 9 is the acquisition time in seconds, and the ordinate is the DP value of the acquired audio signal. Fig. 10 is a DP probability chart of the adsorption process of carbon samples with different iodine adsorption values in water according to the third embodiment of the present invention. Generating a DP probability chart of biomass charcoal material samples with different iodine adsorption values according to the plurality of audio signals; the abscissa of the DP probability chart is the iodine adsorption value of the biomass charcoal material sample, and the ordinate is the probability that the root mean square of the acoustic wave energy of the audio signal is attributed to background energy. From FIG. 10, it is understood that the DP value of the adsorption sound in water is low for the high adsorption carbon, and the DP value of the adsorption sound in water is high for the low adsorption carbon. And establishing a DP value regression equation of a DP value change curve along with the iodine adsorption value in the DP probability chart by adopting a quadratic polynomial regression method, wherein the equation comprises the following steps:
Y4＝8×10-7X2-0.0017X+0.9936R2＝0.9713 (4)
wherein X is the iodine adsorption value of the carbon sample, and Y4 is the DP value of the audio signal. The equation correlation coefficient shows that the equation fitting degree is high, so that the DP value can be used as a characteristic value of the adsorption sound response of the carbon in water for measuring the carbon adsorption performance. When the adsorption performance of an unknown carbon sample is detected, the iodine adsorption value of the carbon sample can be obtained only by substituting the DP value of the audio signal measured by the unknown carbon sample into the DP value regression equation, and the larger the iodine adsorption value is, the better the adsorption performance of the carbon sample is, otherwise, the worse the adsorption performance of the carbon sample is.
Step 103: and establishing a regression equation of the water adsorption sounding characteristic spectrum by adopting a quadratic polynomial regression method. The regression equation is an envelope value regression equation, a decibel value regression equation or a DP value regression equation.
The step 103 specifically includes:
establishing an envelope value regression equation of a curve of the electric signal intensity value along with the change of the iodine adsorption value in the envelope value graph by adopting a quadratic polynomial regression method;
or establishing a decibel value regression equation of a decibel value variation curve along with the iodine adsorption value in the decibel graph by adopting a quadratic polynomial regression method;
or a second-order polynomial regression method is adopted to establish a DP value regression equation of a DP value change curve along with the iodine adsorption value in the DP probability graph.
Step 104: and acquiring an audio signal to be detected of the biomass carbon material sample to be detected with unknown iodine adsorption value in the adsorption reaction process.
By adopting the biomass charcoal material adsorption performance detection device and the audio signal acquisition method provided by the invention, the audio signal to be detected in the adsorption reaction process of the biomass charcoal material sample to be detected with unknown iodine adsorption value is acquired.
Step 105: converting the audio signal to be detected into an adsorption sounding characteristic value in water; and the underwater adsorption sounding characteristic value is a wire wrapping value, a decibel value or a DP probability value.
And converting the audio signal to be detected into a corresponding envelope value, decibel value or DP probability value by adopting Sonicvisual summary audio analysis software to be used as an underwater adsorption sound production characteristic value.
Step 106: substituting the characteristic value of the adsorption sounding in the water into the regression equation, and calculating to obtain the iodine adsorption value of the biomass charcoal material sample to be detected.
And substituting the envelope value Y2 into the envelope value regression equation (2) when the envelope value of the audio signal is taken as the characteristic value of the sound adsorption in water, and calculating to obtain the iodine adsorption value X of the biomass charcoal material sample to be detected.
And substituting the decibel value Y3 into the decibel value regression equation (3) to calculate the iodine adsorption value X of the biomass carbon material sample to be detected when the decibel value of the audio signal is taken as the characteristic value of sound adsorption in water.
And substituting the DP value Y4 into the DP value regression equation (4) to calculate the iodine adsorption value X of the biomass charcoal material sample to be detected when the DP probability value of the audio signal is used as the characteristic value of sound adsorption in water.
