CN117807133A - Data mining decision diagnosis system and method based on mathematical optimization model - Google Patents
Data mining decision diagnosis system and method based on mathematical optimization model Download PDFInfo
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Abstract
The invention discloses a data mining decision diagnosis system and a method based on a mathematical optimization model, comprising a decision diagnosis system body, wherein the decision diagnosis system body is connected with a data analysis platform in a two-way communication way, the decision diagnosis system body is connected with a data display platform in a two-way communication way, the decision diagnosis system body is connected with an information platform in a two-way communication way, the decision diagnosis system body is connected with a data mining platform in a two-way communication way, the decision diagnosis system body is connected with a decision evaluation platform in a two-way communication way, and the decision diagnosis system body is connected with the data diagnosis platform in a two-way communication way.
Description
Technical Field
The invention relates to the technical field of data mining, in particular to a data mining decision diagnosis system and method based on a mathematical optimization model.
Background
The mathematical optimization model firstly uses a dimension reduction technology to replace the original multiple variables by a few comprehensive variables, the comprehensive variables centralize most of information of the original variables, secondly carries out scientific evaluation on objective economic phenomena by calculating comprehensive principal component function scores, and finally focuses on comprehensive evaluation of information contribution influence on application, so that the mathematical optimization model is widely used.
The data mining is to use an analysis tool to extract hidden, unknown in advance but potentially useful information and knowledge processes from a large amount of incomplete, noisy, fuzzy and random data, establish a data relationship model and use the data relationship model to make predictions, and the decision tree model is the most commonly used method in data mining, can directly embody the characteristics of the data, is convenient to understand, has better classification prediction capability, and can conveniently extract decision rules, the decision tree generation process, namely the knowledge discovery process, the complexity and prediction precision of the decision tree model determine the quality of the decision tree, the decision tree is generated according to heuristic rules, and the common decision tree generation algorithm has ID3 and C4.5 algorithms based on the information theory and a CART, SLIQ, PUBLIC method based on the minimum GINI index.
However, conventional data mining suffers from the following drawbacks:
at present, the data mining technology basically depends on traditional research methods and means in the computer field, when a researcher needs which part of data and reference values, part of databases can be temporarily collected, the information of the databases is not effectively analyzed at all, some are even not understood, which are important factors, which have higher response rate to the reference values, and the like, and the data mining method and means only imitate and take care of movement and lack of flexibility.
Disclosure of Invention
The invention aims to provide a data mining decision diagnosis system and method based on a mathematical optimization model, so as to solve the problems that the current data mining technology proposed in the background technology is basically a traditional research method and means in the field of computers, when a researcher needs a part of data and a reference value, a part of databases are temporarily collected, the information of the databases is not effectively analyzed at all, some are not understood, and even are important factors, some data have higher response rate to the reference value, and the like, and the data mining method and means only imitate and take care of the data, and lack of flexibility.
In order to achieve the above purpose, the present invention provides the following technical solutions: the data mining decision diagnosis system based on the mathematical optimization model comprises a decision diagnosis system body, wherein the decision diagnosis system body is in bidirectional communication connection with a data analysis platform, the decision diagnosis system body is in bidirectional communication connection with a data display platform, the decision diagnosis system body is in bidirectional communication connection with an information platform, the decision diagnosis system body is in bidirectional communication connection with the data mining platform, the decision diagnosis system body is in bidirectional communication connection with a decision evaluation platform, and the decision diagnosis system body is in bidirectional communication connection with the data diagnosis platform;
as a preferable technical scheme of the invention, the data analysis platform is used for combing out an analysis structure according to three elements aiming at a product analysis report, the data display platform is used for providing and supporting a multi-screen visual application scheme, the information platform is used for building an open shared digital platform, the comprehensive innovation and promotion of the whole process of informatization management by using informatization technology to promote management are realized, the data mining platform is used for carrying out data mining according to an actual situation construction model, the decision evaluation platform is used for completing closed loop by using the data mining and application thereof from the view angle of the second party, and the data diagnosis platform is used for fully integrating an AI big data model, a big data fault diagnosis algorithm and a wireless network communication advanced technology, so that the operation data acquisition, the real-time monitoring of an operation state and the interconnection and the intercommunication of all-level system data are realized.
