CN115796715B - Galvanized sheet processing monitoring system based on big data processing - Google Patents
Galvanized sheet processing monitoring system based on big data processing Download PDFInfo
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Abstract
The invention provides a galvanized sheet processing process monitoring system based on big data processing, which relates to the technical field of galvanized sheet processing, wherein a galvanized monitoring terminal, an uncoiling and shearing monitoring terminal, a welding punching and deoxidizing monitoring terminal, an acid rinsing and drying monitoring terminal, a galvanized monitoring terminal, a cooling water quenching, withdrawal, straightening and drying monitoring terminal and a coiling monitoring terminal are respectively connected with a galvanized data processing server; the galvanization monitoring server acquires galvanization process data based on the monitoring terminal, and the galvanization data processing server collects the galvanization process data and stores the galvanization process data into the database for the galvanization monitoring terminal to control, retrieve and analyze whether the galvanization process meets the process requirements based on the galvanization process data. The convenience of monitoring the galvanization process data by the user is improved, the speed of retrieving the galvanization process data by the user is improved, the difficulty of searching the galvanization process data is reduced, the stability of the galvanization process is further ensured, and the quality of the galvanized sheet is ensured.
Description
Technical Field
The invention relates to the technical field of galvanized sheet processing, in particular to a galvanized sheet processing process monitoring system based on big data processing.
Background
The galvanized sheet is a steel sheet plated with a layer of zinc on the surface. Galvanization is a frequently used, economical and effective rust prevention method.
The existing galvanization process relates to a hot-base galvanized sheet and acid-washing sheet composite production line and production process, as in patent number 202211055639.0, and specifically discloses hoisting equipment for hoisting hot-rolled steel coils onto an uncoiler, and cutting end scraps by a shearing machine after uncoiling; the strip steel is sent into a laser welding machine through a pinch roll to carry out welding and punching work; the welded strip steel passes through a disc shear, and is trimmed and deburred; after trimming, the trimming material is curled into a coiled outer pin, the strip steel enters a horizontal loop, and then a withdrawal straightening and descaling machine is used for withdrawing and straightening and breaking phosphorus, so that iron scales on the surface of the strip steel are loosened; strip steel enters a pickling tank, and hydrochloric acid pickling is carried out in the two pickling tanks; the strip steel subjected to acid washing enters a rinsing tank, five-stage rinsing is carried out on the strip steel, and after rinsing, a first dryer is used for blowing and drying, so that the surface of the strip steel is ensured to be dried; the dried strip steel enters a wet leveling machine for wet leveling, and the plate shape and the surface roughness are improved; after the strip steel is leveled, iron powder and dirt on the surface of the strip steel are scrubbed by desalted water, and the strip steel enters a second dryer for drying, so that the strip steel is ensured to enter the front of an electromagnetic induction heating furnace for cleaning and drying the strip steel surface; the strip steel enters an electromagnetic induction heating furnace, and the strip steel is heated to the temperature of a zinc feeding pot; the strip steel enters a zinc pot, a pure zinc coating or a zinc-aluminum-magnesium coating is coated on the surface of the strip steel, the strip steel ascends, and the strip steel is purged by a Dumet air knife, so that the surface coating is uniformly coated; the strip steel enters an uplink cooling section, reaches the top of a cooling tower, goes down through a tower top roller, enters the downlink cooling section, enters a water quenching tank, and goes up for drying; the coating enters a wet finishing machine through a deviation correcting roller and a tension roller, so that the roughness of the surface of the coating is improved; the polished strip steel is cleaned, purged and then enters a withdrawal and straightening machine to further improve the plate shape, and the surface is squeezed and purged to ensure that the surface of the strip steel is dried before entering a roll coating machine; the strip steel after withdrawal, straightening and drying enters a post-passivation treatment section, a horizontal roller coater is used for passivating a coating, then the strip steel enters a drying furnace for induction heating and drying, and finally the strip steel enters an air cooling section; the treated strip steel enters an outlet horizontal loop through a water cooling roller; then the strip steel enters a vertical and horizontal inspection table, and the strip steel is subjected to electrostatic oiling; entering an outlet shear, shearing waste and a template; finally, the strip steel enters a coiling machine to be coiled, uncoiled, bundled and weighed; conveying to a packaging line, bundling, packaging and warehousing.
