Metallurgy electromechanical construction data management system

Abstract

The invention discloses a data management system for metallurgical electromechanical construction, and belongs to the technical field of metallurgical electrical construction management. The system comprises a data analysis module, a data processing module, a data entry and update module and a data display module. The data analysis module is used for acquiring data related to metallurgical electromechanical construction, screening the data to obtain target data, and preprocessing the target data to construct association rules, and the data processing module is used for performing data analysis on construction process data according to the association rules, generating analysis data, and sending the analysis data to the data processing module. The data recording and updating module is used for recording the analysis data into a pre-established table so as to store the analysis data, and the data display module calls the analysis data recorded in the table and displays the analysis data. The system has efficient data processing capability, and construction data can be input, updated and analyzed in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of metallurgical electrical construction management, and more specifically, to a data management system for metallurgical electromechanical construction. Background Art

[0002] In the field of electromechanical construction of metallurgical projects, as the scale of projects continues to expand and the construction process becomes increasingly complex, the traditional data management method that relies on manual records and paper documents has become more and more problematic. This method leads to low efficiency in data collection, organization, and analysis, and data is easily lost and inaccurate. In addition, the lag in data makes it difficult for management decisions to reflect the actual situation of the project in real time, which has a serious impact on project progress and benefits. Summary of the invention

[0003] In view of the above problems, the present invention proposes a data management system for metallurgical electromechanical construction, comprising: a data analysis module, a data processing module, a data entry and update module and a data display module;

[0004] The data analysis module is used to obtain data related to metallurgical electromechanical construction, screen the data to obtain target data, pre-process the target data to construct association rules, the data processing module is used to perform data analysis on the construction process data according to the association rules to generate analysis data, the data entry and update module is used to enter the analysis data into a pre-established table to store the analysis data, and the data display module retrieves the analysis data entered into the table and displays the analysis data.

[0005] Optionally, the data analysis module screens the data, and the obtained target data is referenceable and highly empirical.

[0006] Optionally, the data analysis module preprocesses the target data to construct association rules, including:

[0007] Check the integrity and abnormality of the target data. If it is incomplete, fill the target data. If there is an abnormality, remove the abnormal data.

[0008] Analyze the data after inspection, including:

[0009] The occurrence frequency of the construction parameters of each project is counted, and the occurrence frequency of different types of construction parameters between different projects is calculated. Multiple parameters with high occurrence frequency are marked as high confidence, and multiple construction parameters with high confidence are screened out. Based on the construction parameters with high confidence, association rules are constructed.

[0010] Optionally, the data analysis module is further used to evaluate and screen the association rules, including:

[0011] Check the rationality of the association rules, eliminate the association rules that do not conform to the actual construction logic, and sort the association rules according to their importance.

[0012] Optionally, the data processing module performs data analysis on the construction process data according to the association rule, including:

[0013] Perform macro analysis, micro analysis and all-round multi-level data mining analysis on the construction process data according to the association rules;

[0014] The macro analysis includes: determining the overall characteristics of data in different construction areas by determining the data distribution in different construction stages;

[0015] The micro-analysis includes: tracking the slight fluctuations of the data of the electromechanical construction equipment in a short period of time to determine the continuous changes of the data in the local construction process;

[0016] The comprehensive and multi-level data mining and analysis includes: mining data according to data type, construction process and participating entities.

[0017] Optionally, the data entry and update module is used to enter the analysis data into a pre-established table to store the analysis data, including:

[0018] When you choose to enter new data, you will enter the table data display area, where existing data will be presented in table form, and you can perform operations in the corresponding cells of the table;

[0019] During the data entry process, the real-time data verification mechanism is triggered to verify whether the data format is correct and whether the data range is reasonable. If the verified data does not meet the requirements, a prompt message will pop up and return to the data operation area for modification. If the data meets the requirements, the save function will be executed.

[0020] Optionally, the data entry and update module is further used to update the analysis data into a pre-established table and store the updated analysis data, including:

[0021] Enter the table data display area, present the existing data in table form, and perform operations in the corresponding cells of the table;

[0022] During the data update process, the real-time data verification mechanism is triggered to verify whether the data format is correct and whether the data range is reasonable. If the verified data does not meet the requirements, a prompt message will pop up and return to the data operation area for modification. If the data meets the requirements, the save function will be executed.

