CN115082475B - Pollution detection method and system in rubber glove production process - Google Patents
Pollution detection method and system in rubber glove production process Download PDFInfo
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Abstract
The invention provides a method and a system for detecting pollution in the production process of rubber gloves, which relate to the technical field of digital processing, and the method comprises the following steps: acquiring cleaning and airing space information of the hand model, arranging a first image acquisition device to obtain an image acquisition result, evaluating pollution of the hand model, and detecting a mark for the pollution of the hand model; producing rubber gloves for the hand models without the detected pollution detection marks, and inflating; and acquiring images to obtain a pollution detection image set, performing pollution detection evaluation to generate a pollution detection identifier of the rubber gloves, and performing production pollution detection management by combining the pollution detection identifier. The technical problem of low reliability of a pollution detection result caused by low adaptation degree of set index parameters and pollution parameters in an actual production and processing process in a pollution detection and analysis process is solved, comprehensive analysis of pollution detection indexes is achieved, pollution detection identification limitation is carried out at multiple angles in combination with the actual production process of rubber gloves, and the technical effect of reliability of the pollution detection result is improved.
Description
Technical Field
The invention relates to the technical field of digital processing, in particular to a pollution detection method and system in a rubber glove production process.
Background
In the production and processing process of the rubber gloves, pollution monitoring is carried out synchronously, the passing rate of the quality detection process of the rubber gloves can be ensured, generally, an image processing device is matched for quality detection, characteristic processing is carried out by combining a convolution model, and pollution characteristic parameters of the rubber gloves are determined.
The technical problem that the reliability of a pollution detection result is low due to the fact that the adaptation degree of the set index parameters in the pollution detection and analysis process and the pollution parameters in the actual production and processing process is low exists in the prior art.
Disclosure of Invention
The application provides a pollution detection method and system in the production process of rubber gloves, solves the technical problems that the adaptation degree of set index parameters in the pollution detection and analysis process and the pollution parameters in the actual production and processing process is low, the reliability of a pollution detection result is low, comprehensive analysis of pollution detection indexes is achieved, the actual production process of the rubber gloves is combined, the pollution detection identification is limited in multiple angles, and the technical effect of the reliability of the pollution detection result is improved.
In view of the above problems, the present application provides a method and a system for detecting contamination in a rubber glove production process.
In a first aspect, the present application provides a method for detecting contamination in a rubber glove production process, wherein the method is applied to a detection system, the detection system is in communication connection with a first image acquisition device, a second image acquisition device and an inflation device, and the method comprises: acquiring cleaning and drying space information of a hand model, and distributing the first image acquisition device according to the cleaning and drying space information; acquiring an image of the air-dried hand model through the first image acquisition device to obtain an image acquisition result; performing hand model pollution evaluation based on the image acquisition result, and performing a pollution detection mark of the hand model based on the hand model pollution evaluation result; producing the rubber gloves through the hand model without detecting the pollution detection mark, and inflating the produced rubber gloves through the inflating device; acquiring the rubber glove image after inflation through the second image acquisition device to obtain a pollution detection image set; performing pollution detection evaluation based on the pollution detection image set to generate a pollution detection mark of the rubber glove; and carrying out production pollution detection management based on the pollution detection mark and the rubber glove pollution detection mark.
In a second aspect, the present application provides a contamination detection system in a rubber glove production process, wherein a detection system is integrated inside the contamination detection system, and the detection system is communicatively connected to a first image acquisition device, a second image acquisition device, and an inflation device, and the system includes: the acquisition device layout unit is used for acquiring cleaning and drying space information of the hand model and laying the first image acquisition device according to the cleaning and drying space information; the image acquisition unit is used for acquiring images of the air-dried hand model through the first image acquisition device to obtain an image acquisition result; the pollution evaluation unit is used for carrying out hand model pollution evaluation based on the image acquisition result and carrying out a pollution detection mark of the hand model based on the hand model pollution evaluation result; the production and inflation execution unit is used for producing the rubber gloves through the hand model without detecting the pollution detection mark and inflating the produced rubber gloves through the inflation device; the pollution detection image acquisition unit is used for acquiring the rubber glove image which is subjected to inflation through the second image acquisition device to obtain a pollution detection image set; a pollution detection evaluation unit for performing pollution detection evaluation based on the pollution detection image set to generate a rubber glove pollution detection mark; a pollution detection management unit for performing production pollution detection management based on the pollution detection mark and the rubber glove pollution detection mark.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method comprises the steps of acquiring cleaning and airing space information of the hand model, arranging a first image acquisition device according to the cleaning and airing space information, acquiring an image of the aired hand model to obtain an image acquisition result, evaluating hand model pollution, and carrying out pollution detection identification on the hand model based on the hand model pollution evaluation result; producing rubber gloves by hand molds without detected pollution detection marks, and inflating the produced rubber gloves by an inflating device; and acquiring the images of the inflated rubber gloves by a second image acquisition device to obtain a pollution detection image set, performing pollution detection evaluation to generate a pollution detection identifier of the rubber gloves, and performing production pollution detection management by combining the pollution detection identifier. The embodiment of the application achieves comprehensive analysis and pollution detection indexes, combines the actual production process of rubber gloves, detects identification limitation in a multi-angle pollution detection mode, and improves the technical effect of reliability of pollution detection results.
Drawings
FIG. 1 is a schematic flow chart of a method for detecting contamination in a rubber glove production process according to the present application;
FIG. 2 is a schematic flow chart of a method for detecting contamination in a rubber glove production process according to the present application to obtain a contamination detection mark for the rubber glove;
FIG. 3 is a schematic flow chart of an embedded contamination identification of the contamination detection method in the rubber glove production process according to the present application;
FIG. 4 is a schematic view of a contamination detection system in the production process of a rubber glove according to the present application.
Description of reference numerals: the system comprises a collecting device arrangement unit 11, an image collecting unit 12, a pollution evaluation unit 13, a production and inflation execution unit 14, a pollution detection image collecting unit 15, a pollution detection evaluation unit 16 and a pollution detection management unit 17.
Detailed Description
The application provides a pollution detection method and system in the production process of rubber gloves, solves the technical problems that the adaptation degree of set index parameters in the pollution detection and analysis process and the pollution parameters in the actual production and processing process is low, and the reliability of a pollution detection result is low, achieves comprehensive analysis and pollution detection indexes, combines the actual production process of the rubber gloves, and realizes the limitation of a pollution detection mark at multiple angles, thereby improving the technical effect of the reliability of the pollution detection result.
Example one
As shown in fig. 1, the present application provides a method for detecting contamination in a rubber glove production process, wherein the method is applied to a detection system, the detection system is in communication connection with a first image acquisition device, a second image acquisition device and an inflation device, and the method comprises:
step S100: acquiring cleaning and drying space information of a hand model, and distributing the first image acquisition device according to the cleaning and drying space information;
step S200: acquiring an image of the air-dried hand model through the first image acquisition device to obtain an image acquisition result;
specifically, in the production process of the rubber gloves, pollution detection is carried out, a data acquisition unit is arranged by firstly combining spatial distribution information of production related devices (such as air-dried hand molds, the materials of the hand molds are generally ceramics) of the rubber gloves, and data information of the production related devices is acquired through the data acquisition unit to provide a data basis for subsequent pollution detection.
Further specifically speaking, the cleaning and airing space information includes relevant parameter index information such as hand model space track information, hand model space distribution information, and in the production process of rubber gloves, there is an update in the hand model space position, and through gathering many times the position update data of the hand model space position is combined and generated the hand model space track information, first image acquisition device is real-time image acquisition device, and is common as: monitoring camera dries spatial information through the washing of hand former, and the correspondence is confirmed first image acquisition device's distribution, first image acquisition device's distribution and the washing that the washing of drying spatial information hand former dry spatial information exist the spatial correlation, first image acquisition device is used for carrying out image acquisition to drying the hand former, acquires the image acquisition result, for the explanation of being convenient for, in this application embodiment, will "dry the hand former" and be referred to as "hand former" for short, "the image acquisition result does the real-time image information of hand former provides data support for the follow-up data analysis that carries on.
Step S300: performing hand model pollution evaluation based on the image acquisition result, and performing a pollution detection mark of the hand model based on the hand model pollution evaluation result;
specifically, image analysis processing is carried out according to the image acquisition result to obtain an image analysis processing result, pollution evaluation is carried out on the surface of the hand model according to the image analysis processing result to obtain a hand model pollution evaluation result, a pollution detection mark of the hand model is carried out based on the hand model pollution evaluation result, pollution detection is carried out in the production process of the rubber gloves, firstly, the hand model is ensured to be free of pollution, if the hand model is polluted, the hand model is possibly polluted and infected on the rubber gloves, and if the pollution detection mark of the hand model is not carried out, the rubber gloves are directly produced, and unnecessary production resource waste is caused.
Further explaining, local features in image features are extracted by adopting Scale-Invariant Feature Transform (Scale-Invariant Feature Transform) based on the image acquisition result, an extreme point is searched in a spatial Scale, the position, the Scale and the Invariant of the extreme point are extracted, pollution evaluation is carried out on the surface of the hand model through the position, the Scale and the Invariant of the extreme point, a hand model pollution evaluation result is obtained, a pollution detection identifier of the hand model is carried out based on the hand model pollution evaluation result, the precision of the pollution detection identifier is ensured, pollution in the production process of the rubber gloves is comprehensively detected and evaluated, the phenomenon that the hand model is polluted and is attached to the rubber gloves due to the pollution is avoided, and the stability and the comprehensiveness of pollution detection management are ensured.
Step S400: producing the rubber gloves through the hand model without detecting the pollution detection mark, and inflating the produced rubber gloves through the inflating device;
step S500: acquiring the inflated rubber glove image through the second image acquisition device to obtain a pollution detection image set;
step S600: performing pollution detection evaluation based on the pollution detection image set to generate a pollution detection mark of the rubber glove;
specifically, the hand model without the detected pollution detection mark, namely the hand model without the pollution, is used for producing the rubber gloves through the hand model without the detected pollution detection mark, after the production is finished, the rubber gloves are obtained, the interface positions of the inflating device and the rubber gloves are tightly buckled through the inflating device, no gas leakage exists in the interface positions, the rubber gloves are inflated, after the inflating operation is finished, the second image acquisition device is a real-time image acquisition device, the inflating device correspondingly determines the distribution of the second image acquisition device, the distribution of the second image acquisition device is spatially associated with the distribution of the inflating device, the second image acquisition device is used for carrying out image acquisition on the inflated rubber gloves to obtain a pollution detection image set, the pollution detection image set is subjected to characteristic analysis processing, the pollution detection processing result is used for carrying out pollution detection evaluation to generate the pollution detection mark of the rubber gloves, and the detection of the pollution of the rubber gloves is assisted by inflation, so as to ensure the stability of the pollution detection mark of the rubber gloves and improve the reliability of the pollution mark of the rubber gloves.
The rubber gloves are inflated, if the rubber gloves are polluted, the phenomena of air leakage and breakage of the rubber gloves can occur, the inflation is carried out, the detection of the pollution of the rubber gloves is assisted, technical support is provided for ensuring the stability of the detection marks of the pollution of the rubber gloves, generally, the pollution of the rubber gloves can be water stain or water mark with a cleaning agent, or granular dust or granular cleaning matter, the pollution of the rubber gloves can also be rubber particles with abnormal particle size inside the rubber, vulcanizing agents such as plasticizer and sulfur can be added in the rubber production and processing process, if the addition amount or the stirring process fails, the rubber particles with abnormal particle size inside the rubber can be caused, the pollution type inside the rubber is not specifically limited, and through a verification test, if the pollution exists inside the rubber gloves, the probability of the phenomena of air leakage and breakage of the rubber gloves is greater than that the phenomena of air leakage and breakage of the rubber gloves are measured without the pollution inside the rubber gloves, the pollution analysis and the evaluation of the rubber gloves are assisted, and the data of the supporting surface of the rubber gloves are provided for improving the quality index of the rubber gloves.
Further, as shown in fig. 2, the embodiment of the present application further includes:
step S610: constructing preset inflation parameter data through big data;
step S620: controlling the inflating device to inflate the produced rubber gloves through the preset inflating parameter data;
step S630: matching a permeability evaluation interval based on the predetermined inflation parameter data;
step S640: and performing glove permeability evaluation of the pollution detection image set through the permeability evaluation interval, and obtaining the pollution detection mark of the rubber glove based on a permeability evaluation result.
Specifically, based on big data, taking a type standard parameter of the rubber glove as an identifier, performing data retrieval to obtain preset inflation parameter data, wherein the preset inflation parameter data comprises an inflation amount and an inflation state retention time threshold, controlling the inflation device through the preset inflation parameter data, tightly buckling an interface position of the inflation device and the rubber glove, inflating the processed and produced rubber glove, performing parameter matching based on the preset inflation parameter data, and determining a matching permeability evaluation interval, wherein the matching permeability evaluation interval comprises a lower permeability limit and an upper permeability limit, after the rubber glove is inflated, the rubber glove is inflated to enable a permeability parameter matched with the rubber glove to be in the matching permeability evaluation interval, exemplarily, the non-inflated state of the disposable medical rubber glove is milky white, after the inflation is finished, the disposable medical rubber glove is in the inflated state, the permeability degree of the glove is higher than the permeability degree of the non-inflated state, the permeability lower permeability limit and the permeability limit of the evaluation interval are obtained based on the inflation amount matching of the preset inflation parameter data, and determining the evaluation interval; and performing glove permeability evaluation on the inflated pollution detection image set of the rubber gloves through the permeability evaluation interval, determining permeability evaluation results, wherein the permeability evaluation results comprise parameter indexes associated with glove elastic coefficients, and performing pollution identification on the rubber gloves based on the permeability evaluation results to obtain the pollution detection identification of the rubber gloves.
Further specifically, in the process of processing and forming the rubber gloves, the colloidal solution in the latex pool has a probability of being contaminated, if the colloidal solution in the latex pool is contaminated, impurities may be embedded in the rubber gloves, and also the proportion of vulcanizing agents such as added plasticizers, sulfur and the like is inappropriate, so that the elastic coefficient of the processed and formed rubber gloves is low, and in the process of inflating the rubber gloves, cracks or uneven distribution of the colloid occurs, so that the permeability of the rubber gloves is reduced and is not over the limit of the permeability evaluation interval, thereby providing technical support for ensuring the stability of the detection mark for contamination of the rubber gloves.
Further, the embodiment of the present application further includes:
step S641: performing inflation effect fitting of the predetermined inflation parameter data based on big data;
step S642: carrying out regional division on the rubber gloves through an aeration effect fitting result, and obtaining regional permeability evaluation parameters according to the permeability evaluation interval;
step S643: and performing glove permeability evaluation on the pollution detection image set through the regional permeability evaluation parameter to obtain a permeability evaluation result.
Specifically, data matching retrieval is carried out based on big data, the preset inflation parameter data are used as identifiers, data retrieval is carried out, inflation effect fitting of the preset inflation parameter data is obtained, the inflation effect fitting corresponds to an inflation effect fitting result, and the inflation effect fitting result comprises related parameter indexes such as an inflation transmittance coefficient and an inflation state elasticity coefficient; performing regional division on the rubber gloves through an inflation effect fitting result, and finding through a verification test that a certain difference exists between the inflation effect fitting result of a finger position and the inflation effect fitting result of a palm position, performing regional division on the rubber gloves through the inflation effect fitting result to obtain a regional division result, specifically performing regional refinement by combining actual parameter size, matching and optimizing parameter distribution of permeability parameters matched with the rubber gloves inside a permeability evaluation interval based on the regional division result according to the permeability parameters matched with the rubber gloves inside the permeability evaluation interval to obtain regional permeability evaluation parameters, wherein the regional permeability evaluation parameters correspond to the regional division results one by one, and the regional permeability evaluation parameters are permeability evaluation parameters of each block of the regional division; and performing distributed evaluation on the glove permeability of the pollution detection image set by combining the regional permeability evaluation parameters and the regional division results to obtain a permeability evaluation result, thereby providing technical support for guaranteeing the precision of the permeability evaluation result and improving the stability of the permeability evaluation result.
Further, the embodiment of the present application further includes:
step S644: performing regional amplification scale evaluation on the rubber gloves according to the inflatable effect fitting result to generate a regional inverse amplification scale coefficient;
step S645: constructing a pollution feature set, and performing feature matching of the pollution detection image set through the pollution feature set to obtain a feature matching result, wherein the feature matching result has a position identifier;
step S646: matching the region inverse amplification scale factor through the position identifier, and performing feature size reduction on the feature matching result according to a matching result to obtain a feature size reduction result;
step S647: and obtaining the pollution detection mark of the rubber glove according to the feature matching result and the feature size reduction result.
Specifically, a region magnification factor of the rubber glove is obtained through the elastic coefficient of the inflation state in the inflation effect fitting result, the region magnification factor is the area size of the region before inflation magnification and the inverse number of the area size of the region after inflation magnification, and the region magnification ratio of the rubber glove is evaluated through the region magnification factor to generate a region inverse magnification ratio coefficient, wherein the region inverse magnification ratio factor is the area size of the region before inflation magnification and the area size of the region after inflation magnification; constructing a pollution feature set, wherein multiple groups of pollution history feature parameters of the pollution feature set are the pollution history feature parameters of the detection system, the data types of the pollution history feature set are consistent with the pollution detection image set, the pollution history feature parameters are feature parameter indexes stored in an operation log of the detection system, the pollution history feature set comprises multiple history detection time points, the history pollution detection image set is marked based on the history detection time points, the pollution feature set is generated, the pollution feature set is data information of a rubber glove production system and the detection system which do not perform equipment update (replacement) or equipment movement, the pollution feature set is used for performing feature comparison and matching of the pollution detection image set, a feature matching result is obtained, the feature matching result comprises pollution feature image feature parameters of which the history pollution detection image set and the pollution detection image set are consistent correspondingly, the feature matching result has a position identifier, and actual position information of the pollution feature image feature parameters of which are consistent correspondingly marked can be positioned; matching the numerical value of the regional reverse amplification scaling factor through the position identifier, wherein the numerical value of the regional reverse amplification scaling factor is consistent with the numerical value of the historical regional reverse amplification scaling factor of the position identifier parameter reverse retrieval, performing parameter comparison reduction on the feature size of the feature matching result through matching the numerical value of the regional reverse amplification scaling factor through the position identifier, and obtaining a feature size reduction result, wherein the feature size reduction result is the feature matching result and the feature size obtained by reduction; and acquiring the pollution detection identifier of the rubber gloves according to the feature matching result and the feature size reduction result, and providing data support for ensuring the reliability of the pollution detection identifier of the rubber gloves by combining historical data.
Step S700: and carrying out production pollution detection management based on the pollution detection mark and the rubber glove pollution detection mark.
Particularly, based on the pollution detect the sign with the rubber gloves pollution detects the sign, in rubber gloves production process, pollutes the monitoring mark, through pollution monitoring mark carries out the production pollution in rubber gloves production process and detects the management, for the supplementary rubber gloves quality assessment that carries on, the scheme is detected in intelligent management production pollution, pollutes monitoring efficiency in guaranteeing rubber gloves production process, reduces the manufacturing cost waste because of the pollution causes.
Further, as shown in fig. 3, the embodiment of the present application further includes:
step S710: classifying and cleaning based on the pollution detection identifier of the rubber gloves;
step S720: carrying out image acquisition on the rubber gloves after classified cleaning through the second image acquisition device to obtain an image acquisition result after cleaning;
step S730: carrying out pollution detection evaluation on the cleaned image acquisition result at the same position to obtain a pollution detection evaluation result at the same position;
step S740: and when the pollution still exists in the co-location pollution detection evaluation result, identifying the pollution as embedded pollution.
Specifically, the rubber gloves having the contamination detection marks may be cleaned, and if the contamination of the rubber gloves is water stain or water mark with a cleaning agent, or granular dust or granular cleaning matter, the rubber gloves may be classified into a first type (dirt attached to the rubber gloves) after being cleaned, and the rubber gloves may be classified into a second type (dirt embedded in the rubber gloves) after being cleaned if the contamination of the rubber gloves is rubber particles having abnormal particle size inside the rubber, and the rubber gloves having the contamination detection marks may be classified and cleaned according to the type of the contamination of the rubber gloves; through the second image acquisition device, after the classified cleaning, the inflation device is used for inflating, and after inflation is completed, image acquisition is carried out on the rubber gloves, so that the image acquisition result after cleaning is obtained; carrying out pollution detection evaluation on the pollution marks limited by the pollution detection marks of the rubber gloves in the cleaned image acquisition result at the same positions to obtain pollution detection evaluation results at the same positions, wherein the pollution detection evaluation results at the same positions can correspond to two detection evaluation results of pollution existence and pollution nonexistence; when the pollution still exists in the co-location pollution detection evaluation result, the pollution of the rubber gloves is embedded into the rubber gloves, the detection mark for detecting the pollution of the rubber gloves is further limited, the pollution is marked as embedded pollution, the detection mark for detecting the pollution of the rubber gloves is further limited through substantial verification, and the accuracy of the identification signal of the detection system is improved.
Further, the embodiment of the present application further includes:
step S810: counting the number of the embedded pollution identifiers to generate an embedded pollution proportion evaluation result;
step S820: judging whether the embedded pollution ratio evaluation result meets a preset ratio threshold value or not;
step S830: when the embedded pollution ratio evaluation result does not meet the preset ratio threshold, generating a latex pool detection instruction;
step 840: and carrying out pollution detection on the latex pool according to the latex pool detection instruction.
Specifically, counting the quantity based on the embedded pollution identifier, acquiring the quantity of the embedded pollution identifier, and generating an embedded pollution ratio evaluation result, wherein generally, the embedded pollution ratio evaluation result is the ratio of the quantity of the embedded pollution identifier to the quantity of the pollution detection identifier of the rubber glove, and the embedded pollution ratio evaluation result is a real-time calculation result; judging whether the embedded pollution ratio evaluation result meets a preset ratio threshold value or not, if so, judging that the embedded pollution ratio evaluation result is lower than the preset ratio threshold value, wherein the preset ratio threshold value is a self-defined set parameter of a relevant manager of the detection system; when the embedded pollution ratio evaluation result does not meet the preset ratio threshold, that is, the embedded pollution ratio evaluation result is not lower than the preset ratio threshold, indicating that further pollution tracing detection on the embedded pollution is required to be performed, and generating a latex pool detection instruction, wherein the latex pool detection instruction is used for detecting the colloidal solution in the latex pool; and transmitting the detection instruction of the latex pool to a control unit of the detection system, and carrying out pollution detection on the latex pool, so that the problem that the production resource is unnecessarily wasted due to repeated embedded pollution caused by faults of the addition amount of the plasticizer, the sulfur and other vulcanizing agents of the latex pool or the stirring process is solved.
Further, the embodiment of the application further comprises:
step S850: carrying out pollution classification proportion evaluation according to the pollution detection mark and the pollution detection mark of the rubber gloves to obtain a pollution classification proportion evaluation result;
step S860: generating an environment feedback purification parameter according to the pollution classification ratio evaluation result;
step S870: and performing purification treatment on the production environment through the environment feedback purification parameters.
Specifically, a pollution classification proportion evaluation is performed according to the pollution detection identifier and the rubber glove pollution detection identifier, the pollution types of the rubber gloves are divided into two types, the first type is the dirt attached to the rubber gloves, the second type is the dirt embedded in the rubber gloves, the embedded pollution proportion evaluation result is the ratio of the number of the embedded pollution identifiers to the number of the pollution detection identifiers of the rubber gloves, namely the ratio of the second type pollution types to the number of the pollution detection identifiers of the rubber gloves, the proportion corresponding to the first type pollution types can be deduced and determined by subtracting the proportion corresponding to the second type pollution types from the total proportion unit 1, the pollution classification proportion evaluation result is obtained by combining the number of the markers of the pollution detection identifiers based on the proportion corresponding to the first type pollution types, the hand model pollution classification proportion evaluation result comprises the pollution classification proportion corresponding to the first type pollution types, the hand model pollution and the pollution of the first type belong to the pollution caused by the problems such as the environment, and the pollution classification proportion evaluation result is correspondingly optimized pollution classification proportion; generating environment feedback purification parameters according to the pollution classification ratio evaluation result, wherein the environment feedback purification parameters comprise workshop dust-free purification parameters, hand model cleaning period optimization parameters and cleaning program optimization parameters of rubber gloves; through the environment feedback purification parameters, based on the control unit of the detection system, aiming at the purification type of the environment feedback purification parameters, the corresponding purification treatment is carried out on the production environment of the rubber gloves, the probability of pollution generation in the production process of the rubber gloves is reduced, and the pollution detection system is further perfected from the purification treatment angle.
Further specifically, the rubber gloves are produced in a dust-free workshop, and if the dust-free workshop does not meet the dust-free limited standard, or the hand model cleaning period is improperly set and the cleaning program of the rubber gloves is unreasonably set, the pollution classification proportion evaluation result is abnormal, and further specific limitation needs to be performed by combining with relevant parameter indexes.
In summary, the method and the system for detecting pollution in the production process of rubber gloves provided by the application have the following technical effects:
the method comprises the steps of obtaining cleaning and airing space information of the hand model, arranging a first image acquisition device, carrying out image acquisition on the aired hand model to obtain an image acquisition result, carrying out hand model pollution evaluation, and carrying out pollution detection identification on the hand model based on the hand model pollution evaluation result; producing rubber gloves for the hand models of which the pollution detection marks are not detected, and inflating the produced rubber gloves; and acquiring images of the inflated rubber gloves to obtain a pollution detection image set, performing pollution detection evaluation, generating a pollution detection mark of the rubber gloves, and performing production pollution detection management by combining the pollution detection mark. The application provides a pollution detection method and system in the production process of rubber gloves, so that comprehensive analysis and pollution detection indexes are achieved, the actual production process of the rubber gloves is combined, the pollution detection identification is limited at multiple angles, and the technical effect of improving the reliability of pollution detection results is improved.
The number of the embedded pollution identifiers is counted to generate an embedded pollution ratio evaluation result; and when the embedded pollution ratio evaluation result does not meet the preset ratio threshold, generating a latex pool detection instruction, and performing pollution detection on the latex pool. The problems of unnecessary waste of production resources caused by repeated embedded pollution due to faults of the addition amount of the plasticizer, the sulfur and other vulcanizing agents in the latex pool or the stirring process are solved.
Because the pollution classification proportion evaluation is carried out according to the pollution detection mark and the rubber glove pollution detection mark, the pollution classification proportion evaluation result is obtained, the environment feedback purification parameters are generated, and the purification treatment of the production environment is carried out. The probability of pollution in the production process of the rubber gloves is reduced, and a pollution detection system is further perfected from the aspect of purification treatment.
Example two
Based on the same inventive concept as the method for detecting contamination in the production process of rubber gloves in the previous embodiment, as shown in fig. 4, the present application provides a system for detecting contamination in the production process of rubber gloves, wherein a detection system is integrated in the system for detecting contamination, and the detection system is communicatively connected with a first image acquisition device, a second image acquisition device and an inflation device, and the system comprises:
the device comprises a collecting device arranging unit 11, wherein the collecting device arranging unit 11 is used for obtaining cleaning and drying space information of the hand model and arranging the first image collecting devices according to the cleaning and drying space information;
the image acquisition unit 12 is used for acquiring an image of the air-dried hand model through the first image acquisition device to obtain an image acquisition result;
a contamination evaluation unit 13, wherein the contamination evaluation unit 13 is used for performing hand model contamination evaluation based on the image acquisition result and performing a contamination detection mark of the hand model based on the hand model contamination evaluation result;
a production and inflation execution unit 14, wherein the production and inflation execution unit 14 is used for producing the rubber gloves through the hand models without detecting the pollution detection marks and inflating the produced rubber gloves through the inflation device;
the pollution detection image acquisition unit 15 is used for acquiring the rubber glove image which is subjected to inflation through the second image acquisition device, so that a pollution detection image set is obtained;
a contamination detection and evaluation unit 16, wherein the contamination detection and evaluation unit 16 is used for performing contamination detection and evaluation based on the contamination detection image set and generating a contamination detection mark of the rubber glove;
a pollution detection management unit 17, wherein the pollution detection management unit 17 is used for carrying out production pollution detection management based on the pollution detection mark and the rubber glove pollution detection mark.
Further, the system comprises:
the inflation parameter data reservation unit is used for constructing preset inflation parameter data through big data;
the rubber glove inflation unit is used for controlling the inflation device to inflate the produced rubber gloves through the preset inflation parameter data;
a permeability evaluation unit for matching a permeability evaluation interval based on the predetermined inflation parameter data;
a pollution detection identification unit for performing glove permeability evaluation of the pollution detection image set through the permeability evaluation section, and obtaining the rubber glove pollution detection identification based on a permeability evaluation result.
Further, the system comprises:
the inflation effect fitting unit is used for performing inflation effect fitting on the preset inflation parameter data based on big data;
the area division unit is used for carrying out area division on the rubber gloves according to the result of the inflatable effect fitting and obtaining an area permeability evaluation parameter according to the permeability evaluation interval;
and the permeability evaluation result acquisition unit is used for carrying out glove permeability evaluation on the pollution detection image set through the regional permeability evaluation parameter to obtain the permeability evaluation result.
Further, the system comprises:
the magnification ratio evaluation unit is used for carrying out regional magnification ratio evaluation on the rubber gloves according to the inflating effect fitting result to generate a regional inverse magnification ratio coefficient;
the characteristic matching unit is used for constructing a pollution characteristic set, and performing characteristic matching on the pollution detection image set through the pollution characteristic set to obtain a characteristic matching result, wherein the characteristic matching result has a position identifier;
the characteristic restoration unit is used for matching the region inverse amplification scale factor through the position identifier, and restoring the characteristic size of the characteristic matching result according to the matching result to obtain a characteristic size restoration result;
and the rubber glove pollution detection mark acquisition unit is used for acquiring the rubber glove pollution detection mark according to the characteristic matching result and the characteristic size reduction result.
Further, the system comprises:
the classified cleaning unit is used for performing classified cleaning based on the pollution detection marks of the rubber gloves;
the image acquisition unit is used for acquiring images of the rubber gloves after classified cleaning through the second image acquisition device to obtain an image acquisition result after cleaning;
the pollution detection evaluation unit is used for carrying out pollution detection evaluation on the cleaned image acquisition result at the same position to obtain a pollution detection evaluation result at the same position;
and the embedded pollution determining unit is used for identifying the pollution as embedded pollution when the pollution still exists in the co-location pollution detection and evaluation result.
Further, the system comprises:
the identification counting unit is used for counting the identification number of the embedded pollution and generating an embedded pollution proportion evaluation result;
the proportion threshold judging unit is used for judging whether the embedded pollution proportion evaluation result meets a preset proportion threshold or not;
the detection instruction generation unit is used for generating a latex pool detection instruction when the embedded pollution ratio evaluation result does not meet the preset ratio threshold;
and the pollution detection unit is used for detecting the pollution of the latex pool according to the latex pool detection instruction.
Further, the system comprises:
the pollution classification proportion evaluation unit is used for carrying out pollution classification proportion evaluation according to the pollution detection mark and the rubber glove pollution detection mark to obtain a pollution classification proportion evaluation result;
the environment feedback purification parameter generation unit is used for generating environment feedback purification parameters according to the pollution classification proportion evaluation result;
and the purification treatment unit is used for carrying out purification treatment on the production environment through the environment feedback purification parameters.
The specification and drawings are merely illustrative of the present application, and various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Such modifications and variations of the present application are within the scope of the claims of the present application and their equivalents, and it is intended that the present application include such modifications and variations.
Claims (8)
1. A method for detecting pollution in the production process of rubber gloves is characterized in that the method is applied to a detection system, the detection system is in communication connection with a first image acquisition device, a second image acquisition device and an inflation device, and the method comprises the following steps:
acquiring cleaning and drying space information of a hand model, and distributing the first image acquisition device according to the cleaning and drying space information;
acquiring an image of the air-dried hand model through the first image acquisition device to obtain an image acquisition result;
performing hand model pollution evaluation based on the image acquisition result, and performing a pollution detection mark of the hand model based on the hand model pollution evaluation result;
producing the rubber gloves through the hand model without detecting the pollution detection mark, and inflating the produced rubber gloves through the inflating device;
acquiring the inflated rubber glove image by the second image acquisition device to obtain a pollution detection image set;
performing pollution detection evaluation based on the pollution detection image set to generate a pollution detection mark of the rubber glove;
and carrying out production pollution detection management based on the pollution detection mark and the rubber glove pollution detection mark.
2. The method of claim 1, wherein the method further comprises:
constructing preset inflation parameter data through big data;
controlling the inflating device to inflate the produced rubber gloves through the preset inflating parameter data;
matching a permeability evaluation interval based on the predetermined inflation parameter data;
and performing glove permeability evaluation of the pollution detection image set through the permeability evaluation interval, and obtaining the pollution detection mark of the rubber glove based on a permeability evaluation result.
