CN114705838B - Antibacterial ecological paper antibacterial quality full-process tracking system based on big data - Google Patents
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Abstract
The invention discloses an antibacterial quality full-flow tracking system of antibacterial ecological paper based on big data, which analyzes comprehensive antibacterial quality index of the corresponding surface area of the antibacterial ecological paper to be monitored by obtaining the thickness of an antibacterial coating at each monitoring point in the corresponding surface area of each antibacterial ecological paper to be monitored, basic information of each flora in each preset time interval and colony information of each flora in each preset time interval, contrasts and screens each antibacterial ecological paper to be monitored with unqualified antibacterial quality, and performs corresponding treatment, thereby realizing accurate tracking analysis of the antibacterial quality of the antibacterial ecological paper on multiple layers, breaking the limitation of the prior art on the antibacterial quality analysis of the antibacterial ecological paper, further meeting the antibacterial performance requirement of consumers on the antibacterial ecological paper, increasing the use experience of consumers on the antibacterial ecological paper, and greatly improving the evaluation of consumers on antibacterial ecological paper production enterprises.
Description
Technical Field
The invention relates to the field of antibacterial ecological paper quality monitoring, and relates to a big data-based antibacterial ecological paper antibacterial quality full-flow tracking system.
Background
In recent years, along with the development of society and the improvement of living standard of people, people pay more and more attention to the sanitation of working and living environments for the self health requirement, thereby promoting the research and development of ecological paper with antibacterial function. The antibacterial ecological paper is closely related to our life, and the disease transmission is caused by the bacteria on the paper, so that the antibacterial quality of the antibacterial ecological paper needs to be strictly tracked and monitored in order to ensure the antibacterial effect of the antibacterial ecological paper.
At present, most of the existing antibacterial quality tracking and monitoring methods for antibacterial ecological paper adopt personnel-assisted monitoring, namely, monitoring personnel perform primary analysis on antibacterial quality according to the coverage condition of the surface antibacterial coating of the antibacterial ecological paper, but the existing methods ignore the influence of the uniformity of the surface antibacterial coating of the antibacterial ecological paper on the antibacterial quality, so that the accuracy of the analysis result of the antibacterial quality of the antibacterial ecological paper in the later period is reduced, the expected antibacterial using effect of the antibacterial ecological paper is further influenced, the requirement on the antibacterial performance of consumers on the antibacterial ecological paper cannot be met, and the using experience of the consumers on the antibacterial ecological paper is reduced.
In the tracking and monitoring process of the existing antibacterial ecological paper, only the activity of flora in the surface area of the antibacterial ecological paper is tracked, monitored and analyzed, so that the existing method has certain limitations, the antibacterial quality of the antibacterial ecological paper cannot be accurately tracked and analyzed in a multi-layer mode, part of antibacterial ecological paper with unqualified antibacterial quality flows into the market, and the credit evaluation of consumers on antibacterial ecological paper production enterprises is influenced to a great extent.
Disclosure of Invention
Aiming at the problems, the invention provides a full-flow tracking system for the antibacterial quality of the antibacterial ecological paper based on big data, which realizes the function of full-flow tracking and monitoring of the antibacterial quality of the antibacterial ecological paper.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the invention provides an antibacterial ecological paper antibacterial quality full-flow tracking system based on big data, which comprises:
a surface area monitoring point distribution module: the monitoring points are distributed in the surface area of each antibacterial ecological paper to be monitored, and the monitoring points in the corresponding surface area of each antibacterial ecological paper to be monitored are numbered;
the thickness monitoring module of the antibacterial coating: the monitoring device is used for monitoring the thickness of the antibacterial coating at each monitoring point in the surface area corresponding to each antibacterial ecological paper to be monitored, and comparing to obtain the thickness difference of the antibacterial coating at each monitoring point in the surface area corresponding to each antibacterial ecological paper to be monitored;
antibacterial performance database: the thickness of the standard antibacterial coating on the corresponding surface of the standard antibacterial ecological paper is stored, and the standard images and the standard shapes corresponding to various types of strains are stored;
a flora basic information acquisition module: the system is used for monitoring the corresponding surface area of each piece of antibacterial ecological paper to be monitored in real time to obtain the basic information of each flora in each preset time interval in the corresponding surface area of each piece of antibacterial ecological paper to be monitored;
the flora activity weight coefficient analysis module comprises: the antibacterial ecological paper monitoring system is used for analyzing and obtaining the activity weight coefficient of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored according to the basic information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored;
a bacterial colony information identification and acquisition module: the system is used for identifying colony information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, and analyzing the strain survival rate and strain variation rate of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored;
a flora resistance weight coefficient analysis module: the antibacterial ecological paper is used for analyzing the resistance weight coefficient of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored according to the strain survival rate and the strain variation rate of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored;
the ecological paper antibacterial quality index analysis module comprises: the method is used for analyzing the comprehensive antibacterial quality index of the corresponding surface area of each piece of antibacterial ecological paper to be monitored, comparing and screening each piece of antibacterial ecological paper to be monitored, the antibacterial quality of which does not reach the standard, and carrying out corresponding treatment.
