CN113485268B - Industrial Internet of things-based multi-scene distributed information control system - Google Patents

Industrial Internet of things-based multi-scene distributed information control system Download PDF

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CN113485268B
CN113485268B CN202110802963.3A CN202110802963A CN113485268B CN 113485268 B CN113485268 B CN 113485268B CN 202110802963 A CN202110802963 A CN 202110802963A CN 113485268 B CN113485268 B CN 113485268B
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CN113485268A (en
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陈运烽
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Shenzhen Yibaidu Technology Co ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G05B19/41885Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32339Object oriented modeling, design, analysis, implementation, simulation language
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention discloses a multi-scene distributed type information control system based on an industrial Internet of things, which comprises a scene distribution acquisition module, a scene parameter analysis module, a virtual degree processing simulation module, a scene association evaluation module, a tracking calibration module and an information control platform, wherein the information control platform adjusts processing parameters and process environment parameters in processing procedures associated with comprehensive fault evaluation coefficients larger than a fault evaluation coefficient threshold value, the invention can analyze product stage conformity coefficient under each processing procedure, comprehensively evaluate the comprehensive fault evaluation coefficient of each processing procedure affected by the prior processing procedure according to the product stage conformity coefficient and the correlation influence coefficient among the processing procedures, track the processing parameters and the process environment parameters in the related processing procedures through the numerical value of the comprehensive fault evaluation coefficient, and perform optimization control on the post-processing parameters and the process environment parameters, the intelligent and informationized tracking management and control system has the characteristics of intellectualization and informatization.

Description

Industrial Internet of things-based multi-scene distributed type information control system
Technical Field
The invention belongs to the field of industrial application, and relates to a multi-scene distributed type information control system based on an industrial Internet of things.
Background
Along with the development of the power industry, the product quality and the application requirements of electrical equipment are increasingly greater, in order to continuously meet the requirements of the industry, strict management and control are required to be performed on the manufacturing process of the electrical equipment, and the transformer is particularly wide in application range and plays a vital role in household electrical equipment, large-scale electrical equipment and power transportation.
At present, the manufacturing processes of transformers are various, once one of the manufacturing processes fails, the subsequent processing steps of the transformers are seriously affected, the yield of the transformers is greatly reduced, and the cost is increased, many manufacturing processes in the manufacturing processes of the transformers are related, whether each manufacturing process meets the processing requirements or not is affected by the processing environment parameters and the processing parameters together, but the prior art cannot analyze the deviation degree of the processing environment parameters according to the environment parameters in the product processing process, and further cannot regulate and control the processing environment conditions in the product manufacturing process, meanwhile, the prior art cannot analyze the matching degree between the semi-finished products in each process and the standard qualified semi-finished products in the process, cannot analyze the fault influence degree of the products in each process on the previous process, and further cannot screen out the processing parameters and the process environment parameters in each related processing process according to the fault influence degree for management and control, once a certain processing procedure is failed, the continuation of the subsequent procedure steps is seriously influenced, and the problems of low product manufacturing yield, high processing cost and poor durability when applied to different scenes exist.
Disclosure of Invention
The invention aims to provide a multi-scene distributed type information control system based on an industrial Internet of things, which solves the problems in the prior art.
The purpose of the invention can be realized by the following technical scheme:
a multi-scene distributed type informatization control system based on an industrial Internet of things comprises a scene distribution acquisition module, a scene parameter analysis module, a virtual degree processing simulation module, a scene association evaluation module, a tracking calibration module and an informatization control platform;
the scene distribution acquisition module is distributed with a plurality of scene detectors in the range of each processing scene area in the industrial product production and processing process, and is used for acquiring process environment parameters in each processing scene area and video images in the processing process, and issuing the acquired process environment parameters in each processing scene area and the video images in the processing process to the scene parameter analysis module;
the scene parameter analysis module extracts the process environment parameters and the video images in the processing process which are transmitted by the scene distribution acquisition module and collected by the scene detectors distributed in each processing scene area, extracts the process environment parameters in each processing scene area to be compared with the standard process environment parameters specified by the process processing of the industrial products corresponding to the processing scene area, screens out the numerical values corresponding to the process environment parameter types required to be detected in the process, judges the deviation degree of each process environment parameter type, processes the video images in the processing process of the products in each scene area, and extracts the product processing parameters in the video images in the processing process;
the virtual degree processing simulation module is used for acquiring a product stage conformity degree coefficient corresponding to a processed product after a previous processing procedure and acquiring the type deviation of environmental parameters of each procedure corresponding to the processing of the product in each scene area
Figure DEST_PATH_IMAGE002