Although the hot-base galvanized sheet and pickled sheet composite production line and the production process disclosed by the document realize the processing process of the galvanized sheet, the galvanization process is not effectively monitored, and if data abnormality occurs in the galvanization process, or a certain step is not operated according to the parameters required by the preset process, the galvanization quality cannot be met due to incapability of timely finding, and the quality of the galvanized sheet is affected. But also cannot save the galvanization process data, and cannot provide technical support for the later galvanization process.
Disclosure of Invention
The invention provides a galvanized sheet processing process monitoring system based on big data processing, which can monitor galvanization process data in real time, and can find out and process in time if abnormality occurs, thereby ensuring galvanization quality.
The galvanized sheet processing process monitoring system based on big data processing comprises: uncoiling and shearing monitoring terminals, welding punching and deoxidizing monitoring terminals, acid rinsing and drying monitoring terminals, galvanization monitoring terminals, cooling water quenching, drawing, straightening and drying monitoring terminals, coil shearing monitoring terminals, galvanization monitoring terminals, databases and galvanization data processing servers;
the system comprises a galvanization monitoring terminal, an uncoiling shearing monitoring terminal, a welding punching deoxidation monitoring terminal, an acid rinsing drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching withdrawal straightening drying monitoring terminal and a coiling shearing monitoring terminal, wherein the galvanization data processing server is respectively connected with the galvanization monitoring terminal;
the galvanization monitoring server obtains galvanization process data based on the monitoring terminal, and the galvanization process data comprises: hot rolled steel uncoiling and shearing process data, welding punching process data, iron scale removal process data, pickling, rinsing and drying process data of the hot rolled steel, zinc pot operation data of a galvanizing process, durum air knife purging data, cooling data, water quenching tank state data, withdrawal and straightening machine state data, drying data and shearing coiling weighing data;
the galvanization data processing server collects galvanization process data and stores the galvanization process data into a database for the galvanization monitoring terminal to control, retrieve and analyze whether the galvanization process meets the process requirements based on the galvanization process data.
Preferably, the galvanization data processing server comprises: the system comprises a system setting module, a user management function module and a galvanized data navigation module;
the system setting module is used for setting titles, columns, formats and monitoring pages of the galvanizing process for galvanization processing personnel;
the user management function module is used for enabling a user to log in the galvanized data processing server in an identity recognition mode, dividing different application user roles of the platform and designing corresponding user platform management authority levels;
the galvanized data navigation module is used for setting navigation keywords for galvanized data transmitted by the uncoiling and shearing monitoring terminal, the welding punching and deoxidizing monitoring terminal, the acid rinsing and drying monitoring terminal, the galvanized monitoring terminal, the cooling water quenching, stretching and drying monitoring terminal and the coiling monitoring terminal, displaying the galvanized data based on the navigation keywords, and setting an independent display interface based on each terminal.
Preferably, the galvanization data processing server further comprises: the system comprises a resource management module, a galvanization data retrieval module and a personality monitoring module;
the resource management module is used for classifying, modifying and deleting the galvanization process data, uploading, modifying, deleting, comparing and publishing the galvanization process data to the galvanization monitoring terminal machine and displaying the state of the galvanization process data;
the galvanization data retrieval module obtains a diversified retrieval form of galvanization keywords, galvanization time points, technological parameters and galvanization process equipment input by a user, and is convenient for the user to inquire;
the personality monitoring module is used for realizing the identity authentication of the user and distributing customized personalized page contents according to the authority of the user identity authentication.