3. The method of claim 2, wherein the method further comprises:
performing inflation effect fitting of the predetermined inflation parameter data based on big data;
carrying out regional division on the rubber gloves through an aeration effect fitting result, and obtaining regional permeability evaluation parameters according to the permeability evaluation interval;
and performing glove permeability evaluation of the pollution detection image set through the regional permeability evaluation parameter to obtain a permeability evaluation result.
4. The method of claim 3, wherein the method further comprises:
performing regional amplification scale evaluation on the rubber gloves according to the inflatable effect fitting result to generate a regional inverse amplification scale coefficient;
constructing a pollution feature set, and performing feature matching on the pollution detection image set through the pollution feature set to obtain a feature matching result, wherein the feature matching result has a position identifier;
matching the region inverse amplification scale factor through the position identification, and performing feature size reduction on the feature matching result according to the matching result to obtain a feature size reduction result;
and obtaining the pollution detection mark of the rubber glove according to the feature matching result and the feature size reduction result.
5. The method of claim 1, wherein the method further comprises:
classifying and cleaning based on the pollution detection identifier of the rubber gloves;
carrying out image acquisition on the rubber gloves subjected to classified cleaning through the second image acquisition device to obtain an image acquisition result after cleaning;
carrying out pollution detection evaluation on the cleaned image acquisition result at the same position to obtain a pollution detection evaluation result at the same position;
and when the pollution still exists in the pollution detection and evaluation result in the same position, identifying the pollution as embedded pollution.
6. The method of claim 5, wherein the method further comprises:
counting the number of the embedded pollution identifications to generate an embedded pollution proportion evaluation result;
judging whether the embedded pollution ratio evaluation result meets a preset ratio threshold value or not;
when the embedded pollution ratio evaluation result does not meet the preset ratio threshold, generating a latex pool detection instruction;
and carrying out pollution detection on the latex pool according to the latex pool detection instruction.
7. The method of claim 1, wherein the method further comprises:
carrying out pollution classification proportion evaluation according to the pollution detection mark and the pollution detection mark of the rubber gloves to obtain a pollution classification proportion evaluation result;
generating an environment feedback purification parameter according to the pollution classification ratio evaluation result;
and performing purification treatment on the production environment through the environment feedback purification parameters.
8. A pollution detection system in a rubber glove production process is characterized in that a detection system is integrated in the pollution detection system, the detection system is in communication connection with a first image acquisition device, a second image acquisition device and an inflation device, and the system comprises:
the acquisition device distribution unit is used for acquiring cleaning and drying space information of the hand model and distributing the first image acquisition devices according to the cleaning and drying space information;
the image acquisition unit is used for acquiring images of the air-dried hand model through the first image acquisition device to obtain an image acquisition result;
the pollution evaluation unit is used for evaluating the pollution of the hand model based on the image acquisition result and carrying out a pollution detection mark of the hand model based on the hand model pollution evaluation result;
the production and inflation execution unit is used for producing the rubber gloves through the hand model without detecting the pollution detection marks and inflating the produced rubber gloves through the inflation device;
the pollution detection image acquisition unit is used for acquiring the rubber glove image which is subjected to inflation through the second image acquisition device to obtain a pollution detection image set;
a pollution detection evaluation unit for performing pollution detection evaluation based on the pollution detection image set to generate a rubber glove pollution detection mark;
a contamination detection management unit for performing production contamination detection management based on the contamination detection mark and the rubber glove contamination detection mark.
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| CN103988150A (en) * | 2011-03-25 | 2014-08-13 | 奥布隆工业有限公司 | Fast fingertip detection for initializing vision-based hand tracker |
| CN112198161A (en) * | 2020-10-10 | 2021-01-08 | 安徽和佳医疗用品科技有限公司 | PVC gloves real-time detection system based on machine vision |
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| CN113989532A (en) * | 2021-10-22 | 2022-01-28 | 广东农垦鸡山农场有限公司 | Intelligent identification method and device for rubber tree diseases and insect pests |
| CN114139643B (en) * | 2021-12-07 | 2022-11-29 | 佳力士添加剂（海安）有限公司 | Monoglyceride quality detection method and system based on machine vision |
| CN114581413A (en) * | 2022-03-07 | 2022-06-03 | 南京新生医疗科技有限公司 | Image processing working method and system applied to hair planting |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103988150A (en) * | 2011-03-25 | 2014-08-13 | 奥布隆工业有限公司 | Fast fingertip detection for initializing vision-based hand tracker |
| CN112198161A (en) * | 2020-10-10 | 2021-01-08 | 安徽和佳医疗用品科技有限公司 | PVC gloves real-time detection system based on machine vision |
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