And extracting product processing parameters from the video image, extracting interference scale factors corresponding to the types of the process environmental parameters stored in the processing management and control database, and simulating the product stage conformity coefficient of the product after the product passes through the processing procedure of the processing scene area according to the type deviation of the process environmental parameters corresponding to the product processing in the scene area and the product processing parameters
Figure DEST_PATH_IMAGE004
The scene correlation evaluation module is used for establishing the correlation of each processing scene area in the processing process, evaluating the correlation influence coefficient of each processing procedure on the subsequent processing procedure by adopting a sample training mode, and establishing a correlation influence coefficient set of the product in each processing procedure for the evaluated correlation influence coefficient of each processing procedure on the subsequent processing procedure
Figure DEST_PATH_IMAGE006
The tracking calibration module is used for extracting the conformity coefficient of each product stage sent by the virtual processing simulation module and extracting the association influence coefficient set of each processing procedure established by the scene association evaluation module
Figure 775540DEST_PATH_IMAGE006
And analyzing the comprehensive fault evaluation coefficient of each processing procedure subjected to the previous processing procedure by combining the product stage conformity coefficient of each processing procedure and the associated influence coefficient in the associated interference influence set of each processing procedure
Figure DEST_PATH_IMAGE008
Comparing the comprehensive fault evaluation coefficient with a fault evaluation coefficient threshold value corresponding to the product stage, screening out processing parameters and process environment parameters in the processing procedures associated with the comprehensive fault evaluation coefficient which is greater than the fault evaluation coefficient threshold value, and screening out the processing parameters in the associated processing procedures,The process environment parameters are sent to an informatization management and control platform;
and the informatization management and control platform extracts the processing parameters and the process environment parameters in the processing procedures which are sent by the tracking and calibration module and are associated with the comprehensive fault evaluation coefficients which are greater than the fault evaluation coefficient threshold value, and carries out informatization simulation adjustment on the screened processing parameters or process environment parameters in the associated processing procedures until the comprehensive fault evaluation coefficients of the processing procedures after the simulation adjustment are smaller than the set fault evaluation coefficient threshold value.
Preferably, the control system further includes a processing management and control database, and the processing management and control database stores interference scale factors corresponding to environmental parameter types of each process in the processing process of each process of the processed product and processing parameter sets of each process
Figure DEST_PATH_IMAGE010
Figure DEST_PATH_IMAGE012
The interference scale factors corresponding to the process environmental parameters are respectively the processing parameter values corresponding to the jth processing step in the ith process
Figure DEST_PATH_IMAGE014
,k=1,2,...,n,
Figure DEST_PATH_IMAGE016
An interference scale factor corresponding to the environmental parameter type of the kth process in the g process
Figure DEST_PATH_IMAGE018
Preferably, the calculation formula of the deviation degree of each process environment parameter type
Figure DEST_PATH_IMAGE020
Figure DEST_PATH_IMAGE022
The value and of the kth environmental parameter type required to be managed and controlled in the g processThe process processes the deviation degree between the values of the specified standard process environment parameter types,
Figure DEST_PATH_IMAGE024
and processing the value of the specified kth standard process environment parameter type for the process corresponding to the g scene area of the industrial product.
Preferably, the product stage conformity factor of each processing procedure
Figure DEST_PATH_IMAGE026
Figure DEST_PATH_IMAGE028
Expressed as the weight value corresponding to the process environment parameter in the product processing process,
Figure DEST_PATH_IMAGE030
expressed as the weight value corresponding to the product processing parameter in the product processing process,
Figure DEST_PATH_IMAGE032
Figure DEST_PATH_IMAGE034
expressed as the conformity factor of the product after the g processing procedure,
Figure DEST_PATH_IMAGE036
less than 1, and is capable of reducing the side effects of the radiation,
Figure DEST_PATH_IMAGE038
expressed as the average value among the machining parameter values corresponding to the jth machining step in the jth process.
Preferably, the scene correlation evaluation module analyzes a correlation influence coefficient of each processing procedure on a subsequent processing procedure by adopting a sample training mode, and the method comprises the following specific steps:
s1, establishing an initial association set among the processing procedures by a product processing worker according to processing experience, sequentially extracting r product processing samples after the processing procedures respectively, and counting product stage conformity coefficients of the r product samples;
s2, grading the product stage conformity coefficient corresponding to the product sample after each processing procedure into a first processing grade, a second processing grade, a third processing grade and a fourth processing grade;
s3, counting the damage rate of each processing grade in the current processing procedure after the next processing procedure;
s4, extracting the damage rates of the processing grades after the adjacent processing procedures in the step S3, and calculating the damage rates of the processing grades of the g +2 th processing procedure and the g +3 th processing procedure respectively
Figure DEST_PATH_IMAGE040
And
Figure DEST_PATH_IMAGE042
according to the processing grade damage rate calculation formulas in S3 and S4 and the like, counting the g-th processing procedure pair
Figure DEST_PATH_IMAGE044
Rate of damage of the working grade of a working process
Figure DEST_PATH_IMAGE046
S5, the g-th machining process pair obtained in the step S4 is
Figure 916847DEST_PATH_IMAGE044
Rate of damage of the working grade of a working process
Figure 227742DEST_PATH_IMAGE046
With the initial association set in step S1
Figure DEST_PATH_IMAGE048
Performing product in (1), and adopting normalization algorithm
Figure DEST_PATH_IMAGE050
Counting a related influence coefficient set among all the processing procedures
Figure DEST_PATH_IMAGE052
Figure DEST_PATH_IMAGE054
Shown as the g-th processing step and the second
Figure 249050DEST_PATH_IMAGE044
The coefficient of influence of the correlation between the individual machining operations, g =1, 2.., m,
Figure 860160DEST_PATH_IMAGE044
=1,2,...,m,
Figure DEST_PATH_IMAGE056
expressed as the maximum value of the damage rates of the machining grades of the g-th machining process to all subsequent machining processes.