Optionally, the specific layout mode corresponding to the surface region monitoring point layout module is as follows:
the method comprises the steps of respectively arranging a plurality of monitoring points in the surface area of the antibacterial ecological paper to be monitored in a uniformly-arranged mode, wherein the number of the monitoring points arranged in the surface area of the antibacterial ecological paper to be monitored is the same, and numbering the monitoring points in the corresponding surface area of the antibacterial ecological paper to be monitored in sequence according to the arrangement time sequence.
Optionally, the antibacterial coating thickness monitoring module compares the antibacterial coating thickness difference values at the monitoring points in the surface region corresponding to the antibacterial ecological paper to be monitored, and the specific comparison process is as follows:
scanning and monitoring each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored to obtain the antibacterial coating thickness of each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored, extracting the standard antibacterial coating thickness of the corresponding surface of the standard antibacterial ecological paper stored in the antibacterial performance database, comparing the antibacterial coating thickness of each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored with the standard antibacterial coating thickness of the corresponding surface of the standard antibacterial ecological paper to obtain the antibacterial coating thickness difference value of each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored, and marking the antibacterial coating thickness difference value of each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored as delta d ij Wherein i =1, 2.. Multidot.n, i represents the ith antibacterial ecological paper to be monitored, and j =1, 2.. Multidot.m, j represents the number of the jth monitoring point.
Optionally, the acquiring module of the basic information of the flora in the surface area corresponding to each antibacterial ecological paper to be monitored acquires the basic information of each flora in each preset time interval, and specifically includes:
monitoring the corresponding surface area of each antibacterial ecological paper to be monitored in real time, respectively acquiring high-definition microscopic images at preset time intervals in the corresponding surface area of each antibacterial ecological paper to be monitored, and acquiring basic information of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored in each preset time interval according to the high-definition microscopic images at the preset time intervals in the corresponding surface area of each antibacterial ecological paper to be monitored, wherein the basic information comprises a coverage area, a central position and distribution density, and the flora in the corresponding surface area of each antibacterial ecological paper to be monitored in each preset time intervalThe coverage area, the center position and the distribution density in the compartment are respectively markedWherein r =1, 2.., u, r is denoted as the r-th flora, and f =1, 2.., v, f is denoted as the f-th predetermined time interval.
Optionally, the activity weight coefficient of each flora in the surface region corresponding to each antibacterial ecological paper to be monitored is obtained by analyzing in the flora activity weight coefficient analysis module, and the specific analysis mode is as follows:
respectively comparing the coverage area, the central position and the distribution density of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored in each preset time interval with the coverage area, the central position and the distribution density corresponding to the next adjacent preset time interval to obtain the coverage area difference, the central position offset distance and the distribution density difference of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored in each preset time interval and the next adjacent preset time interval, and respectively representing the coverage area difference, the central position offset distance and the distribution density difference of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored in each preset time interval and the next adjacent preset time interval asWherein f '=1',2', v., v', and v '= v-1, and the f' =1',2', v., v 'and v' = v-1 are sequentially substituted into a flora activity weight coefficient analysis formula to obtain an activity weight coefficient xi of each flora in a surface region corresponding to each antibacterial ecological paper to be monitored i r 。
Optionally, the colony information of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored in each preset time interval is identified in the colony information identification acquisition module, and the method specifically includes:
and identifying colony information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored according to the high-definition microscopic image of each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, wherein the colony information comprises the total number of strains, the corresponding survival state of each strain, the corresponding type of each strain and the corresponding shape of each strain, and the corresponding survival state of each strain is the survival state and the death state respectively.
Optionally, the colony information identification and acquisition module analyzes the survival rate of strains of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, and the specific analysis mode is as follows:
according to the corresponding survival state of each strain in each preset time interval of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored, the survival number of the strains in each preset time interval of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored is counted, the total number of the strains and the survival number of the strains in each preset time interval of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored are substituted into a strain survival rate analysis formula, and the strain survival rate of each flora in each preset time interval of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored is obtained
Optionally, the bacterial colony information identification obtaining module analyzes strain variation rate of each bacterial colony in a corresponding surface area of each antibacterial ecological paper to be monitored in each preset time interval, and the specific analysis mode is as follows:
extracting the standard shapes corresponding to various types of strains stored in an antibacterial performance database, screening to obtain the standard shapes corresponding to various strains in various preset time intervals in various surface regions corresponding to various antibacterial ecological paper to be monitored according to the corresponding types and shapes of various strains in various preset time intervals in various surface regions corresponding to various antibacterial ecological paper to be monitored, comparing the corresponding shapes of various strains in various preset time intervals in various surface regions corresponding to various antibacterial ecological paper to be monitored with the standard shapes of the various strains, if the corresponding shapes of certain strains in certain preset time intervals in certain surface regions corresponding to various antibacterial ecological paper to be monitored are not in accordance with the standard shapes of the various strains, carrying out variation on the corresponding shapes of the strains in the preset time intervals in the surface regions corresponding to the antibacterial ecological paper to be monitored, and counting the number of the shape variation of various strains in various preset time intervals in various surface regions corresponding to various antibacterial ecological paper to be monitored;
substituting the total strain number and the shape variation strain number of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored in each preset time interval into a strain variation rate analysis formula to obtain the strain variation rate of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored in each preset time interval
Optionally, the analyzing module for the resistance weight coefficient of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored specifically includes:
the survival rate of strains of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored in each preset time intervalAnd the mutation rate of the strainSubstituting into formulaObtaining the resistance weight coefficient psi of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored i r In which α is 1 And alpha 2 Respectively expressed as resistance influence factors of the preset strain survival rate and the strain variation rate on the flora, v is expressed as the number of preset time intervals,andrespectively expressed as the strain survival rate and the strain variation rate of the r-th flora in the corresponding surface area of the ith antibacterial ecological paper to be monitored in the f +1 th preset time interval, and respectively expressed as delta k' and delta pExpressed as a strain survival rate permissive error value and a strain mutation rate permissive error value over a predetermined time interval.
