1. An intelligent manufacturing industrial production data acquisition and analysis method is characterized in that: the method comprises the following steps:

s1, counting the number of production machines: counting the quantity of each production machine of the factory, numbering the counted production machines according to a preset sequence, and sequentially marking the production machines as 1, 2,... i,. n;

s2, acquiring basic information of the production machine: the basic information acquisition of the machine is used for acquiring basic information corresponding to each production machine of the factory, wherein the basic information of the production machine comprises a use area position, a use duration, maintenance times and an original design three-dimensional model corresponding to a production component of the production machine, and further a basic information set J of each production machine is constructed_e(J_e1,J_e2,..J_ei,...J_en)，J_ei represents the e-th basic information corresponding to the ith machine of the factory, e represents the basic information of the machine, and e is a1, a2, a3, a4, a1, a2, a3 and a4 respectively represent the position of a use area corresponding to the production machine, the use duration, the maintenance times and the original design three-dimensional model corresponding to the production component of the production machine;

s3, acquiring the number of production components: acquiring the number of production components corresponding to each production machine in the acquisition time period, numbering the production components corresponding to each production machine according to a preset sequence, and sequentially marking the production components as 1, 2,. j,. m;

s4, establishing a three-dimensional model of the production component: the production component three-dimensional model is used for establishing a three-dimensional model corresponding to each production component of each production machine, and the established three-dimensional model is recorded as an actual three-dimensional model;

s5, detecting defects of the produced component: the production component defect detection is used for detecting the defect information corresponding to each production component of each production machine so as to obtain the defect information corresponding to each production component of each production machine;

s6, detecting the roughness of the produced component: the production component roughness detection is used for detecting the roughness corresponding to each production component of each production machine and acquiring the roughness corresponding to the surface of each production component of each production machine;

s7, analyzing the detection information of the production component: the production component detection information analysis is used for analyzing the three-dimensional model, the defect information and the roughness corresponding to each production component of each production machine, counting the comprehensive production quality qualified influence coefficient of each production component of each production machine, and further analyzing the machine needing to be pre-warned and the basic information corresponding to each machine needing to be pre-warned;

s8, production machine information early warning: and sending the basic information corresponding to the production machines to be early-warned to production machine management personnel corresponding to the factory according to the analyzed basic information corresponding to the production machines to be early-warned to manage the production early-warning machines.

2. The intelligent manufacturing industrial production data acquisition and analysis method according to claim 1, characterized in that: the production component three-dimensional model building device comprises a plurality of information detection units and a laser range finder, wherein the information detection units are respectively used for collecting information required by building a three-dimensional model for each production component of each production machine and further detecting each size information of each production component of each production machine by using the laser range finder, the size information corresponding to the production component comprises the length, the width and the thickness corresponding to the production component, meanwhile, the three-dimensional laser scanner in the information detection units is used for scanning and shooting each production component of each production machine, so that a three-dimensional graph corresponding to each production component of each production machine is obtained, the detected size information and the detected three-dimensional graph corresponding to each production component of each production machine are guided into a third-party website, and then the three-dimensional model corresponding to each production component of each production machine is generated.

3. The intelligent manufacturing industrial production data acquisition and analysis method according to claim 1, characterized in that: the defect detection of the production components comprises a plurality of defect detection units, wherein the defect detection units are respectively used for detecting defect information corresponding to each production component of each production machine, and then an industrial CT nondestructive detector of the defect detection units is used for scanning and shooting each production component of each production machine, so that a three-dimensional image corresponding to each production component of each production machine is obtained, the number of bubbles corresponding to each component in the three-dimensional image of each production component of the machine and the area corresponding to each bubble are obtained, and then a defect information set H of each production component of each production machine is constructed_w ^d(H_w ^d1,H_w ^d2,...H_w ^dj,...H_w ^dm)，H_w ^dj represents w-th defect information corresponding to j-th production component of the d-th machine of the factory, w represents the defect information, w is a1, a2, a1 and a2 respectively represent the number of bubbles corresponding to the component and the area corresponding to each bubble, d represents the number of the machine of the factory, d is 1, 2, 1.