Preferably, the machining grade damage rate of each machining grade in each machining process after the next machining process
Figure DEST_PATH_IMAGE058
Figure DEST_PATH_IMAGE060
Is the processing grade damage rate of the product sample of the g processing procedure after the g +1 processing procedure,
Figure DEST_PATH_IMAGE062
the number of the product samples corresponding to the z-th processing grade in the product samples of the g-th processing procedure,
Figure DEST_PATH_IMAGE064
the number of the product samples of the z th processing grade remained after the g +1 th processing procedure in the product sample of the z th processing grade, and z is equal to 1,2,3 and 4.
Preferably, the informatization management and control platform further obtains a product stage conformity coefficient analyzed by the virtual degree processing simulation module and processed by each processing procedure, judges whether the processing grade corresponding to the product stage conformity coefficient is smaller than a second processing grade, and if so, screens out the processing parameter and the procedure environment parameter of the processing procedure and adjusts the processing parameter and the procedure environment parameter until the processing grade corresponding to the product stage conformity coefficient is greater than or equal to the second processing grade.
Preferably, the informatization control system further comprises an application environment acquisition module, a fault verification module and a fault tracing management module;
the application environment acquisition module is arranged on a product and used for acquiring application environment parameters of the product in the processing process;
the fault verification module is used for manually detecting the fault type of the product in the using process and the fault frequency of the fault type in a fixed time period;
the fault tracing management module is used for extracting the established corresponding relation between each fault type and each processing procedure and screening out the processing procedure corresponding to the fault type according to the fault type sent by the fault verification module;
the information management and control platform is used for acquiring the fault frequency of the fault verification module in a fixed time period, judging whether the fault frequency of the fault type in the fixed time period is greater than a set fault frequency threshold value, if so, acquiring the machining procedures corresponding to the fault type and sent by the fault tracing management module, and managing and controlling the machining parameters in the machining procedures corresponding to the fault type, so that the comprehensive fault evaluation coefficient under each machining procedure after management and control adjustment is smaller than the fault evaluation coefficient threshold value corresponding to the product stage.
The invention has the beneficial effects that:
the industrial Internet of things-based multi-scene distributed type information control system provided by the invention can acquire process environment parameters and processing parameters of different electrical equipment in different scenes in a distributed mode, and analyze the deviation degree corresponding to the variety of the process environment parameters by combining with the scene parameter analysis module, so that the quantitative deviation analysis of the product processing environment parameters is realized, and whether the processing environment parameters meet the processing requirements or not can be reflected.
The method has the advantages that the correlation analysis is carried out on each processing procedure, the mutual influence degree of products among the processing procedures in the processing process can be accurately analyzed, the product stage conformity coefficient of the products in each processing procedure after the last processing procedure, the product stage conformity coefficient corresponding to the process environment parameters in the processing procedure and the co-interference of the processing parameters are analyzed by adopting a product stage conformity coefficient calculation formula, and the matching conformity degree of the products after the processing procedures and the qualified products after the processing procedures in the processing process can be intuitively reflected.
The method has the advantages that the product stage conformity coefficient under each processing procedure and the correlation influence coefficient among the processing procedures are used for comprehensively evaluating the comprehensive fault influence degree of each processing procedure on the previous processing procedure, so that the quality of the product processed by the current processing procedure can be accurately predicted and calibrated, the processing parameters and the procedure environment parameters in each processing procedure related to each processing procedure can be tracked according to the numerical value of the comprehensive fault evaluation coefficient after the current processing procedure, the optimization control is carried out on the processing parameters and the procedure environment parameters in the later period, and the qualification rate and the use safety of the manufactured product are greatly improved.
The invention can apply the processed qualified product to different application scenes to analyze the fault types of the product in different application scenes and the fault frequency corresponding to each fault type and screen out the processing procedures related to the fault types so as to manage and control the processing parameters in the product manufacturing process and improve the durability of the product in each application scene.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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.
A multi-scene distributed information control system based on an industrial Internet of things comprises a scene distribution acquisition module, a scene parameter analysis module, a virtual degree processing simulation module, a processing control database, a scene association evaluation module, a tracking calibration module and an information control platform, wherein the modules are connected through the Internet to establish a communication transmission network among the modules.
Taking industrial manufacturing of electrical equipment as an example, the manufacturing and processing processes of electrical equipment such as transformers can be divided into a process 1, a process 2, a process 3, a process g, a process m, and each process corresponds to one processing scene area, that is, the processing scene areas corresponding to different processes are different.
The scene distribution acquisition module is distributed with a plurality of scene detectors in the range of each processing scene area in the industrial product production and processing process, and is used for acquiring the process environment parameters in each processing scene area and the video images of the processing process, and issuing the acquired process environment parameters in each processing scene area and the video images of the processing process to the scene parameter analysis module.