As a preferable technical scheme of the invention, the data analysis platform comprises an index analysis module, a dimension analysis module and an analysis method module, wherein the index analysis module is used for carrying out specific analysis on indexes of the product, the dimension analysis module is used for carrying out specific analysis on dimensions of the product, and the analysis method module is used for determining an analysis method of the product.
As a preferable technical scheme of the invention, the data display platform comprises intelligent equipment, a pushing module, a display module, an experience module and an analysis module, wherein the pushing module, the display module, the experience module and the analysis module are all connected with the intelligent equipment, the intelligent equipment comprises a large screen display, a desktop notebook, a tablet personal computer and a mobile phone, the pushing module realizes data early warning in a mode of short messages, weChat or mail, the display module displays large screen data and analyzes the large screen data, the experience module provides application for user experience, and the analysis module upgrades and optimizes a report and compares the result through a line graph.
As a preferred technical scheme of the invention, the information platform comprises a central data module, an integrated module, a core application module and an application demand module, wherein the central data module provides a required data center and a data backup center, the integrated module provides financial and business integration, planning and execution integration, design and production integration, front end and back end integration and decision and feedback integration, the core application module provides ERP, PLM, CRM and MES application respectively, and the application demand module provides management and support demands, operation management demands and assessment and decision demands.
As a preferred technical solution of the present invention, the data mining platform includes a CRISP-DM model module, a sema model module, a DMAIC model module, an AOSP-SM model module and a 5A model module, where the CRISP-DM model module is a standardized method for open data mining projects and is also a general method for data mining and analysis recognized in the industry, the sema model module starts from sample data, discovers and converts the most valuable prediction variables through statistical analysis and visualization technology, builds a model according to the variables, and checks the usability and accuracy of the model, and the DMAIC model module includes five steps: defining, measuring, analyzing, improving and controlling, wherein the AOSP-SM model module is an application-oriented method for guiding data mining work based on two methods of cross-industry data mining process standards and SAS, and the 5A model module divides the data mining process into five A: assess, access, analyze, act, automate, corresponding to five phases: the method comprises the steps of demand assessment, data access, complete analysis, model demonstration and result display.
As a preferred technical scheme of the invention, the decision evaluation platform comprises a business understanding module, a data acquisition module, a data exploration module, a model construction module, a model evaluation module, a strategy output module and an application deployment module, wherein the business understanding module is used for forming a preliminary scheme and making a project plan through internal investigation, current situation analysis, clear targets, the data acquisition module is used for collecting data through index design, data dictionary compiling, data demand proposing and data demand communication, the data exploration module is used for carrying out data exploratory analysis, data quality evaluation and data preprocessing, the model construction module is used for carrying out model training through algorithm selection, the model evaluation module is used for evaluating model performance and effect and forming management advice and strategy scheme, the strategy output module is used for outputting an analysis report, and the application deployment module is used for monitoring and timely optimizing the model operation effect.
As a preferable technical scheme of the invention, the data diagnosis platform comprises a database construction module, a predictive maintenance module, an intelligent diagnosis module and an operation and maintenance cost module, wherein the database construction module is used for establishing a fault diagnosis knowledge model base based on ISCS system data and combining data acquired by a sensor, the predictive maintenance module adopts a machine learning algorithm and a model to analyze and evaluate the health condition of equipment and provide support for equipment fault prediction analysis, the intelligent diagnosis module is used for monitoring and evaluating the body state of a decision diagnosis system, the fault occurrence rate of the body state of the decision diagnosis system is reduced, and the operation and maintenance cost module is used for simplifying the body of the decision diagnosis system, improving the operation and maintenance efficiency and reducing the operation and maintenance cost.