Optionally, the ecological paper antibacterial quality index analysis module analyzes a comprehensive antibacterial quality index of a surface area corresponding to each piece of antibacterial ecological paper to be monitored, and the specific analysis mode is as follows:
the difference value delta d of the thickness of the antibacterial coating at each monitoring point in the surface area corresponding to each antibacterial ecological paper to be monitored ij And activity weight coefficient xi of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored i r And the resistance weight coefficient psi of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored i r Substituting into antibacterial quality index analysis formulaObtaining the comprehensive antibacterial quality index omega of the corresponding surface area of each antibacterial ecological paper to be monitored i In which beta is 1 And beta 2 Respectively expressed as preset antibacterial quality index compensation factors, m is expressed as the number of monitoring points distributed in the surface area of the antibacterial ecological paper to be monitored, and delta d Allow for Expressed as a predetermined thickness tolerance value of the antibacterial coating, u is expressed as the total number of colonies, e is expressed as a constant, δ 1 And delta 2 Expressed as a predetermined microflora activity-affecting factor and a microflora resistance-affecting factor, respectively, and delta 1 +δ 2 =1。
Compared with the prior art, the antibacterial ecological paper antibacterial quality full-flow tracking system based on big data has the following beneficial effects:
according to the big data-based antibacterial ecological paper antibacterial quality full-flow tracking system, the monitoring points are distributed in the surface area of each piece of antibacterial ecological paper to be monitored, the thickness of the antibacterial coating at each monitoring point in the corresponding surface area of each piece of antibacterial ecological paper to be monitored is monitored, and the difference value of the thickness of the antibacterial coating at each monitoring point in the corresponding surface area of each piece of antibacterial ecological paper to be monitored is obtained through comparison, so that the accurate analysis of the uniformity of the surface antibacterial coating of the antibacterial ecological paper is realized, the accuracy of the antibacterial quality analysis result of the later-stage antibacterial ecological paper is ensured, and the problem that the later-stage antibacterial ecological paper cannot achieve the expected antibacterial using effect is solved.
According to the big data-based antibacterial ecological paper antibacterial quality full-flow tracking system, the basic information and the bacterial colony information of each bacterial colony in the corresponding surface area of each piece of antibacterial ecological paper to be monitored in each preset time interval are obtained, the activity weight coefficient and the resistance weight coefficient of each bacterial colony in the corresponding surface area of each piece of antibacterial ecological paper to be monitored are obtained through processing, the comprehensive antibacterial quality index of the corresponding surface area of each piece of antibacterial ecological paper to be monitored is analyzed, each piece of antibacterial ecological paper to be monitored with unqualified antibacterial quality is screened in a contrast mode, and corresponding processing is carried out, so that the antibacterial quality of the antibacterial ecological paper can be accurately tracked in a multi-layer mode, the limitation of the antibacterial ecological paper in the prior art on antibacterial quality analysis is broken, the possibility that the antibacterial ecological paper with unqualified antibacterial quality flows into the market is reduced to the greatest extent, the antibacterial performance requirements of consumers on the antibacterial ecological paper are further met, the use experience of the consumers on the antibacterial ecological paper is increased, and the evaluation of consumers on antibacterial ecological paper production enterprises is further improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a system module connection diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention provides a big data-based antibacterial ecological paper antibacterial quality full-flow tracking system, which comprises a surface area monitoring point arrangement module, an antibacterial coating thickness monitoring module, an antibacterial performance database, a flora basic information acquisition module, a flora activity weight coefficient analysis module, a colony information identification acquisition module, a flora resistance weight coefficient analysis module and a flora resistance weight coefficient analysis module.
The surface area monitoring point distribution module is connected with the antibacterial coating thickness monitoring module, the antibacterial coating thickness monitoring module is respectively connected with the antibacterial performance database and the ecological paper antibacterial quality index analysis module, the flora basic information acquisition module is respectively connected with the flora activity weight coefficient analysis module and the flora information identification acquisition module, the flora information identification acquisition module is respectively connected with the antibacterial performance database and the flora resistance weight coefficient analysis module, and the flora resistance weight coefficient analysis module is respectively connected with the flora activity weight coefficient analysis module and the flora resistance weight coefficient analysis module.