The scene detector comprises a plurality of sensors and a video acquisition camera, wherein the types of the sensors comprise a temperature sensor, a humidity sensor, a dust concentration sensor and the like, process environment parameters required to be controlled for different processes are different, the types of the environment parameters acquired by the scene detector in each process are different, the environment parameters need to be screened according to actual research objects, and the process environment parameters under each process form an environment parameter item set
Figure DEST_PATH_IMAGE066
Figure DEST_PATH_IMAGE068
Is expressed as the kth environmental parameter type required to be controlled in the g procedure, n is the total number of all procedure environmental parameter types required to be controlled in the procedures from 1 to m, when the kth environmental parameter type is not required to be controlled in the g procedure in the product processing process,
Figure DEST_PATH_IMAGE070
taking a value of '0' when the g-thWhen the kth environmental parameter is to be managed and controlled in the process,
Figure 902197DEST_PATH_IMAGE070
the environment parameter detection method is equal to a numerical value corresponding to the environment parameter type detected in the process, and in addition, the process environment parameters detected by the adopted scene detector are different for different electrical equipment, so the items detected by the environment parameters are screened out according to the specific electrical equipment type.
And for each processing scene area in the processing process of the industrial product, the processing scene areas are areas where each procedure in the processing process of the product is located, and each processing scene area is distinguished due to different processing parameters or processing steps.
The scene parameter analysis module extracts the process environment parameters and the video images in the processing process which are transmitted by the scene distribution acquisition module and collected by the scene detectors distributed in the processing scene areas, extracts the process environment parameters in the processing scene areas and compares the process environment parameters with the standard process environment parameters specified by the process of the industrial products corresponding to the processing scene areas, screens out the numerical values corresponding to the types of the process environment parameters required to be detected in the process, and judges the type deviation of the process environment parameters
Figure DEST_PATH_IMAGE072
Figure DEST_PATH_IMAGE074
The deviation degree between the value of the kth environmental parameter type required to be managed and controlled in the g procedure and the value of the standard procedure environmental parameter type specified by the procedure processing,
Figure DEST_PATH_IMAGE076
and (3) processing the specified value of the kth standard process environmental parameter type for the process corresponding to the g scene area of the industrial product, not counting the deviation degree of the process environmental parameter type for the environmental parameter type which does not need to be controlled, processing the video image in the product processing process in each scene area, and extracting the product processing parameters in the video image in the processing process.
The virtual degree processing simulation module is used for acquiring a product stage conformity degree coefficient corresponding to a processed product after a previous processing procedure and acquiring the type deviation of environmental parameters of each procedure corresponding to the processing of the product in each scene area
Figure DEST_PATH_IMAGE078
And extracting product processing parameters from the video image, extracting interference scale factors corresponding to the types of the process environmental parameters stored in the processing management and control database, and simulating the product stage conformity coefficient of the product after the product passes through the processing procedure of the processing scene area according to the type deviation of the process environmental parameters corresponding to the product processing in the scene area and the product processing parameters
Figure DEST_PATH_IMAGE080
Figure DEST_PATH_IMAGE082
Expressed as the weight value corresponding to the process environment parameter in the product processing process,
Figure DEST_PATH_IMAGE084
expressed as the weight value corresponding to the product processing parameter in the product processing process,
Figure DEST_PATH_IMAGE086
Figure DEST_PATH_IMAGE088
expressed as the conformity factor of the product after the g processing procedure,
Figure 451121DEST_PATH_IMAGE088
less than 1, and is capable of reducing the side effects of the radiation,
Figure DEST_PATH_IMAGE090
expressed as the average value of the processing parameter values corresponding to the jth processing step in the jth working procedure, namely the average value of the maximum processing parameter value and the minimum processing parameter value allowed by the processing step, wherein in the process of processing the product, each time one processing parameter value passesThe processing procedures all have a product stage conformity coefficient, the matching conformity degree of the product after the processing procedures and the qualified product after the processing procedures in the processing process can be reflected through the product stage conformity coefficient, and the larger the product stage conformity coefficient after the processing procedures is, the larger the matching degree of the processed product and the qualified product is.
The processing control database stores interference scale factors corresponding to the environmental parameter types of all the procedures of the processed products in the processing process of all the procedures and the processing parameter sets of all the procedures
Figure DEST_PATH_IMAGE092
Figure DEST_PATH_IMAGE094
The interference scale factors corresponding to the process environmental parameters are respectively
Figure DEST_PATH_IMAGE096
,k=1,2,...,n,
Figure DEST_PATH_IMAGE098
An interference scale factor corresponding to the environmental parameter type of the kth process in the g process
Figure DEST_PATH_IMAGE100
When the nth environmental parameter is not required to be managed in the gth process, that is, the process is executed
Figure DEST_PATH_IMAGE102
When the value is equal to 0, the interference scale factor value corresponding to the process environmental parameter is equal to 0;
in addition, the processing management and control database also stores each fault type of the product in the using process and the processing procedure corresponding to each fault type.