The invention relates to a data mining decision diagnosis method based on a mathematical optimization model, which comprises the following steps:
step one, a platform architecture: the Internet of things and big data technology are used as supports, a decision diagnosis platform based on a big data fault diagnosis algorithm is created, the decision diagnosis platform is subjected to 'point, line and plane' comprehensive monitoring management, data sharing is realized, dynamic data tracking, fault diagnosis, state monitoring management and health pre-judging services are provided for the decision diagnosis platform, and the sustainable development strategy requirements are met;
step two, data acquisition: the ISCS system or the sensor is used for collecting data of the decision diagnosis platform, and integrating and analyzing big data resources;
step three, data analysis: carding the product analysis report form into an analysis structure according to three factors;
step four, data display: providing and supporting a multi-screen visual application scheme to directionally extract and display required data;
step five, building a platform: an open shared digital platform is built, the informatization management of the whole process is realized, and the omnibearing innovation and promotion of the management are promoted by an informatization technology;
step six, data mining: data mining is carried out according to the actual condition construction model;
step seven, data decision: the closed loop with data mining and its application is completed from the perspective of the b-party.
Compared with the prior art, the invention has the beneficial effects that:
the problems and advantages of the product are analyzed by means of the multi-aspect data database, the intersection and fusion of the product field and the computer field are further promoted, more reasonable and scientific research means and methods are facilitated to be generated, the method has important significance in promoting the development and popularization of the data mining technology and the product, and the flexibility of the system in use is improved.
Drawings
FIG. 1 is a schematic diagram of a decision making system according to the present invention;
FIG. 2 is a schematic diagram of a data analysis platform according to the present invention;
FIG. 3 is a schematic diagram of a data display platform according to the present invention;
FIG. 4 is a schematic diagram of an information platform according to the present invention;
FIG. 5 is a schematic diagram of a data mining platform according to the present invention;
FIG. 6 is a schematic diagram of a decision evaluation platform according to the present invention;
FIG. 7 is a schematic diagram of a data diagnosis platform according to the present invention;
fig. 8 is a flow chart of the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-8, the invention provides a data mining decision diagnosis system based on a mathematical optimization model, which comprises a decision diagnosis system body, a decision diagnosis system and a data analysis platform, wherein the decision diagnosis system body is connected with the data analysis platform in a two-way communication manner, the decision diagnosis system body is connected with an information platform in a two-way communication manner, the decision diagnosis system body is connected with the data mining platform in a two-way communication manner, the decision diagnosis system body is connected with a decision evaluation platform in a two-way communication manner, and the decision diagnosis system body is connected with the data diagnosis platform in a two-way communication manner;
the data analysis platform is used for combing out an analysis structure according to three factors aiming at a product analysis report, the data display platform is used for providing and supporting a multi-screen visual application scheme, the information platform is used for building an open shared digital platform, the information management of the whole process is realized, the omnibearing innovation and the improvement of the management are promoted by an information technology, the data mining platform is used for carrying out data mining according to an actual situation building model, the decision evaluation platform is used for completing the closed loop of data mining and application thereof from the view angle of the second party, and the data diagnosis platform is used for fully integrating an AI big data model, a big data fault diagnosis algorithm and a wireless network communication advanced technology, so that the operation data acquisition, the real-time operation state monitoring and the interconnection and the intercommunication of all-level system data are realized.
The data analysis platform comprises an index analysis module, a dimension analysis module and an analysis method module, wherein the index analysis module is used for carrying out specific analysis on indexes of the product, the dimension analysis module is used for carrying out specific analysis on dimensions of the product, and the analysis method module is used for determining an analysis method of the product.