Preferably, the galvanization data processing server further comprises: the device comprises a galvanization data acquisition module, a galvanization data storage processing module and a galvanization data calculation module;
the galvanization data acquisition module acquires galvanization process data of an uncoiling and shearing monitoring terminal, a welding punching and deoxidizing monitoring terminal, an acid rinsing and drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching, drawing and straightening and drying monitoring terminal and a coil shearing monitoring terminal based on the Sqoop relation data model, establishes a communication frame based on Netty, and collects galvanization process logs through a Flume model; customizing galvanization data sending and receiving in the galvanization data transmission process based on the Flume model;
the galvanization data storage processing module stores galvanization process data based on the HBase model, and executes a retrieval mode through a secondary index scheme;
the galvanization data calculation module adopts a currently mainstream parallelization calculation frame Hadoop model and Spark model, integrates a Flume model and a Kafka model to calculate real-time galvanization process data, realizes that the galvanization process data is transmitted to a distributed file system from a Linux environment, and provides galvanization process data through parallel calculation.
Preferably, the galvanization data processing server further comprises: a galvanization data analysis module and a Web interaction module;
the galvanization data analysis module receives analysis instructions sent by the galvanization monitoring terminal machine, counts galvanization historical data, real-time galvanization process data, historical galvanization process data inquiry and predicts galvanization process data; before analysis, parallelizing a prediction algorithm through ETL model cleaning operation, and executing analysis of galvanization process data;
the Web interaction module realizes visualization of galvanization process data based on ECharts, and combines Ajax communication to realize real-time monitoring of galvanization process data; and the method is also used for realizing concurrent operation on the Netty service in the galvanization data acquisition module.
Preferably, the galvanization data processing server adopts a master-slave thread model as a working mode, receives a galvanization monitoring terminal, an uncoiling and shearing monitoring terminal, a welding punching and deoxidizing monitoring terminal, an acid rinsing and drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching, drawing and drying monitoring terminal and a shearing and winding monitoring terminal, and performs addition, deletion and correction on galvanization process data after monitoring read/write operation;
the master-slave thread model is provided with a polling multiplexer for processing a plurality of terminal connections, when a galvanized data processing server monitors a read request, the data transmitted by the terminal are read, after the galvanized process data are read, decoding is carried out, the data are stored in a database after decoding, and after the operation is finished, the coded information is returned to the corresponding terminal.
Preferably, the galvanization data processing server receives the command of the galvanization monitoring terminal, translates the corresponding command into a MapReduce task through the Sqoop relational data model, and realizes the import and export of galvanization process data based on the data in the relational database and the Hadoop model.
Preferably, the galvanization data processing server acquires and generates n galvanization process data training subsets from the uncoiling and shearing monitoring terminal, the welding punching and deoxidizing monitoring terminal, the acid rinsing and drying monitoring terminal, the galvanization monitoring terminal, the cooling water quenching, drawing and straightening and drying monitoring terminal and the coiling monitoring terminal respectively by using a sampling algorithm based on a random forest algorithm, and then constructs n galvanization process decision trees through the galvanization process data training subsets. After the training of the n galvanization process decision trees is completed, a galvanization process data prediction model of each galvanization monitoring time period is constructed, and the galvanization process data prediction model obtains predicted galvanization process data according to the voting result of the decision trees.
Preferably, the galvanization data processing server gathers galvanization process data, and distinguishes the galvanization process data from the galvanization process data with expired failure;
the galvanization monitoring terminal provides data query of the galvanization process and is provided with effective keyword retrieval of the galvanization process data;
the galvanized data processing server sets a label for the galvanized data according to the monitoring history; and taking the galvanization process data with the label as galvanization monitoring data, so that a user monitors the galvanization process.
Preferably, the galvanization data processing server performs summarization classification on the galvanization process data with the label, builds a galvanization process data monitoring global map, and builds a corresponding relation between the galvanization process data monitoring global map and corresponding galvanization process equipment and galvanization process data, so as to be used for calling the corresponding galvanization process equipment and galvanization process data through the galvanization process data monitoring global map;
the global map for monitoring the galvanization process data can customize corresponding galvanization process data according to the needs of users to perform key monitoring. The convenience of monitoring the galvanization process data by the user is improved, the speed of retrieving the galvanization process data by the user is improved, the difficulty of searching the galvanization process data is reduced, the stability of the galvanization process is further ensured, and the quality of the galvanized sheet is ensured.