4. The intelligent manufacturing industrial production data acquisition and analysis method according to claim 1, characterized in that: the roughness detection of the production components comprises a plurality of roughness detectors which are respectively used for detecting the roughness corresponding to the surface of each production component of each production machine, and further carrying out detection point arrangement on the surface of each production component of each production machine according to a preset sequence, numbering the detection points arranged on the surface of each production component of each production machine according to the preset sequence, sequentially marking the detection points as 1, 2, 1_d ^r(C_d ^r1,C_d ^r2,...C_d ^rx,...C_d ^ry)，C_d ^rx represents the roughness corresponding to the x-th detection point of the ith production component of the ith machine of the factory, r represents the production component number corresponding to each production machine, and r is 1, 2.

5. The intelligent manufacturing industrial production data acquisition and analysis method according to claim 1, characterized in that: the production component detection information analysis is used for analyzing the actual three-dimensional models corresponding to the production components of the production machines, acquiring the original design three-dimensional models corresponding to the production components of the production machines of the factory according to the basic information set of the production machines, acquiring the actual three-dimensional models corresponding to the production components of the production machines, comparing the actual three-dimensional models constructed by the production machines with the original design three-dimensional models of the production components of the production machines, and counting the qualified influence coefficients of the actual three-dimensional models of the production components of the production machines.

6. The intelligent manufacturing industrial production data acquisition and analysis method according to claim 1, characterized in that: the production component detection information analysis is used for analyzing the defect information corresponding to each production component of each production machine, acquiring the defect information set of each production component of each production machine, further acquiring the number of internal bubbles corresponding to each production component of each production machine and the area corresponding to each bubble, further acquiring the comprehensive bubble area corresponding to each production component of each production machine, comparing the comprehensive bubble area corresponding to each production component of each production machine with the threshold value of the standard bubble area corresponding to each production component, and further counting the qualified influence coefficient of the bubbles in each production component of each production machine.

7. The intelligent manufacturing industrial production data acquisition and analysis method according to claim 1, characterized in that: and the production component detection information analysis is used for analyzing the surface roughness corresponding to each production component of each production machine, and counting the qualified influence coefficient of the roughness of each production component of each production machine according to the acquired roughness set of each detection point of each production component of each production machine.

8. The intelligent manufacturing industrial production data acquisition and analysis method according to claim 1, characterized in that: the production component detection analysis is used for comprehensively analyzing the three-dimensional models, the defect information and the roughness corresponding to the production components of the production machines, and further counting the comprehensive production quality qualified influence coefficients of the production components of the production machines according to the counted actual three-dimensional model qualified influence coefficients of the production components of the production machines, the qualified influence coefficients of bubbles inside the production components of the production machines and the qualified influence coefficients of the roughness of the production components of the production machines.

9. An apparatus, characterized by: the method comprises the following steps: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieves a computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method of any of claims 1-8.

10. A computer storage medium, wherein a computer program is burned into the computer storage medium, and when the computer program runs in a memory of a server, the computer program implements the method according to any one of claims 1 to 8.

Background

The manufacturing industry is a major pillar for the development of various industries and also an important power for promoting the development of various industries, the development of the manufacturing industry plays an important role in the development of various industries, and in order to effectively improve the production efficiency and the production stability of the manufacturing industry, the production data of the manufacturing industry needs to be acquired and analyzed;

the existing manufacturing industry production data acquisition and analysis method mainly focuses on data acquisition and analysis of production progress and production materials corresponding to the manufacturing industry, and does not analyze production quality of production machines and production components of the production machines of the manufacturing industry, so that the existing manufacturing industry production data acquisition and analysis method has the following disadvantages:

1. the data acquired by the existing manufacturing industrial production data acquisition and analysis method has limitations, and the referential and accuracy of the manufacturing industrial production data analysis result cannot be effectively improved;

2. the existing method for acquiring and analyzing the data of the manufacturing industry production cannot effectively improve the utilization rate and the utilization effect of the data analysis result of the manufacturing industry production;

3. the existing production data acquisition and analysis method for the manufacturing industry effectively improves the production efficiency and the production stability of the manufacturing industry;

4. the existing manufacturing industrial production data acquisition and analysis method cannot effectively guarantee the corresponding production quality of the produced components, and cannot effectively improve the intelligence, scientificity and smoothness of the manufacturing industrial production.

Disclosure of Invention

In view of the above, in order to solve the problems in the background art, a method, a device and a computer storage medium for collecting and analyzing data in intelligent manufacturing industrial production are provided, so that efficient collection and accurate analysis of industrial production data are realized;

the purpose of the invention can be realized by the following technical scheme:

the invention provides a first aspect of an intelligent manufacturing industrial production data acquisition and analysis method, which comprises the following steps:

s1, counting the number of production machines: counting the quantity of each production machine of the factory, numbering the counted production machines according to a preset sequence, and sequentially marking the production machines as 1, 2,... i,. n;

s2 production machine baseThis information acquisition: the basic information acquisition of the machine is used for acquiring basic information corresponding to each production machine of the factory, wherein the basic information of the production machine comprises a use area position, a use duration, maintenance times and an original design three-dimensional model corresponding to a production component of the production machine, and further a basic information set J of each production machine is constructed_e(J_e1,J_e2,..J_ei,...J_en)，J_ei represents the e-th basic information corresponding to the ith machine of the factory, e represents the basic information of the machine, and e is a1, a2, a3, a4, a1, a2, a3 and a4 respectively represent the position of a use area corresponding to the production machine, the use duration, the maintenance times and the original design three-dimensional model corresponding to the production component of the production machine;

s3, acquiring the number of production components: acquiring the number of production components corresponding to each production machine in the acquisition time period, numbering the production components corresponding to each production machine according to a preset sequence, and sequentially marking the production components as 1, 2,. j,. m;

s4, establishing a three-dimensional model of the production component: the production component three-dimensional model is used for establishing a three-dimensional model corresponding to each production component of each production machine, and the established three-dimensional model is recorded as an actual three-dimensional model;

s5, detecting defects of the produced component: the production component defect detection is used for detecting the defect information corresponding to each production component of each production machine so as to obtain the defect information corresponding to each production component of each production machine;

s6, detecting the roughness of the produced component: the production component roughness detection is used for detecting the roughness corresponding to each production component of each production machine and acquiring the roughness corresponding to the surface of each production component of each production machine;

s7, analyzing the detection information of the production component: the production component detection information analysis is used for analyzing the three-dimensional model, the defect information and the roughness corresponding to each production component of each production machine, counting the comprehensive production quality qualified influence coefficient of each production component of each production machine, and further analyzing the production machine needing early warning and the basic information corresponding to each production machine needing early warning;

s8, production machine information early warning: and sending the basic information corresponding to the production machines to be early-warned to production machine management personnel corresponding to the factory according to the analyzed basic information corresponding to the production machines to be early-warned to perform early-warning production machine management.

Preferably, the three-dimensional model building of the production component includes a plurality of information detection units, which are respectively used for collecting information required for building a three-dimensional model for each production component of each production machine, and further detecting each size information of each production component of each production machine by using a laser range finder, wherein the size information corresponding to the production component includes a length, a width and a thickness corresponding to the production component, and simultaneously, each production component of each production machine is scanned and shot by using a three-dimensional laser scanner in the information detection unit, so as to obtain a three-dimensional figure corresponding to each production component of each production machine, and the detected size information and three-dimensional figure corresponding to each production component of each production machine are imported into a third-party website, so as to generate a three-dimensional model corresponding to each production component of each production machine.

Preferably, the defect detection unit of the production component is used for detecting the defect information corresponding to each production component of each production machine, and then scanning and shooting each production component of each production machine by using an industrial CT nondestructive detector of the defect detection unit, and then acquiring a three-dimensional image corresponding to each production component of each production machine, and further acquiring the number of bubbles corresponding to each production component in the three-dimensional image of each production component of the production machine and the area corresponding to each bubble, and further constructing a defect information set H of each production component of each production machine_w ^d(H_w ^d1,H_w ^d2,...H_w ^dj,...H_w ^dm)，H_w ^dj represents w-th defect information corresponding to j-th production component of the d-th production machine of the factory, w represents the defect information, w is a1, a2, a1 and a2 respectively represent the number of bubbles corresponding to the component and the area corresponding to each bubble, d represents the serial number of the production machine of the factory, d is 1, 2.

Preferably, the production component roughness measurement comprises a number of coarsenessThe roughness detector is used for detecting the roughness corresponding to the surfaces of the production components of the production machines respectively, further arranging detection points on the surfaces of the production components of the production machines according to a preset sequence, numbering the detection points arranged on the surfaces of the production components of the production machines according to the preset sequence, and sequentially marking the detection points as 1, 2, a_d ^r(C_d ^r1,C_d ^r2,...C_d ^rx,...C_d ^ry)，C_d ^rx represents the roughness corresponding to the x-th detection point of the r-th production component of the d-th production machine of the factory, r represents the production component number corresponding to each production machine, and r is 1, 2.