The surface area monitoring point arrangement module is used for arranging monitoring points in the surface area of each piece of antibacterial ecological paper to be monitored and numbering the monitoring points in the corresponding surface area of each piece of antibacterial ecological paper to be monitored.
In one possible design, the specific layout mode corresponding to the surface area monitoring point layout module is as follows:
the method comprises the steps of respectively arranging a plurality of monitoring points in the surface area of the antibacterial ecological paper to be monitored in an evenly distributed mode, wherein the number of the monitoring points arranged in the surface area of the antibacterial ecological paper to be monitored is the same, and numbering the monitoring points in the corresponding surface area of the antibacterial ecological paper to be monitored in sequence according to the arranged time sequence.
The antibacterial coating thickness monitoring module is used for monitoring the thickness of the antibacterial coating at each monitoring point in the surface region corresponding to each piece of antibacterial ecological paper to be monitored, and comparing to obtain the thickness difference of the antibacterial coating at each monitoring point in the surface region corresponding to each piece of antibacterial ecological paper to be monitored.
In one possible design, the antibacterial coating thickness monitoring module compares the antibacterial coating thickness difference values at the monitoring points in the surface region corresponding to the antibacterial ecological paper to be monitored, and the specific comparison process comprises the following steps:
scanning and monitoring each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored by an X-ray detector to obtain the thickness of the antibacterial coating at each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored, extracting the thickness of the standard antibacterial coating on the surface corresponding to the standard antibacterial ecological paper stored in the antibacterial performance database, comparing the thickness of the antibacterial coating at each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored with the thickness of the standard antibacterial coating on the surface corresponding to the standard antibacterial ecological paper to obtain the thickness difference of the antibacterial coating at each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored, and marking the thickness difference of the antibacterial coating at each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored as delta d ij Wherein i =1, 2.. N, i represents the ith antibacterial ecological paper to be monitored, and j =1, 2.. M, j represents the number of the jth monitoring point.
In this embodiment, monitoring points are distributed in the surface area of each piece of antibacterial ecological paper to be monitored, the thickness of the antibacterial coating at each monitoring point in the surface area corresponding to each piece of antibacterial ecological paper to be monitored is monitored, and the difference value of the thickness of the antibacterial coating at each monitoring point in the surface area corresponding to each piece of antibacterial ecological paper to be monitored is obtained through comparison, so that the uniformity of the surface antibacterial coating of the antibacterial ecological paper is accurately analyzed, the accuracy of the antibacterial quality analysis result of the later-stage antibacterial ecological paper is ensured, and the problem that the later-stage antibacterial ecological paper cannot achieve the expected antibacterial using effect is solved.
The antibacterial property database is used for storing the thickness of a standard antibacterial coating on the surface corresponding to the standard antibacterial ecological paper, and storing standard images and standard shapes corresponding to various types of strains.
The flora basic information acquisition module is used for monitoring the corresponding surface area of each piece of antibacterial ecological paper to be monitored in real time and acquiring the basic information of each flora in each preset time interval in the corresponding surface area of each piece of antibacterial ecological paper to be monitored.
In a possible design, the acquiring module of the basic information of florae acquires the basic information of each florae in the corresponding surface area of each antibacterial ecological paper to be monitored in each preset time interval, and specifically includes:
real-time monitoring is carried out on the corresponding surface area of each antibacterial ecological paper to be monitored through a high-definition microscope, high-definition microscopic images of each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored are respectively collected, basic information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored is obtained according to the high-definition microscopic images of each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, the basic information comprises a coverage area, a central position and distribution density, and the coverage area, the central position and the distribution density of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored are respectively marked asWherein r =1, 2.., u, r is denoted as the r-th flora, and f =1, 2.., v, f is denoted as the f-th predetermined time interval.
The flora activity weight coefficient analysis module is used for analyzing and obtaining the activity weight coefficient of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored according to the basic information of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored in each preset time interval.
In one possible design, the activity weight coefficient of each flora in the surface region corresponding to each antibacterial ecological paper to be monitored is obtained by analyzing in the flora activity weight coefficient analysis module, and the specific analysis mode is as follows:
respectively comparing the coverage area, the central position and the distribution density of each flora in each preset time interval in the surface area corresponding to each antibacterial ecological paper to be monitored with the coverage area, the central position and the distribution density corresponding to the next adjacent preset time interval to obtain the coverage area, the central position and the distribution density of each flora in each preset time interval and the next adjacent preset time interval in the surface area corresponding to each antibacterial ecological paper to be monitoredThe covering area difference, the center position offset distance and the distribution density difference of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored are respectively expressed as the covering area difference, the center position offset distance and the distribution density difference of each flora in each preset time interval and the next adjacent preset time intervalWherein f ' =1',2',. ·, v ', and v ' = v-1, and are sequentially substituted into the flora activity weight coefficient analysis formula to obtain activity weight coefficients ξ of all floras in the surface region corresponding to each antibacterial ecological paper to be monitored i r 。
In the above formula, the weight coefficient of bacterial flora activity is analyzed by the formulaXi therein i r Expressed as the activity weight coefficient of the r-th flora in the surface area corresponding to the ith antibacterial ecological paper to be monitored, v' is expressed as the number of preset time intervals, and lambda 1 、λ 2 、λ 3 Respectively expressed as activity influence ratio index delta w 'corresponding to preset flora coverage area difference value, center position offset distance and distribution density difference value' 1 、Δw′ 2 、Δw′ 3 Respectively expressed as the allowable difference of the coverage area of the flora, the allowable offset distance of the central position of the flora and the allowable difference of the distribution density of the flora.