The device and the method for detecting the adsorption performance of the biomass charcoal material provided by the invention have the characteristics that a reaction system is composed of water, the group is very simple, the production cost is low, the detection speed is high, and the device and the method can be suitable for quickly determining the adsorption performance of various biomass charcoal materials.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (6)
1. A method for detecting the adsorption performance of a biomass charcoal material by using a biomass charcoal material adsorption performance detection device is characterized in that the biomass charcoal material adsorption performance detection device comprises: the device comprises a pipette, a tissue culture container, an audio collector and an audio processing platform; the pipette is used for measuring a certain amount of water and adding the water into the tissue culture container; the tissue culture container is used for providing an adsorption reaction environment of the biomass charcoal material; the audio collector is used for collecting audio signals in the adsorption reaction process; the audio processing platform is used for analyzing and processing the acquired audio signals and outputting iodine adsorption values of the biomass charcoal material; the method for acquiring the audio signal of the device for detecting the adsorption performance of the biomass carbon material comprises the following steps: accurately taking water by adopting the pipette, transferring the water into the tissue culture container, placing the audio collector at the container opening of the tissue culture container, placing a biomass charcoal material sample into the tissue culture container, collecting audio signals in an adsorption reaction process through the audio collector, and sending the audio signals to the audio processing platform;
the analysis and processing process comprises the following steps:
collecting a plurality of audio signals of the adsorption reaction process of a plurality of biomass carbon material samples with known iodine adsorption values;
generating underwater adsorption sounding characteristic maps of biomass charcoal material samples with different iodine adsorption values according to the plurality of audio signals; the underwater adsorption sounding characteristic map is an envelope value map, a decibel map and a DP probability map, the envelope value is the average intensity of an audio signal of an acquired audio signal within 5 seconds of the maximum electric signal intensity reduction, the abscissa of the envelope value map is the iodine adsorption value of the biomass charcoal material sample, the ordinate is the envelope value of the audio signal, the abscissa of the dB map is the iodine adsorption value of the biomass charcoal material sample, the ordinate is the decibel value of the audio signal, the abscissa of the DP probability map is the iodine adsorption value of the biomass charcoal material sample, and the ordinate is the probability that the sound wave energy root mean square of the audio signal is attributed to background energy;
establishing a regression equation of the water adsorption sounding characteristic spectrum by adopting a quadratic polynomial regression method; the regression equations are envelope value regression equation, decibel value regression equation and DP probability value regression equation;
the envelope value regression equation is: y2 ═ 3 × 10-8X2+0.0001X+0.0096R2＝0.9781 ；
Wherein Y2 is envelope value of audio signal, X is iodine adsorption value of biochar material sample, and R is2Is a correlation coefficient;
the decibel value regression equation is: y3 ═ 1.8767ln (x) -20.397R2＝0.9771；
Wherein Y3 is the decibel value of the audio signal generated by adsorbing the biochar material sample in water, X is the iodine adsorption value of the biochar material sample, and R is the iodine adsorption value2Is a correlation coefficient;
the DP probability value regression equation is: y4 ═ 8 × 10-7X2-0.0017X+0.9936R2＝0.9713 ；
Wherein Y4 is DP probability value of the audio signal, X is iodine adsorption value of the biochar material sample, and R is2Is a correlation coefficient; the DP probability value is the probability that the root mean square of the acoustic energy is attributed to the background energy;
acquiring an audio signal to be detected of the biomass carbon material sample to be detected with an unknown iodine adsorption value in an adsorption reaction process;
converting the audio signal to be detected into an adsorption sounding characteristic value in water; the underwater adsorption sounding characteristic values are envelope values, decibel values and DP probability values;
and substituting the water adsorption sounding characteristic value into a corresponding envelope value regression equation, a decibel value regression equation and a DP probability value regression equation to calculate the iodine adsorption value of the biomass charcoal material sample to be detected.
2. The method for detecting the adsorption performance of biomass charcoal material by using the device for detecting the adsorption performance of biomass charcoal material according to claim 1, wherein the pipette is a 50mL pipette.
3. The method for detecting the adsorption performance of the biomass charcoal material by using the biomass charcoal material adsorption performance detection device according to claim 1, wherein the caliber of the tissue culture container is 9cm, and the depth of the tissue culture container is 8 cm.
4. The method for detecting the adsorption performance of the biomass charcoal material by using the device for detecting the adsorption performance of the biomass charcoal material according to claim 1, wherein the audio collector is a digital recording pen or a mobile phone.
5. The method for detecting the adsorption performance of the biomass charcoal material by using the device for detecting the adsorption performance of the biomass charcoal material according to claim 1, wherein the audio processing platform is a desktop computer, a notebook computer, a tablet computer or a mobile phone with audio processing software.