[0023] Optionally, the data display module retrieves the analysis data entered in the form and displays the analysis data, including:

[0024] Based on the visual display component, the analysis data is displayed in the form of a bar chart, a line chart or a pie chart.

[0025] Optionally, the data display module selects visualization chart types based on data requirements, including:

[0026] If you want to compare data size, choose a bar chart; if you want to show the trend of data changes over time, choose a line chart; if you want to show the proportion of data, choose a pie chart.

[0027] Optionally, the system also includes: a data security module, which is used to manage the identity of system users, to verify the identity of users logging into the system, and to set system usage permissions for system users.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] The present invention provides a data management system for metallurgical electromechanical construction, comprising: a data analysis module, a data processing module, a data entry and update module and a data display module; the data analysis module is used to obtain data related to metallurgical electromechanical construction, screen the data to obtain target data, pre-process the target data to construct association rules, the data processing module is used to perform data analysis on construction process data according to the association rules to generate analysis data, the data entry and update module is used to enter the analysis data into a pre-established table to store the analysis data, and the data display module retrieves the analysis data entered in the table to display the analysis data. The present invention has efficient data processing capabilities, which can allow construction data to be entered, updated and analyzed in real time. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a structural diagram of the system of the present invention;

[0031] Figure 2 is a data analysis flow chart of the system of the present invention;

[0032] Figure 3 It is a data processing flow chart of the system of the present invention;

[0033] Figure 4 This is a flow chart of the real-time data entry and update interface operation of the system of the present invention. DETAILED DESCRIPTION

[0034] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0035] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0036] The present invention proposes a data management system for metallurgical electromechanical construction, such as Figure 1 As shown, it includes: data analysis module, data processing module, data entry and update module and data display module;

[0037] The data analysis module is used to obtain data related to metallurgical electromechanical construction, screen the data to obtain target data, pre-process the target data to construct association rules, the data processing module is used to perform data analysis on the construction process data according to the association rules to generate analysis data, the data entry and update module is used to enter the analysis data into a pre-established table to store the analysis data, and the data display module retrieves the analysis data entered into the table and displays the analysis data.

[0038] The data analysis module screens the data, and the obtained target data is referenceable and highly empirical.

[0039] The data analysis module pre-processes the target data to construct association rules, including:

[0040] Check the integrity and abnormality of the target data. If it is incomplete, fill the target data. If there is an abnormality, remove the abnormal data.

[0041] Analyze the data after inspection, including:

[0042] The occurrence frequency of the construction parameters of each project is counted, and the occurrence frequency of different types of construction parameters between different projects is calculated. Multiple parameters with high occurrence frequency are marked as high confidence, and multiple construction parameters with high confidence are screened out. Based on the construction parameters with high confidence, association rules are constructed.

[0043] The data analysis module is also used to evaluate and screen the association rules, including:

[0044] Check the rationality of the association rules, eliminate the association rules that do not conform to the actual construction logic, and sort the association rules according to their importance.

[0045] The data processing module performs data analysis on the construction process data according to the association rules, including:

[0046] Perform macro analysis, micro analysis and all-round multi-level data mining analysis on the construction process data according to the association rules;

[0047] The macro analysis includes: determining the overall characteristics of data in different construction areas by determining the data distribution in different construction stages;

[0048] The micro-analysis includes: tracking the slight fluctuations of the data of the electromechanical construction equipment in a short period of time to determine the continuous changes of the data in the local construction process;

[0049] The comprehensive and multi-level data mining and analysis includes: mining data according to data type, construction process and participating entities.

[0050] The data entry and update module is used to enter the analysis data into a pre-established table to store the analysis data, including:

[0051] When you choose to enter new data, you will enter the table data display area, where existing data will be presented in table form, and you can perform operations in the corresponding cells of the table;

[0052] During the data entry process, the real-time data verification mechanism is triggered to verify whether the data format is correct and whether the data range is reasonable. If the verified data does not meet the requirements, a prompt message will pop up and return to the data operation area for modification. If the data meets the requirements, the save function will be executed.