From the above technical scheme, the invention has the following advantages:
the invention can summarize the data of the galvanizing process, is convenient for galvanized processing personnel and galvanized monitoring personnel to review, and improves the monitoring efficiency of the galvanizing processing process. The galvanizing processing data can be collected, stored and processed, and the whole galvanizing processing process is described by using a multidimensional space. The quality and efficiency of the galvanized sheet are improved, potential safety hazards of the galvanized sheet processing quality are found in time, so that the management level and efficiency of the galvanized processing process are improved, and timeliness and scientificity of monitoring, managing and controlling the whole galvanized processing process are realized.
The galvanized sheet processing process monitoring system based on big data processing provided by the invention can customize corresponding galvanization process data according to the needs of users to perform key monitoring. The convenience of monitoring the galvanization process data by the user is improved, the speed of retrieving the galvanization process data by the user is improved, the difficulty of searching the galvanization process data is reduced, the stability of the galvanization process is further ensured, and the quality of the galvanized sheet is ensured.
In the use process, the galvanized data processing server provides a way for inquiring the galvanized process data for the user, and the convenience for inquiring the galvanized process data is greatly improved. The system can perform key monitoring display according to important parameters in the galvanizing process, and provide corresponding data information for users according to the galvanized data labels.
Drawings
In order to more clearly illustrate the technical solutions of the present invention, the drawings that are needed in the description will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a galvanized sheet processing monitoring system based on big data processing.
Detailed Description
The galvanized sheet processing process monitoring system framework based on big data processing provided by the invention can comprise an uncoiling and shearing monitoring terminal, a welding punching and deoxidizing monitoring terminal, an acid rinsing and drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching and withdrawal and straightening drying monitoring terminal, a coil shearing monitoring terminal, a galvanization monitoring terminal machine, a database and a galvanization data processing server. The network is a medium for providing a communication link among an uncoiling and shearing monitoring terminal, a welding punching and deoxidizing monitoring terminal, an acid rinsing and drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching and withdrawal and straightening drying monitoring terminal, a coiling monitoring terminal, a galvanization monitoring terminal, a database and a galvanization data processing server. The network may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
It should be understood that the numbers of uncoiling and shearing monitoring terminals, welding punching and deoxidizing monitoring terminals, acid rinsing and drying monitoring terminals, galvanization monitoring terminals, cooling water quenching and withdrawal and straightening drying monitoring terminals, coiling monitoring terminals, galvanization monitoring terminals, databases and galvanization data processing servers in fig. 1 are merely illustrative. There may be any number of terminals and servers, as desired for implementation. For example, the galvanization data processing server may be a server cluster formed by a plurality of servers.
The galvanization data processing server may include a wireless communication unit, an audio/video (a/V) input unit, a user input unit, a sensing unit, an output unit, a memory, an interface unit, a controller, a power supply unit, and the like. It should be understood that not all illustrated components may be required to be implemented. More or fewer components may be implemented instead.
The user can interact with the server through the network using the galvanization monitoring terminal to receive or send messages or the like. The galvanization monitoring terminal may be a variety of electronic devices with display screens including, but not limited to, smartphones, tablet computers, laptop and desktop computers, digital cinema projectors, and the like.
The uncoiling and shearing monitoring terminal can monitor state information of the uncoiling machine and the shearing machine. The welding punching deoxidation monitoring terminal can monitor state information of the laser welding machine, the punching machine and the withdrawal straightening and descaling machine. The acid rinsing and drying monitoring terminal can monitor state information of the pickling tank, the rinsing tank and the dryer. The galvanization monitoring terminal can monitor state information of a heating furnace, a zinc pot, a Dumet air knife, a cooling tower, a water quenching tank, a wet finishing machine, a withdrawal and straightening machine, a third dryer, a horizontal roller coater and a drying furnace. The cooling water quenching withdrawal and straightening drying monitoring terminal can monitor state information of the cooling device, the water quenching device, the withdrawal and straightening device and the drying device. The shearing and rolling monitoring terminal can monitor state information of the shearing machine and the rolling machine.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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.