And (3) sequencing the processing parameters in the processing parameter set of each procedure according to the sequence of the processing steps in the procedure, wherein the sequence is 1, 2.
When the product is raw material and is not processed, the product stage conformity coefficient corresponding to the last processing procedure of the product is equal to 1, and the product stage conformity coefficient corresponding to the product after the g processing procedure is 1
Figure 40234DEST_PATH_IMAGE088
The scene correlation evaluation module is used for establishing the correlation of each processing scene area in the processing process, evaluating the correlation influence coefficient of each processing procedure on the subsequent processing procedure by adopting a sample training mode, and establishing a correlation influence coefficient set of the product in each processing procedure for the evaluated correlation influence coefficient of each processing procedure on the subsequent processing procedure
Figure DEST_PATH_IMAGE104
The method comprises the following steps of analyzing the correlation influence coefficient of each processing procedure on the subsequent processing procedure by adopting a sample training mode, wherein the method comprises the following specific steps:
s1, establishing an initial association set among all processing procedures by a product processing worker according to processing experience
Figure DEST_PATH_IMAGE106
Figure DEST_PATH_IMAGE108
Is expressed as the g-th working process and the g-th
Figure DEST_PATH_IMAGE110
An initial correlation threshold between the individual process steps, the initial correlation threshold being equal to 0 or 1, when
Figure DEST_PATH_IMAGE112
When the temperature of the water is higher than the set temperature,
Figure DEST_PATH_IMAGE114
equal to 0, when the processing personnel judges the g processing procedure and the g processing procedure
Figure 194266DEST_PATH_IMAGE110
When the processing procedures are not related to each other,
Figure 922051DEST_PATH_IMAGE114
equal to 0, when the processing personnel judges the g processing procedure and the g processing procedure
Figure 473118DEST_PATH_IMAGE110
When the processing procedures are related to each other,
Figure 944550DEST_PATH_IMAGE114
equal to 1, sequentially extracting r product processing samples after each processing procedure respectively, and counting product stage conformity coefficients of the r product samples;
and S2, performing grade division on the product stage conformity coefficient corresponding to the product sample after each processing procedure, and dividing the product stage conformity coefficient into a first processing grade, a second processing grade, a third processing grade and a fourth processing grade, wherein each processing grade corresponds to different product stage conformity coefficient ranges, and the product sample after each processing procedure can be distinguished by adopting the division of the processing grades, the product stage conformity coefficient ranges corresponding to the same processing grade in different processing procedures are the same, and the larger the processing grade is, the larger the corresponding product stage conformity coefficient is.
S3, counting the damage rate of each processing grade in the current processing procedure after the next processing procedure
Figure DEST_PATH_IMAGE116
Figure DEST_PATH_IMAGE118
Is the processing grade damage rate of the product sample of the g processing procedure after the g +1 processing procedure,
Figure DEST_PATH_IMAGE120
the number of the product samples corresponding to the z-th processing grade in the product samples of the g-th processing procedure,
Figure DEST_PATH_IMAGE122
the number of the product samples of the z th processing grade left after the g +1 th processing procedure in the product sample of the z th processing grade is equal to 1,2,3 and 4;
s4, extracting the damage rates of the processing grades after the adjacent processing procedures in the step S3, and calculating the damage rates of the processing grades of the g +2 th processing procedure and the g +3 th processing procedure respectively
Figure DEST_PATH_IMAGE124
And
Figure DEST_PATH_IMAGE126
according to the processing grade damage rate calculation formulas in S3 and S4 and the like, counting the g-th processing procedure pair
Figure 359613DEST_PATH_IMAGE110
Rate of damage of the working grade of a working process
Figure DEST_PATH_IMAGE128
S5, the g-th machining process pair obtained in the step S4 is
Figure 320616DEST_PATH_IMAGE110
Rate of damage of the working grade of a working process
Figure 827821DEST_PATH_IMAGE128
With the initial association set in step S1
Figure 899682DEST_PATH_IMAGE114
And a normalization algorithm is adopted
Figure DEST_PATH_IMAGE130
Counting a related influence coefficient set among all the processing procedures
Figure DEST_PATH_IMAGE132
Figure DEST_PATH_IMAGE134
Is expressed as the g-th working process and the g-th
Figure 372514DEST_PATH_IMAGE110
The coefficient of influence of the correlation between the individual machining operations, g =1, 2.., m,
Figure 238839DEST_PATH_IMAGE110
=1,2,...,m,
Figure DEST_PATH_IMAGE136
expressed as the maximum value of the damage rates of the machining grades of the g-th machining process to all subsequent machining processes.
