CN103391317A - Evaluation method and device for system technology maturity - Google Patents
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Abstract
The invention relates to an evaluation method and device for the system technology maturity. The method comprises the steps that 1) administrators set and store following contents, including system technology maturity evaluation levels and level details and system work breakdown structures and key technology items, in a database in advance; 2) experts evaluate the system technology maturity of the system key technology items and store the system technology maturity in the database; 3) evaluation data of all experts are processed comprehensively based on weighting and short plate threshold algorithms to obtain evaluation results of the system technology maturity. According to the evaluation method and device, the method that only one copy of the technology maturity evaluation level detail data is stored is used, the technological problem of repeated storage of a great number of data is solved through a multi-dimensional extension data storage and processing method, and evaluation of a plurality of technology items of significant complex systems by a plurality of experts and automatic data statistic analysis are achieved. The evaluation method and device have the advantages that the data storage and processing efficiency is improved, evaluation and organization work is convenient and flexible, evaluation costs are reduced, and the like.
Description
Technical field
The present invention relates to a kind of systems technology maturity appraisal procedure and device.
Background technology
American National audit bureau once pointed out, the technology maturity in project initiation period is the measurer of purchasing project risk, is also the fallout predictor of project success, must assess before requiring Ministry of National Defence to purchase.The assessment of systems technology maturity levels is comprised of many technology item as the case may be, and the assessment of each technology item relates to nine ranks, and each level else has ten several to dozens of concrete detailed ranks.
The computational tool that the assessment of technology maturity rank (TRL) is used has the Air Force Research Laboratory (Air Force Research Laboratory, AFRL) William Nolte has developed first TRL computational tool (Technology Readiness Level Calculator) in 2003, nine ranks have 274 detailed level evaluation entries, determine by answering detailed entry whether the necessary document information of the every one-level TRL of evaluation is complete, thereby determine whether technology has reached a certain specific TRL rank.2007, William Nolte is improved original TRL computational tool, develops TRL computational tool 2.2 versions (TRL Calculator Version2.2), and it is divided into hardware or software with technology to be assessed, or a complex art, the intuitive of assessment result is stronger.
In February, 2009, it is Technology Assessment Calculator Ver1.2 beta that J.W.Bilbro develops technology evaluation computational tool 1.2 versions, it is with the ready level of technology (TRL) and technological improvement difficulty (Advancement Degree of Difficulty, AD2) calculate and be integrated in a computational tool, namely the maturity of current techniques can be determined, cost, progress and risk problem that technology will realize specific maturity and faces can be determined again.
In November, 2009, the people such as David McGarvey of science and technology council of U.S. Department of Homeland Security have developed the ready level calculation instrument of technology Technology Readiness Level Calculator Ver1.1 on the TRL of AFRL computational tool 2.2 version bases.
These three computational tools all are based on the Excel of Office, for single expert, single technology item rank are estimated, and calculated performance is effective and outstanding.but computational tool Excel file (TRL Calculator Version 2.2, account for memory space 580KB) can only store the evaluating data of an expert to a technology item, and the actual assessment process is by the multi-expert of concentrating various places, a plurality of key technology items of system to be estimated, so a kind of way is to print evaluation result after technology item of expert assessment and evaluation, this can produce a large amount of paper materials, these paper materials are all identical detailed of the ranks that has except the evaluating data value, another kind of way is that each expert copies a plurality of Excel computational tool files and carries out a plurality of TRL and estimate, this method produces a large amount of electronic data that repeat.
Adopt these three kinds of computational tools all to have the papery data of a large amount of rank details of repeated storage or the serious problems of computer electronic bits of data.with reference to Fig. 1, for the Computer Storage data, the evaluation score value required storage of a detailed assessment grade of storage generally only accounts for the 3-10% of whole piece record, so must store a large amount of repetition data: a system is comprised of i technology item, each technology item is comprised of j detailed rank, k expert (expert 1 is to expert k) estimates, there is i*j*k part rank detailed, example: i=5, j=274, k=5, i*j*k=6850, take 580KB with each Excel file, need to store the memory space of 3879MB or 3.8GB, and data are disperseed, management difficulty is large, inefficiency.
And concentrate before assessment that the expert is not easy, expert's travel and time expends greatly, a project system assessment needs two to three assessments, each survey fee uses twenty or thirty more than ten thousand yuan, the overall evaluation expense reaches 1,000,000 yuan of orders of magnitude; Data processing work amount after expert opinion is huge, and inefficiency, consult many inconveniences such as statistical analysis, and these data are difficult to assess and make reference or contrast as other system.
Summary of the invention
Main purpose of the present invention is to overcome above-mentioned shortcoming of the prior art, proposes a kind of minimizing memory data output, improves data-handling efficiency, and fast and easy is organized evaluation work, reduced systems technology appraisal procedure and the device of assessment total cost.
The present invention adopts following technical scheme:
A kind of systems technology maturity appraisal procedure, it is characterized in that: step is as follows, 1) keeper arranges and stores following content in advance in database: systems technology maturity assessment rank and rank detailed and system works decomposition texture and key technology item; 2) expert carries out the technology maturity evaluation and is stored to database the key technology item of system; 3) based on the algorithm of weighted sum short slab threshold values, all experts' evaluating data is carried out integrated treatment and obtain the assessment result of this systems technology maturity.
Further, before step 1), the keeper arranges role-security in database.
Further, in step 1), the keeper arranges the weight of each rank detail of systems technology maturity assessment in database, and each other threshold value of level of systems technology maturity assessment is set.
Further, in step 2) before, the keeper arranges expert's weight and expert's authority in database.
Further, in step 2) in, the expert can estimate inquiry, revises and preserve evaluating data.
Further, also comprise: step 4) keeper can check and export assessment result in database, this system of locking after completing assessment.
Further, described database is the database of Multi-Dimensional Extension data system framework, specifically comprises: the database of technology maturity rank detail list, system works decomposition texture and key technology item, multi-expert object information storehouse and the systems management data storehouse to multidimensional data, system automatic analysis and the processing of a plurality of technology item maturity assessment of system.
Further, in step 1), described system works decomposition texture and key technology item are that systems technology is decomposed into the many levels structure, and each level consists of a plurality of sub-projects, are the key technology item with a plurality of important sub-project Node configurations finally.
Further, in step 3), based on weighting algorithm and short slab threshold values algorithm, all experts' evaluating data being carried out the appraisal procedure that integrated treatment obtains this systems technology maturity comprises: each rank mark of first by weighting algorithm, obtaining sub-project, again each rank mark is obtained respectively the technology maturity rank of this sub-project with each default rank threshold comparison, obtain the rank of each node and the assessment result of systems technology maturity according to the short slab algorithm finally.
Further, described weighting algorithm is specially: for certain sub-project, first by expert to the detailed scoring of each rank, be weighted calculating with the weight of each default rank detail, obtain this expert each rank scoring to this sub-project; The weight of pressing default expert again, each rank appraisal result weighted calculation of each expert, obtains each rank mark of this sub-project.
Further, described weighting algorithm is specially: for certain sub-project, first the weight by default expert is weighted calculating with all experts to detailed grade other scoring, obtains the scoring of this detail; Weight by each default rank detail is weighted calculating again, obtains each rank mark of this sub-project.
Further, described short slab threshold values algorithm is specially: with each rank mark of sub-project respectively with default threshold comparison at different levels, if the rank mark, more than or equal to this threshold value, reaches this rank, the maximum level that reaches is the technology maturity rank of this sub-project; Use the class value of minimum of all subordinate's sub-projects of each node layer as the rank of this node again, upwards gather successively the rank of each node, finally obtain the systems technology maturity levels.