Preferably, the production component detection information analysis is used for analyzing the actual three-dimensional models corresponding to the production components of the production machines, further acquiring the original design three-dimensional models corresponding to the production components of the production machines of the factory according to the basic information sets of the production machines, simultaneously acquiring the actual three-dimensional models corresponding to the production components of the production machines, comparing the actual three-dimensional models constructed by the production of the production machines with the original design three-dimensional models of the production components of the production machines, and further counting the qualified influence coefficients of the actual three-dimensional models of the production components of the production machines.

Preferably, the production component detection information analysis is used for analyzing the defect information corresponding to each production component of each production machine, obtaining a defect information set of each production component of each production machine, further obtaining the number of internal bubbles corresponding to each production component of each production machine and the area corresponding to each bubble, further obtaining the comprehensive bubble area corresponding to each production component of each production machine, comparing the comprehensive bubble area corresponding to each production component of each production machine with the threshold value of the standard bubble area corresponding to each production component of each production machine, and further counting the qualified influence coefficient of bubbles inside each production component of each production machine.

Preferably, the analysis of the detection information of the production components is used for analyzing the surface roughness corresponding to each production component of each production machine, and the qualified influence coefficient of the roughness of each production component of each production machine is counted according to the acquired roughness set of each detection point of each production component of each production machine.

Preferably, the production component detection analysis is used for comprehensively analyzing the three-dimensional model, the defect information and the roughness corresponding to each production component of each production machine, and further, according to the statistical qualification influence coefficient of the actual three-dimensional model of each production component of each production machine, the qualification influence coefficient of the air bubbles inside each production component of each production machine and the qualification influence coefficient of the roughness of each production component of each production machine, the statistical qualification influence coefficient of the comprehensive production quality of each production component of each production machine.

A second aspect of the invention provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves a computer program from the non-volatile memory via the network interface when running, and runs the computer program via the memory to perform any of the methods of the invention.

A third aspect of the present invention provides a computer storage medium, in which a computer program is burned, and when the computer program runs in a memory of a server, the computer program implements the method according to any one of the above-mentioned embodiments.

The invention has the beneficial effects that:

(1) according to the intelligent manufacturing industrial production data acquisition and analysis method provided by the invention, the three-dimensional models, the defect information and the roughness corresponding to each production component of each production machine are comprehensively detected and carefully analyzed, so that the problems that the data acquired by the existing manufacturing industrial production data acquisition and analysis method is limited and the reference and the accuracy of the manufacturing industrial production data analysis result cannot be effectively improved are effectively solved, the utilization rate and the utilization effect of the manufacturing industrial production data analysis result are greatly improved, the production efficiency and the production stability of the manufacturing industry are effectively ensured, and the intelligence, the scientificity and the smoothness of the manufacturing industrial production can be greatly improved.

(2) The invention provides a powerful information basis for the subsequent analysis of the size and the shape of each production component of each production machine by establishing the actual three-dimensional model of each production component of each production machine, and also effectively improves the analysis efficiency of the three-dimensional model of each production component of each production machine and the accuracy of an analysis result.

(3) When the invention is used for detecting the defects of all production components of all production machines, the industrial CT nondestructive detector is used for detecting, so that the intuition and the accuracy of the defect information detection of all production components of all production machines are greatly improved, and the detection efficiency of all production components of all production machines is also greatly 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 diagram of the steps of the method of the present invention.

Detailed Description

While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.

