CN117740759A - Quality detection and analysis method for finished products produced by graphene filled mattress - Google Patents
Quality detection and analysis method for finished products produced by graphene filled mattress Download PDFInfo
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 320
- 229910021389 graphene Inorganic materials 0.000 title claims abstract description 319
- 238000004458 analytical method Methods 0.000 title claims abstract description 50
- 238000001514 detection method Methods 0.000 title claims abstract description 22
- 230000000844 anti-bacterial effect Effects 0.000 claims abstract description 34
- 238000004519 manufacturing process Methods 0.000 claims abstract description 28
- 238000005070 sampling Methods 0.000 claims abstract description 20
- 238000013441 quality evaluation Methods 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims description 48
- 230000008569 process Effects 0.000 claims description 28
- 238000010438 heat treatment Methods 0.000 claims description 24
- 238000001069 Raman spectroscopy Methods 0.000 claims description 13
- 239000006260 foam Substances 0.000 claims description 12
- 238000009826 distribution Methods 0.000 claims description 11
- 238000001237 Raman spectrum Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000005520 cutting process Methods 0.000 claims description 3
- 239000000463 material Substances 0.000 description 4
- 230000001580 bacterial effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000004630 atomic force microscopy Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002086 nanomaterial Substances 0.000 description 1
- 238000004626 scanning electron microscopy Methods 0.000 description 1
- 238000001350 scanning transmission electron microscopy Methods 0.000 description 1
- 238000002411 thermogravimetry Methods 0.000 description 1
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Abstract
The invention relates to the field of production quality detection of graphene filled mattresses, and particularly discloses a quality detection and analysis method for finished products produced by graphene filled mattresses, wherein a first, a second, a third and a fourth sample sets are obtained by sampling the finished graphene filled mattresses in the current production batch; respectively carrying out graphene content detection, heat conduction performance detection, electric conduction performance detection and antibacterial performance detection on the first sample set, the second sample set, the third sample set and the fourth sample set to obtain a graphene content coincidence coefficient of the first sample set, a heat conduction performance coincidence coefficient of the second sample set, an electric conduction performance coincidence coefficient of the third sample set and an antibacterial performance coincidence coefficient of the fourth sample set, and further comprehensively analyzing the quality evaluation index of the finished graphene filling mattress of the current production batch; and the graphene filling mattress is comprehensively evaluated from various indexes, so that the production quality and performance of the graphene filling mattress are guaranteed.
Description
Technical Field
The invention relates to the field of production quality detection of graphene filled mattresses, in particular to a quality detection analysis method for finished products produced by graphene filled mattresses.
Background
Graphene is a novel carbon nanomaterial with excellent heat conduction, electric conduction and antibacterial properties. The graphene filled mattress is a novel mattress, and is formed by filling graphene materials. The graphene filled mattress has wide application prospect in mattress industry by virtue of the advantages of comfort, health, durability, environmental protection and the like.
The production quality of the graphene filling mattress is detected and analyzed, defects or unqualified positions of the graphene filling mattress possibly existing in the production process can be found, measures are taken in time to correct, so that the quality and performance of the graphene filling mattress are guaranteed, and the graphene filling mattress has important significance.
The biggest difference between graphene filled mattresses and common mattresses is the filling material of graphene. The existing detection and analysis methods for the production quality of the graphene filled mattress mostly detect general indexes of the graphene filled mattress, such as surface smoothness, size, hardness, elasticity and the like, and only measure the content of graphene for the detection of the graphene components in the graphene filled mattress, and do not further deeply analyze the derivative properties brought by the graphene components in the graphene filled mattress, such as the heat conduction property, the electric conduction property, the antibacterial property and the like of the graphene filled mattress, so that the existing method is not comprehensive, the reliability of the evaluation result of the production quality of the graphene filled mattress is insufficient, and the unique function of the graphene filled mattress cannot be fully exerted, thereby reducing the experience of consumers and influencing the reputation and the public praise of manufacturers.
Disclosure of Invention
Aiming at the problems, the invention provides a quality detection and analysis method for a finished product of a graphene filled mattress, which comprises the following specific technical scheme: a quality detection and analysis method for a finished product produced by a graphene filled mattress comprises the following steps: step one, sampling a finished graphene filling mattress: extracting a set number of graphene filling mattresses from the finished graphene filling mattresses of the current production batch of the target graphene filling mattress manufacturer to obtain a graphene filling mattress sample set, marking the graphene filling mattress sample set as a target mattress sample set, and dividing the target mattress sample set to obtain a first sample set, a second sample set, a third sample set and a fourth sample set of the target mattress.
Step two, detecting the graphene content of the graphene filling mattress: and detecting the graphene content of each graphene filling mattress in the first sample set of the target mattress, and obtaining the graphene content coincidence coefficient of the first sample set of the target mattress.
Step three, detecting the heat conduction performance of the graphene filled mattress: and detecting the heat conduction performance of each graphene filling mattress in the second sample set of the target mattress, and obtaining the heat conduction performance coincidence coefficient of the second sample set of the target mattress.
The specific analysis process of the third step comprises the following steps: and acquiring each sample of each graphene filling mattress in the second sample set of the target mattress, and setting a heating side and a temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress.
Setting the heating temperature and heating time of a heat source, heating the heating side of each sample in each graphene filling mattress in the second sample set of the target mattress, measuring the temperature of the temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress through a temperature sensor, further obtaining the temperature difference between the heating side and the temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress, and marking the temperature difference as the temperature difference between the heating side and the temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress，/>Representing the second sample set of the target mattress +.>Numbering of the individual graphene filled mattresses, +.>，/>Representing the first part of the target mattress in the graphene filled mattress in the second sample set>Number of each sample,/->。
The specific analysis process in the third step further comprises the following steps: by analysis of formulasObtaining the heat conduction performance of the second sample set of the target mattress to meet the coefficient +.>Wherein->Correction factor representing a predetermined thermal conductivity compliance factor,/->Representing natural constant->Representing the number of graphene filled mattresses in the second sample set of target mattresses,/->Representing the number of samples in the graphene filled mattress in the second sample set of the target mattress, +.>A threshold value representing a temperature difference between a heating side and a temperature measuring side of a pre-set graphene filled mattress sample.
Fourth, detecting the conductivity of the graphene filling mattress: conducting performance detection is conducted on each graphene filling mattress in the third sample set of the target mattress, and the conducting performance coincidence coefficient of the third sample set of the target mattress is obtained.
Step five, detecting the antibacterial property of the graphene filling mattress: and detecting the antibacterial performance of each graphene filling mattress in the fourth sample set of the target mattress, and obtaining the antibacterial performance coincidence coefficient of the fourth sample set of the target mattress.
Step six, evaluating production quality of the graphene filling mattress: and analyzing the quality evaluation index of the finished graphene filling mattress of the current production batch according to the graphene content conforming coefficient of the first sample set, the heat conduction performance conforming coefficient of the second sample set, the electric conduction performance conforming coefficient of the third sample set and the antibacterial performance conforming coefficient of the fourth sample set of the target mattress, and feeding back.
The specific analysis process of the first step is as follows: and extracting a set number of graphene filling mattresses from the finished graphene filling mattresses in the current production batch of the target graphene filling mattress manufacturer according to a preset sampling principle to obtain a graphene filling mattress sample set, and marking the graphene filling mattress sample set as the target mattress sample set.
Dividing the target mattress sample set according to a preset equal number principle to obtain a first, a second, a third and a fourth sample sets of the target mattress.
The specific analysis process of the second step comprises the following steps: the method comprises the steps of obtaining graphene foam layers of graphene filling mattresses in a first sample set of a target mattress, dividing the graphene foam layers of the graphene filling mattresses in the first sample set of the target mattress according to a preset grid dividing principle, and obtaining all subregions of the graphene foam layers of the graphene filling mattresses in the first sample set of the target mattress.
Cutting out samples with set sizes in each sub-area of the graphene foam layer of each graphene filling mattress in the first sample set of the target mattress to obtain each sample of each graphene filling mattress in the first sample set of the target mattress.
And sequentially placing all samples of the graphene filling mattresses in the first sample set of the target mattress on a sample table of a Raman spectrometer, setting the laser wavelength and the laser power of the Raman spectrometer, and obtaining Raman spectrograms of all samples in all the graphene filling mattresses in the first sample set of the target mattress.
Acquiring peak positions, peak areas and peak shapes of Raman spectrograms of all samples in all graphene filling mattresses in a target mattress first sample set, further obtaining the distribution area areas, the content and the purity of graphene on the surfaces of all samples in all graphene filling mattresses in the target mattress first sample set, and carrying out the steps ofRespectively marked as，/>Representing the first sample set of the target mattress +.>Numbering of the individual graphene filled mattresses, +.>，/>Representing the first sample of the target mattress concentrated graphene filled mattress +.>Number of each sample,/->。
The specific analysis process of the second step further comprises the following steps: by analysis of formulasObtaining graphene content of a first sample set of a target mattress according to a coefficient +.>Wherein->Correction factor indicating the predetermined graphene content compliance factor, +.>Representing the number of graphene filled mattresses in the target mattress first sample set,/->Representing the number of samples in the graphene filled mattress in the first sample set of the target mattress, +.>Respectively representing the reference distribution area, the reference content and the reference purity of the graphene on the surface of the preset sample,and respectively representing deviation thresholds of the distribution area, the content and the purity of the graphene on the surface of the preset sample.
The specific analysis process of the fourth step comprises the following steps: obtaining samples of each graphene filling mattress in a third sample set of the target mattress, applying a set constant voltage to each sample of each graphene filling mattress in the third sample set of the target mattress according to a preset principle, measuring the current of each sample in each graphene filling mattress in the third sample set of the target mattress through an ammeter, further obtaining the resistance of each sample in each graphene filling mattress in the third sample set of the target mattress through an ohm law calculation formula, and marking the resistance as the resistance of each sample in each graphene filling mattress in the third sample set of the target mattress，/>Representing the third sample set of the target mattress +.>The number of the mattress is filled with graphene,，/>representing the third sample of the target mattress concentrating graphene filled mattress +.>The number of the individual samples is given,。
the specific analysis process in the fourth step further comprises: by analysis of formulasObtaining the conductivity of the third sample set of the target mattress to meet the coefficient +.>Wherein->Correction factor representing preset conductivity compliance factor, < ->Representing the number of graphene filled mattresses in the third sample set of target mattresses>Representing the number of samples in the graphene filled mattress in the third sample set of the target mattress, +.>And representing a preset resistance threshold of the graphene filled mattress sample.
The specific analysis process in the fifth step comprises the following steps: obtaining samples of each graphene filling mattress in a fourth sample set of a target mattress, contacting each sample of each graphene filling mattress in the fourth sample set of the target mattress with a set strain according to a preset principle for a set period of time, setting the period of an observation period, setting each sampling time point in the observation period according to a preset equal time interval principle, obtaining the colony number of each sample surface in each graphene filling mattress in the fourth sample set of the target mattress at each sampling time point in the observation period, and marking the colony number as，/>Indicate->Number of the sampling time points, +.>，/>Representing the fourth sample set of the target mattress +.>Numbering of the individual graphene filled mattresses, +.>，/>Representing the fourth sample set of the target mattress graphene filled mattress +.>Number of each sample,/->。
The specific analysis process in the fifth step further comprises: by analysis of formulasObtaining the antibacterial performance of the fourth sample set of the target mattress to meet the coefficient +.>Wherein->Correction factor indicating a predetermined antibacterial property compliance factor, +.>Representing the number of graphene filled mattresses in the fourth sample set of target mattresses>Representing the number of samples in the graphene filled mattress in the fourth sample set of the target mattress, +.>Represents the number of sampling time points, +.>Indicating the%>Target mattress fourth sample set +.>The>Colony number of individual sample surfaces, +.>Representing natural constants.
Compared with the prior art, the quality detection and analysis method for the finished product of the graphene filled mattress has the following beneficial effects: 1. according to the invention, the graphene content of the graphene filling mattress is detected, so that the quality of the graphene filling mattress meets the standard, and more comfortable and healthy sleeping experience is provided for consumers.
2. According to the invention, the heat conduction performance of the graphene filled mattress is detected, so that the heat conduction performance of the graphene filled mattress is fully exerted, the temperature of a human body is effectively balanced, and the sleeping is more comfortable.
3. According to the invention, the conductivity of the graphene filled mattress is detected, so that the conductivity of the graphene filled mattress is fully exerted, the temperature regulation of the surface of the mattress is accelerated, and the response speed of the mattress is improved.
4. According to the invention, the antibacterial performance of the graphene filled mattress is detected, so that the antibacterial performance of the graphene filled mattress is fully exerted, bacterial reproduction is effectively inhibited, and the cleanness and sanitation of the mattress are maintained.
5. According to the invention, the production quality of the graphene filling mattress is comprehensively evaluated from various indexes such as the graphene content, the heat conduction performance, the electric conduction performance and the antibacterial performance, the reliability of the evaluation result of the production quality of the graphene filling mattress is improved, and further, the unique functions such as heat conduction, electric conduction and antibacterial performance of the graphene filling mattress are ensured to be fully exerted, so that better sleeping experience is provided for consumers, and the reputation and public praise of manufacturers are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of 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 that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the method for detecting and analyzing the quality of a finished product of a graphene filled mattress provided by the invention comprises the following steps: step one, sampling a finished graphene filling mattress: extracting a set number of graphene filling mattresses from the finished graphene filling mattresses of the current production batch of the target graphene filling mattress manufacturer to obtain a graphene filling mattress sample set, marking the graphene filling mattress sample set as a target mattress sample set, and dividing the target mattress sample set to obtain a first sample set, a second sample set, a third sample set and a fourth sample set of the target mattress.
As a preferred scheme, the specific analysis process of the first step is as follows: and extracting a set number of graphene filling mattresses from the finished graphene filling mattresses in the current production batch of the target graphene filling mattress manufacturer according to a preset sampling principle to obtain a graphene filling mattress sample set, and marking the graphene filling mattress sample set as the target mattress sample set.
Dividing the target mattress sample set according to a preset equal number principle to obtain a first, a second, a third and a fourth sample sets of the target mattress.
In one particular embodiment, the finished graphene filled mattresses of the current production lot are sampled according to a random sampling principle.
Step two, detecting the graphene content of the graphene filling mattress: and detecting the graphene content of each graphene filling mattress in the first sample set of the target mattress, and obtaining the graphene content coincidence coefficient of the first sample set of the target mattress.
As a preferred scheme, the specific analysis process of the second step includes: the method comprises the steps of obtaining graphene foam layers of graphene filling mattresses in a first sample set of a target mattress, dividing the graphene foam layers of the graphene filling mattresses in the first sample set of the target mattress according to a preset grid dividing principle, and obtaining all subregions of the graphene foam layers of the graphene filling mattresses in the first sample set of the target mattress.
Cutting out samples with set sizes in each sub-area of the graphene foam layer of each graphene filling mattress in the first sample set of the target mattress to obtain each sample of each graphene filling mattress in the first sample set of the target mattress.
And sequentially placing all samples of the graphene filling mattresses in the first sample set of the target mattress on a sample table of a Raman spectrometer, setting the laser wavelength and the laser power of the Raman spectrometer, and obtaining Raman spectrograms of all samples in all the graphene filling mattresses in the first sample set of the target mattress.
Obtaining peak position, peak area and peak shape of Raman spectrum of each sample in each graphene filling mattress in the target mattress first sample set, further obtaining distribution area, content and purity of graphene on each sample surface in each graphene filling mattress in the target mattress first sample set, and respectively marking the distribution area, content and purity as，/>Representing a target mattress firstSample set->Numbering of the individual graphene filled mattresses, +.>，/>Representing the first sample of the target mattress concentrated graphene filled mattress +.>Number of each sample,/->。
The size of the graphene-filled mattress sample in the first sample set of the target mattress ranges from several millimeters to several centimeters.
The laser wavelength and laser power of the raman spectrometer were set according to the characteristics of the graphene-filled mattress sample.
It should be noted that, the peak position of the raman spectrum can determine the existence of graphene and the characteristics of the structure thereof; the peak area may reflect the content and concentration of graphene; the peak shape may provide information about the structure of the graphene, evaluating the purity of the graphene.
It should be noted that, information about existence, content, quality, structure and the like of the graphene sample is obtained through peak positions, peak areas and peak shapes of the raman spectrograms, and is a relatively mature technology in the prior art, and details are not repeated here.
The raman spectrum analysis is a method for nondestructively detecting the content of graphene in a graphene filled mattress, and is a technology for analyzing a sample based on the raman scattering effect in scattered light of a graphene sample.
It should be noted that the graphene content in the graphene filled mattress can also be detected by thermogravimetric analysis, atomic force microscopy, scanning electron microscopy or transmission electron microscopy.
As a preferred scheme, the specific analysis process of the second step further includes: by analysis of formulasObtaining graphene content of a first sample set of a target mattress according to a coefficient +.>Wherein->Correction factor indicating the predetermined graphene content compliance factor, +.>Representing the number of graphene filled mattresses in the target mattress first sample set,/->Representing the number of samples in the graphene filled mattress in the first sample set of the target mattress, +.>Respectively representing the reference distribution area, the reference content and the reference purity of the graphene on the surface of the preset sample,and respectively representing deviation thresholds of the distribution area, the content and the purity of the graphene on the surface of the preset sample.
In the embodiment, the graphene content of the graphene filling mattress is detected, so that the quality of the graphene filling mattress meets the standard, and more comfortable and healthy sleeping experience is provided for consumers.
Step three, detecting the heat conduction performance of the graphene filled mattress: and detecting the heat conduction performance of each graphene filling mattress in the second sample set of the target mattress, and obtaining the heat conduction performance coincidence coefficient of the second sample set of the target mattress.
As a preferred scheme, the specific analysis process of the third step includes: and acquiring each sample of each graphene filling mattress in the second sample set of the target mattress, and setting a heating side and a temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress.
Setting the heating temperature and heating time of a heat source, heating the heating side of each sample in each graphene filling mattress in the second sample set of the target mattress, measuring the temperature of the temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress through a temperature sensor, further obtaining the temperature difference between the heating side and the temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress, and marking the temperature difference as the temperature difference between the heating side and the temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress，/>Representing the second sample set of the target mattress +.>Numbering of the individual graphene filled mattresses, +.>，/>Representing the first part of the target mattress in the graphene filled mattress in the second sample set>Number of each sample,/->。
The method for obtaining each sample of each graphene filled mattress in the second sample set of the target mattress is the same as the method for obtaining each sample of each graphene filled mattress in the first sample set of the target mattress, and the principle is the same.
As a preferred embodiment, the specific analysis process in the third step further includes: by analysis of formulasObtaining the heat conduction performance of the second sample set of the target mattress to meet the coefficient +.>Wherein->Correction factor representing a predetermined thermal conductivity compliance factor,/->Representing natural constant->Representing the number of graphene filled mattresses in the second sample set of target mattresses,/->Representing the number of samples in the graphene filled mattress in the second sample set of the target mattress, +.>A threshold value representing a temperature difference between a heating side and a temperature measuring side of a pre-set graphene filled mattress sample.
In the embodiment, the heat conduction performance of the graphene filling mattress is detected, so that the heat conduction performance of the graphene filling mattress is fully exerted, the temperature of a human body is effectively balanced, and the sleeping is more comfortable.
Fourth, detecting the conductivity of the graphene filling mattress: conducting performance detection is conducted on each graphene filling mattress in the third sample set of the target mattress, and the conducting performance coincidence coefficient of the third sample set of the target mattress is obtained.
As a preferred embodiment, the specific analysis process in the fourth step includes: obtaining each sample of each graphene filling mattress in the third sample set of the target mattress, applying a set constant voltage to each sample of each graphene filling mattress in the third sample set of the target mattress according to a preset principle, and measuring the third sample passing through the target mattress by using an ammeterThe current of each sample in each graphene filling mattress in the product set is further calculated according to an ohm law, the resistance of each sample in each graphene filling mattress in the third sample set of the target mattress is obtained through an ohm law calculation formula, and the resistance is recorded as，/>Representing the third sample set of the target mattress +.>Numbering of the individual graphene filled mattresses, +.>，/>Representing the third sample of the target mattress concentrating graphene filled mattress +.>Number of each sample,/->。
The method for obtaining each sample of each graphene filled mattress in the third sample set of the target mattress is the same as the method for obtaining each sample of each graphene filled mattress in the first sample set of the target mattress, and the principle is the same.
As a preferred embodiment, the specific analysis process in the fourth step further includes: by analysis of formulasObtaining the conductivity of the third sample set of the target mattress to meet the coefficient +.>Wherein->Correction factor indicating preset conductivity compliance coefficientSon (S)/(S)>Representing the number of graphene filled mattresses in the third sample set of target mattresses>Representing the number of samples in the graphene filled mattress in the third sample set of the target mattress, +.>And representing a preset resistance threshold of the graphene filled mattress sample.
The material with better conductivity has smaller resistance; conversely, materials with poor conductivity have a relatively high electrical resistance.
In the embodiment, the conductivity of the graphene filled mattress is detected, so that the conductivity of the graphene filled mattress is fully exerted, the temperature adjustment of the surface of the mattress is accelerated, and the response speed of the mattress is improved.