The bacterial colony information identification and acquisition module is used for identifying bacterial colony information of each flora in each preset time interval in the corresponding surface area of each piece of antibacterial ecological paper to be monitored and analyzing the strain survival rate and strain variation rate of each flora in each preset time interval in the corresponding surface area of each piece of antibacterial ecological paper to be monitored.
In a possible design, the colony information identifying and acquiring module identifies colony information of each flora in each preset time interval in a corresponding surface area of each antibacterial ecological paper to be monitored, and specifically includes:
and identifying colony information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored according to the high-definition microscopic image of each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, wherein the colony information comprises the total number of strains, the corresponding survival state of each strain, the corresponding type of each strain and the corresponding shape of each strain, and the corresponding survival state of each strain is the survival state and the death state respectively.
It should be noted that, in the above description, identifying the corresponding type of each bacterial species in each preset time interval of each bacterial population in the corresponding surface area of each antibacterial ecological paper to be monitored includes:
extracting each strain image of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, extracting each type of strain corresponding standard image stored in an antibacterial performance database, comparing each strain image of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored with each type of strain corresponding standard image, counting the similarity between each strain image of each flora in each preset time interval and each type of strain corresponding standard image in the corresponding surface area of each antibacterial ecological paper to be monitored, screening each strain image in each preset time interval of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored, and recording as each strain corresponding type of each flora in each preset time interval of each flora in each surface area of each antibacterial ecological paper to be monitored.
In one possible design, the colony information identification and acquisition module analyzes the survival rate of strains of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, and the specific analysis mode is as follows:
according to the corresponding survival state of each strain in each preset time interval of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored, the survival number of the strains in each preset time interval of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored is counted, the total number of the strains and the survival number of the strains in each preset time interval of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored are substituted into a strain survival rate analysis formula, and the corresponding surface of each antibacterial ecological paper to be monitored is obtainedSurvival rate of strains in each flora in each preset time interval in region
It should be noted that the above formula for analyzing the survival rate of the medium bacterial species isWhereinExpressed as the survival rate of the strains of the r-th flora in the corresponding surface area of the ith antibacterial ecological paper to be monitored in the f-th preset time interval,expressed as the survival number of strains of the r-th flora in the corresponding surface area of the ith antibacterial ecological paper to be monitored in the f-th preset time interval,expressed as the total number of strains of the r-th flora in the corresponding surface area of the ith antibacterial ecological paper to be monitored in the f-th preset time interval.
In one possible design, the bacterial colony information identification and acquisition module analyzes strain variation rates of various bacterial colonies in corresponding surface areas of the antibacterial ecological paper to be monitored in various preset time intervals, and the specific analysis mode is as follows:
extracting standard shapes corresponding to various types of strains stored in an antibacterial performance database, screening to obtain standard shapes corresponding to various strains in preset time intervals in the surface area corresponding to the antibacterial ecological paper to be monitored according to the corresponding types and shapes of various strains in the preset time intervals in the surface area corresponding to the antibacterial ecological paper to be monitored, comparing the corresponding shapes of various strains in the preset time intervals in the surface area corresponding to the antibacterial ecological paper to be monitored with the standard shapes of the various strains, if the corresponding shapes of certain strains in the preset time intervals in the surface area corresponding to the antibacterial ecological paper to be monitored are not matched with the standard shapes of the various strains, carrying out shape variation on the strains in the preset time intervals in the corresponding surface area of the bacteria group to be monitored, and counting the shape variation quantity of various strains in the preset time intervals in the corresponding surface area of the bacteria to be monitored;
substituting the total strain number and the shape variation strain number of each flora in each preset time interval in the surface area corresponding to each antibacterial ecological paper to be monitored into a strain variation rate analysis formula to obtain the strain variation rate of each flora in each preset time interval in the surface area corresponding to each antibacterial ecological paper to be monitored
In the above, the analysis formula of the mutation rate of the bacterial species isWhereinExpressed as the strain variation rate of the r-th flora in the surface area corresponding to the ith antibacterial ecological paper to be monitored in the f-th preset time interval,expressed as the shape variation strain number of the r-th flora in the corresponding surface area of the ith antibacterial ecological paper to be monitored in the f-th preset time interval.
The flora resistance weight coefficient analysis module is used for analyzing the resistance weight coefficient of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored according to the strain survival rate and the strain variation rate of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored.