6. The method for detecting the adsorption performance of the biomass charcoal material by using the device for detecting the adsorption performance of the biomass charcoal material according to claim 1, wherein the adsorption reaction environment temperature of the biomass charcoal material is 5-35 ℃.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910047519.8A CN109613123B (en) | 2019-01-18 | 2019-01-18 | Device and method for detecting adsorption performance of biomass carbon material |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910047519.8A CN109613123B (en) | 2019-01-18 | 2019-01-18 | Device and method for detecting adsorption performance of biomass carbon material |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109613123A CN109613123A (en) | 2019-04-12 |
| CN109613123B true CN109613123B (en) | 2021-08-06 |
Family
ID=66017697
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910047519.8A Active CN109613123B (en) | 2019-01-18 | 2019-01-18 | Device and method for detecting adsorption performance of biomass carbon material |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109613123B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110823816B (en) * | 2019-11-12 | 2022-09-27 | 佛山科学技术学院 | Experimental device for detect biological charcoal adsorptivity |
| CN111487363B (en) * | 2020-05-07 | 2022-08-16 | 内蒙古浦瑞芬环保科技有限公司 | Method for measuring performance of desulfurization and denitrification activated carbon and application thereof |
| CN116499925B (en) * | 2023-06-30 | 2023-09-15 | 苏州巨联环保有限公司 | Method for testing adsorption saturation degree of activated carbon |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10123013A (en) * | 1996-10-18 | 1998-05-15 | Mitsubishi Heavy Ind Ltd | Microbubble generator |
| CN103871307A (en) * | 2014-03-25 | 2014-06-18 | 中国矿业大学(北京) | Teaching experiment platform for flotation bubble feature extraction |
| CN105928886A (en) * | 2016-04-18 | 2016-09-07 | 浙江省林业科学研究院 | Rapid detection reagent and method for adsorptivity of biomass charcoal material |
| CN105928856A (en) * | 2016-04-18 | 2016-09-07 | 浙江省林业科学研究院 | Rapid detection method for adsorptivity of biomass charcoal material |
| CN207010688U (en) * | 2017-07-28 | 2018-02-13 | 中国人民解放军91388部队 | Underwater sound communication device |
-
2019
- 2019-01-18 CN CN201910047519.8A patent/CN109613123B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10123013A (en) * | 1996-10-18 | 1998-05-15 | Mitsubishi Heavy Ind Ltd | Microbubble generator |
| CN103871307A (en) * | 2014-03-25 | 2014-06-18 | 中国矿业大学(北京) | Teaching experiment platform for flotation bubble feature extraction |
| CN105928886A (en) * | 2016-04-18 | 2016-09-07 | 浙江省林业科学研究院 | Rapid detection reagent and method for adsorptivity of biomass charcoal material |
| CN105928856A (en) * | 2016-04-18 | 2016-09-07 | 浙江省林业科学研究院 | Rapid detection method for adsorptivity of biomass charcoal material |
| CN207010688U (en) * | 2017-07-28 | 2018-02-13 | 中国人民解放军91388部队 | Underwater sound communication device |
Non-Patent Citations (3)
| Title |
|---|
| A novel acoustic approach for the characterization of granular activated carbons used in the rum production;Harold Crespo Sariol et al.;《Ultrasonics》;20160418;摘要，第53-55页，图1-2 * |
| Characterization of Thermally Regenerated Activated Carbons Used in Rum Production by Acoustic Emission Analysis, N2 and Ar Gas Adsorption;Harold Crespo Sariol et al.;《Journal of Advanced Chemical Engineering》;20170709;摘要，第1-4页，第7-9页，图8-9 * |
| Comparative Study between Acoustic Emission Analysis and Immersion Bubble-Metric Technique, TGA and TD-GC/MS in View of the Characterization of Granular Activated Carbons Used in Rum Production;Harold Crespo Sariol et al.;《beverages》;20170224;摘要，第1页，第6-13页，图3-9 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109613123A (en) | 2019-04-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109613123B (en) | Device and method for detecting adsorption performance of biomass carbon material | |
| CN106501795B (en) | A method of underwater acoustic transducer reciprocity calbration is carried out using reverberation tank | |
| CN102375031B (en) | Device and method for testing sound absorbing performance of material | |
| CN103512821A (en) | Method for testing liquid absorption rate of battery diaphragm | |
| CN107389772B (en) | Ratio-type electrochemical sensor and its preparation method and application | |
| CN101672692A (en) | Tuning fork resonance frequency quick measuring method based on virtual instrument | |
| CN100492001C (en) | Method for identifying coal self-combustion tendentiousness based on low temp oxidation oxygen consumption | |
| Parsnejad et al. | Wide dynamic range multi-channel electrochemical instrument for in-field measurements | |
| CN117347456A (en) | Inland water carbon dioxide partial pressure online automatic detection device and detection method thereof | |
| Bi et al. | Investigations on cyclic reciprocal derivative chronopotentiometry. Part 1. Theory for a reversible reaction | |
| CN201788170U (en) | SAW gas sensor based on RBF artificial neural network | |
| CN108375406A (en) | A kind of computational methods and sampler of air sampling volume | |
| CN203249898U (en) | Acoustic measurement device for dynamic stiffness of woodworking band saw blade | |
| Bowermaster et al. | A source of gaseous HNO3 and its transmission efficiency through various materials | |
| Ramos et al. | Pitting corrosion characterization by SVET applying a synchronized noise suppression technique | |
| CN112268993A (en) | Method for rapidly monitoring river channel water quality parameters based on electronic nose technology | |
| Wahlin et al. | On the Instantaneous Polarographic Current | |
| CN117783289B (en) | Method and device for in-situ nondestructive detection of rock free water absorption by utilizing sound wave speed | |
| CN212646384U (en) | Portable carbonate content tester | |
| CN109406603A (en) | A kind of highly selective cadmium ion selection electrode and preparation method thereof | |
| CN113970579B (en) | Real-time online detection method for deposition rate of chloride ions in air in atmospheric environment | |
| CN1075007A (en) | based on numerical integration corrosion monitor and monitoring method | |
| CN216695250U (en) | Device for analyzing and prejudging fault through live equipment operation noise frequency spectrum | |
| CN113848221B (en) | In-situ X-ray absorption spectrum testing device and method | |
| Chunxia et al. | Statistical characteristic of spectrum for ambient noise at high frequencies in shallow water |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |