CN116029679A - Multi-factor analysis platform based on data base - Google Patents
Multi-factor analysis platform based on data base Download PDFInfo
- Publication number
- CN116029679A CN116029679A CN202310075276.5A CN202310075276A CN116029679A CN 116029679 A CN116029679 A CN 116029679A CN 202310075276 A CN202310075276 A CN 202310075276A CN 116029679 A CN116029679 A CN 116029679A
- Authority
- CN
- China
- Prior art keywords
- data
- equipment
- module
- analysis
- personnel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a multi-factor analysis platform based on a data base, which comprises a centralized data storage system, a query system and a data analysis system, wherein a data channel is established between the query system and the data analysis system, and a data transmission channel is established between the data analysis system and the centralized data storage system; the centralized data storage system comprises a data acquisition module and a data classification module; by arranging the data base, various data suitable for the user can be intuitively found out through the data base in the early stage of new engineering according to the evaluation of the data base on personnel and equipment, and the system is more efficient.
Description
Technical Field
The invention relates to the technical field of data bases, in particular to a multi-factor analysis platform based on a data base.
Background
The intelligent construction site is an informationized ecological circle of construction projects, which is managed around the construction process, is established for interconnection collaboration, intelligent production and scientific management, and the data is subjected to data mining analysis with engineering information acquired by the Internet of things in a virtual reality environment, so that process trend prediction and expert planning are provided, visual intelligent management of engineering construction is realized, the informationized level of engineering management is improved, and green construction and ecological construction are gradually realized.
At present, the intelligent construction projects of all construction companies are different, due to the fact that the construction projects are different, data extraction is not accurate enough, time-consuming long data arrangement is complicated, the preparation time of the early stage of a new project is greatly increased, timely starting of the project is not facilitated, timely reference is not obtained from an old project, and unexpected situations are easy to occur.
Disclosure of Invention
The invention aims to provide a multi-factor analysis platform based on a data base to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the multi-factor analysis platform based on the data base comprises a centralized data storage system, a query system and a data analysis system, wherein a data channel is established between the query system and the data analysis system, and a data transmission channel is established between the data analysis system and the centralized data storage system; the centralized data storage system comprises a data acquisition module and a data classification module.
As a preferable scheme of the invention, the data acquisition module comprises a personnel data acquisition sub-module and a device data acquisition sub-module, wherein the personnel data acquisition sub-module is used for acquiring information of all staff, including staff identity information acquisition, staff daily attendance information acquisition and staff personal financial information acquisition, and personal information collection is formed for all engineering staff participating in the same engineering of a company independently, and staff personal financial information acquisition mainly acquires personal financial expenditure conditions during the beginning of the engineering.
As a preferable scheme of the invention, the equipment data acquisition submodule comprises equipment purchase data acquisition, mainly comprises equipment model and purchase time, equipment maintenance data acquisition, equipment scrapping data acquisition for equipment damage and maintenance conditions reported by subordinate and first-line workers, and equipment scrapping model, service time and scrapping reasons of scrapped equipment are collected.
As a preferable scheme of the invention, the data classification module is used for classifying the data reported by the staff according to the types, and respectively inputting the data to the staff module and the equipment module for further refinement, wherein the data collected by the data collection module is from the data reported by the staff and the instrument collected by the instrument on the engineering site, and the instrument on the engineering site mainly comprises a camera, a punching machine and the like.
The data analysis system comprises an identification system, a personnel analysis module, a device analysis module, an engineering analysis module and a cost analysis module, wherein the identification system is used for identifying the type of data transmitted by the centralized data storage system through a data channel, and the engineering analysis module mainly comprises engineering progress analysis and engineering quality analysis.
As a preferred scheme of the invention, the personnel analysis module mainly comprises a personnel work content analysis module and a personnel flow analysis module, wherein the personnel work content analysis module is used for analyzing the work content of the personnel during the engineering period, and the personnel flow analysis module is used for analyzing the type of the personnel working and further evaluating the personnel.
As a preferred embodiment of the present invention, the device analysis module mainly includes a device lifetime analysis module, a device loss analysis module, wherein the device lifetime analysis module is used for deducing the actual lifetime that the device can use through the maintenance record of the device, and the device loss analysis module is used for deducing the time that the device can use through the maintenance record of the device.