Referring to fig. 1, a first aspect of the present invention provides a method for collecting and analyzing data of an intelligent manufacturing industry, the method comprising the following steps:

s1, counting the number of production machines: counting the number of the factory production machines, numbering the counted production machines according to a preset sequence, and sequentially marking the production machines as 1, 2,... i,. n;

s2, acquiring basic information of the production machine: the basic information acquisition of the machine is used for acquiring basic information corresponding to each production machine of the factory, wherein the basic information of the production machine comprises a use area position, a use duration, maintenance times and an original design three-dimensional model corresponding to a production component of the production machine, and further a basic information set J of each production machine is constructed_e(J_e1,J_e2,..J_ei,...J_en)，J_ei represents the e-th basic information corresponding to the ith machine of the factory, e represents the basic information of the machine, and e is a1, a2, a3, a4, a1, a2, a3 and a4 respectively represent the position of a use area corresponding to the production machine, the use duration, the maintenance times and the original design three-dimensional model corresponding to the production component of the production machine;

s3, acquiring the number of production components: acquiring the number of production components corresponding to each production machine in the acquisition time period, numbering the production components corresponding to each production machine according to a preset sequence, and sequentially marking the production components as 1, 2,. j,. m;

s4, establishing a three-dimensional model of the production component: the production component three-dimensional model is used for establishing a three-dimensional model corresponding to each production component of each production machine, and the established three-dimensional model is recorded as an actual three-dimensional model;

specifically, the three-dimensional model building of the production component comprises a plurality of information detection units which are respectively used for collecting information required by building the three-dimensional model of each production component of each production machine and further detecting each size information corresponding to each production component of each production machine by using a laser range finder, wherein the size information corresponding to the production component comprises the length, the width and the thickness corresponding to the production component, meanwhile, each production component of each production machine is scanned and shot by using a three-dimensional laser scanner in the information detection units so as to obtain a three-dimensional figure corresponding to each production component of each production machine, and the detected size information and three-dimensional figure corresponding to each production component of each production machine are imported into a third-party website so as to generate the three-dimensional model corresponding to each production component of each production machine.

According to the embodiment of the invention, the three-dimensional model is established for each production component of each production machine, so that a powerful information basis is provided for the subsequent analysis of the size and the shape of each production component of each production machine, and the analysis efficiency of the three-dimensional model of each production component of each production machine and the accuracy of the analysis result are effectively improved.

S5, detecting defects of the produced component: the production component defect detection is used for detecting the defect information corresponding to each production component of each production machine so as to obtain the defect information corresponding to each production component of each production machine;

specifically, the defect detection of the production components comprises a plurality of defect detection units, which are respectively used for detecting the defect information corresponding to each production component of each production machine, and then scanning and shooting each production component of each production machine by using an industrial CT nondestructive detector of the defect detection units, further acquiring the three-dimensional image corresponding to each production component of each production machine, further acquiring the number of bubbles corresponding to each production component in the three-dimensional image of each production component of each production machine and the area corresponding to each bubble, and further constructing a defect information set H of each production component of each production machine_w ^d(H_w ^d1,H_w ^d2,...H_w ^dj,...H_w ^dm)，H_w ^dj represents w-th defect information corresponding to j-th production component of the d-th production machine of the factory, w represents the defect information, w is a1, a2, a1 and a2 respectively represent the number of bubbles corresponding to the component and the area corresponding to each bubble, d represents the serial number of the production machine of the factory, d is 1, 2.

When the embodiment of the invention is used for detecting the defects of all production components of all production machines, the industrial CT nondestructive detector is used for detecting, so that the intuition and the accuracy of the defect information detection of all production components of all production machines are greatly improved, and meanwhile, the detection efficiency of all production components of all production machines is also greatly improved.

S6, detecting the roughness of the produced component: the production component roughness detection is used for detecting the roughness corresponding to each production component of each production machine and acquiring the roughness corresponding to the surface of each production component of each production machine;

specifically, the roughness detection of the production components comprises a plurality of roughness detectors, which are respectively used for detecting the roughness corresponding to the surface of each production component of each production machine, and further carrying out detection point arrangement on the surface of each production component of each production machine according to a preset sequence, numbering the detection points arranged on the surface of each production component of each production machine according to the preset sequence, and sequentially marking the detection points as 1, 2, 1_d ^r(C_d ^r1,C_d ^r2,...C_d ^rx,...C_d ^ry)，C_d ^rx represents the roughness corresponding to the x-th detection point of the r-th production component of the d-th production machine of the factory, r represents the production component number corresponding to each production machine, and r is 1, 2.

When the roughness of each production component of each production machine is detected, the detection points on the surface of each production component are distributed, so that the accuracy and the reference of the detection result corresponding to the roughness of each production component of each production machine are greatly improved, and an effective data base is provided for the subsequent analysis of the roughness of each production component of each production machine.

S7, analyzing the detection information of the production component: the production component detection information analysis is used for analyzing the three-dimensional model, the defect information and the roughness corresponding to each production component of each production machine, counting the comprehensive production quality qualified influence coefficient of each production component of each production machine, and further analyzing the production machine needing early warning and the basic information corresponding to each production machine needing early warning;

specifically, the production component detection information analysis is used for analyzing the actual three-dimensional models corresponding to the production components of the production machines, further acquiring the original design three-dimensional models corresponding to the production components of the production machines of the factory according to the basic information set of the production machines, simultaneously acquiring the actual three-dimensional models corresponding to the production components of the production machines, comparing the actual three-dimensional models constructed by the production of the production machines with the original design three-dimensional models of the production components of the production machines, and further counting the qualified influence coefficients of the actual three-dimensional models of the production components of the production machines.

The method comprises the following steps that the actual three-dimensional models corresponding to all production components of all production machines are specifically analyzed, wherein the actual three-dimensional models constructed by all production machines in production are compared with the original design three-dimensional models of the production components of all production machines, and the shape comparison and the size comparison are carried out;

the specific comparison process of the dimension comparison of the actual three-dimensional models of the production components of the production machines comprises the steps of obtaining dimension information corresponding to the components in the actual three-dimensional models produced and constructed by the production machines and dimension information corresponding to the components in the three-dimensional models originally designed by the production components of the production machines, comparing the dimension information corresponding to the components in the actual three-dimensional models produced and constructed by the production machines with the dimension information corresponding to the components in the three-dimensional models originally designed by the production components of the production machines, and counting the comprehensive qualified influence coefficient of the dimension information of the production components of the production machines, wherein the calculation formula is thatα_d ^rC1, which is a comprehensive acceptable influence coefficient corresponding to the size information of each component of the ith production machine of the factory_d ^r,c2_d ^r,c3_d ^rRespectively representing the length, width and thickness, c1 ', of each member of the rd production machine of the plant'_d,c2′_d,c3′_dRespectively representing the corresponding length, width and thickness in the original design model of the production component of the d-th production machine of the factory;

the specific comparison process for comparing the shapes of the actual three-dimensional models of the production components of the production machines is as follows: overlapping and comparing each production constructed actual three-dimensional model of each production machine with a corresponding component in each production machine production component original design three-dimensional model, acquiring the overlapping area of the component in each production constructed actual three-dimensional model of each production machine and the corresponding component in each production machine production component original design three-dimensional model, recording the area as the overlapping area of the production component, and recording the overlapping area of each production component of each production machine and the corresponding overlapping area of the production componentComparing the standard areas, and counting the qualified influence coefficients of the shapes of the production components of the production machines, wherein the calculation formula isβ_d ^rRepresenting the shape qualification influence coefficient, M, corresponding to the r-th production component of the d-th production machine of the plant_d ^rDenotes the area corresponding to the overlap area of the r-th production component of the d-th production machine of the plant, M_{Standard of merit}Representing a standard area corresponding to an overlapping area of the production component;

according to the statistical comprehensive qualified influence coefficient of the dimension information of each production component of each production machine and the qualified influence coefficient of the shape of each production component of each production machine, the qualified influence coefficient of the actual three-dimensional model of each production component of each production machine is calculated, and the calculation formula isδ_d ^rAnd the qualified influence coefficient corresponding to the actual three-dimensional model of the r-th production component of the d-th production machine of the factory is represented.

Specifically, the production component detection information analysis is used for analyzing the defect information corresponding to each production component of each production machine, acquiring a defect information set of each production component of each production machine, further acquiring the number of internal bubbles corresponding to each production component of each production machine and the area corresponding to each bubble, further acquiring the comprehensive bubble area corresponding to each production component of each production machine, comparing the comprehensive bubble area corresponding to each production component of each production machine with the threshold value of the standard bubble area corresponding to each production component of each production machine, and further counting the qualified influence coefficient of the bubbles inside each production component of each production machine.

Wherein the qualified influence coefficient calculation formula of the bubbles in each production component of each production machine isλ_d ^rA qualified influence coefficient F representing the correspondence of the bubbles in the r-th production member of the d-th production machine of the plant_d ^rIndicates the corresponding integrated bubble area, F, inside the r production member of the d production machine of the plant_{Standard of merit}A threshold value representing the area of the corresponding standard bubble inside the production member.