In a possible design, the analyzing module for the flora resistance weight coefficient analyzes the resistance weight coefficient of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored, and specifically includes:
the survival rate of strains of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored in each preset time intervalAnd the mutation rate of the strainSubstitution formulaObtaining the resistance weight coefficient psi of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored i r In which α is 1 And alpha 2 Respectively expressed as resistance influence factors of the preset strain survival rate and the strain variation rate on the flora, v is expressed as the number of preset time intervals,andrespectively showing the strain survival rate and the strain variation rate of the r-th flora in the surface area corresponding to the ith piece of antibacterial ecological paper to be monitored in the f +1 th preset time interval, and respectively showing a strain survival rate permission error value and a strain variation rate permission error value in the preset time interval by delta k 'and delta p'.
The ecological paper antibacterial quality index analysis module is used for analyzing comprehensive antibacterial quality indexes of corresponding surface areas of the antibacterial ecological paper to be monitored, comparing and screening the antibacterial ecological paper to be monitored, and performing corresponding treatment, wherein the antibacterial ecological paper to be monitored does not reach the antibacterial quality standard.
In a possible design, the ecological paper antibacterial quality index analysis module analyzes the comprehensive antibacterial quality index of the corresponding surface area of each antibacterial ecological paper to be monitored, and the specific analysis mode is as follows:
the difference value delta d of the thickness of the antibacterial coating at each monitoring point in the surface area corresponding to each antibacterial ecological paper to be monitored ij And each bacterium in the corresponding surface area of each antibacterial ecological paper to be monitoredActivity weight coefficient xi of the population i r And the resistance weight coefficient psi of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored i r Substituting into antibacterial quality index analysis formulaObtaining the comprehensive antibacterial quality index omega of the corresponding surface area of each antibacterial ecological paper to be monitored i Wherein beta is 1 And beta 2 Respectively expressed as preset antibacterial quality index compensation factors, m is expressed as the number of monitoring points distributed in the surface area of the antibacterial ecological paper to be monitored, and delta d Allow for Expressed as a predetermined thickness tolerance value of the antibacterial coating, u is expressed as the total number of colonies, e is expressed as a constant, δ 1 And delta 2 Expressed as a predetermined flora activity influence factor and a predetermined flora resistance influence factor, respectively, and delta 1 +δ 2 =1。
It should be noted that, comparing and screening the antibacterial ecological paper to be monitored, the antibacterial ecological paper of which the antibacterial quality does not reach the standard in the ecological paper antibacterial quality index analysis module, and performing corresponding processing specifically include:
and comparing the comprehensive antibacterial quality index of the surface area corresponding to each piece of antibacterial ecological paper to be monitored with the antibacterial quality index threshold corresponding to the preset standard antibacterial ecological paper, if the comprehensive antibacterial quality index of the surface area corresponding to a certain piece of antibacterial ecological paper to be monitored is smaller than the antibacterial quality index threshold corresponding to the preset standard antibacterial ecological paper, indicating that the antibacterial quality of the antibacterial ecological paper to be monitored does not reach the standard, screening and counting each piece of antibacterial ecological paper to be monitored with the antibacterial quality not reaching the standard, and placing each piece of antibacterial ecological paper to be monitored with the antibacterial quality not reaching the standard to an area with the unqualified antibacterial quality.
In the embodiment, the basic information and the bacterial colony information of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored in each preset time interval are obtained, the activity weight coefficient and the resistance weight coefficient of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored are obtained through processing, the comprehensive antibacterial quality index of the surface area corresponding to each antibacterial ecological paper to be monitored is analyzed, each antibacterial ecological paper to be monitored with unqualified antibacterial quality is screened in a contrast mode, and corresponding processing is carried out, so that the multi-layer accurate tracking analysis of the antibacterial quality of the antibacterial ecological paper is achieved, the limitation of the prior art on the antibacterial quality analysis of the antibacterial ecological paper is broken, the probability that the antibacterial ecological paper with unqualified antibacterial quality flows into the market is reduced to the greatest extent, the antibacterial performance requirement of consumers on the antibacterial ecological paper is further met, the use experience of the consumers on the antibacterial ecological paper is increased, and the evaluation of the consumers on the antibacterial ecological paper production is further improved.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (7)
1. The utility model provides an antibiotic ecological paper antibacterial quality full flow tracker based on big data which characterized in that includes:
a surface area monitoring point distribution module: the monitoring points are distributed in the surface area of each antibacterial ecological paper to be monitored, and the monitoring points in the corresponding surface area of each antibacterial ecological paper to be monitored are numbered;
antibacterial coating thickness monitoring module: the device is used for monitoring the thickness of the antibacterial coating at each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored, and comparing to obtain the thickness difference of the antibacterial coating at each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored;
antibacterial performance database: the standard antibacterial coating is used for storing the thickness of a standard antibacterial coating on the corresponding surface of the standard antibacterial ecological paper, and storing standard images and standard shapes corresponding to various types of strains;
a flora basic information acquisition module: the system is used for monitoring the corresponding surface area of each piece of antibacterial ecological paper to be monitored in real time to obtain the basic information of each flora in each preset time interval in the corresponding surface area of each piece of antibacterial ecological paper to be monitored;
the flora activity weight coefficient analysis module comprises: the antibacterial ecological paper monitoring system is used for analyzing and obtaining the activity weight coefficient of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored according to the basic information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored;