Compared with the prior art, the invention provides a multi-factor analysis platform based on a data base, which has the following beneficial effects:
through setting up the data base, according to the evaluation of data base to personnel and equipment, recruit the talent in corresponding field in new engineering earlier stage to and purchase corresponding equipment, equally according to the use experience of old engineering, purchase the equipment that quality is good, and be fit for new engineering, it is more convenient, avoid few troubles, the data of an engineering is comparatively heavy simultaneously, can comparatively audio-visual each item data of looking for suitable oneself through the data base, it is more efficient.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a schematic flow chart of a centralized data acquisition system;
FIG. 3 is a flow chart of a data analysis system.
Detailed Description
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 multi-factor analysis platform based on the data base comprises a centralized data storage system, a query system and a data analysis system, wherein a data channel is established between the query system and the data analysis system, and a data transmission channel is established between the data analysis system and the centralized data storage system; the centralized data storage system comprises a data acquisition module and a data classification module.
From the beginning of the project to the end of the project, all data related to the project are recorded, the data classification module classifies the data and then stores the data in the centralized data storage system, the whole project is analyzed by the data analysis system in combination with the collected data, when the same similar project is encountered, the similar project data before the query system is queried, reasonable advice is provided by combining the data and the evaluation of the old project by the data analysis system, so that the feasibility of a new project is inferred, and the method is more practical and simple to use.
The data acquisition module comprises a personnel data acquisition sub-module and a device data acquisition sub-module, wherein the personnel data acquisition sub-module is used for acquiring information of all staff, and comprises staff identity information acquisition, staff daily attendance information acquisition and staff personal financial information acquisition, wherein personal information collection is independently formed for all engineering staff participating in the same kind of engineering of a company, the staff personal financial information acquisition mainly acquires personal financial expenditure conditions during the beginning of the engineering, the device data acquisition sub-module comprises device purchase data acquisition and mainly reflects the model and purchase time of equipment, device maintenance data acquisition is performed, and equipment scrapping data acquisition and scrapping data collection and scrapping reason collection are performed on equipment damage and maintenance conditions reported by lower-level and first-line workers.
The collection of personnel data only collects data in a certain engineering period, personnel expenditure conditions are obtained according to the data of all personnel from beginning to end, the working conditions of the personnel in the engineering period are more comprehensive, meanwhile, equipment conditions also need to be recorded, and the use condition of equipment in the engineering period is recorded.
The data classification module is used for classifying the data reported by the staff according to the types, and inputting the data to the staff module and the equipment module respectively for further refinement, wherein the data collected by the data collection module are from the data reported by the staff and the instruments collected by the instruments on the engineering site, and the instruments on the engineering site mainly comprise a camera, a card punching machine and the like.
The data analysis system comprises an identification system, a personnel analysis module, a device analysis module, an engineering analysis module and a cost analysis module, wherein the identification system is used for identifying the type of data transmitted by the centralized data storage system through a data channel, and the engineering analysis module mainly comprises engineering progress analysis and engineering quality analysis. The personnel analysis module mainly comprises a personnel working content analysis module and a personnel flow analysis module, wherein the personnel working content analysis module is used for analyzing the working content of the personnel during the engineering period, and the personnel flow analysis module is used for analyzing the type of the personnel working and further evaluating the personnel. The equipment analysis module mainly comprises an equipment service life analysis module and an equipment loss analysis module, wherein the equipment service life analysis module is used for deducing the practical service life of equipment through the maintenance record of the equipment, and the equipment loss analysis module is used for deducing the time of the equipment through the maintenance record of the equipment and the damage reason.
According to the evaluation of the data base on personnel and equipment, people in the corresponding field are recruited and corresponding equipment is purchased in the early stage of new engineering, the purchasing quality is good, the equipment suitable for the new engineering is more convenient, the trouble is avoided, meanwhile, the data of one engineering are heavier, various data suitable for the user can be intuitively found through the data base, and the system is more efficient.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. The utility model provides a many factor analysis platform based on data base, includes concentrated data storage system, inquiry system and data analysis system, its characterized in that: a data channel is established between the query system and the data analysis system, and a data transmission channel is established between the data analysis system and the centralized data storage system; the centralized data storage system comprises a data acquisition module and a data classification module.
2. A multi-factor analysis platform based on a data base according to claim 1, wherein: the data acquisition module comprises a personnel data acquisition sub-module and a device data acquisition sub-module, wherein the personnel data acquisition sub-module is used for acquiring information of all staff, including staff identity information acquisition, staff daily attendance information acquisition and staff personal financial information acquisition, and personal information collection is formed for all engineering staff participating in the same kind of engineering of a company independently, and staff personal financial information acquisition mainly acquires personal financial expenditure conditions during the beginning of the engineering.
3. A multi-factor analysis platform based on a data base according to claim 1, wherein: the equipment data acquisition submodule comprises equipment purchase data acquisition, mainly comprises equipment model and purchase time, equipment maintenance data acquisition, equipment scrapping data acquisition and equipment scrapping data acquisition, and model, service time and scrapping reasons of scrapped equipment are collected for equipment damage and maintenance conditions reported by subordinate and first-line workers.
4. A multi-factor analysis platform based on a data base according to claim 1, wherein: the data classification module is used for classifying the data reported by the staff according to the types, and inputting the data to the staff module and the equipment module respectively for further refinement, wherein the data collected by the data collection module are from the data reported by the staff and the instruments collected by the instruments on the engineering site, and the instruments on the engineering site mainly comprise a camera, a card punching machine and the like.
5. A multi-factor analysis platform based on a data base according to claim 1, wherein: the data analysis system comprises an identification system, a personnel analysis module, a device analysis module, an engineering analysis module and a cost analysis module, wherein the identification system is used for identifying the data types transmitted by the centralized data storage system through a data channel, and the engineering analysis module mainly comprises engineering progress analysis and engineering quality analysis.
6. A multi-factor analysis platform based on a data base according to claim 1, wherein: the personnel analysis module mainly comprises a personnel working content analysis module and a personnel flow analysis module, wherein the personnel working content analysis module is used for analyzing the working content of the personnel during the engineering period, and the personnel flow analysis module is used for analyzing the type of the personnel working and further evaluating the personnel.
7. The data base-based multi-factor analysis platform of claim 6, wherein: the equipment analysis module mainly comprises an equipment service life analysis module and an equipment loss analysis module, wherein the equipment service life analysis module is used for deducing the practical service life of equipment through the maintenance record of the equipment, and the equipment loss analysis module is used for deducing the time of equipment which can be used through the maintenance record of the equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310075276.5A CN116029679A (en) | 2023-02-07 | 2023-02-07 | Multi-factor analysis platform based on data base |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310075276.5A CN116029679A (en) | 2023-02-07 | 2023-02-07 | Multi-factor analysis platform based on data base |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116029679A true CN116029679A (en) | 2023-04-28 |
Family
ID=86091045
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310075276.5A Pending CN116029679A (en) | 2023-02-07 | 2023-02-07 | Multi-factor analysis platform based on data base |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116029679A (en) |
-
2023
- 2023-02-07 CN CN202310075276.5A patent/CN116029679A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105574593B (en) | Track state static detection and control system and method based on cloud computing and big data | |
| CN103440554A (en) | Motor producing quality monitoring and managing system and corresponding method | |
| CN103810573A (en) | Real-time production scheduling management system and method based on mobile terminals | |
| CN115879664A (en) | Intelligent operation and maintenance system and method based on industrial Internet | |
| CN112446608A (en) | OEE and Andon safety lamp management system and working method thereof | |
| CN107369001A (en) | A kind of large-scale power Enterprise Performance provides monitor and analysis system | |
| CN116307664A (en) | Intelligent manufacturing flow management system based on big data | |
| CN115564257A (en) | Digital production process scheduling management system | |
| CN116165980A (en) | Manufacturing factory management system based on digital twin platform | |
| CN112598142B (en) | Wind turbine maintenance working quality inspection auxiliary method and system | |
| CN117829456A (en) | Multi-person annotation cross auditing distribution system and method | |
| CN116029679A (en) | Multi-factor analysis platform based on data base | |
| CN117273456A (en) | Project cost intelligent management system based on big data technology | |
| CN109360291B (en) | Construction machinery equipment inspection service system | |
| CN111047290A (en) | Historical data-based inspection task execution and route optimization method | |
| CN110738427A (en) | electric power part work quality scoring system | |
| CN115760024A (en) | Intelligent building management and control platform based on BIM | |
| CN100517225C (en) | Method for automatically digging high-performance task in software course task warehouse and system thereof | |
| CN110322218A (en) | Intelligent society insurance business operation and monitoring method and system | |
| CN115099579A (en) | Marketing cue value evaluation method based on migrated federal learning | |
| CN113888018A (en) | Steelmaking process production big data system | |
| CN113469382A (en) | Production equipment debugging management system based on Internet of things | |
| CN110866690A (en) | Application of BIM model data in intelligent construction site | |
| CN111126951A (en) | Enterprise cadre talent decision-making method based on digitization | |
| Wang et al. | Construction of Intelligent Manufacturing Digital Workshop Ability Assessment Model for CPS |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |