CN115015082A - Industrial product quality monitoring analysis management system based on artificial intelligence - Google Patents
Industrial product quality monitoring analysis management system based on artificial intelligence Download PDFInfo
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- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 16
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- UHOVQNZJYSORNB-UHFFFAOYSA-N Benzene Chemical compound C1=CC=CC=C1 UHOVQNZJYSORNB-UHFFFAOYSA-N 0.000 claims description 69
- YXFVVABEGXRONW-UHFFFAOYSA-N Toluene Chemical compound CC1=CC=CC=C1 YXFVVABEGXRONW-UHFFFAOYSA-N 0.000 claims description 69
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- 229910021529 ammonia Inorganic materials 0.000 claims description 23
- 239000008096 xylene Substances 0.000 claims description 23
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Abstract
The invention discloses an artificial intelligence-based industrial product quality monitoring, analyzing and managing system which comprises an indoor monitoring area dividing module, an indoor monitoring equipment setting module, a gas environment monitoring and analyzing module, a waterproof performance monitoring and analyzing module, a plastic floor appearance quality analyzing module, a plastic floor defect displaying module and a cloud storage library. The apparent mass analysis module of the plastic floor is used for automatically monitoring and analyzing the apparent mass of each subarea to be monitored, so that the inaccuracy and the non-standardization of an analysis result caused by human eye recognition are avoided, the reliability of the analysis result is greatly improved, meanwhile, the comprehensive analysis is carried out from three aspects of the floor color matching degree, the floor surface integrity and the floor welding flatness corresponding to each subarea of the road surface to be monitored, the singleness and the one-sidedness of the apparent mass analysis result of the existing plastic floor are compensated, and the accuracy of the analysis result is greatly improved.
Description
Technical Field
The invention relates to the technical field of quality monitoring analysis, in particular to an industrial product quality monitoring analysis management system based on artificial intelligence.
Background
With the increasing importance of people on health, consumers pay more and more attention to the environmental protection performance of building material products during decoration. The plastic floor is widely applied to various industries through a plurality of performance characteristics such as stain resistance, environmental protection, antibacterial property and the like, and the importance of the plastic floor on quality monitoring is self-evident.
At present, the quality monitoring of the plastic floor is only realized by shallow display in a human eye checking mode, the monitoring strength is not strong, the reference is poor, and the quality monitoring method is embodied in the following two aspects:
at present, when the waterproof performance of the plastic floor is monitored and analyzed, the flatness of the plastic floor is often measured in a manual mode, the method belongs to single-dimension monitoring, a large amount of human resources and material resources are consumed, the monitoring and analyzing cost is increased, the analysis result is easy to have one-sidedness and error, more importantly, the waterproof performance of the plastic floor is not analyzed from multiple aspects, the scientific basis and the rigor of the analysis result are greatly reduced, and the reliability of the analysis result is reduced.
When the apparent quality of the plastic floor is monitored and analyzed at present, on one hand, due to limitation and subjectivity of a human eye recognition mode, a monitoring area is incomplete easily, accuracy of an analysis result is affected, and reliability of the analysis result is also affected; on the other hand, the dimension of monitoring the apparent quality of the plastic floor is too single, the analysis basis is not strong in representativeness, the rationality of the analysis result is not enough, and meanwhile, powerful data support cannot be provided for the defect display of the subsequent plastic floor, so that the living comfort of consumers is greatly influenced.
Disclosure of Invention
In order to overcome the defects in the background art, the embodiment of the invention provides an industrial product quality monitoring, analyzing and managing system based on artificial intelligence, which can effectively solve the problems related to the background art.
The purpose of the invention can be realized by the following technical scheme:
an artificial intelligence based industrial product quality monitoring analysis management system, comprising:
the indoor monitoring area dividing module is used for uniformly dividing the indoor plastic floor according to a grid dividing mode to obtain each subarea to be monitored, and the subareas are sequentially numbered as 1,2, a.
The indoor monitoring equipment setting module is used for setting monitoring equipment in each sub-area to be monitored, and the monitoring equipment comprises a five-in-one monitor, a densimeter, a hardness measuring instrument and a high-definition camera;
the gas environment monitoring and analyzing module is used for monitoring and analyzing the gas environment corresponding to each sub-area to be monitored, so that the gas danger index corresponding to each sub-area to be monitored is obtained;
the waterproof performance monitoring and analyzing module is used for monitoring and analyzing the waterproof performance corresponding to each subarea to be monitored, so that a waterproof performance qualified index corresponding to each subarea to be monitored is obtained;
the plastic floor apparent mass analysis module is used for analyzing the apparent mass corresponding to each subarea to be monitored so as to obtain an apparent mass standard index corresponding to each subarea to be monitored, and comprises a floor color matching degree analysis unit, a floor surface integrity degree analysis unit, a floor welding flatness analysis unit and a floor comprehensive apparent mass analysis unit;
the plastic floor defect analysis module is used for carrying out defect analysis on the indoor plastic floor based on the gas danger index, the waterproof performance qualified index and the apparent quality standard index corresponding to each subarea to be monitored, and obtaining a defect area;
the plastic floor defect display module is used for displaying corresponding defects based on the defect area;
the cloud storage library is used for storing allowable formaldehyde content, allowable benzene content, allowable ammonia content, allowable toluene content and allowable xylene content corresponding to unit space volume, storing influence factors corresponding to various floor materials, storing recommended density, recommended hardness and recommended flatness corresponding to the plastic floor, storing standard floors corresponding to indoor plastic floors, storing allowable hollowing height, allowable wrinkle area and allowable grinding mark length corresponding to the plastic floors, storing gas danger thresholds, storing qualified waterproof performance thresholds corresponding to the plastic floors and storing qualified apparent quality thresholds corresponding to the plastic floors.
Preferably, the gas environment corresponding to each sub-region to be monitored is analyzed, and the specific analysis is as follows:
collecting the formaldehyde content, the benzene content, the ammonia content, the toluene content and the xylene content in each sub-area to be monitored by a five-in-one monitor;
the method comprises the steps that the space volume corresponding to each subregion to be monitored is obtained through an intelligent camera, and is matched with the allowable formaldehyde content, the allowable benzene content, the allowable ammonia content, the allowable toluene content and the allowable xylene content corresponding to the unit space volume stored in a cloud storage, so that the allowable formaldehyde content, the allowable benzene content, the allowable ammonia content, the allowable toluene content and the allowable xylene content corresponding to each subregion to be monitored are obtained;
and comparing the formaldehyde content, the benzene content, the ammonia content, the toluene content and the xylene content in each subarea to be monitored with the corresponding allowable formaldehyde content, allowable benzene content, allowable ammonia content, allowable toluene content and allowable xylene content to obtain the gas risk index corresponding to each subarea to be monitored.
Preferably, the waterproof performance corresponding to each sub-region to be monitored is analyzed, and the specific analysis is as follows:
measuring the density corresponding to each sub-area to be monitored by a densimeter;
measuring the hardness corresponding to each sub-area to be monitored by a hardness measuring instrument;
acquiring floor materials corresponding to the plastic floor, and matching the floor materials with the influence factors corresponding to various floor materials stored in the cloud storage library to obtain the influence factors corresponding to the plastic floor;
uniformly distributing detection points on each subarea to be monitored, acquiring the vertical distance between each detection point in each subarea to be monitored and a preset reference plane, and screening out the maximum vertical distance and the minimum vertical distance;
calculating the flatness corresponding to each sub-region to be monitored based on the maximum vertical distance and the minimum vertical distance corresponding to each sub-region to be monitored, and specifically calculating the flatnessIs given by the formula
pz i Expressed as the flatness corresponding to the ith sub-region to be monitored,
and
respectively expressed as the maximum vertical distance and the minimum vertical distance corresponding to the ith sub-area to be monitored,
the average vertical distance corresponding to the ith sub-region to be monitored is expressed;
integrating the density, hardness and flatness corresponding to each subarea to be monitored and the influence factors corresponding to the plastic floor to obtain the qualified waterproof performance index corresponding to each subarea to be monitored, wherein the specific calculation formula is
η i Expressed as the qualified index of waterproof performance, md, corresponding to the ith subarea to be monitored i Expressed as the density, yd, corresponding to the ith subregion to be monitored i Expressed as the hardness, pz, corresponding to the ith sub-region to be monitored i The flatness is expressed as the flatness corresponding to the ith sub-area to be monitored, gamma is expressed as an influence factor corresponding to the plastic floor, md ', yd ' and pz ' are respectively expressed as recommended density, recommended hardness and recommended flatness corresponding to the plastic floor, and a1, a2 and a3 are respectively expressed as correction coefficients corresponding to preset density values, hardness values and flatness.
Preferably, the floor color matching degree analyzing unit is configured to analyze the color matching degree corresponding to each sub-region to be monitored, and the specific analysis is as follows:
extracting the chromaticity corresponding to each sub-region to be monitored, dividing the standard floor corresponding to the indoor plastic floor according to the same dividing mode to obtain each sub-region of the standard floor, numbering the sub-regions according to the same numbering sequence as 1 ', 2',. i ',. n', and further extracting the standard chromaticity corresponding to each sub-region of the standard floor from the standard floor corresponding to the indoor plastic floor;
according to the formula
Calculating color coincidence coefficient, PS, corresponding to each sub-region to be monitored i Expressed as the color coincidence coefficient, sd, corresponding to the ith sub-region to be monitored i Expressed as the chromaticity corresponding to the ith sub-region to be monitored,
expressing the standard chromaticity corresponding to the ith' standard floor sub-area;
uniformly distributing detection points on each subarea to be monitored, simultaneously extracting chromatic values corresponding to the detection points in each subarea to be monitored, and screening out the maximum chromatic value and the minimum chromatic value;
according to the formula
Calculating the color distribution uniformity coefficient, JY, corresponding to each sub-region to be monitored i Expressed as the color distribution uniformity coefficient corresponding to the ith sub-area to be monitored,
expressed as the maximum chromaticity value corresponding to the ith sub-region to be monitored,
expressed as the minimum colorimetric value corresponding to the ith sub-region to be monitored,
the average chroma value is expressed as the average chroma value corresponding to the ith sub-area to be monitored;
the color conformity coefficient and the color distribution uniformity coefficient corresponding to each subregion to be monitored are integrated, and the color matching degree corresponding to each subregion to be monitored is calculated, and the color matching degree hasThe volume calculation formula is
ε i The color matching degree corresponding to the ith sub-region to be monitored is represented, and b1 and b2 are respectively represented as correction coefficients corresponding to preset color matching coefficients and color distribution uniformity coefficients.
Preferably, the floor surface integrity analysis unit is configured to analyze the surface integrity corresponding to each sub-area to be monitored, and the specific analysis is as follows:
counting the number of hollows, the number of folds and the number of grinding marks in each subarea to be monitored by a high-definition camera, and simultaneously acquiring the height of the hollows, the fold area and the length of the grinding marks at each fold, which correspond to each hollow drum, of each subarea to be monitored;
integrating the empty drum height of each empty drum corresponding to each sub-region to be monitored, the wrinkle area of each wrinkle, the grinding crack length of each grinding crack and the defect area of each defect, and calculating the surface integrity corresponding to each sub-region to be monitored, wherein the specific calculation formula is
Expressed as the surface integrity corresponding to the ith sub-region to be monitored,
the number of the ith sub-area to be monitored is expressed as the empty drum height at the k-th empty drum, k is the number of the empty drum, k is 1,2, g, g is expressed as the number of the empty drum,
the fold area of the ith sub-area to be monitored corresponding to the p-th fold is expressed, p is the number of the fold, p is 1,2, q, q is the number of the fold,
the wear mark length of the ith sub-area to be monitored corresponding to the r-th wear mark is expressed, r is the number of the wear mark, r is 1,2, the.. j, j is the number of the wear mark, h ', s ' and l ' are respectively expressed as the allowable empty drum height, the allowable wrinkle area and the allowable wear mark length corresponding to the plastic floor, and c1, c2 and c3 are respectively expressed as the correction coefficients corresponding to the preset empty drum height, wrinkle area and wear mark length.
Preferably, the floor welding flatness analysis unit is configured to analyze the welding flatness corresponding to each sub-area to be monitored, and the specific analysis is as follows:
uniformly distributing detection points in the welding joints corresponding to the sub-areas to be monitored, simultaneously acquiring the distance between each detection point in the welding joints corresponding to the sub-areas to be monitored and a preset reference horizontal plane, recording the distance as a horizontal distance, and simultaneously screening out the maximum horizontal distance and the minimum horizontal distance;
obtaining the thickness of the welding joint of each detection point in the welding joint corresponding to each sub-area to be monitored, and screening out the maximum thickness and the minimum thickness;
according to the formula
Calculating the welding flatness sigma corresponding to each subarea to be monitored i Expressed as the weld flatness corresponding to the ith sub-region to be monitored,
and
respectively expressed as the maximum thickness and the minimum thickness of the welded joint corresponding to the ith subarea to be monitored,
and
respectively expressed as the maximum water in the corresponding welded joint of the ith subarea to be monitoredThe horizontal distance and the minimum horizontal distance, hd 'and jl' are respectively expressed as preset welding seam allowable thickness and allowable horizontal distance, and e1 and e2 are respectively expressed as weight factors corresponding to the preset welding seam thickness and the welding seam horizontal distance.
Preferably, the floor comprehensive apparent mass analysis unit is used for calculating the apparent mass standard index corresponding to each subarea to be monitored, and the specific calculation formula is
Expressed as the index of reaching the standard of the apparent mass corresponding to the ith sub-region to be monitored, and d1, d2 and d3 are respectively expressed as the influence factors corresponding to the preset color matching degree, surface integrity and welding flatness.
Preferably, the defect analysis of the indoor plastic floor is specifically as follows:
comparing the gas danger index corresponding to each subarea to be monitored with a gas danger threshold stored in a cloud storage library, if the gas danger index corresponding to a certain subarea to be monitored is greater than the gas danger threshold, marking the subarea to be monitored as a gas danger area, and extracting a number corresponding to the gas danger area;
comparing the qualified waterproof performance index corresponding to each subarea to be monitored with a qualified waterproof performance threshold stored in a cloud storage library, if the qualified waterproof performance index corresponding to a certain subarea to be monitored is smaller than the qualified waterproof performance threshold, marking the subarea to be monitored as an unqualified waterproof area, and extracting the number corresponding to the unqualified waterproof dangerous area;
and comparing the apparent mass standard index corresponding to each subarea to be monitored with an apparent mass standard threshold stored in the cloud storage, and if the apparent mass standard index corresponding to a certain subarea to be monitored is smaller than the apparent mass standard threshold, marking the subarea to be monitored as an area with unqualified apparent mass, and extracting the number corresponding to the area with unqualified apparent mass.
Preferably, the defect regions include gas hazard regions, water repellency failure regions, and apparent mass failure regions.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
according to the invention, the plastic floor is divided into the sub-areas to be monitored, and the sub-areas to be monitored are subjected to targeted analysis, so that the conditions that the floor waterproof performance is poor, the floor apparent quality is not in accordance with the standard or the gas risk index is too high in the sub-areas to be monitored are avoided, meanwhile, the defects in the sub-areas to be monitored can be subjected to targeted analysis, and targeted defect display is performed, so that the tracing and processing of related personnel to the defect areas are facilitated, the difficulty in defect processing is reduced to a great extent, and the utilization rate of the plastic floor is greatly improved.
According to the invention, the waterproof performance monitoring and analyzing module is used for automatically monitoring and analyzing the waterproof performance of each subarea to be monitored, so that errors caused by manual measurement of the flatness of the plastic floor are avoided, meanwhile, the consumption of human resources and material resources is effectively reduced, the monitoring and analyzing cost is reduced, the accuracy of an analysis result is greatly improved, the errors existing in the current monitoring mode are weakened to the greatest extent, more importantly, the waterproof performance monitoring and analyzing are carried out through the density, hardness and flatness corresponding to each subarea to be monitored and the influence factors corresponding to the plastic floor, the limitation of the current single-dimensional monitoring and analyzing is broken, the scientific basis and the rigidness of an analysis result are greatly improved, and the analysis result has higher reliability.
According to the invention, the apparent mass of each subarea to be monitored is automatically monitored and analyzed by the plastic floor apparent mass analysis module, so that the inaccuracy and the non-standardization of an analysis result caused by human eye recognition are avoided, the reliability of the analysis result is greatly improved, meanwhile, the comprehensive analysis is carried out from three aspects of the floor color matching degree, the floor surface integrity and the floor welding flatness corresponding to each subarea of the road surface to be monitored, the unicity and the one-sidedness of the apparent mass analysis result of the current plastic floor are compensated, the accuracy of the analysis result is greatly improved, and a powerful data support is provided for the defect display of the subsequent plastic floor, so that the living use feeling of consumers is greatly improved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic diagram of the system module connection according to the present invention.
FIG. 2 is a schematic connection diagram of the apparent mass analysis module of the plastic floor according to 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.
Referring to fig. 1, the invention provides an artificial intelligence-based industrial product quality monitoring, analyzing and managing system, which comprises an indoor monitoring area dividing module, an indoor monitoring equipment setting module, a gas environment monitoring and analyzing module, a waterproof performance monitoring and analyzing module, a plastic floor apparent mass analyzing module, a plastic floor defect displaying module and a cloud storage library.
Indoor monitoring area divides module and indoor monitoring facilities to set up the module and connects, indoor monitoring facilities sets up the module respectively with gas environment monitoring analysis module, waterproof nature can monitoring analysis module and plastic floor apparent mass analysis module connection, gas environment monitoring analysis module, waterproof nature can monitoring analysis module, plastic floor apparent mass analysis module and plastic floor defect analysis module all are connected with plastic floor defect analysis module, plastic floor defect analysis module and plastic floor defect display module are connected, cloud storehouse respectively with gas environment monitoring analysis module, waterproof nature can monitoring analysis module, plastic floor apparent mass analysis module and plastic floor defect analysis module connection.
And the indoor monitoring area dividing module is used for uniformly dividing the indoor plastic floor according to a grid dividing mode to obtain each subarea to be monitored, and the subareas are sequentially numbered as 1,2, a.
According to the invention, the plastic floor is divided into the sub-areas to be monitored, and the sub-areas to be monitored are subjected to targeted analysis, so that the conditions that the floor waterproof performance is poor, the floor apparent quality is not in accordance with the standard or the gas risk index is too high in the sub-areas to be monitored are avoided, meanwhile, the defects in the sub-areas to be monitored can be subjected to targeted analysis, and targeted defect display is performed, so that the tracing and processing of related personnel to the defect areas are facilitated, the difficulty in defect processing is reduced to a great extent, and the utilization rate of the plastic floor is greatly improved.
Indoor monitoring facilities sets up the module for set up monitoring facilities in each is treated the monitoring sub-regional, monitoring facilities includes five unification monitors, densimeter, hardness measuring apparatu and high definition digtal camera.
The five-in-one monitor can rapidly detect indoor formaldehyde, benzene, ammonia, toluene, xylene and other polluted gases, the formaldehyde detection adopts a national standard phenol reagent spectrophotometry, an imported photoelectric sensor is used, the detection precision is high, the detection lower limit is low, and the defects that the sensor of the electrochemical formaldehyde detector is easy to drift at zero point and is easy to be interfered by other chemical gases during sampling are overcome.
And the gas environment monitoring and analyzing module is used for monitoring and analyzing the gas environment corresponding to each sub-area to be monitored, so that the gas danger index corresponding to each sub-area to be monitored is obtained.
Preferably, the gas environment corresponding to each sub-region to be monitored is analyzed, and the specific analysis is as follows:
and acquiring the formaldehyde content, the benzene content, the ammonia content, the toluene content and the xylene content in each sub-area to be monitored by a five-in-one monitor.
The space volume corresponding to each sub-region to be monitored is obtained through the intelligent camera, and is matched with the allowable formaldehyde content, the allowable benzene content, the allowable ammonia content, the allowable toluene content and the allowable xylene content corresponding to the unit space volume stored in the cloud storage, so that the allowable formaldehyde content, the allowable benzene content, the allowable ammonia content, the allowable toluene content and the allowable xylene content corresponding to each sub-region to be monitored are obtained.
It should be noted that the allowable formaldehyde content, the allowable benzene content, the allowable ammonia content, the allowable toluene content and the allowable xylene content corresponding to different spatial volumes are different from each other, and therefore, the spatial volume corresponding to each sub-region to be monitored needs to be acquired.
And comparing the formaldehyde content, the benzene content, the ammonia content, the toluene content and the xylene content in each subarea to be monitored with the corresponding allowable formaldehyde content, allowable benzene content, allowable ammonia content, allowable toluene content and allowable xylene content to obtain the gas risk index corresponding to each subarea to be monitored.
As a further optimization of the invention, the gas risk index corresponding to each sub-area to be monitored is calculated, and the specific calculation formula is
φ i Expressed as the gas hazard index, jq, corresponding to the ith sub-region to be monitored i 、bq i 、aq i 、yb i 、tb i Respectively expressed as the corresponding formaldehyde content, benzene content, ammonia content, toluene content, xylene content, jq in each sub-area to be monitored i′ 、bq i′ 、aq i′ 、yb i′ 、tb i′ The weight factors are respectively expressed as the allowable formaldehyde content, the allowable benzene content, the allowable ammonia content, the allowable toluene content and the allowable xylene content corresponding to the ith area to be monitored, and alpha 1, alpha 2, alpha 3, alpha 4 and alpha 5 are respectively expressed as the weight factors corresponding to the preset formaldehyde content, benzene content, ammonia content, toluene content and xylene content.
And the waterproof performance monitoring and analyzing module is used for monitoring and analyzing the waterproof performance corresponding to each sub-area to be monitored, so that the qualified index of the waterproof performance corresponding to each sub-area to be monitored is obtained.
Optimally, the waterproof performance corresponding to each sub-area to be monitored is analyzed, and the specific analysis is as follows:
and measuring the density corresponding to each sub-area to be monitored by a densimeter.
The basic principle of densitometer measurement is to measure the degree of blackening, i.e., the degree of blackness, of a photosensitive material after exposure and development. During plate making, silver bromide on the photosensitive material is irradiated and reduced into metal silver after development to form certain light resistance. The blackness is high, and the density is high; low blackness and density.
And measuring the hardness corresponding to each sub-area to be monitored by a hardness measuring instrument.
And acquiring the floor material corresponding to the plastic floor, and matching the floor material with the influence factors corresponding to various floor materials stored in the cloud storage library to obtain the influence factors corresponding to the plastic floor.
And uniformly distributing detection points on each subarea to be monitored, acquiring the vertical distance between each detection point in each subarea to be monitored and a preset reference plane, and screening out the maximum vertical distance and the minimum vertical distance.
Calculating the flatness corresponding to each sub-region to be monitored based on the maximum vertical distance and the minimum vertical distance corresponding to each sub-region to be monitored, wherein the specific calculation formula is
pz i Expressed as the flatness corresponding to the ith sub-region to be monitored,
and
respectively expressed as the maximum vertical distance and the minimum vertical distance corresponding to the ith sub-area to be monitored,
expressed as the average vertical distance corresponding to the ith sub-region to be monitored.
Integrating the density, hardness and flatness corresponding to each subarea to be monitored and the influence factors corresponding to the plastic floor to obtain the qualified waterproof performance index corresponding to each subarea to be monitored, wherein the specific calculation formula is
η i Expressed as the qualified index of waterproof performance, md, corresponding to the ith subarea to be monitored i Expressed as the density, yd, corresponding to the ith subregion to be monitored i Expressed as the hardness, pz, corresponding to the ith sub-region to be monitored i The flatness is expressed as the flatness corresponding to the ith sub-area to be monitored, gamma is expressed as the influence factor corresponding to the plastic floor, md ', yd ' and pz ' are respectively expressed as the recommended density, recommended hardness and recommended flatness corresponding to the plastic floor, and a1, a2 and a3 are respectively expressed as the correction coefficients corresponding to the preset density value, hardness value and flatness.
According to the invention, the waterproof performance monitoring and analyzing module is used for automatically monitoring and analyzing the waterproof performance of each subarea to be monitored, so that errors caused by manual measurement of the flatness of the plastic floor are avoided, meanwhile, the consumption of human resources and material resources is effectively reduced, the monitoring and analyzing cost is reduced, the accuracy of an analysis result is greatly improved, the errors existing in the current monitoring mode are weakened to the greatest extent, more importantly, the waterproof performance monitoring and analyzing are carried out through the density, hardness and flatness corresponding to each subarea to be monitored and the influence factors corresponding to the plastic floor, the limitation of the current single-dimensional monitoring and analyzing is broken, the scientific basis and the rigidness of an analysis result are greatly improved, and the analysis result has higher reliability.
It should be noted that the qualified index of waterproof performance corresponding to the plastic floor is closely related to the corresponding density, hardness, flatness and floor material. The plastic floor board has different waterproof performance. The larger the corresponding density of the plastic floor is, the better the waterproof performance is. The smaller the difference between the corresponding hardness of the plastic floor and the recommended hardness, the better the waterproof performance. The larger the corresponding flatness of the plastic floor is, the better the waterproof performance is.
Referring to fig. 2, the plastic floor apparent mass analysis module is configured to analyze apparent masses corresponding to the sub-regions to be monitored, so as to obtain an apparent mass standard index corresponding to each sub-region to be monitored, where the plastic floor apparent mass analysis module includes a floor color matching degree analysis unit, a floor surface integrity degree analysis unit, a floor welding flatness analysis unit, and a floor comprehensive apparent mass analysis unit.
Preferably, the floor color matching degree analyzing unit is configured to analyze the color matching degree corresponding to each sub-region to be monitored, and the specific analysis is as follows:
extracting the chromaticity corresponding to each sub-region to be monitored, dividing the standard floor corresponding to the indoor plastic floor according to the same dividing mode to obtain each sub-region of the standard floor, numbering the sub-regions according to the same numbering sequence as 1 ', 2',. i ',. n', and further extracting the standard chromaticity corresponding to each sub-region of the standard floor from the standard floor corresponding to the indoor plastic floor;
according to the formula
Calculating color coincidence coefficient, PS, corresponding to each sub-region to be monitored i Expressed as the color coincidence coefficient, sd, corresponding to the ith sub-region to be monitored i Expressed as the chromaticity corresponding to the ith sub-region to be monitored,
expressing the standard chromaticity corresponding to the ith' standard floor sub-area;
uniformly distributing detection points on each subarea to be monitored, simultaneously extracting chromatic values corresponding to the detection points in each subarea to be monitored, and screening out the maximum chromatic value and the minimum chromatic value;
according to the formula
Calculating the color distribution uniformity coefficient, JY, corresponding to each sub-region to be monitored i Expressed as the color distribution uniformity coefficient corresponding to the ith sub-area to be monitored,
expressed as the maximum chromaticity value corresponding to the ith sub-region to be monitored,
expressed as the minimum colorimetric value corresponding to the ith sub-region to be monitored,
the average chroma value is expressed as the average chroma value corresponding to the ith sub-area to be monitored;
synthesizing the color coincidence coefficient and the color distribution uniformity coefficient corresponding to each subregion to be monitored, and calculating the color matching degree corresponding to each subregion to be monitored, wherein the specific calculation formula is
ε i The color matching degree corresponding to the ith sub-region to be monitored is represented, and b1 and b2 are respectively represented as correction coefficients corresponding to preset color matching coefficients and color distribution uniformity coefficients.
It should be noted that the purpose of analyzing the color matching degree corresponding to each sub-region to be monitored is to identify whether the color of the floor corresponding to each sub-region to be monitored meets the specification, and the higher the color matching degree is, the more standard the apparent quality of the plastic floor is.
Preferably, the floor surface integrity analysis unit is configured to analyze the surface integrity corresponding to each sub-area to be monitored, and the specific analysis is as follows:
counting the number of hollows, the number of folds and the number of grinding marks in each subarea to be monitored by a high-definition camera, and simultaneously acquiring the height of the hollows, the fold area and the length of the grinding marks at each fold, which correspond to each hollow drum, of each subarea to be monitored;
it should be noted that the purpose of acquiring the hollowing height, the wrinkle area and the wear scar length of each hollow drum corresponding to each sub-region to be monitored is to identify the deficiency of the surface of the plastic floor, and further provide convenience for the subsequent analysis of the surface integrity corresponding to each sub-region to be monitored.
Integrating the empty drum height of each empty drum corresponding to each subarea to be monitored, the wrinkle area of each wrinkle, the grinding crack length of each grinding crack and the defect area of each defect, and calculating the surface integrity corresponding to each subarea to be monitored, wherein the specific calculation formula is
Expressed as the surface integrity corresponding to the ith sub-region to be monitored,
the number of the ith sub-area to be monitored is expressed as the empty drum height at the k-th empty drum, k is the number of the empty drum, k is 1,2, g, g is expressed as the number of the empty drum,
the fold area of the ith sub-area to be monitored corresponding to the p-th fold is expressed, p is the number of the fold, p is 1,2, q, q is the number of the fold,
the wear mark length of the ith sub-area to be monitored corresponding to the r-th wear mark is expressed, r is the number of the wear mark, r is 1,2, the.. j, j is the number of the wear mark, h ', s ' and l ' are respectively expressed as the allowable empty drum height, the allowable wrinkle area and the allowable wear mark length corresponding to the plastic floor, and c1, c2 and c3 are respectively expressed as the correction coefficients corresponding to the preset empty drum height, wrinkle area and wear mark length.
It should be noted that, the surface integrity corresponding to each sub-region to be monitored is analyzed, so as to identify whether a plastic floor corresponding to each sub-region to be monitored has a large defect, and if the surface integrity corresponding to a certain sub-region to be monitored is too small, the plastic floor corresponding to the sub-region to be monitored needs to be replaced in time.
Preferably, the floor welding flatness analysis unit is configured to analyze the welding flatness corresponding to each sub-area to be monitored, and the specific analysis is as follows:
uniformly distributing detection points in the welding joints corresponding to the sub-areas to be monitored, simultaneously acquiring the distance between each detection point in the welding joints corresponding to the sub-areas to be monitored and a preset reference horizontal plane, recording the distance as a horizontal distance, and simultaneously screening out the maximum horizontal distance and the minimum horizontal distance;
obtaining the thickness of the welding joint of each detection point in the welding joint corresponding to each sub-area to be monitored, and screening out the maximum thickness and the minimum thickness;
according to the formula
Calculating the welding flatness sigma corresponding to each subarea to be monitored i Expressed as the weld flatness corresponding to the ith sub-region to be monitored,
and
respectively expressed as the maximum thickness and the minimum thickness of the welded joint corresponding to the ith subarea to be monitored,
and
respectively expressed as the maximum horizontal distance and the minimum horizontal distance in the welding seam corresponding to the ith subarea to be monitored, hd 'and jl' respectively expressed as the allowable thickness and the allowable horizontal distance of the preset welding seam, e1,e2 represents the weight factors corresponding to the preset weld joint thickness and the weld joint horizontal distance respectively.
It should be noted that, the welding seams between the plastic floor boards must be strictly detected, once the welding seams between the plastic floor boards are welded insecurely, the welding seams will crack, stick up the edges and the like in the whole process of daily application, and therefore, the flatness of the middle of the welding seams and the consistent thickness of the welding seams must be ensured.
Preferably, the floor comprehensive apparent mass analysis unit is used for calculating the apparent mass standard index corresponding to each subarea to be monitored, and the specific calculation formula is
Expressed as the index of reaching the standard of the apparent mass corresponding to the ith sub-region to be monitored, and d1, d2 and d3 are respectively expressed as the influence factors corresponding to the preset color matching degree, surface integrity and welding flatness.
According to the invention, the apparent mass analysis module of the plastic floor is used for automatically monitoring and analyzing the apparent mass of each subarea to be monitored, so that the inaccuracy and the non-standardization of the analysis result caused by human eye recognition are avoided, the reliability of the analysis result is greatly improved, meanwhile, the comprehensive analysis is carried out from three aspects of the floor color matching degree, the floor surface integrity and the floor welding flatness corresponding to each subarea of the road surface to be monitored, the unicity and the one-sidedness of the apparent mass analysis result of the existing plastic floor are compensated, the accuracy of the analysis result is greatly improved, and powerful data support is provided for the defect display of the subsequent plastic floor, so that the living use feeling of consumers is greatly improved.
And the plastic floor defect analysis module is used for carrying out defect analysis on the indoor plastic floor based on the gas danger index, the waterproof performance qualified index and the apparent quality standard index corresponding to each subarea to be monitored, and obtaining a defect area.
Preferably, the defect analysis of the indoor plastic floor is specifically as follows:
and comparing the gas danger index corresponding to each sub-area to be monitored with the gas danger threshold stored in the cloud storage library, and if the gas danger index corresponding to a certain sub-area to be monitored is greater than the gas danger threshold, marking the sub-area to be monitored as a gas danger area, and extracting the number corresponding to the gas danger area.
And comparing the qualified waterproof performance index corresponding to each subarea to be monitored with a qualified waterproof performance threshold stored in the cloud storage library, if the qualified waterproof performance index corresponding to a certain subarea to be monitored is smaller than the qualified waterproof performance threshold, marking the subarea to be monitored as an unqualified waterproof area, and extracting a serial number corresponding to the unqualified waterproof dangerous area.
And comparing the apparent quality standard-reaching index corresponding to each subarea to be monitored with an apparent quality standard-reaching threshold stored in cloud storage, if the apparent quality standard-reaching index corresponding to a certain subarea to be monitored is smaller than the apparent quality standard-reaching threshold, marking the subarea to be monitored as an apparent quality unqualified area, and extracting a number corresponding to the apparent quality unqualified area.
Preferably, the defect regions include gas hazard regions, water rejection regions, and apparent quality rejection regions.
And the plastic floor defect display module is used for displaying corresponding defects based on the defect area.
It should be noted that the performing of the corresponding defect display specifically includes:
carry out gaseous dangerous demonstration based on the serial number that gaseous danger area corresponds, be convenient for relevant personnel in time to open the window and ventilate or place fresh air's green plant in this gaseous danger area.
And the serial number corresponding to the waterproof unqualified area is used for displaying the waterproof unqualified area, so that related personnel can timely perform corresponding waterproof treatment on the waterproof unqualified area.
And displaying the unqualified apparent quality based on the number corresponding to the unqualified apparent quality area, so that related personnel can conveniently perform corresponding quality processing on the unqualified apparent quality area.
The cloud storage library is used for storing allowable formaldehyde content, allowable benzene content, allowable ammonia content, allowable toluene content and allowable xylene content corresponding to unit space volume, storing influence factors corresponding to various floor materials, storing recommended density, recommended hardness and recommended flatness corresponding to the plastic floor, storing standard floors corresponding to indoor plastic floors, storing allowable hollowing height, allowable wrinkle area and allowable grinding mark length corresponding to the plastic floors, storing gas danger thresholds, storing qualified waterproof performance thresholds corresponding to the plastic floors and storing qualified apparent quality thresholds corresponding to the plastic floors.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. An industrial product quality monitoring analysis management system based on artificial intelligence, comprising:
the indoor monitoring area dividing module is used for uniformly dividing the indoor plastic floor according to a grid dividing mode to obtain each subarea to be monitored, and the subareas are sequentially numbered as 1,2, a.
The indoor monitoring equipment setting module is used for setting monitoring equipment in each sub-area to be monitored, and the monitoring equipment comprises a five-in-one monitor, a densimeter, a hardness measuring instrument and a high-definition camera;
the gas environment monitoring and analyzing module is used for monitoring and analyzing the gas environment corresponding to each subarea to be monitored, so as to obtain the gas risk index corresponding to each subarea to be monitored;
the waterproof performance monitoring and analyzing module is used for monitoring and analyzing the waterproof performance corresponding to each subarea to be monitored, so that a waterproof performance qualified index corresponding to each subarea to be monitored is obtained;
the plastic floor apparent mass analysis module is used for analyzing the apparent mass corresponding to each subarea to be monitored so as to obtain an apparent mass standard index corresponding to each subarea to be monitored, and comprises a floor color matching degree analysis unit, a floor surface integrity degree analysis unit, a floor welding flatness analysis unit and a floor comprehensive apparent mass analysis unit;
the plastic floor defect analysis module is used for carrying out defect analysis on the indoor plastic floor based on the gas danger index, the waterproof performance qualified index and the apparent quality standard index corresponding to each subarea to be monitored, and obtaining a defect area;
the plastic floor defect display module is used for displaying corresponding defects based on the defect area;
the cloud storage library is used for storing allowable formaldehyde content, allowable benzene content, allowable ammonia content, allowable toluene content and allowable xylene content corresponding to unit space volume, storing influence factors corresponding to various floor materials, storing recommended density, recommended hardness and recommended flatness corresponding to the plastic floor, storing standard floors corresponding to indoor plastic floors, storing allowable hollowing height, allowable wrinkle area and allowable grinding mark length corresponding to the plastic floors, storing gas danger thresholds, storing qualified waterproof performance thresholds corresponding to the plastic floors and storing qualified apparent quality thresholds corresponding to the plastic floors.
2. The system for monitoring, analyzing and managing the quality of industrial products based on artificial intelligence as claimed in claim 1, wherein: the analysis of the gas environment corresponding to each sub-area to be monitored is specifically as follows:
collecting the formaldehyde content, the benzene content, the ammonia content, the toluene content and the xylene content in each sub-area to be monitored by a five-in-one monitor;
the method comprises the steps that the space volume corresponding to each subregion to be monitored is obtained through an intelligent camera, and is matched with the allowable formaldehyde content, the allowable benzene content, the allowable ammonia content, the allowable toluene content and the allowable xylene content corresponding to the unit space volume stored in a cloud storage, so that the allowable formaldehyde content, the allowable benzene content, the allowable ammonia content, the allowable toluene content and the allowable xylene content corresponding to each subregion to be monitored are obtained;
and comparing the formaldehyde content, the benzene content, the ammonia content, the toluene content and the xylene content in each subarea to be monitored with the corresponding allowable formaldehyde content, allowable benzene content, allowable ammonia content, allowable toluene content and allowable xylene content to obtain the gas risk index corresponding to each subarea to be monitored.
3. The system for monitoring, analyzing and managing the quality of industrial products based on artificial intelligence as claimed in claim 1, wherein: the waterproof performance corresponding to each subarea to be monitored is analyzed, and the specific analysis is as follows:
measuring the density corresponding to each sub-area to be monitored by a densimeter;
measuring the hardness corresponding to each sub-area to be monitored by a hardness measuring instrument;
acquiring floor materials corresponding to the plastic floor, and matching the floor materials with the influence factors corresponding to various floor materials stored in the cloud storage library to obtain the influence factors corresponding to the plastic floor;
uniformly distributing detection points on each subarea to be monitored, acquiring the vertical distance between each detection point in each subarea to be monitored and a preset reference plane, and screening out the maximum vertical distance and the minimum vertical distance;
calculating the flatness corresponding to each sub-region to be monitored based on the maximum vertical distance and the minimum vertical distance corresponding to each sub-region to be monitored, wherein the specific calculation formula is
pz i Expressed as the flatness corresponding to the ith sub-region to be monitored,
and
respectively expressed as the maximum vertical distance and the minimum vertical distance corresponding to the ith sub-area to be monitored,
the average vertical distance corresponding to the ith sub-region to be monitored is expressed;
integrating the density, hardness and flatness corresponding to each subarea to be monitored and the influence factors corresponding to the plastic floor to obtain the qualified waterproof performance index corresponding to each subarea to be monitored, wherein the specific calculation formula is
η i Expressed as the qualified index of waterproof performance, md, corresponding to the ith subarea to be monitored i Expressed as the density, yd, corresponding to the ith subregion to be monitored i Expressed as the hardness, pz, corresponding to the ith sub-region to be monitored i The flatness is expressed as the flatness corresponding to the ith sub-area to be monitored, gamma is expressed as the influence factor corresponding to the plastic floor, md ', yd ' and pz ' are respectively expressed as the recommended density, recommended hardness and recommended flatness corresponding to the plastic floor, and a1, a2 and a3 are respectively expressed as the correction coefficients corresponding to the preset density value, hardness value and flatness.
4. The artificial intelligence based industrial product quality monitoring, analyzing and managing system as claimed in claim 1, wherein: the floor color matching degree analysis unit is used for analyzing the color matching degree corresponding to each sub-area to be monitored, and the specific analysis is as follows:
extracting the chromaticity corresponding to each sub-region to be monitored, dividing the standard floor corresponding to the indoor plastic floor according to the same dividing mode to obtain each sub-region of the standard floor, numbering the sub-regions according to the same numbering sequence as 1 ', 2',. i ',. n', and further extracting the standard chromaticity corresponding to each sub-region of the standard floor from the standard floor corresponding to the indoor plastic floor;
according to the formula
Calculating color coincidence coefficient, PS, corresponding to each sub-region to be monitored i Expressed as the color coincidence coefficient, sd, corresponding to the ith sub-region to be monitored i Expressed as the chromaticity corresponding to the ith sub-region to be monitored,
expressing the standard chromaticity corresponding to the ith' standard floor sub-area;
uniformly distributing detection points on each subarea to be monitored, simultaneously extracting chromatic values corresponding to the detection points in each subarea to be monitored, and screening out the maximum chromatic value and the minimum chromatic value;
according to the formula
Calculating the color distribution uniformity coefficient, JY, corresponding to each sub-region to be monitored i Expressed as the color distribution uniformity coefficient corresponding to the ith sub-area to be monitored,
expressed as the maximum chromaticity value corresponding to the ith sub-region to be monitored,
expressed as the minimum colorimetric value corresponding to the ith sub-region to be monitored,
the average chroma value is expressed as the average chroma value corresponding to the ith sub-area to be monitored;
synthesizing the color coincidence coefficient and the color distribution uniformity coefficient corresponding to each subregion to be monitored, and calculating the color matching degree corresponding to each subregion to be monitored, wherein the specific calculation formula is
ε i The color matching degree corresponding to the ith sub-region to be monitored is represented, and b1 and b2 are respectively represented as correction coefficients corresponding to preset color matching coefficients and color distribution uniformity coefficients.
5. The system for monitoring, analyzing and managing the quality of industrial products based on artificial intelligence as claimed in claim 1, wherein: the floor surface integrity analysis unit is used for analyzing the surface integrity corresponding to each sub-area to be monitored, and the specific analysis is as follows:
counting the number of hollows, the number of folds and the number of grinding marks in each subarea to be monitored by a high-definition camera, and simultaneously acquiring the height of the hollows, the fold area and the length of the grinding marks at each fold, which correspond to each hollow drum, of each subarea to be monitored;
integrating the empty drum height of each empty drum corresponding to each subarea to be monitored, the wrinkle area of each wrinkle, the grinding crack length of each grinding crack and the defect area of each defect, and calculating the surface integrity corresponding to each subarea to be monitored, wherein the specific calculation formula is
Expressed as the surface integrity corresponding to the ith sub-region to be monitored,
the number of the ith sub-area to be monitored is expressed as the empty drum height at the k-th empty drum, k is the number of the empty drum, k is 1,2, g, g is expressed as the number of the empty drum,
the fold area of the ith sub-area to be monitored corresponding to the p-th fold is expressed, p is the number of the fold, p is 1,2, q, q is the number of the fold,
the wear mark length of the ith sub-area to be monitored corresponding to the r-th wear mark is expressed, r is the number of the wear mark, r is 1,2, the.. j, j is the number of the wear mark, h ', s ' and l ' are respectively expressed as the allowable empty drum height, the allowable wrinkle area and the allowable wear mark length corresponding to the plastic floor, and c1, c2 and c3 are respectively expressed as the correction coefficients corresponding to the preset empty drum height, wrinkle area and wear mark length.
6. The system for monitoring, analyzing and managing the quality of industrial products based on artificial intelligence as claimed in claim 1, wherein: the floor welding flatness analysis unit is used for analyzing the welding flatness corresponding to each sub-area to be monitored, and the specific analysis is as follows:
uniformly distributing detection points in the welding joints corresponding to the sub-areas to be monitored, simultaneously acquiring the distance between each detection point in the welding joints corresponding to the sub-areas to be monitored and a preset reference horizontal plane, recording the distance as a horizontal distance, and simultaneously screening out the maximum horizontal distance and the minimum horizontal distance;
obtaining the thickness of the welding joint of each detection point in the welding joint corresponding to each sub-area to be monitored, and screening out the maximum thickness and the minimum thickness;
according to the formula
Calculating the welding flatness, sigma, corresponding to each subarea to be monitored i Expressed as the weld flatness corresponding to the ith sub-region to be monitored,
and
respectively expressed as the maximum thickness and the minimum thickness of the welded joint corresponding to the ith subarea to be monitored,
and
the maximum horizontal distance and the minimum horizontal distance in the welding joint corresponding to the ith sub-area to be monitored are respectively expressed, hd 'and jl' are respectively expressed as the preset welding joint allowable thickness and the allowable horizontal distance, and e1 and e2 are respectively expressed as weight factors corresponding to the preset welding joint thickness and the welding joint horizontal distance.
7. The system for monitoring, analyzing and managing the quality of industrial products based on artificial intelligence as claimed in claim 1, wherein: the floor comprehensive apparent mass analysis unit is used for calculating the apparent mass standard-reaching index corresponding to each subarea to be monitored, and the specific calculation formula is
Expressed as the index of reaching the standard of the apparent mass corresponding to the ith sub-region to be monitored, and d1, d2 and d3 are respectively expressed as the influence factors corresponding to the preset color matching degree, surface integrity and welding flatness.
8. The system for monitoring, analyzing and managing the quality of industrial products based on artificial intelligence as claimed in claim 1, wherein: the defect analysis is carried out on the indoor plastic floor, and the specific analysis is as follows:
comparing the gas danger index corresponding to each subarea to be monitored with a gas danger threshold stored in a cloud storage library, if the gas danger index corresponding to a certain subarea to be monitored is greater than the gas danger threshold, marking the subarea to be monitored as a gas danger area, and extracting a number corresponding to the gas danger area;
comparing the qualified waterproof performance index corresponding to each subarea to be monitored with a qualified waterproof performance threshold stored in a cloud storage library, if the qualified waterproof performance index corresponding to a certain subarea to be monitored is smaller than the qualified waterproof performance threshold, marking the subarea to be monitored as an unqualified waterproof area, and extracting a number corresponding to the unqualified waterproof dangerous area;
and comparing the apparent mass standard index corresponding to each subarea to be monitored with an apparent mass standard threshold stored in the cloud storage, and if the apparent mass standard index corresponding to a certain subarea to be monitored is smaller than the apparent mass standard threshold, marking the subarea to be monitored as an area with unqualified apparent mass, and extracting the number corresponding to the area with unqualified apparent mass.
9. The artificial intelligence based industrial product quality monitoring, analyzing and managing system as claimed in claim 1, wherein: the defect regions include gas hazard regions, water repellency failure regions, and apparent mass failure regions.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115390498A (en) * | 2022-09-22 | 2022-11-25 | 湖北博江建筑工程管理有限公司 | Online intelligent monitoring and early warning system for tailing discharge |
| CN116485277A (en) * | 2023-05-16 | 2023-07-25 | 公安县朵依服装有限公司 | Clothing factory intelligent management system based on big data feature analysis |
| CN116797100A (en) * | 2023-07-14 | 2023-09-22 | 荆州市江俊建筑装饰有限公司 | Whole-process monitoring management system for decoration engineering based on visualization |
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2022
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115390498A (en) * | 2022-09-22 | 2022-11-25 | 湖北博江建筑工程管理有限公司 | Online intelligent monitoring and early warning system for tailing discharge |
| CN115390498B (en) * | 2022-09-22 | 2024-01-02 | 淮北市众泰机电工程有限公司 | Online intelligent monitoring and early warning system for tailing discharge |
| CN116485277A (en) * | 2023-05-16 | 2023-07-25 | 公安县朵依服装有限公司 | Clothing factory intelligent management system based on big data feature analysis |
| CN116485277B (en) * | 2023-05-16 | 2024-04-26 | 丹东海合谷实业有限公司 | Clothing factory intelligent management system based on big data feature analysis |
| CN116797100A (en) * | 2023-07-14 | 2023-09-22 | 荆州市江俊建筑装饰有限公司 | Whole-process monitoring management system for decoration engineering based on visualization |
| CN116797100B (en) * | 2023-07-14 | 2024-05-14 | 广东惠尔跃信息科技有限公司 | Whole-process monitoring management system for decoration engineering based on visualization |
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Application publication date: 20220906 |