bacterial colony information identification acquisition module: the system is used for identifying bacterial colony information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, and analyzing the strain survival rate and strain variation rate of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored;
a flora resistance weight coefficient analysis module: the antibacterial ecological paper is used for analyzing the resistance weight coefficient of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored according to the strain survival rate and the strain variation rate of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored;
the ecological paper antibacterial quality index analysis module comprises: the comprehensive antibacterial quality index analysis system is used for analyzing the comprehensive antibacterial quality index of the corresponding surface area of each piece of antibacterial ecological paper to be monitored, comparing and screening each piece of antibacterial ecological paper to be monitored, the antibacterial quality of which does not reach the standard, and carrying out corresponding treatment;
the flora activity weight coefficient analysis module analyzes and obtains the activity weight coefficient of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored, and the specific analysis mode is as follows:
respectively comparing the coverage area, the central position and the distribution density of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored in each preset time interval with the coverage area, the central position and the distribution density corresponding to the next adjacent preset time interval to obtain the coverage area difference, the central position offset distance and the distribution density difference of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored in each preset time interval and the next adjacent preset time interval, and respectively representing the coverage area difference, the central position offset distance and the distribution density difference of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored in each preset time interval and the next adjacent preset time interval respectivelyWherein f '=1',2', v., v', and v '= v-1, and the f' =1',2', v., v 'and v' = v-1 are sequentially substituted into a flora activity weight coefficient analysis formula to obtain an activity weight coefficient xi of each flora in a surface region corresponding to each antibacterial ecological paper to be monitored i r ;
The method for analyzing the resistance weight coefficient of each flora in the surface area corresponding to each antibacterial ecological paper to be monitored in the flora resistance weight coefficient analysis module specifically comprises the following steps:
the survival rate of strains of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored in each preset time intervalAnd strain mutation rateSubstitution formulaObtaining the resistance weight coefficient psi of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored i r In which α is 1 And alpha 2 Respectively expressed as resistance influence factors of the preset strain survival rate and the strain variation rate on the flora, v is expressed as the number of preset time intervals,andrespectively representing the strain survival rate and the strain variation rate of the r-th flora in the surface area corresponding to the ith antibacterial ecological paper to be monitored in the f +1 th preset time interval, and respectively representing the strain survival rate permission error value and the strain variation rate permission error value in the preset time interval by delta k 'and delta p';
the comprehensive antibacterial quality index of the surface area corresponding to each antibacterial ecological paper to be monitored is analyzed in the ecological paper antibacterial quality index analysis module, and the specific analysis mode is as follows:
the difference value delta d of the thickness of the antibacterial coating at each monitoring point in the surface area corresponding to each antibacterial ecological paper to be monitored ij And activity weight coefficient xi of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored i r And the resistance weight coefficient psi of each flora in the corresponding surface area of each antibacterial ecological paper to be monitored i r Substituting into antibacterial quality index analysis formulaObtaining the comprehensive antibacterial quality index omega of the corresponding surface area of each antibacterial ecological paper to be monitored i Wherein beta is 1 And beta 2 Respectively expressed as preset antibacterial quality index compensation factors, m is expressed as the number of monitoring points distributed in the surface area of the antibacterial ecological paper to be monitored, and delta d Allow for Expressed as a predetermined allowable error value of the thickness of the antibacterial coating layer, u is expressed as the total number of colonies, e is expressed as a constant, δ 1 And delta 2 Expressed as a predetermined microflora activity-affecting factor and a microflora resistance-affecting factor, respectively, and delta 1 +δ 2 =1。
2. The big data-based antibacterial ecological paper antibacterial quality full-flow tracking system according to claim 1, characterized in that: the specific layout mode corresponding to the surface area monitoring point layout module is as follows:
the method comprises the steps of respectively arranging a plurality of monitoring points in the surface area of the antibacterial ecological paper to be monitored in a uniformly-arranged mode, wherein the number of the monitoring points arranged in the surface area of the antibacterial ecological paper to be monitored is the same, and numbering the monitoring points in the corresponding surface area of the antibacterial ecological paper to be monitored in sequence according to the arrangement time sequence.
3. The big data-based antibacterial ecological paper antibacterial quality full-flow tracking system according to claim 1, characterized in that: the thickness difference of the antibacterial coating at each monitoring point in the corresponding surface area of each antibacterial ecological paper to be monitored is obtained by comparison in the antibacterial coating thickness monitoring module, and the specific comparison process is as follows:
scanning and monitoring each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored to obtain the antibacterial coating thickness of each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored, extracting the standard antibacterial coating thickness of the corresponding surface of the standard antibacterial ecological paper stored in the antibacterial performance database, comparing the antibacterial coating thickness of each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored with the standard antibacterial coating thickness of the corresponding surface of the standard antibacterial ecological paper to obtain the antibacterial coating thickness difference value of each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored, and marking the antibacterial coating thickness difference value of each monitoring point in the surface region corresponding to each antibacterial ecological paper to be monitored as delta d ij Wherein i =1, 2.. Multidot.n, i represents the ith antibacterial ecological paper to be monitored, and j =1, 2.. Multidot.m, j represents the number of the jth monitoring point.