[0053] The data entry and update module is also used to update the analysis data into a pre-established table and store the updated analysis data, including:

[0054] Enter the table data display area, present the existing data in table form, and perform operations in the corresponding cells of the table;

[0055] During the data update process, the real-time data verification mechanism is triggered to verify whether the data format is correct and whether the data range is reasonable. If the verified data does not meet the requirements, a prompt message will pop up and return to the data operation area for modification. If the data meets the requirements, the save function will be executed.

[0056] The data display module retrieves the analysis data entered in the form and displays the analysis data, including:

[0057] Based on the visual display component, the analysis data is displayed in the form of a bar chart, a line chart or a pie chart.

[0058] The data display module selects the visualization chart type according to data requirements, including:

[0059] If you want to compare data size, choose a bar chart; if you want to show the trend of data changes over time, choose a line chart; if you want to show the proportion of data, choose a pie chart.

[0060] The system also includes: a data security module for managing the identity of system users, for verifying the identity of users logging into the system, and for setting system usage permissions for system users.

[0061] The following is a further description of the system's functions:

[0062] The main functions of the system include:

[0063] 1. Data analysis;

[0064] Through the uploaded data that is referenceable and highly empirical, the data parameters of existing projects are analyzed and processed to find the construction parameters with high frequency between different projects, to build correlation relationships and provide a highly authentic reference for parameter management during the construction process.

[0065] 2. Data processing;

[0066] Based on the correlations generated in the above data analysis, we conduct a comprehensive and in-depth analysis of the data in the construction process, from the macroscopic overall data pattern to the microscopic detailed data trend, and conduct all-round and multi-level mining. Through a scientific and rigorous screening process, we accurately select data parameters that are highly compatible with a single construction project from the massive data that has been analyzed, so that they can serve as a reliable reference and provide strong support for the smooth progress of the construction project.

[0067] 3. Real-time data entry and update interface;

[0068] Design a user-friendly interface through which construction personnel and management personnel can enter new data and update existing data in real time. The interface design is simple and intuitive, presents data in a table format, and provides quick editing and saving functions. At the same time, ensure the accuracy and consistency of data during the entry and update process through real-time data verification and prompt functions.

[0069] 4. Data display interface;

[0070] Develop visual data display components to present analysis results to users in the form of intuitive charts. Use common chart types such as bar charts, line charts, and pie charts to display different types of data, such as construction progress, equipment failure distribution, etc. At the same time, provide interactive data analysis functions, and users can deeply analyze data through operations such as filtering, sorting, and drilling.

[0071] 5. Data security measures;

[0072] For the platform, different operating permissions should be assigned according to different user roles such as administrators, data entry clerks, and data analysts. Administrators can manage platform system settings, user management, and comprehensive data management operations; data entry clerks can only insert and update data in specific data tables, and their operations will be recorded; data analysts mainly have the right to read and analyze data but cannot modify the original data.

[0073] Among them, data analysis, such as Figure 2 As shown, including:

[0074] Obtain uploaded data (project data parameters) that are referenceable and highly empirical from the data storage;

[0075] Check the integrity of the data, fill in the missing data parameters, and correct the abnormal data in the data;

[0076] Analyze the checked data, count the frequency of occurrence of each project data parameter, calculate the frequency of occurrence of different types of parameters between different projects, and mark the ones with high frequency as high confidence. Obtain multiple high-confidence construction parameters by analogy, and construct association rules (identify the association between the project data parameters in the data);

[0077] Evaluate and screen the generated association rules: check the rationality of the association rules and remove the rules that do not conform to the actual construction logic; sort the rules according to their importance (based on a comprehensive evaluation of confidence);

[0078] Output the evaluated and screened association rules;

[0079] Apply association rules to parameter management during the construction process as a reference with high authenticity: before construction, set the target range and warning value of the parameters according to the association rules; during construction, monitor the parameters in real time, and when the parameters are close to the warning value, determine the possible influencing factors and take preventive measures according to the association rules; when the parameters change abnormally, quickly locate the relevant parameters according to the association rules and make adjustments;

[0080] Finish;

[0081] Data processing, such as Figure 3 As shown, including:

[0082] Obtain association rules generated in data analysis;