The galvanization monitoring server obtains galvanization process data based on the monitoring terminal, and the galvanization process data comprises: hot rolled steel uncoiling and shearing process data, welding punching process data, iron scale removal process data, pickling, rinsing and drying process data of the hot rolled steel, zinc pot operation data of a galvanizing process, durum air knife purging data, cooling data, water quenching tank state data, withdrawal and straightening machine state data, drying data and shearing coiling weighing data;
the galvanization data processing server collects galvanization process data and stores the galvanization process data into a database for the galvanization monitoring terminal to control, retrieve and analyze whether the galvanization process meets the process requirements based on the galvanization process data.
In one exemplary embodiment, a galvanization data processing server includes: the system comprises a system setting module, a user management function module, a galvanization data navigation module, a resource management module, a galvanization data retrieval module and a personality monitoring module;
the system setting module is used for setting titles, columns, formats and monitoring pages of the galvanizing process for galvanization processing personnel.
The user management function module is used for enabling a user to log in the galvanized data processing server in an identity recognition mode, dividing different application user roles of the platform and designing corresponding user platform management authority levels;
the galvanized data navigation module is used for setting navigation keywords for galvanized data transmitted by the uncoiling and shearing monitoring terminal, the welding punching and deoxidizing monitoring terminal, the acid rinsing and drying monitoring terminal, the galvanized monitoring terminal, the cooling water quenching, stretching and drying monitoring terminal and the coiling monitoring terminal, displaying the galvanized data based on the navigation keywords, and setting an independent display interface based on each terminal.
The resource management module is used for classifying, modifying and deleting the galvanization process data, uploading, modifying, deleting, comparing and publishing the galvanization process data to the galvanization monitoring terminal machine, and displaying the state of adding the galvanization process data.
The galvanization data retrieval module obtains a diversified retrieval form of galvanization keywords, galvanization time points, technological parameters and galvanization process equipment input by a user, and is convenient for the user to inquire;
the personality monitoring module is used for realizing the identity authentication of the user and distributing customized personalized page contents according to the authority of the user identity authentication.
As an embodiment of the present invention, the galvanization data processing server further includes: the system comprises a galvanization data acquisition module, a galvanization data storage processing module, a galvanization data calculation module, a galvanization data analysis module and a Web interaction module;
the galvanization data acquisition module acquires galvanization process data of an uncoiling and shearing monitoring terminal, a welding punching and deoxidizing monitoring terminal, an acid rinsing and drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching, drawing and straightening and drying monitoring terminal and a coil shearing monitoring terminal based on the Sqoop relation data model, establishes a communication frame based on Netty, and collects galvanization process logs through a Flume model; customizing galvanization data sending and receiving in the galvanization data transmission process based on the Flume model;
the galvanization data storage processing module stores galvanization process data based on the HBase model, and executes a retrieval mode through a secondary indexing scheme. Unstructured data may be stored in the HDFS model in addition to galvanization process data;
the galvanization data calculation module adopts a currently mainstream parallelization calculation framework Hadoop model and Spark model, calculates real-time galvanization process data based on offline calculation galvanization process data states, integrates a Flume model and a Kafka model, realizes that the galvanization process data is transferred to a distributed file system from a Linux environment, and provides galvanization process data through parallel calculation.
