CN110928909A - Enterprise science and technology evaluation service system based on big data analysis - Google Patents
Enterprise science and technology evaluation service system based on big data analysis Download PDFInfo
- Publication number
- CN110928909A CN110928909A CN201911173961.1A CN201911173961A CN110928909A CN 110928909 A CN110928909 A CN 110928909A CN 201911173961 A CN201911173961 A CN 201911173961A CN 110928909 A CN110928909 A CN 110928909A
- Authority
- CN
- China
- Prior art keywords
- module
- data
- technology
- enterprise
- science
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- General Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses an enterprise science and technology evaluation service system based on big data analysis, which belongs to the field of enterprise evaluation service systems. The invention can quickly compare the difference between the prior scientific and technical data and the enterprise science and technology, extracts technical characteristics of the enterprise science and technology relative to the prior technology, replaces the step of manually searching and comparing data, has higher efficiency and quicker comparison precision, saves a large amount of time, can quickly score according to the extracted technical and technical characteristics of the enterprise, calculates the score considered by an evaluator, calculates the average value as the final score, ensures that the evaluation result is more accurate, is convenient for the enterprise to know the advantages of the own science and technology according to the evaluation report, is relative to the defects of the prior science and technology, is convenient for the enterprise to change the score, and is favorable for the survival and the development of the enterprise.
Description
Technical Field
The invention relates to the field of enterprise evaluation service systems, in particular to an enterprise science and technology evaluation service system based on big data analysis.
Background
The society is used to connect science and technology together, which is called science and technology for short, the science and technology are closely related and have important difference, the theory problem is scientifically solved, and the actual problem is technically solved. The problem to be solved scientifically is to find the relationship between the true fact and the phenomenon in nature and establish a theory to link the fact and the phenomenon; the technical task is to apply scientific achievements to practical problems, science mainly deals with unknown fields, and the progress, especially major breakthrough, is unpredictable; the technology works in a relatively mature field and can be used for relatively accurate planning.
The science and technology that every enterprise possesses all have the difference of certain degree, and this science and technology that leads to even the enterprise of the same kind also can be different, generally all seeks the contrast by the manual work, but seeks the scope limited, and efficiency is too slow, leads to in the enterprise to self science and technology with present other science and technology's difference cognition not accurate enough, can't accurate find self for the advantage and the shortcoming of other science and technology and evaluate, so proposed enterprise science and technology evaluation service system based on big data analysis and solved above-mentioned problem.
Disclosure of Invention
1. Technical problem to be solved
Aiming at the problems in the prior art, the invention aims to provide an enterprise science and technology evaluation service system based on big data analysis, which has the advantage of rapid evaluation, solves the problems that the difference cognition of the self science and technology and the existing other science and technology is not accurate enough and the advantages and the disadvantages of the self science and technology relative to the other science and technology cannot be accurately found and evaluated due to limited search range and slow efficiency of manual search comparison.
2. Technical scheme
In order to solve the above problems, the present invention adopts the following technical solutions.
The enterprise science and technology evaluation service system based on big data analysis comprises a data input module, a big data analysis platform, a database, a data grading module and an evaluation report module;
the data input module is used for inputting scientific and technological data of an enterprise;
the database is used for storing published similar scientific and technological data;
the big data analysis platform comprises a data comparison module, a technical feature extraction module and a data analysis module, wherein the data comparison module is connected with a data input module and a database through a network, the data comparison module is used for receiving the data of the enterprise science and technology transmitted by the data input module and comparing and distinguishing the data with the data of the same kind of science and technology in the database, the technical feature extraction module is connected with the data comparison module through the network, the technical feature extraction module is used for extracting the data of the enterprise science and technology and the published data of the difference of the data of the same kind of science and technology to form the technical features of the enterprise science and technology, the data analysis module is connected with the technical feature extraction module through the network, and the data analysis module is used for analyzing the extracted technical features of the enterprise science and technology;
the data scoring module is connected with the data analysis module through a network and is used for evaluating and estimating the analysis result of the data analysis module;
the evaluation report module is connected with the data scoring module through a network, and is used for sorting technical characteristics, evaluation and scoring of enterprise science and technology and then outputting an evaluation report.
Preferably, the database is connected to a network data module through a network, and the network data module is used for updating published similar scientific and technological data stored in the database.
Preferably, the technical feature extraction module is connected with a display module through a network, and the display module is used for receiving and displaying the data result of the technical feature extraction module, and performing additional evaluation and score estimation through personnel.
Preferably, the display module is connected with the evaluation report module through a network, and the evaluation report module is used for sorting the scores transmitted by the display module and the data scoring module.
Preferably, the data scoring module and the scoring personnel evaluate scores X and Y between 1 and 100 through the same scoring standard through the display module.
Preferably, the evaluation report module calculates a technical feature score Z of the enterprise science and technology according to the scoring result X of the data scoring module and the scoring result Y of the display module, and the calculation formula is as follows:
Z=(X+Y)/2。
preferably, the display module is a liquid crystal touch screen.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
(1) this scheme, difference between contrast prior art technical data that can be quick and the enterprise science and technology to extracting technical characteristics to the enterprise science and technology now to current technique, replacing the manual work to seek the step of data contrast, efficiency is higher, and the contrast precision is faster, saves a large amount of time.
(2) This scheme can carry out quick grade according to the enterprise science and technology characteristics who extracts to combine the appraisal personnel to think the grade of making and calculate, calculate the average value as final score, make the assessment result more accurate, make things convenient for the enterprise to know the advantage of self science and technology according to the assessment report, with relative and current science and technology not enough, make things convenient for the enterprise to make changes to this, be favorable to the existence and the development of enterprise.
Drawings
Fig. 1 is a working principle diagram of the present invention.
The reference numbers in the figures illustrate:
1. a data input module; 2. a big data analysis platform; 21. a data comparison module; 22. a technical feature extraction module; 23. a data analysis module; 3. a database; 4. an evaluation reporting module; 5. a data scoring module; 6. a network data module; 7. and a display module.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention; it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by those skilled in the art without any inventive work are within the scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are to be construed broadly, e.g., "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1, the enterprise science and technology evaluation service system based on big data analysis includes a data input module 1, a big data analysis platform 2, a database 3, a data scoring module 5 and an evaluation report module 4;
the data input module 1 is used for inputting scientific and technological data of an enterprise, so that a user can conveniently input scientific and technological data of the enterprise, and the use of the user is facilitated;
the database 3 is used for storing published similar science and technology data, and the published existing similar science and technology is stored as comparison reference data, so that the comparison result is more accurate;
the big data analysis platform 2 comprises a data comparison module 21, a technical feature extraction module 22 and a data analysis module 23, the data comparison module 21 is connected with the data input module 1 and the database 3 through a network, the data comparison module 21 is used for receiving the scientific and technological data of the enterprise transmitted by the data input module 1 and comparing and distinguishing the scientific and technological data of the same type in the database 3, the technical feature extraction module 22 is connected with the data comparison module 21 through a network, the technical feature extraction module 22 is used for extracting the scientific and technological data of the enterprise and the published scientific and technological data of the same type to form the technical features of the enterprise, the data analysis module 23 is connected with the technical feature extraction module 22 through a network, the data analysis module 23 is used for analyzing the technical features of the extracted enterprise science and technology, and the differences between the prior scientific and technological data and the enterprise science and technology can be compared rapidly, technical characteristics of the enterprise science and technology are extracted from the existing technology, the step of searching and comparing data is replaced by manpower, efficiency is higher, comparison accuracy is higher, and a large amount of time is saved;
the data scoring module 5 is connected with the data analysis module 23 through a network, and the data scoring module 5 is used for evaluating and estimating the analysis result of the data analysis module 23;
the assessment report module 4 is connected with the data scoring module 5 through a network, the assessment report module 4 is used for sorting technical characteristics, evaluation and scoring of enterprise science and technology, then outputting an assessment report, and finally scoring can be performed on advantages and disadvantages of the enterprise science and technology, so that a user can check the assessment report conveniently.
Further, the database 3 is connected to a network data module 6 through a network, and the network data module 6 is used for updating published similar scientific and technological data stored in the database 3, so that the data in the database can not fall behind.
Further, technical feature extraction module 22 internet access has display module 7, and display module 7 is used for receiving technical feature extraction module 22's data result and shows, carries out extra evaluation through the personnel and assesses the mark, looks over the technical feature of enterprise's science and technology then operates the mark through display module 7 convenience of customers.
Furthermore, the display module 7 is connected with the evaluation report module 4 through a network, and the evaluation report module 4 is used for sorting the scores transmitted by the display module 7 and the data scoring module 5, so that the user can conveniently check the scores.
Furthermore, the data scoring module 5 and the scoring personnel can evaluate scores X and Y between 1 and 100 through the same scoring standard through the display module 7, and the same scoring standard is utilized to ensure that the scoring difference between the two is not too large.
Further, the evaluation report module 4 calculates the technical feature score Z of the enterprise science and technology according to the scoring result X of the data scoring module 5 and the scoring result Y of the display module 7, and the calculation formula is as follows:
and Z is (X + Y)/2, and the average value is calculated, so that the evaluation accuracy is improved.
Furthermore, the display module 7 is a liquid crystal touch screen, a user can conveniently perform scoring operation through the liquid crystal touch screen, and the model number of the display module 7 is SS-5500 CXJ.
The working principle is as follows: the technical data of the enterprise is input through the data input module 1, the inputted technical data of the enterprise is compared with published technical data of the same type stored in the database 3 through the data comparison module 21, the difference is highlighted, the difference between the inputted technical data of the enterprise and the published technical data of the same type is extracted through the technical feature extraction module 22, the technical features of the enterprise are displayed, the data are analyzed through the data analysis module 23, the data scoring module 5 evaluates and scores the analysis result of the data analysis module 23, meanwhile, an evaluator can also evaluate the scores through the display module 7, finally, the scores transmitted by the display module 7 and the data scoring module 5 are sorted through the evaluation report module 4, the average value is calculated according to the Z being (X + Y)/2, the evaluation accuracy is improved, the viewing of a user is convenient, and the difference between the technical data of the existing enterprise and the enterprise can be rapidly compared through the scheme, and to enterprise's science and technology now to current technical extraction technical characteristics, replace the manual work to seek the step of data contrast, efficiency is higher, the contrast precision is faster, save a large amount of time, can carry out quick score according to the enterprise's science and technology characteristics who draws, and combine the evaluation personnel to think the score of making and calculate, calculate the average value and regard as final score, make the assessment result more accurate, make things convenient for the enterprise to know the advantage of self science and technology according to the assessment report, and relative and current scientific and technology not enough, make things convenient for the enterprise to make changes to this, be favorable to the existence and the development of enterprise.
The foregoing is only a preferred embodiment of the present invention; the scope of the invention is not limited thereto. Any person skilled in the art should be able to cover the technical scope of the present invention by equivalent or modified solutions and modifications within the technical scope of the present invention.
Claims (7)
1. Enterprise science and technology evaluation service system based on big data analysis is characterized in that: the system comprises a data input module (1), a big data analysis platform (2), a database (3), a data scoring module (5) and an evaluation report module (4);
the data input module (1) is used for inputting data of enterprise science and technology;
the database (3) is used for storing published similar scientific and technical data;
the big data analysis platform (2) comprises a data comparison module (21), a technical feature extraction module (22) and a data analysis module (23), the data comparison module (21) is connected with the data input module (1) and the database (3) through a network, the data comparison module (21) is used for receiving the data of the enterprise science and technology transmitted by the data input module (1) and comparing and distinguishing the data with the data of the same kind of science and technology in the database (3), the technical characteristic extraction module (22) is connected with the data comparison module (21) through a network, the technical characteristic extraction module (22) is used for extracting the difference data between the enterprise scientific and technological data and the published same scientific and technological data to form the technical characteristics of the enterprise science and technology, the data analysis module (23) is connected with the technical characteristic extraction module (22) through a network, the data analysis module (23) is used for analyzing the technical characteristics of the extracted enterprise science and technology;
the data scoring module (5) is connected with the data analysis module (23) through a network, and the data scoring module (5) is used for evaluating and estimating the analysis result of the data analysis module (23);
the assessment report module (4) is connected with the data scoring module (5) through a network, and the assessment report module (4) is used for sorting the technical characteristics, evaluation and scoring of the enterprise science and technology and then outputting an assessment report.
2. The enterprise science and technology evaluation service system based on big data analysis of claim 1, wherein: the database (3) is connected with a network data module (6) through a network, and the network data module (6) is used for updating published similar scientific and technical data stored in the database (3).
3. The enterprise science and technology evaluation service system based on big data analysis of claim 1, wherein: the technical feature extraction module (22) is connected with a display module (7) through a network, and the display module (7) is used for receiving and displaying data results of the technical feature extraction module (22) and carrying out additional evaluation and score estimation through personnel.
4. The enterprise science and technology evaluation service system based on big data analysis as claimed in claim 3, wherein: the display module (7) is connected with the evaluation report module (4) through a network, and the evaluation report module (4) is used for sorting the scores transmitted by the display module (7) and the data scoring module (5).
5. The enterprise science and technology evaluation service system based on big data analysis as claimed in claim 3, wherein: the data scoring module (5) and the scoring personnel evaluate scores X and Y between 1 and 100 through the same scoring standard through the display module (7).
6. The enterprise science and technology evaluation service system based on big data analysis as claimed in claim 3, wherein: the evaluation report module (4) calculates a technical feature score Z of the enterprise science and technology according to a scoring result X of the data scoring module (5) and a scoring result Y of the display module (7), and the calculation formula is as follows:
Z=(X+Y)/2。
7. the enterprise science and technology evaluation service system based on big data analysis as claimed in claim 3, wherein: the display module (7) is a liquid crystal touch screen.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911173961.1A CN110928909A (en) | 2019-11-26 | 2019-11-26 | Enterprise science and technology evaluation service system based on big data analysis |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201911173961.1A CN110928909A (en) | 2019-11-26 | 2019-11-26 | Enterprise science and technology evaluation service system based on big data analysis |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110928909A true CN110928909A (en) | 2020-03-27 |
Family
ID=69852063
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201911173961.1A Pending CN110928909A (en) | 2019-11-26 | 2019-11-26 | Enterprise science and technology evaluation service system based on big data analysis |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110928909A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111552825A (en) * | 2020-04-15 | 2020-08-18 | 烟台南山学院 | Device for automatically evaluating design quality of plane |
CN111768098A (en) * | 2020-06-28 | 2020-10-13 | 湖北省科技传媒有限责任公司 | Innovation evaluation monitoring system and evaluation method thereof |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20180010679A (en) * | 2016-07-22 | 2018-01-31 | 공주대학교 산학협력단 | System for evaluating technology of company |
CN108399488A (en) * | 2018-01-31 | 2018-08-14 | 合肥和钧正策信息技术有限公司 | Science and technology in enterprise evaluation services system based on big data analysis |
CN108629479A (en) * | 2018-03-22 | 2018-10-09 | 安徽华普生产力促进中心有限公司 | The self-evaluation system of Enterprise Application new high-tech enterprise project |
CN110188161A (en) * | 2019-06-04 | 2019-08-30 | 广德元瑞生产力促进中心有限公司 | A kind of enterprise information technology achievement assessment system based on big data |
CN110209942A (en) * | 2019-06-04 | 2019-09-06 | 广德元瑞生产力促进中心有限公司 | A kind of scientific and technological information intelligently pushing system based on big data |
-
2019
- 2019-11-26 CN CN201911173961.1A patent/CN110928909A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20180010679A (en) * | 2016-07-22 | 2018-01-31 | 공주대학교 산학협력단 | System for evaluating technology of company |
CN108399488A (en) * | 2018-01-31 | 2018-08-14 | 合肥和钧正策信息技术有限公司 | Science and technology in enterprise evaluation services system based on big data analysis |
CN108629479A (en) * | 2018-03-22 | 2018-10-09 | 安徽华普生产力促进中心有限公司 | The self-evaluation system of Enterprise Application new high-tech enterprise project |
CN110188161A (en) * | 2019-06-04 | 2019-08-30 | 广德元瑞生产力促进中心有限公司 | A kind of enterprise information technology achievement assessment system based on big data |
CN110209942A (en) * | 2019-06-04 | 2019-09-06 | 广德元瑞生产力促进中心有限公司 | A kind of scientific and technological information intelligently pushing system based on big data |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111552825A (en) * | 2020-04-15 | 2020-08-18 | 烟台南山学院 | Device for automatically evaluating design quality of plane |
CN111768098A (en) * | 2020-06-28 | 2020-10-13 | 湖北省科技传媒有限责任公司 | Innovation evaluation monitoring system and evaluation method thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Westgard et al. | Analytical Sigma metrics: A review of Six Sigma implementation tools for medical laboratories | |
Agarwal et al. | Home sperm testing device versus laboratory sperm quality analyzer: comparison of motile sperm concentration | |
CN106201871B (en) | Based on the Software Defects Predict Methods that cost-sensitive is semi-supervised | |
CN110928909A (en) | Enterprise science and technology evaluation service system based on big data analysis | |
CN107731286A (en) | Information processor and method for control inspection room | |
CN109360089A (en) | Credit risk prediction technique and device | |
CN110210719A (en) | A kind of power equipment static data method for evaluating quality and system | |
CN103902798B (en) | Data preprocessing method | |
JP2012233799A (en) | Specimen analysis device and data processing device | |
CN105447633A (en) | Scientific research institution integration evaluation method and system thereof | |
CN112540919B (en) | Test equipment determining method and device | |
CN113496348A (en) | Cultivated land quality management system and method | |
CN106651167A (en) | Biological information engineer skill rating system | |
CN111161111A (en) | Dynamic analysis data processing system and method for examination marking monitoring | |
CN111210132A (en) | Human-job matching evaluation method based on big data analysis | |
CN111428957A (en) | PPP project performance index system architecture setting method and big data information recording device | |
KR101757677B1 (en) | System for managing for food waste using geographic information system, method thereof and computer recordable medium storing the method | |
CN105987753A (en) | Spectrum expert system based on cloud calculating and usage method thereof | |
CN115274113A (en) | Evaluation system based on psychological assessment scale scoring algorithm | |
JP4966843B2 (en) | Cell examination education support system, central device, terminal device, and computer program | |
US20110179022A1 (en) | Method of analyzing claims of a patent document and patent analysis system thereof | |
CN109960640A (en) | Software Quality Evaluation System and method | |
CN108982390B (en) | Water body pesticide residue detection method based on atomic absorption spectrum information | |
Ismail et al. | The relationship between cost estimates reliability and BIM adoption: SEM analysis | |
CN111810135A (en) | Oil well working condition management method and device based on geographic position |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200327 |
|
RJ01 | Rejection of invention patent application after publication |