The tracking calibration module is used for extracting the conformity coefficient of each product stage sent by the virtual processing simulation module and extracting the association influence coefficient set of each processing procedure established by the scene association evaluation module
Figure DEST_PATH_IMAGE138
And analyzing the comprehensive fault evaluation coefficient of each processing procedure subjected to the previous processing procedure by combining the product stage conformity coefficient of each processing procedure and the associated influence coefficient in the associated interference influence set of each processing procedure
Figure DEST_PATH_IMAGE140
I =1, 2.,. x-1, x belonging to a positive number from 2 to m,
Figure DEST_PATH_IMAGE142
expressed as the comprehensive fault evaluation coefficient of the x processing procedure subjected to the previous x-1 processing procedures,
Figure 826815DEST_PATH_IMAGE142
less than 1, the comprehensive influence evaluation coefficient can digitally display the comprehensive interference influence degree of a certain processing procedure by a plurality of processing procedures before the processing procedure, the comprehensive fault evaluation coefficient is compared with the fault evaluation coefficient threshold value corresponding to the product stage, and the comprehensive fault evaluation coefficient which is larger than the fault evaluation coefficient threshold value is screened outThe processing parameters and the process environment parameters in the associated processing procedures are screened out, the processing parameters and the process environment parameters in the associated processing procedures are sent to the informatization management and control platform, comprehensive fault evaluation coefficients of products processed in the subsequent processing procedures are analyzed through influences of the associated processing procedures on the subsequent processing procedures, the quality of the products processed in the current processing procedure can be accurately predicted and calibrated, the processing parameters and the process environment parameters in the associated processing procedures can be tracked according to the numerical value of the comprehensive fault evaluation coefficients after the current processing procedure, and optimization control is carried out on the post-processing parameters and the process environment parameters.
The informatization management and control platform extracts the processing parameters and the process environment parameters in the processing procedures which are sent by the tracking and calibration module and are associated with the comprehensive fault evaluation coefficients which are larger than the fault evaluation coefficient threshold value, and carries out informatization simulation adjustment on the processing parameters or the process environment parameters in the selected associated processing procedures until the comprehensive fault evaluation coefficients of the processing procedures after the simulation adjustment are smaller than the set fault evaluation coefficient threshold value, the interference of the associated processing procedures in the processing process of industrial products on the fault degree of the subsequent processing procedures can be avoided by adopting informatization distributed management and control to adjust the processing parameters or the process environment parameters in the processing process, the tracking and adjustment on the prior processing procedures are convenient, the calibration on the prior processing procedures is further achieved, the processing conformity degree of the products after the subsequent processing procedures is improved, and the distributed intelligent control on the processing procedures under various scenes is realized, the satisfaction and the yield of products processed by each procedure are greatly improved, the safety of the electrical equipment in the using process is greatly improved, and the normal operation of an electric power system is guaranteed.
In addition, the informatization management and control platform acquires a product stage conformity coefficient analyzed by the virtual processing simulation module and processed by each processing procedure, judges whether the processing grade corresponding to the product stage conformity coefficient is smaller than a second processing grade or not, if so, screens out the processing parameters and the procedure environment parameters of the processing procedure and adjusts the processing parameters and the procedure environment parameters until the processing grade corresponding to the product stage conformity coefficient is larger than or equal to the second processing grade, and can carry out preliminary detection and analysis on the product after each processing procedure so as to control the prior processing procedure of the processing procedure, thereby improving the satisfaction degree of the product processed by each processing procedure, reducing the processing error space of each subsequent procedure and reducing the damage rate of the product in the manufacturing procedure.
Example 2
The multi-scenario distributed type informatization control system can also be used for researching the application of the processed qualified products to different application scenarios, and whether the products meet the use requirements or not is judged by detecting the use environments and faults of the qualified products (transformers) in the different application scenarios so as to track and control the processing parameters in the product processing procedures and dynamically control the durability of the products in the different application scenarios.
The information control system also comprises an application environment acquisition module, a fault verification module and a fault tracing management module.
The application environment acquisition module is installed on a product and used for acquiring application environment parameters of the product in the machining process, wherein the application environment parameters comprise rated voltage, rated current, no-load current, temperature inside the transformer, external temperature and the like, and the application environment parameters acquired by the application environment acquisition module are different due to different researched electric product types, namely different application environment parameters to be detected are formulated according to the electric product types.
The fault verification module is used for manually detecting the fault type of the product in the using process and the fault frequency of the fault type in a fixed time period, wherein for the transformer, the fault type comprises the problems of transformer temperature overheating, cooling device fault, oil level abnormity, transformer tripping and the like.
And the fault tracing management module is used for extracting the established corresponding relation between each fault type and each processing procedure, and screening the processing procedure corresponding to the fault type according to the fault type sent by the fault verification module, wherein the corresponding relation between each fault type and each processing procedure is that when the processing operation of one or more processing procedures causes that the processed qualified product has the corresponding fault type along with the accumulation of the service time, so that the processed qualified product has poor durability.
In addition, the information management and control platform is further used for acquiring the fault frequency of the fault verification module in a fixed time period, judging whether the fault frequency of the fault type in the fixed time period is greater than a set fault frequency threshold, if so, acquiring the machining procedures corresponding to the fault type and sent by the fault tracing management module, and managing and controlling the machining parameters in the machining procedures corresponding to the fault type, so that the comprehensive fault evaluation coefficient of each machining procedure after management and control adjustment is smaller than the fault evaluation coefficient threshold corresponding to the product stage, the machining procedures can be managed and controlled according to the use conditions of the product in different application scenes, the durability of the product in various application scene environments is improved, and the control of the electric product in different application scenes is realized.
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 (5)

1. The utility model provides a based on industry thing networking multi-scenario distributed type information ization control system which characterized in that: the system comprises a scene distribution acquisition module, a scene parameter analysis module, a virtual degree processing simulation module, a scene association evaluation module, a tracking calibration module and an informatization management and control platform;
the scene distribution acquisition module is distributed with a plurality of scene detectors in the range of each processing scene area in the industrial product production and processing process, and is used for acquiring process environment parameters in each processing scene area and video images in the processing process, and issuing the acquired process environment parameters in each processing scene area and the video images in the processing process to the scene parameter analysis module;
the scene parameter analysis module extracts the process environment parameters and the video images in the processing process which are transmitted by the scene distribution acquisition module and collected by the scene detectors distributed in each processing scene area, extracts the process environment parameters in each processing scene area to be compared with the standard process environment parameters specified by the process processing of the industrial products corresponding to the processing scene area, screens out the numerical values corresponding to the process environment parameter types required to be detected in the process, judges the deviation degree of each process environment parameter type, processes the video images in the processing process of the products in each scene area, and extracts the product processing parameters in the video images in the processing process;
calculation formula of type deviation of environmental parameters of each process
Figure DEST_PATH_IMAGE001
Figure 530241DEST_PATH_IMAGE002
The deviation degree between the value of the kth environmental parameter type required to be managed and controlled in the g procedure and the value of the standard procedure environmental parameter type specified by the procedure processing,
Figure DEST_PATH_IMAGE003
is expressed as a value corresponding to the kth environmental parameter type required to be managed and controlled in the gth procedure,
Figure 363068DEST_PATH_IMAGE004
processing a value of a specified kth standard process environment parameter type for a process corresponding to the industrial product in the g scene area;
the virtual degree processing simulation module is used for acquiring a product stage conformity degree coefficient corresponding to a processed product after a previous processing procedure and acquiring the type deviation of environmental parameters of each procedure corresponding to the processing of the product in each scene area
Figure DEST_PATH_IMAGE005
And extracting product processing parameters from the video image, and extracting a processing control databaseThe interference scale factor corresponding to the process environmental parameter types stored in the storage device simulates the product stage conformity coefficient of the product after the product passes through the processing procedure of the processing scene area according to the process environmental parameter type deviation corresponding to the product processing in the scene area and the product processing parameter
Figure 130167DEST_PATH_IMAGE006
Product stage conformity factor of each processing procedure
Figure DEST_PATH_IMAGE007
Figure 720548DEST_PATH_IMAGE008
Expressed as the weight value corresponding to the process environment parameter in the product processing process,
Figure DEST_PATH_IMAGE009
expressed as the weight value corresponding to the product processing parameter in the product processing process,
Figure 621508DEST_PATH_IMAGE010
Figure DEST_PATH_IMAGE011
expressed as the conformity factor of the product after the g processing procedure,
Figure 918629DEST_PATH_IMAGE011
less than 1, and is capable of reducing the side effects of the radiation,
Figure 246842DEST_PATH_IMAGE012
expressed as the average value in the processing parameter values corresponding to the jth processing step in the jth procedure;
the scene association evaluation module is used for establishing the correlation of each processing scene area in the processing process, evaluating the association influence coefficient of each processing procedure on the subsequent processing procedure in a sample training mode, and evaluating the association influence coefficientThe associated influence coefficients of the processing procedures on the subsequent processing procedures form an associated influence coefficient set of the product in each processing procedure
Figure DEST_PATH_IMAGE013
The tracking calibration module is used for extracting the conformity coefficient of each product stage sent by the virtual processing simulation module and extracting the association influence coefficient set of each processing procedure established by the scene association evaluation module
Figure 760737DEST_PATH_IMAGE013
And analyzing the comprehensive fault evaluation coefficient of each processing procedure subjected to the previous processing procedure by combining the product stage conformity coefficient of each processing procedure and the associated influence coefficient in the associated interference influence set of each processing procedure
Figure 668651DEST_PATH_IMAGE014
Comparing the comprehensive fault evaluation coefficient with a fault evaluation coefficient threshold value corresponding to the product stage, screening out processing parameters and process environment parameters in the processing procedures associated with the comprehensive fault evaluation coefficient which is greater than the fault evaluation coefficient threshold value, and sending the screened out processing parameters and process environment parameters in the associated processing procedures to an information management and control platform;
the scene correlation evaluation module analyzes the correlation influence coefficient of each processing procedure on the subsequent processing procedures by adopting a sample training mode, and the method comprises the following specific steps:
s1, establishing an initial association set among the processing procedures by a product processing worker according to processing experience, sequentially extracting r product processing samples after the processing procedures respectively, and counting product stage conformity coefficients of the r product samples;