The galvanization data analysis module receives analysis instructions sent by the galvanization monitoring terminal machine, counts galvanization historical data, real-time galvanization process data, historical galvanization process data inquiry and predicts galvanization process data; before analysis, parallelizing a prediction algorithm through ETL model cleaning operation, and executing analysis of galvanization process data;
the Web interaction module realizes visualization of galvanization process data based on ECharts, and combines Ajax communication to realize real-time monitoring of galvanization process data; and the system is also used for realizing concurrent operation on the Netty service in the galvanization data acquisition module, reading galvanization process data in the database based on the Spring model and the MyBatis completion Web interaction module, and realizing the request and jump transfer of the galvanization data page of the system.
In the invention, a master-slave thread model is adopted as a working mode by a galvanization data processing server, a galvanization monitoring terminal, an uncoiling and shearing monitoring terminal, a welding punching and deoxidizing monitoring terminal, an acid rinsing and drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching, drawing and drying monitoring terminal and a shearing and winding monitoring terminal are received, and after a read/write operation is monitored, galvanization process data are added, deleted and revised;
the master-slave thread model is provided with a polling multiplexer for processing a plurality of terminal connections, when a galvanized data processing server monitors a read request, the data transmitted by the terminal are read, after the galvanized process data are read, decoding is carried out, the data are stored in a database after decoding, and after the operation is finished, the coded information is returned to the corresponding terminal.
When the galvanization data processing server receives the command or call history data of the galvanization monitoring terminal, the galvanization data processing server translates the corresponding command into a MapReduce task through the Sqoop relational data model, and the import and export of galvanization process data are realized based on the data in the relational database and the Hadoop model.
Taking the introduction of galvanization process data as an example: and acquiring galvanization process data from the Sqoop relational data model database, wherein the galvanization process data of the database is mapped into Java objects, and the Sqoop generates a class with the same table name to finish galvanization process data line record.
Further, the galvanization data processing server acquires and generates n galvanization process data training subsets from the uncoiling and shearing monitoring terminal, the welding punching and deoxidizing monitoring terminal, the acid rinsing and drying monitoring terminal, the galvanization monitoring terminal, the cooling water quenching, drawing and straightening and drying monitoring terminal and the coiling monitoring terminal respectively by using a sampling algorithm based on a random forest algorithm, and then constructs n galvanization process decision trees through the galvanization process data training subsets. After the training of the n galvanized process decision trees is completed, a galvanized process data prediction model of each galvanization monitoring time period is constructed, and the galvanization process data prediction model obtains predicted galvanization process data according to the voting result of the decision trees, so that the galvanization process data can be predicted, and the galvanization process risk can be reduced when the abnormality is predicted.
In the embodiment of the invention, a galvanization data processing server gathers galvanization process data and distinguishes the galvanization process data from the galvanization process data with expired failure;
the galvanization monitoring terminal provides data inquiry of the galvanization process and configures keyword retrieval aiming at the current effective galvanization process data;
the galvanized data processing server sets a label for the galvanized data according to the monitoring history; and taking the galvanization process data with the galvanization data label as galvanization monitoring data, so that a user monitors the galvanization process. The pertinence of the monitoring is improved, and important galvanization data can be timely displayed and called.
In the use process, the galvanized data processing server provides a way for inquiring the galvanized process data for the user, and the convenience for inquiring the galvanized process data is greatly improved. The system can perform key monitoring display according to important parameters in the galvanizing process, and provide corresponding data information for users according to the galvanized data labels.
The galvanization data processing server performs summarization classification on the galvanization process data with the labels, builds a galvanization process data monitoring global map, and builds a corresponding relation between the galvanization process data monitoring global map and corresponding galvanization process equipment and galvanization process data, so that the corresponding galvanization process equipment and galvanization process data can be called through the galvanization process data monitoring global map;
the global map for monitoring the galvanization process data can customize corresponding galvanization process data according to the needs of users to perform key monitoring. The convenience of monitoring the galvanization process data by the user is improved, the speed of retrieving the galvanization process data by the user is improved, the difficulty of searching the galvanization process data is reduced, the stability of the galvanization process is further ensured, and the quality of the galvanized sheet is ensured.
Based on the system, the invention can collect the data of the galvanizing process, is convenient for galvanized processing personnel and galvanized monitoring personnel to review, and improves the monitoring efficiency of the galvanizing processing process. The galvanizing processing data can be collected, stored and processed, and the whole galvanizing processing process is described by using a multidimensional space. The quality and efficiency of the galvanized sheet are improved, potential safety hazards of the galvanized sheet processing quality are found in time, so that the management level and efficiency of the galvanized processing process are improved, and timeliness and scientificity of monitoring, managing and controlling the whole galvanized processing process are realized.
The big data processing based galvanized sheet processing monitoring system is the unit and algorithm steps of the examples described in connection with the embodiments disclosed herein, and can be implemented in electronic hardware, computer software, or a combination of both, and to clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been generally described in terms of functionality in the foregoing description. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Those skilled in the art will appreciate that aspects of the galvanized sheet processing monitoring system based on big data processing may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (4)
1. Big data processing-based galvanized sheet processing monitoring system, which is characterized by comprising: uncoiling and shearing monitoring terminals, welding punching and deoxidizing monitoring terminals, acid rinsing and drying monitoring terminals, galvanization monitoring terminals, cooling water quenching, drawing, straightening and drying monitoring terminals, coil shearing monitoring terminals, galvanization monitoring terminals and galvanization data processing servers;
the system comprises a galvanization monitoring terminal, an uncoiling shearing monitoring terminal, a welding punching deoxidation monitoring terminal, an acid rinsing drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching withdrawal straightening drying monitoring terminal and a coiling shearing monitoring terminal, wherein the galvanization data processing server is respectively connected with the galvanization monitoring terminal;
the galvanization monitoring server obtains galvanization process data based on the monitoring terminal, and the galvanization process data comprises: hot rolled steel uncoiling and shearing process data, welding punching process data, iron scale removal process data, pickling, rinsing and drying process data of the hot rolled steel, zinc pot operation data of a galvanizing process, durum air knife purging data, cooling data, water quenching tank state data, withdrawal and straightening machine state data, drying data and shearing coiling weighing data;
the galvanization data processing server collects galvanization process data and stores the galvanization process data into a database for the galvanization monitoring terminal to control, search and analyze whether the galvanization process meets the process requirements based on the galvanization process data;
the galvanization data processing server further includes: the device comprises a galvanization data acquisition module, a galvanization data storage processing module and a galvanization data calculation module;
the galvanization data acquisition module acquires galvanization process data of an uncoiling and shearing monitoring terminal, a welding punching and deoxidizing monitoring terminal, an acid rinsing and drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching, drawing and straightening and drying monitoring terminal and a coil shearing monitoring terminal based on the Sqoop relation data model, establishes a communication frame based on Netty, and collects galvanization process logs through a Flume model; customizing galvanization data sending and receiving in the galvanization data transmission process based on the Flume model;
the galvanization data storage processing module stores galvanization process data based on the HBase model, and executes a retrieval mode through a secondary index scheme;
the galvanization data calculation module adopts a parallelization calculation frame Hadoop model and a Spark model, integrates a Flume model and a Kafka model to calculate real-time galvanization process data, realizes that the galvanization process data is transmitted to a distributed file system from a Linux environment, and provides galvanization process data by parallel calculation;
the galvanization data processing server further includes: a galvanization data analysis module and a Web interaction module;
the galvanization data analysis module receives analysis instructions sent by the galvanization monitoring terminal machine, counts galvanization historical data, real-time galvanization process data, historical galvanization process data inquiry and predicts galvanization process data; before analysis, parallelizing a prediction algorithm through ETL model cleaning operation, and executing analysis of galvanization process data;
the Web interaction module realizes visualization of galvanization process data based on ECharts, and combines Ajax communication to realize real-time monitoring of galvanization process data; the method is also used for realizing concurrent operation on the Netty service in the galvanization data acquisition module;
the galvanization data processing server adopts a master-slave thread model as a working mode, receives a connection request based on TCP of a galvanization monitoring terminal, an uncoiling shearing monitoring terminal, a welding punching deoxidation monitoring terminal, an acid rinsing drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching withdrawal straightening drying monitoring terminal and a shearing winding monitoring terminal, and performs addition, deletion and correction checking on galvanization process data after monitoring read/write operation;
the master-slave thread model is provided with a polling multiplexer for processing a plurality of terminal connections, when a galvanized data processing server monitors a read request, the data transmitted by the terminal are read, after the galvanized process data are read, decoding is carried out, the data are stored in a database after decoding, and after the operation is finished, the coded message is returned to the corresponding terminal;
the galvanization data processing server obtains and generates n galvanization process data training subsets from an uncoiling shearing monitoring terminal, a welding punching deoxidation monitoring terminal, an acid rinsing drying monitoring terminal, a galvanization monitoring terminal, a cooling water quenching withdrawal straightening drying monitoring terminal and a coiling monitoring terminal respectively by using a sampling algorithm based on a random forest algorithm, and then constructs n galvanization process decision trees through the galvanization process data training subsets;
after the training of the n galvanization process decision trees is completed, constructing a galvanization process data prediction model of each galvanization monitoring time period, wherein the galvanization process data prediction model obtains predicted galvanization process data according to the voting result of the decision trees;
the galvanization data processing server gathers galvanization process data and distinguishes the galvanization process data from the galvanization process data with expiration failure;
the galvanization monitoring terminal provides data query of the galvanization process and is provided with effective keyword retrieval of the galvanization process data;
the galvanized data processing server sets a label for the galvanized data according to the monitoring history; taking the galvanization process data with the label as galvanization monitoring data, so that a user monitors the galvanization process;
the galvanization data processing server performs summarization classification on the galvanization process data with the labels, builds a galvanization process data monitoring global map, and builds a corresponding relation between the galvanization process data monitoring global map and corresponding galvanization process equipment and galvanization process data, so that the corresponding galvanization process equipment and galvanization process data can be called through the galvanization process data monitoring global map;
the global map for monitoring the galvanization process data can customize corresponding galvanization process data according to the needs of users to perform key monitoring.
2. The big data processing based galvanized sheet processing monitoring system according to claim 1, wherein the galvanization data processing server comprises: the system comprises a system setting module, a user management function module and a galvanized data navigation module;
the system setting module is used for setting titles, columns, formats and monitoring pages of the galvanizing process for galvanization processing personnel;
the user management function module is used for enabling a user to log in the galvanized data processing server in an identity recognition mode, dividing different application user roles of the platform and designing corresponding user platform management authority levels;
the galvanized data navigation module is used for setting navigation keywords for galvanized data transmitted by the uncoiling and shearing monitoring terminal, the welding punching and deoxidizing monitoring terminal, the acid rinsing and drying monitoring terminal, the galvanized monitoring terminal, the cooling water quenching, stretching and drying monitoring terminal and the coiling monitoring terminal, displaying the galvanized data based on the navigation keywords, and setting an independent display interface based on each terminal.
3. The big data processing based galvanized sheet processing monitoring system according to claim 1, wherein,
the galvanization data processing server further includes: the system comprises a resource management module, a galvanization data retrieval module and a personality monitoring module;
the resource management module is used for classifying, modifying and deleting the galvanization process data, uploading, modifying, deleting, comparing and publishing the galvanization process data to the galvanization monitoring terminal machine and displaying the state of the galvanization process data;
the galvanization data retrieval module obtains a diversified retrieval form of galvanization keywords, galvanization time points, technological parameters and galvanization process equipment input by a user, and is convenient for the user to inquire;
the personality monitoring module is used for realizing the identity authentication of the user and distributing customized personalized page contents according to the authority of the user identity authentication.
4. The big data processing based galvanized sheet processing monitoring system according to claim 1, wherein,
the galvanization data processing server receives the command of the galvanization monitoring terminal, translates the corresponding command into a MapReduce task through the Sqoop relational data model, and realizes the import and export of galvanization process data based on the data in the relational database and the Hadoop model.
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