The data display platform comprises intelligent equipment, a pushing module, a display module, an experience module and an analysis module, wherein the pushing module, the display module, the experience module and the analysis module are all connected with the intelligent equipment, the intelligent equipment comprises a large screen display, a desktop notebook, a tablet personal computer and a mobile phone, the pushing module realizes data early warning through a mode of short messages, weChat or mail, the display module displays large screen data and analyzes the large screen data, the experience module provides application and supplies user experience, and the analysis module upgrades and optimizes a report and compares the line diagram.
The information platform comprises a center data module, an integrated module, a core application module and an application demand module, wherein the center data module provides a required data center and a data backup center, the integrated module provides financial and business integration, planning and execution integration, design and production integration, front end and rear end integration and decision and feedback integration, the core application module provides ERP, PLM, CRM and MES application respectively, and the application demand module provides management and support demands, operation management demands and assessment and decision demands.
The data mining platform comprises a CRISP-DM model module, an SEMMA model module, a DMAIC model module, an AOSP-SM model module and a 5A model module, wherein the CRISP-DM model module is a set of standardized method for open data mining projects and is also a general methodology for data mining and analysis accepted in the industry, the SEMMA model module starts from sample data, discovers and converts the most valuable predicted variables through statistical analysis and visualization technology, builds a model according to the variables, and checks the availability and accuracy of the model, and the DMAIC model module comprises five steps: defining, measuring, analyzing, improving and controlling, wherein the AOSP-SM model module is an application-oriented method for guiding data mining work based on two methods of cross-industry data mining process standards and SAS, and the 5A model module divides the data mining process into five A: assess, access, analyze, act, automate, corresponding to five phases: the method comprises the steps of demand assessment, data access, complete analysis, model demonstration and result display.
The decision evaluation platform comprises a business understanding module, a data acquisition module, a data exploration module, a model construction module, a model evaluation module, a strategy output module and an application deployment module, wherein the business understanding module is used for forming a preliminary scheme and making a project plan through internal investigation, current situation analysis and clear targets, the data acquisition module is used for collecting data through index design, compiling a data dictionary, providing data requirements and communicating the data requirements, the data exploration module is used for carrying out data exploratory analysis, data quality evaluation and data preprocessing, the model construction module is used for carrying out model training through algorithm selection, the model evaluation module is used for evaluating model performance and effect and forming management suggestions and strategy schemes, the strategy output module is used for outputting an analysis report, and the application deployment module is used for monitoring and timely optimizing model operation effects.
The data diagnosis platform comprises a database construction module, a predictive maintenance module, an intelligent diagnosis module and an operation and maintenance cost module, wherein the database construction module is used for establishing a fault diagnosis knowledge model base based on ISCS system data and combining data acquired by a sensor, the predictive maintenance module adopts a machine learning algorithm and a model to analyze and evaluate the health condition of equipment and provide support for equipment fault prediction analysis, the intelligent diagnosis module is used for monitoring and evaluating the state of a decision diagnosis system body, the fault occurrence rate of the state of the decision diagnosis system body is reduced, and the operation and maintenance cost module is used for simplifying the decision diagnosis system body, improving the operation and maintenance efficiency and reducing the operation and maintenance cost.
The invention relates to a data mining decision diagnosis method based on a mathematical optimization model, which comprises the following steps:
step one, a platform architecture: the Internet of things and big data technology are used as supports, a decision diagnosis platform based on a big data fault diagnosis algorithm is created, the decision diagnosis platform is subjected to 'point, line and plane' comprehensive monitoring management, data sharing is realized, dynamic data tracking, fault diagnosis, state monitoring management and health pre-judging services are provided for the decision diagnosis platform, and the sustainable development strategy requirements are met;
step two, data acquisition: the ISCS system or the sensor is used for collecting data of the decision diagnosis platform, and integrating and analyzing big data resources;
step three, data analysis: carding the product analysis report form into an analysis structure according to three factors;
step four, data display: providing and supporting a multi-screen visual application scheme to directionally extract and display required data;
step five, building a platform: an open shared digital platform is built, the informatization management of the whole process is realized, and the omnibearing innovation and promotion of the management are promoted by an informatization technology;
step six, data mining: data mining is carried out according to the actual condition construction model;
step seven, data decision: the closed loop with data mining and its application is completed from the perspective of the b-party.
In the invention, the Internet of things and big data technology are used as supports, a decision diagnosis platform based on a big data fault diagnosis algorithm is created based on the rapid technological effort, the decision diagnosis platform is subjected to 'point, line and plane' comprehensive monitoring management, the data sharing is realized, dynamic data tracking, fault diagnosis, state monitoring management and health pre-judging services are provided for the decision diagnosis platform, and the sustainable development strategy requirements are met; the ISCS system or the sensor is used for collecting data of the decision diagnosis platform, and integrating and analyzing big data resources; carding the product analysis report form into an analysis structure according to three factors; providing and supporting a multi-screen visual application scheme to directionally extract and display required data; an open shared digital platform is built, the informatization management of the whole process is realized, and the omnibearing innovation and promotion of the management are promoted by an informatization technology; data mining is carried out according to the actual condition construction model; the closed loop with data mining and its application is completed from the perspective of the b-party.
Although the present invention has been described with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements and changes may be made without departing from the spirit and principles of the present invention.
Claims (8)
1. The data mining decision diagnosis system based on the mathematical optimization model comprises a decision diagnosis system body, and is characterized in that: the decision diagnosis system body is connected with the data analysis platform in a two-way communication manner, the decision diagnosis system body is connected with the data display platform in a two-way communication manner, the decision diagnosis system body is connected with the information platform in a two-way communication manner, the decision diagnosis system body is connected with the data mining platform in a two-way communication manner, the decision diagnosis system body is connected with the decision evaluation platform in a two-way communication manner, and the decision diagnosis system body is connected with the data diagnosis platform in a two-way communication manner;
the data analysis platform is used for combing out an analysis structure according to three factors aiming at a product analysis report, the data display platform is used for providing and supporting a multi-screen visual application scheme, the information platform is used for building an open shared digital platform, the information management of the whole process is realized, the omnibearing innovation and the improvement of the management are promoted by an information technology, the data mining platform is used for carrying out data mining according to an actual situation building model, the decision evaluation platform is used for completing the closed loop of data mining and application thereof from the view angle of the second party, and the data diagnosis platform is used for fully integrating an AI big data model, a big data fault diagnosis algorithm and a wireless network communication advanced technology, so that the operation data acquisition, the real-time operation state monitoring and the interconnection and the intercommunication of all-level system data are realized.
2. The mathematical optimization model-based data mining decision diagnostic system of claim 1, wherein: the data analysis platform comprises an index analysis module, a dimension analysis module and an analysis method module, wherein the index analysis module is used for carrying out specific analysis on indexes of the product, the dimension analysis module is used for carrying out specific analysis on dimensions of the product, and the analysis method module is used for determining an analysis method of the product.
3. The mathematical optimization model-based data mining decision diagnostic system of claim 1, wherein: the data display platform comprises intelligent equipment, a pushing module, a display module, an experience module and an analysis module, wherein the pushing module, the display module, the experience module and the analysis module are all connected with the intelligent equipment, the intelligent equipment comprises a large screen display, a desktop notebook, a tablet personal computer and a mobile phone, the pushing module realizes data early warning through a mode of short messages, weChat or mail, the display module displays large screen data and analyzes the large screen data, the experience module provides application and supplies user experience, and the analysis module upgrades and optimizes a report and compares the line diagram.
4. The mathematical optimization model-based data mining decision diagnostic system of claim 1, wherein: the information platform comprises a center data module, an integrated module, a core application module and an application demand module, wherein the center data module provides a required data center and a data backup center, the integrated module provides financial and business integration, planning and execution integration, design and production integration, front end and rear end integration and decision and feedback integration, the core application module provides ERP, PLM, CRM and MES application respectively, and the application demand module provides management and support demands, operation management demands and assessment and decision demands.