[0083] Analyze the construction process data: a. Macro analysis: observe the data distribution in different construction stages (such as the proportion of various types of data in the foundation construction stage), and analyze the overall characteristics of data in different construction areas (such as the comparison of data trends on different floors); b. Micro analysis: track the slight fluctuations in the data of electromechanical construction equipment in a short period of time (such as the power change of a certain equipment per minute), and pay attention to the continuous changes in data in local construction processes (such as the temperature change trend in a certain welding process);

[0084] All-round and multi-level mining: mining by data type (such as mining the association between physical parameters and chemical parameters); mining by construction process (such as mining the association between data from material delivery to finished product output); mining by participating entities (such as data patterns corresponding to different construction teams);

[0085] Scientific and rigorous screening process: screening based on project scale (e.g., screening out data parameters with a wide impact range for large projects); screening based on construction difficulty (e.g., giving priority to data parameters related to high-difficulty construction links); screening based on resource allocation (e.g., screening out data closely related to equipment resources);

[0086] Accurately select data parameters suitable for a single construction project;

[0087] Apply data parameters as a reference to construction projects (e.g., to adjust construction plans, optimize resource allocation, etc.);

[0088] Real-time data entry and update interface, such as Figure 4 As shown, including:

[0089] Open the platform interface and determine the user's identity (construction worker / management personnel);

[0090] After confirming your identity, you will enter the table data display area, where existing data will be presented in table form, and you can perform data operations;

[0091] Choose to enter new data or update existing data, and perform the operation in the corresponding cell of the table (quick edit);

[0092] During data entry / update: trigger real-time data verification mechanism: verify whether the data format is correct (such as whether the number meets the required format), verify whether the data range is reasonable (such as whether the value is within the specified range); if the data does not meet the requirements, a prompt message will pop up (prompting the cause of the error), and return to the data operation area for modification; if the data meets the requirements, execute the save function;

[0093] The data is saved / updated successfully;

[0094] 4. Data display interface, including:

[0095] Get updated / analyzed / input data;

[0096] Select the visualization chart type according to the data type: if you want to compare data size (such as construction progress comparison at different stages), choose a bar chart; if you want to show the trend of data changes over time (such as the change of equipment operating parameters over time), choose a line chart; if you want to show the relationship between data proportions (such as the proportion of various equipment failures to total failures), choose a pie chart;

[0097] Build visual data display components: map data to corresponding charts (bar charts, line charts, pie charts, etc.); design chart styles (colors, labels, etc.);

[0098] Display visual charts to users;

[0099] Provide interactive data analysis functions: user-initiated operations (filtering, sorting, drilling, etc.); filtering: filtering and displaying data according to user-set conditions (such as a specific time period, a specific equipment type); sorting: arranging data in ascending or descending order (such as sorting equipment by the number of failures); drilling: drilling down from overall data to specific details (such as drilling from the overall construction progress to the progress details of a certain area);

[0100] Update visualization charts based on user actions;

[0101] 5. Data security measures, including:

[0102] The platform verifies the user's identity (determines whether it is an administrator or a common user);

[0103] If you are an administrator: you can manage platform system settings (such as adjusting system parameters, optimizing system architecture, etc.); perform user management (adding and deleting users, modifying user permissions, etc.); perform comprehensive data management operations (data backup, recovery, data structure modification, etc.);

[0104] If you are a common user: you can browse and view the platform data; you can adjust the display format (pictures, tables, text) of the read data, but you cannot modify the original data;

[0105] The present invention is committed to realizing electronic and automated management of data, has efficient data processing capabilities, and enables real-time input, updating and analysis of construction data.

[0106] In terms of data processing efficiency, real-time performance is outstanding. New data can be entered in the first place to avoid data aggregation delays and ensure that the data reflects the project status in a timely manner. Updates are efficient and data can be updated quickly when data changes to ensure data synchronization. Automated analysis saves time and energy for manual processing. From the perspective of management decision-making, electronicization and automation reduce manual errors, make data more accurate, provide a scientific basis for decision-making, and reduce decision-making risks. At the same time, the platform can quickly provide data and analysis results, allowing managers to make decisions quickly without waiting for data aggregation and collation, thereby improving project promotion efficiency.