Step five, detecting the antibacterial property of the graphene filling mattress: and detecting the antibacterial performance of each graphene filling mattress in the fourth sample set of the target mattress, and obtaining the antibacterial performance coincidence coefficient of the fourth sample set of the target mattress.
As a preferred embodiment, the specific analysis process in the fifth step includes: obtaining samples of each graphene filling mattress in a fourth sample set of a target mattress, contacting each sample of each graphene filling mattress in the fourth sample set of the target mattress with a set strain according to a preset principle for a set period of time, setting the period of an observation period, setting each sampling time point in the observation period according to a preset equal time interval principle, obtaining the colony number of each sample surface in each graphene filling mattress in the fourth sample set of the target mattress at each sampling time point in the observation period, and marking the colony number as，/>Indicate->Number of the sampling time points, +.>，/>Representing the fourth sample set of the target mattress +.>Numbering of the individual graphene filled mattresses, +.>，/>Representing the fourth sample set of the target mattress graphene filled mattress +.>Number of each sample,/->。
The method for obtaining each sample of each graphene filled mattress in the fourth sample set of the target mattress is the same as the method for obtaining each sample of each graphene filled mattress in the first sample set of the target mattress, and the principle is the same.
As a preferred embodiment, the specific analysis process in the fifth step further includes: by analysis of formulasObtaining the antibacterial performance coincidence coefficient of the fourth sample set of the target mattressWherein->Correction factor indicating a predetermined antibacterial property compliance factor, +.>Representing the number of graphene filled mattresses in the fourth sample set of target mattresses>Representing the number of samples in the graphene filled mattress in the fourth sample set of the target mattress, +.>Represents the number of sampling time points, +.>Indicating the%>Target mattress fourth sample set +.>The>Colony number of individual sample surfaces, +.>Representing natural constants.
In the embodiment, the antibacterial performance of the graphene filled mattress is fully exerted by detecting the antibacterial performance of the graphene filled mattress, so that bacterial reproduction is effectively inhibited, and the cleanness and the sanitation of the mattress are maintained.
Step six, evaluating production quality of the graphene filling mattress: and analyzing the quality evaluation index of the finished graphene filling mattress of the current production batch according to the graphene content conforming coefficient of the first sample set, the heat conduction performance conforming coefficient of the second sample set, the electric conduction performance conforming coefficient of the third sample set and the antibacterial performance conforming coefficient of the fourth sample set of the target mattress, and feeding back.
The specific analysis process in the sixth step is as follows: and taking the graphene content coincidence coefficient of the first sample set, the heat conduction property coincidence coefficient of the second sample set, the electric conduction property coincidence coefficient of the third sample set and the antibacterial property coincidence coefficient of the fourth sample set of the target mattress as the graphene content coincidence coefficient, the heat conduction property coincidence coefficient, the electric conduction property coincidence coefficient and the antibacterial property coincidence coefficient of the target mattress sample set.
And carrying out weighted average calculation on the graphene content coincidence coefficient, the heat conductivity coincidence coefficient, the electric conductivity coincidence coefficient and the antibacterial property coincidence coefficient of the target mattress sample set to obtain a quality evaluation index of the target mattress sample set.
And taking the quality evaluation index of the target mattress sample set as the quality evaluation index of the finished graphene filling mattress of the current production batch, and feeding back to a production management department of a target graphene filling mattress manufacturer.
The weight of the graphene content conforming coefficient, the heat conductivity conforming coefficient, the electric conductivity conforming coefficient and the antibacterial property conforming coefficient is set as a set value and the accumulated value is 1.
In the embodiment, the production quality of the graphene filling mattress is comprehensively evaluated from various indexes such as the graphene content, the heat conduction performance, the electric conduction performance and the antibacterial performance, the reliability of the production quality evaluation result of the graphene filling mattress is improved, and further, the unique functions such as heat conduction, electric conduction and antibacterial performance of the graphene filling mattress are ensured to be fully exerted, so that better sleeping experience is provided for consumers, and the reputation and the public praise of manufacturers are improved.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. The quality detection and analysis method for the finished product of the graphene filled mattress is characterized by comprising the following steps of:
step one, sampling a finished graphene filling mattress: extracting a set number of graphene filling mattresses from a finished graphene filling mattress of a current production batch of a target graphene filling mattress manufacturer to obtain a graphene filling mattress sample set, marking the graphene filling mattress sample set as a target mattress sample set, and dividing the target mattress sample set to obtain a first sample set, a second sample set, a third sample set and a fourth sample set of the target mattress;
step two, detecting the graphene content of the graphene filling mattress: carrying out graphene content detection on each graphene filling mattress in a first sample set of a target mattress to obtain a graphene content coincidence coefficient of the first sample set of the target mattress;
step three, detecting the heat conduction performance of the graphene filled mattress: carrying out heat conduction performance detection on each graphene filling mattress in the second sample set of the target mattress to obtain a heat conduction performance coincidence coefficient of the second sample set of the target mattress;
the specific analysis process of the third step comprises the following steps:
obtaining each sample of each graphene filling mattress in a second sample set of the target mattress, and setting a heating side and a temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress;
setting the heating temperature and heating time of a heat source, heating the heating side of each sample in each graphene filling mattress in the second sample set of the target mattress, measuring the temperature of the temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress through a temperature sensor, further obtaining the temperature difference between the heating side and the temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress, and marking the temperature difference as the temperature difference between the heating side and the temperature measuring side of each sample in each graphene filling mattress in the second sample set of the target mattress，/>Representing the second sample set of the target mattress +.>Numbering of the individual graphene filled mattresses, +.>，/>Representing the first part of the target mattress in the graphene filled mattress in the second sample set>Number of each sample,/->；
The specific analysis process in the third step further comprises the following steps:
by analysis of formulasObtaining the heat conduction performance of the second sample set of the target mattress to meet the coefficient +.>Wherein->Correction factor representing a predetermined thermal conductivity compliance factor,/->Representing natural constant->Representing the number of graphene filled mattresses in the second sample set of target mattresses,/->Representing the number of samples in the graphene filled mattress in the second sample set of the target mattress, +.>A threshold value representing a temperature difference between a heating side and a temperature measuring side of a preset graphene-filled mattress sample;
fourth, detecting the conductivity of the graphene filling mattress: conducting performance detection is conducted on each graphene filling mattress in the third sample set of the target mattress, and the conducting performance coincidence coefficient of the third sample set of the target mattress is obtained;
step five, detecting the antibacterial property of the graphene filling mattress: performing antibacterial performance detection on each graphene filling mattress in a fourth sample set of the target mattress to obtain an antibacterial performance coincidence coefficient of the fourth sample set of the target mattress;
step six, evaluating production quality of the graphene filling mattress: and analyzing the quality evaluation index of the finished graphene filling mattress of the current production batch according to the graphene content conforming coefficient of the first sample set, the heat conduction performance conforming coefficient of the second sample set, the electric conduction performance conforming coefficient of the third sample set and the antibacterial performance conforming coefficient of the fourth sample set of the target mattress, and feeding back.
2. The method for detecting and analyzing the quality of finished products produced by the graphene filled mattress according to claim 1, which is characterized by comprising the following steps of: the specific analysis process of the first step is as follows:
extracting a set number of graphene filling mattresses from the finished graphene filling mattresses in the current production batch of a target graphene filling mattress manufacturer according to a preset sampling principle to obtain a graphene filling mattress sample set, and marking the graphene filling mattress sample set as a target mattress sample set;
dividing the target mattress sample set according to a preset equal number principle to obtain a first, a second, a third and a fourth sample sets of the target mattress.
3. The method for detecting and analyzing the quality of finished products produced by the graphene filled mattress according to claim 1, which is characterized by comprising the following steps of: the specific analysis process of the second step comprises the following steps:
the method comprises the steps of obtaining graphene foam layers of graphene filling mattresses in a first sample set of a target mattress, and dividing the graphene foam layers of the graphene filling mattresses in the first sample set of the target mattress according to a preset grid dividing principle to obtain subareas of the graphene foam layers of the graphene filling mattresses in the first sample set of the target mattress;
cutting out samples with set sizes in each sub-area of the graphene foam layer of each graphene filling mattress in the first sample set of the target mattress to obtain each sample of each graphene filling mattress in the first sample set of the target mattress;
sequentially placing all samples of each graphene filling mattress in a first sample set of a target mattress on a sample table of a Raman spectrometer, setting laser wavelength and laser power of the Raman spectrometer, and obtaining Raman spectrograms of all samples in each graphene filling mattress in the first sample set of the target mattress;
obtaining peak position, peak area and peak shape of Raman spectrum of each sample in each graphene filling mattress in the target mattress first sample set, further obtaining distribution area, content and purity of graphene on each sample surface in each graphene filling mattress in the target mattress first sample set, and respectively marking the distribution area, content and purity as，/>Representing the first sample set of the target mattress +.>Numbering of the individual graphene filled mattresses, +.>，/>Representing the first sample of the target mattress concentrated graphene filled mattress +.>Number of each sample,/->。
4. The method for detecting and analyzing the quality of finished products produced by the graphene filled mattress according to claim 3, which is characterized by comprising the following steps of: the specific analysis process of the second step further comprises the following steps:
by analysis of formulasObtaining graphene content of a first sample set of a target mattress according to a coefficient +.>Wherein->Correction factor indicating the predetermined graphene content compliance factor, +.>Representing the number of graphene filled mattresses in the target mattress first sample set,/->Representing the number of samples in the graphene filled mattress in the first sample set of the target mattress, +.>Respectively representing the reference distribution area, the reference content and the reference purity of the graphene on the surface of the preset sample,/->And respectively representing deviation thresholds of the distribution area, the content and the purity of the graphene on the surface of the preset sample.
5. The method for detecting and analyzing the quality of finished products produced by the graphene filled mattress according to claim 3, which is characterized by comprising the following steps of: the specific analysis process of the fourth step comprises the following steps:
obtaining each sample of each graphene filling mattress in a third sample set of the target mattress according to the following steps ofApplying a preset constant voltage to each sample of each graphene filling mattress in the third sample set of the target mattress according to a preset principle, measuring the current of each sample in each graphene filling mattress in the third sample set of the target mattress through an ammeter, further obtaining the resistance of each sample in each graphene filling mattress in the third sample set of the target mattress through an ohm law calculation formula, and marking the resistance as the resistance of each sample in each graphene filling mattress in the third sample set of the target mattress，/>Representing the third sample set of the target mattress +.>Numbering of the individual graphene filled mattresses, +.>，/>Representing the third sample of the target mattress concentrating graphene filled mattress +.>Number of each sample,/->。
6. The method for detecting and analyzing the quality of finished products produced by the graphene filled mattress according to claim 5, which is characterized by comprising the following steps of: the specific analysis process in the fourth step further comprises:
by analysis of formulasObtaining the conductivity of the third sample set of the target mattress to meet the coefficient +.>Wherein->Correction factor representing preset conductivity compliance factor, < ->Representing the number of graphene filled mattresses in the third sample set of target mattresses>Representing the number of samples in the graphene filled mattress in the third sample set of the target mattress,and representing a preset resistance threshold of the graphene filled mattress sample.
7. The method for detecting and analyzing the quality of finished products produced by the graphene filled mattress according to claim 3, which is characterized by comprising the following steps of: the specific analysis process in the fifth step comprises the following steps:
obtaining samples of each graphene filling mattress in a fourth sample set of a target mattress, contacting each sample of each graphene filling mattress in the fourth sample set of the target mattress with a set strain according to a preset principle for a set period of time, setting the period of an observation period, setting each sampling time point in the observation period according to a preset equal time interval principle, obtaining the colony number of each sample surface in each graphene filling mattress in the fourth sample set of the target mattress at each sampling time point in the observation period, and marking the colony number as，/>Indicate->Number of the sampling time points, +.>，/>Representing the fourth sample set of the target mattress +.>Numbering of the individual graphene filled mattresses, +.>，/>Representing the fourth sample set of the target mattress graphene filled mattress +.>Number of each sample,/->。
8. The method for detecting and analyzing the quality of finished products produced by the graphene filled mattress according to claim 7, which is characterized in that: the specific analysis process in the fifth step further comprises:
by analysis of formulasObtaining the antibacterial performance of the fourth sample set of the target mattress to meet the coefficient +.>Wherein->Correction factor indicating a predetermined antibacterial property compliance factor, +.>Representing the number of graphene filled mattresses in the fourth sample set of target mattresses>Representing the number of samples in the graphene filled mattress in the fourth sample set of the target mattress, +.>Represents the number of sampling time points, +.>Indicating the%>Target mattress fourth sample set +.>The>Colony number of individual sample surfaces, +.>Representing natural constants.
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