5. The mathematical optimization model-based data mining decision diagnostic system of claim 1, wherein: the data mining platform comprises a CRISP-DM model module, an SEMMA model module, a DMAIC model module, an AOSP-SM model module and a 5A model module, wherein the CRISP-DM model module is a set of standardized method for open data mining projects and is also a general methodology for data mining and analysis accepted in the industry, the SEMMA model module starts from sample data, discovers and converts the most valuable predicted variables through statistical analysis and visualization technology, builds a model according to the variables, and checks the availability and accuracy of the model, and the DMAIC model module comprises five steps: defining, measuring, analyzing, improving and controlling, wherein the AOSP-SM model module is an application-oriented method for guiding data mining work based on two methods of cross-industry data mining process standards and SAS, and the 5A model module divides the data mining process into five A: assess, access, analyze, act, automate, corresponding to five phases: the method comprises the steps of demand assessment, data access, complete analysis, model demonstration and result display.
6. The mathematical optimization model-based data mining decision diagnostic system of claim 1, wherein: the decision evaluation platform comprises a business understanding module, a data acquisition module, a data exploration module, a model construction module, a model evaluation module, a strategy output module and an application deployment module, wherein the business understanding module is used for forming a preliminary scheme and making a project plan through internal investigation, current situation analysis and clear targets, the data acquisition module is used for collecting data through index design, compiling a data dictionary, providing data requirements and communicating the data requirements, the data exploration module is used for carrying out data exploratory analysis, data quality evaluation and data preprocessing, the model construction module is used for carrying out model training through algorithm selection, the model evaluation module is used for evaluating model performance and effect and forming management suggestions and strategy schemes, the strategy output module is used for outputting an analysis report, and the application deployment module is used for monitoring and timely optimizing model operation effects.
7. The mathematical optimization model-based data mining decision diagnostic system of claim 1, wherein: the data diagnosis platform comprises a database construction module, a predictive maintenance module, an intelligent diagnosis module and an operation and maintenance cost module, wherein the database construction module is used for establishing a fault diagnosis knowledge model base based on ISCS system data and combining data acquired by a sensor, the predictive maintenance module adopts a machine learning algorithm and a model to analyze and evaluate the health condition of equipment and provide support for equipment fault prediction analysis, the intelligent diagnosis module is used for monitoring and evaluating the state of a decision diagnosis system body, the fault occurrence rate of the state of the decision diagnosis system body is reduced, and the operation and maintenance cost module is used for simplifying the decision diagnosis system body, improving the operation and maintenance efficiency and reducing the operation and maintenance cost.
8. The mathematical optimization model-based data mining decision diagnosis method according to any one of claims 1 to 7, comprising the steps of:
step one, a platform architecture: the Internet of things and big data technology are used as supports, a decision diagnosis platform based on a big data fault diagnosis algorithm is created, the decision diagnosis platform is subjected to 'point, line and plane' comprehensive monitoring management, data sharing is realized, dynamic data tracking, fault diagnosis, state monitoring management and health pre-judging services are provided for the decision diagnosis platform, and the sustainable development strategy requirements are met;
step two, data acquisition: the ISCS system or the sensor is used for collecting data of the decision diagnosis platform, and integrating and analyzing big data resources;
step three, data analysis: carding the product analysis report form into an analysis structure according to three factors;
step four, data display: providing and supporting a multi-screen visual application scheme to directionally extract and display required data;
step five, building a platform: an open shared digital platform is built, the informatization management of the whole process is realized, and the omnibearing innovation and promotion of the management are promoted by an informatization technology;
step six, data mining: data mining is carried out according to the actual condition construction model;
step seven, data decision: the closed loop with data mining and its application is completed from the perspective of the b-party.
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