Specifically, the analysis of the detection information of the production components is used for analyzing the surface roughness corresponding to each production component of each production machine, and the qualified influence coefficient of the roughness of each production component of each production machine is counted according to the acquired roughness set of each detection point of each production component of each production machine.

Wherein, the specific analysis process of the surface roughness of each production component of each production machine is as follows: obtaining roughness corresponding to each detection point of each production component of each production machine according to the obtained roughness set of each detection point of each production component of each production machine, mutually comparing the roughness corresponding to each detection point of each production component of each production machine, screening out minimum roughness corresponding to each production component of each production machine, comparing the minimum roughness corresponding to each production component of each production machine with standard roughness corresponding to the production component, and further counting the qualified influence coefficient of the roughness of each production component of each production machine, wherein the calculation formula isγ_d ^rRepresenting the acceptable influence coefficient, C, corresponding to the roughness of the r-th production component of the d-th production machine of the factory_dmin ^rThe minimum roughness corresponding to the r production component of the d production machine of the factory is shown.

Specifically, the production component detection analysis is used for comprehensively analyzing the three-dimensional model, the defect information and the roughness corresponding to each production component of each production machine, and further counting the comprehensive production quality qualified influence coefficient of each production component of each production machine according to the counted actual three-dimensional model qualified influence coefficient of each production component of each production machine, the qualified influence coefficient of air bubbles inside each production component of each production machine and the qualified influence coefficient of the roughness of each production component of each production machine, wherein the calculation formula is thatQ_d ^rRepresents the comprehensive production quality qualified influence coefficient corresponding to the r production component of the d production machine of the factory,

wherein, the comprehensive analysis of the detection information of the production components further comprises comparing the comprehensive production quality qualification influence coefficient of each production component of each production machine with the standard production quality qualification influence coefficient corresponding to the production component, if the comprehensive production quality qualification influence coefficient corresponding to a production component of a certain production machine is greater than the standard quality qualification influence coefficient corresponding to the production component, marking the generated component of the production machine as an abnormal production component, counting the number of the abnormal production components of each production machine in the acquisition time period, comparing the number corresponding to the abnormal production components of each production machine with the number corresponding to the production components of each production machine in the acquisition time period, counting the abnormal ratio of the production components of each production machine, comparing the abnormal ratio of the production components of each production machine with the preset abnormal ratio of the early warning production components of the production machine, if the abnormal ratio of the production components corresponding to a production machine is greater than the preset abnormal ratio of the early warning production components of the production machine, recording the production machine as an early warning production machine, counting the number corresponding to the early warning production machine, extracting the number corresponding to each early warning production machine, and acquiring the use area position, the use time and the maintenance frequency corresponding to each early warning production machine according to the number corresponding to each early warning production machine.

According to the embodiment of the invention, through carrying out comprehensive detection and careful analysis on the three-dimensional model, the defect information and the roughness corresponding to each production component of each production machine, on one hand, the problems that the data acquired by the existing manufacturing industrial production data acquisition and analysis method has limitation and the referential performance and the accuracy of the manufacturing industrial production data analysis result cannot be effectively improved are effectively solved, on the other hand, the utilization rate and the utilization effect of the manufacturing industrial production data analysis result are greatly improved, on the one hand, the production efficiency and the production stability of the manufacturing industry are effectively ensured, and on the other hand, the intelligence, the scientificity and the smoothness of the manufacturing industrial production can be greatly improved.

S8, production machine information early warning: and sending the basic information corresponding to the production machines to be early-warned to production machine management personnel corresponding to the factory according to the analyzed basic information corresponding to the production machines to be early-warned to perform early-warning production machine management.

Specifically, the production machine information early warning is used for sending the number of early warning production machines corresponding to the factory, the use area position, the use duration and the maintenance frequency corresponding to each early warning production machine to the production machine management personnel corresponding to the factory.

A second aspect of the invention provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves a computer program from the non-volatile memory via the network interface when running, and runs the computer program via the memory to perform any of the methods of the invention.

A third aspect of the present invention provides a computer storage medium, in which a computer program is burned, and when the computer program runs in a memory of a server, the computer program implements the method according to any one of the above-mentioned embodiments.

According to the embodiment of the invention, the early warning information is sent to the production machine management personnel corresponding to the factory, so that the production stability of the factory is greatly improved, and the production progress of the factory is greatly ensured.

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.