4. The big data-based antibacterial ecological paper antibacterial quality full-flow tracking system according to claim 1, characterized in that: the flora basic information acquisition module acquires basic information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, and the method specifically comprises the following steps:
real-time monitoring is carried out on the corresponding surface area of each antibacterial ecological paper to be monitored, high-definition microscopic images of each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored are respectively collected, basic information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored is obtained according to the high-definition microscopic images of each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, wherein the basic information comprises a coverage area, a central position and distribution density, and the coverage area, the central position and the distribution density of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored are respectively marked asWherein r =1,2.U, r is denoted as the r-th flora, f =1, 2.
5. The big data-based antibacterial ecological paper antibacterial quality full-process tracking system according to claim 1, characterized in that: the colony information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored is identified in the colony information identification acquisition module, and the method specifically comprises the following steps:
and identifying colony information of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored according to the high-definition microscopic image of each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, wherein the colony information comprises the total number of strains, the corresponding survival state of each strain, the corresponding type of each strain and the corresponding shape of each strain, and the corresponding survival state of each strain is the survival state and the death state respectively.
6. The big data-based antibacterial ecological paper antibacterial quality full-flow tracking system according to claim 1, characterized in that: the colony information identification acquisition module analyzes the strain survival rate of each flora in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, and the specific analysis mode is as follows:
according to the corresponding survival state of each strain in each preset time interval in each corresponding surface area of the antibacterial ecological paper to be monitored, the survival number of each strain in each preset time interval in each corresponding surface area of the antibacterial ecological paper to be monitored is counted, the total number of the strains and the survival number of each strain in each preset time interval in each corresponding surface area of the antibacterial ecological paper to be monitored are substituted into a strain survival rate analysis formula, and the strain survival rate of each strain in each preset time interval in each corresponding surface area of the antibacterial ecological paper to be monitored is obtained
7. The big data-based antibacterial ecological paper antibacterial quality full-process tracking system according to claim 1, characterized in that: the bacterial colony information identification acquisition module analyzes strain variation rate of each bacterial colony in each preset time interval in the corresponding surface area of each antibacterial ecological paper to be monitored, and the specific analysis mode is as follows:
extracting standard shapes corresponding to various types of strains stored in an antibacterial performance database, screening to obtain standard shapes corresponding to various strains in preset time intervals in the surface area corresponding to the antibacterial ecological paper to be monitored according to the corresponding types and shapes of various strains in the preset time intervals in the surface area corresponding to the antibacterial ecological paper to be monitored, comparing the corresponding shapes of various strains in the preset time intervals in the surface area corresponding to the antibacterial ecological paper to be monitored with the standard shapes of the various strains, if the corresponding shapes of certain strains in the preset time intervals in the surface area corresponding to the antibacterial ecological paper to be monitored are not matched with the standard shapes of the various strains, carrying out shape variation on the strains in the preset time intervals in the corresponding surface area of the bacteria group to be monitored, and counting the shape variation quantity of various strains in the preset time intervals in the corresponding surface area of the bacteria to be monitored;
substituting the total strain number and the shape variation strain number of each flora in each preset time interval in the surface area corresponding to each antibacterial ecological paper to be monitored into a strain variation rate analysis formula to obtain the strain variation rate of each flora in each preset time interval in the surface area corresponding to each antibacterial ecological paper to be monitored
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2013024587A (en) * | 2011-07-15 | 2013-02-04 | Clear Office Kk | Method for evaluating antimicrobial performance of antimicrobial finished product |
CN107256426A (en) * | 2017-06-19 | 2017-10-17 | 湖北省食品药品监督检验研究院 | A kind of drug safety confidence index system and construction method based on intelligent algorithm |
CN112579975A (en) * | 2020-11-25 | 2021-03-30 | 南京珀煦软件科技有限公司 | Environmental parameter monitoring management system based on big data visual analysis |
CN113820337A (en) * | 2021-11-24 | 2021-12-21 | 深圳市丰用实业集团有限公司 | Machine vision-based antibacterial ecological plate production and manufacturing quality detection early warning system |
CN114155970A (en) * | 2021-11-25 | 2022-03-08 | 贵州医科大学附属医院 | Clinical lung infection data information processing method and system based on big data |
-
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2013024587A (en) * | 2011-07-15 | 2013-02-04 | Clear Office Kk | Method for evaluating antimicrobial performance of antimicrobial finished product |
CN107256426A (en) * | 2017-06-19 | 2017-10-17 | 湖北省食品药品监督检验研究院 | A kind of drug safety confidence index system and construction method based on intelligent algorithm |
CN112579975A (en) * | 2020-11-25 | 2021-03-30 | 南京珀煦软件科技有限公司 | Environmental parameter monitoring management system based on big data visual analysis |
CN113820337A (en) * | 2021-11-24 | 2021-12-21 | 深圳市丰用实业集团有限公司 | Machine vision-based antibacterial ecological plate production and manufacturing quality detection early warning system |
CN114155970A (en) * | 2021-11-25 | 2022-03-08 | 贵州医科大学附属医院 | Clinical lung infection data information processing method and system based on big data |
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