[0107] The present invention covers aspects such as data analysis, data processing, real-time data entry and update interface, data display interface, and data security measures. By analyzing and processing data that is referenceable and highly empirical, an association relationship is constructed to provide a highly realistic reference for parameter management during the construction process. The construction data is comprehensively analyzed and mined using the association relationship, and after scientific screening, a reliable basis is provided for construction projects. The real-time data entry and update interface is concisely designed to facilitate operation by construction personnel and management personnel, ensuring the accuracy and consistency of the data. The data display interface presents the analysis results in intuitive charts and provides interactive functions. In terms of data security, different operating permissions are assigned according to different user roles. Administrators can perform comprehensive management, data entry clerks can perform specific operations and record behaviors, and data analysts can read analysis data but cannot modify the original data.

[0108] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0109] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0110] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0111] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0112] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0113] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A data management system for metallurgical electromechanical construction, characterized in that: include: Data analysis module, data processing module, data entry and update module and data display module; The data analysis module is used to obtain data related to metallurgical electromechanical construction, screen the data to obtain target data, pre-process the target data to construct association rules, the data processing module is used to perform data analysis on the construction process data according to the association rules to generate analysis data, the data entry and update module is used to enter the analysis data into a pre-established table to store the analysis data, and the data display module retrieves the analysis data entered into the table and displays the analysis data.

2. The system according to claim 1, characterized in that The data analysis module screens the data, and the obtained target data is referenceable and highly empirical.

3. The system according to claim 1, characterized in that The data analysis module preprocesses the target data to construct association rules, including: Check the integrity and abnormality of the target data. If it is incomplete, fill the target data. If there is an abnormality, remove the abnormal data. Analyze the data after inspection, including: The occurrence frequency of the construction parameters of each project is counted, and the occurrence frequency of different types of construction parameters between different projects is calculated. Multiple parameters with high occurrence frequency are marked as high confidence, and multiple construction parameters with high confidence are screened out. Based on the construction parameters with high confidence, association rules are constructed.

4. The system according to claim 3, characterized in that The data analysis module is also used to evaluate and screen the association rules, including: Check the rationality of the association rules, eliminate the association rules that do not conform to the actual construction logic, and sort the association rules according to their importance.

5. The system according to claim 1, characterized in that The data processing module performs data analysis on the construction process data according to the association rules, including: Perform macro analysis, micro analysis and all-round multi-level data mining analysis on the construction process data according to the association rules; The macro analysis includes: determining the overall characteristics of data in different construction areas by determining the data distribution in different construction stages; The micro-analysis includes: tracking the slight fluctuations of the data of the electromechanical construction equipment in a short period of time to determine the continuous changes of the data in the local construction process; The comprehensive and multi-level data mining and analysis includes: mining data according to data type, construction process and participating entities.

6. The system according to claim 1, characterized in that The data entry and update module is used to enter the analysis data into a pre-established table to store the analysis data, including: When you choose to enter new data, you will enter the table data display area, where existing data will be presented in table form, and you can perform operations in the corresponding cells of the table; During the data entry process, the real-time data verification mechanism is triggered to verify whether the data format is correct and whether the data range is reasonable. If the verified data does not meet the requirements, a prompt message will pop up and return to the data operation area for modification. If the data meets the requirements, the save function will be executed.

7. The system according to claim 1, characterized in that The data entry and update module is also used to update the analysis data into a pre-established table and store the updated analysis data, including: Enter the table data display area, present the existing data in table form, and perform operations in the corresponding cells of the table; During the data update process, the real-time data verification mechanism is triggered to verify whether the data format is correct and whether the data range is reasonable. If the verified data does not meet the requirements, a prompt message will pop up and return to the data operation area for modification. If the data meets the requirements, the save function will be executed.

8. The system according to claim 1, characterized in that The data display module retrieves the analysis data entered in the form and displays the analysis data, including: Based on the visual display component, the analysis data is displayed in the form of a bar chart, a line chart or a pie chart.

9. The system according to claim 8, characterized in that The data display module selects the type of visualization chart according to data requirements, including: If you want to compare data size, choose a bar chart; if you want to show the trend of data changes over time, choose a line chart; if you want to show the proportion of data, choose a pie chart.

10. The system according to claim 1, characterized in that The system also includes: a data security module, which is used to manage the identity of system users, to verify the identity of users logging into the system, and to set system usage permissions for system users.

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