s2, grading the product stage conformity coefficient corresponding to the product sample after each processing procedure into a first processing grade, a second processing grade, a third processing grade and a fourth processing grade;
s3, counting the damage rate of each processing grade in the current processing procedure after the next processing procedure;
s4, extracting the damage rates of the processing grades after the adjacent processing procedures in the step S3, and calculating the damage rates of the processing grades of the g +2 th processing procedure and the g +3 th processing procedure respectively
Figure DEST_PATH_IMAGE015
And
Figure 210490DEST_PATH_IMAGE016
according to the processing grade damage rate calculation formulas in S3 and S4 and the like, counting the g-th processing procedure pair
Figure DEST_PATH_IMAGE017
Rate of damage of the working grade of a working process
Figure 381709DEST_PATH_IMAGE018
S5, the g-th machining process pair obtained in the step S4 is
Figure 212261DEST_PATH_IMAGE017
Rate of damage of the working grade of a working process
Figure 595969DEST_PATH_IMAGE018
With the initial association set in step S1
Figure DEST_PATH_IMAGE019
And a normalization algorithm is adopted
Figure 992316DEST_PATH_IMAGE020
Counting a related influence coefficient set among all the processing procedures
Figure DEST_PATH_IMAGE021
Figure 537698DEST_PATH_IMAGE022
Is expressed as the g-th working process and the g-th
Figure 855547DEST_PATH_IMAGE017
The coefficient of influence of the correlation between the individual machining operations, g =1, 2.., m,
Figure 902000DEST_PATH_IMAGE017
=1,2,...,m,
Figure DEST_PATH_IMAGE023
expressed as the maximum value in the damage rate of the processing grade of the g processing procedure to all the subsequent processing procedures;
and the informatization management and control platform extracts the processing parameters and the process environment parameters in the processing procedures which are sent by the tracking and calibration module and are associated with the comprehensive fault evaluation coefficients which are larger than the fault evaluation coefficient threshold value, and carries out informatization simulation adjustment on the screened processing parameters or process environment parameters in the associated processing procedures until the comprehensive fault evaluation coefficients of the processing procedures after the simulation adjustment are smaller than the set fault evaluation coefficient threshold value.
2. The industrial internet of things-based multi-scenario distributed informatization control system according to claim 1, characterized in that: the control system also comprises a processing control database, wherein interference scale factors corresponding to the environmental parameter types of each procedure of the processed product in the processing process of each procedure and the processing parameter sets of each procedure are stored in the processing control database
Figure 798193DEST_PATH_IMAGE024
Figure DEST_PATH_IMAGE025
The interference scale factors corresponding to the process environmental parameters are respectively the processing parameter values corresponding to the jth processing step in the ith process
Figure 639110DEST_PATH_IMAGE026
,k=1,2,...,n,
Figure DEST_PATH_IMAGE027
An interference scale factor corresponding to the environmental parameter type of the kth process in the g process
Figure 116359DEST_PATH_IMAGE028
3. The industrial internet of things-based multi-scenario distributed informatization control system according to claim 2, characterized in that: the damage rate of each processing grade after the next processing step
Figure DEST_PATH_IMAGE029
Figure 700924DEST_PATH_IMAGE030
Is the processing grade damage rate of the product sample of the g processing procedure after the g +1 processing procedure,
Figure DEST_PATH_IMAGE031
the number of the product samples corresponding to the z-th processing grade in the product samples of the g-th processing procedure,
Figure 947228DEST_PATH_IMAGE032
z is the number of the product samples of the z-th processing grade remaining after the g +1 th processing procedure in the product sample of the z-th processing grade, and z is equal to 1,2,3 and 4.
4. The industrial internet of things-based multi-scenario distributed informatization control system according to claim 2, characterized in that: the informatization management and control platform also acquires a product stage conformity coefficient analyzed by the virtual processing simulation module and processed by each processing procedure, judges whether the processing grade corresponding to the product stage conformity coefficient is less than a second processing grade or not, and if so, screens out the processing parameters and the procedure environment parameters of the processing procedure and adjusts the processing parameters and the procedure environment parameters until the processing grade corresponding to the product stage conformity coefficient is more than or equal to the second processing grade.
5. The industrial internet of things-based multi-scenario distributed informatization control system according to claim 1, characterized in that: the information control system also comprises an application environment acquisition module, a fault verification module and a fault tracing management module;
the application environment acquisition module is arranged on a product and used for acquiring application environment parameters of the product in the processing process;
the fault verification module is used for manually detecting the fault type of the product in the using process and the fault frequency of the fault type in a fixed time period;
the fault tracing management module is used for extracting the established corresponding relation between each fault type and each processing procedure and screening out the processing procedure corresponding to the fault type according to the fault type sent by the fault verification module;
the information management and control platform is used for acquiring the fault frequency of the fault verification module in a fixed time period, judging whether the fault frequency of the fault type in the fixed time period is greater than a set fault frequency threshold value, if so, acquiring the machining procedures corresponding to the fault type and sent by the fault tracing management module, and managing and controlling the machining parameters in the machining procedures corresponding to the fault type, so that the comprehensive fault evaluation coefficient under each machining procedure after management and control adjustment is smaller than the fault evaluation coefficient threshold value corresponding to the product stage.
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