A kind of systems technology maturity apparatus for evaluating is characterized in that: comprise Web server, internet communications network and Web client, described Web client is connected communication with Web server by internet communications network; Described Web server is used for the operation of control system technology maturity assessment, it comprises: the database of Multi-Dimensional Extension data system framework and control and automatic analysis module, the database of described Multi-Dimensional Extension data system framework is used for the required data of memory system technologies maturity assessment, and described control and automatic analysis module are used for the operation of control system technology maturity assessment and the related data of assessment is carried out automatic analysis and processing.
Further, described control and automatic analysis module comprise:
System works decomposition texture and Analysis on Key Technologies unit, be used for setting up work breakdown structure (WBS) and analysis and corresponding key technology item being set;
The Multi-Dimensional Extension data processing unit, be used for realizing that a plurality of experts estimate and the Multi-Dimensional Extension data of evaluation result are processed a plurality of technology items of systems technology;
Based on data analysis and the processing unit that weighted sum short slab threshold value is controlled, be used for the Multi-Dimensional Extension evaluating data is carried out automatic analysis and processing, obtain systems technology maturity assessment result;
System Management Unit, be used for Role-rights setting and arrange in distribution, user and expert, and technology maturity assessment grade and rank detail are set.
Further, the database of described Multi-Dimensional Extension data system framework comprises: the database of technology maturity rank detail list, system works decomposition texture and key technology item, multi-expert object information storehouse and the systems management data storehouse to multidimensional data, system automatic analysis and the processing of a plurality of technology item maturity assessment of system.
Further, described Web client is the computer that Web browser is installed, and is used for for expert or keeper.
Further, described system works decomposition texture and key technology unit are that systems technology is decomposed into the many levels structure, and each level consists of a plurality of sub-projects, are the key technology item with a plurality of important sub-project Node configurations finally; Described data analysis based on weighted sum short slab threshold spread and processing unit first calculate each rank mark of sub-project by weighting algorithm, again each rank mark is obtained respectively the technology maturity rank of this sub-project with each default rank threshold comparison, obtain finally the assessment result of systems technology maturity according to short slab threshold values algorithm.
By the above-mentioned description of this invention as can be known, compared with prior art, the present invention has following beneficial effect:
1, the present invention is in Web server, adopt the method for only storing a technology maturity assessment grade detailed data, solve the technical problem of mass data repeated storage by the method for using Multi-Dimensional Extension data Storage and Processing, realize that multi-expert estimates great many technology of complication system item and automatically carry out data statistic analysis, greatly reducing memory data output, is only the one thousandth of conventional store amount;
2, adopt the automatic analysis controlled based on weighted sum short slab threshold values and processing unit automatically the expert opinion data to be carried out integrated treatment and obtain the assessment result of systems technology maturity, reduce assessment later stage artificial treatment data, overcome existing computational tool and can only carry out the weakness that the ordinary two dimensional data are processed, improved data-handling efficiency;
3, utilize internet communications network, can allow the expert stay indoor and also can estimate, reduce expert's traveling expense and time energy, can reduce the assessment total cost; Interact while having avoided the expert to collect and estimate or produce bandwagon effect, improve the objectivity of estimating;
4, the present invention's mode of also be fit to concentrating the expert to estimate fully, so can convenient, flexible strange land or concentrate and carry out evaluation work; Can consult original evaluating data and evaluation result information by the various conditions of consulting fast, for decision-making provides service, and for identical or similar item, assess reference is provided.
Description of drawings
Fig. 1 is the structural representation of traditional technology maturity evaluating system;
Fig. 2 is the theory diagram of the systems technology maturity assessment of the embodiment of the present invention;
Fig. 3 is the composition frame chart of the database of Multi-Dimensional Extension data system framework of the present invention;
Fig. 4 is the cellular construction block diagram of control of the present invention and automatic analysis module.
Embodiment
Below the invention will be further described by embodiment.
With reference to Fig. 2, a kind of systems technology apparatus for evaluating of the present invention comprises, comprises Web server 200, internet communications network 300 and Web client 400.Web server 200 comprises database 210 and control and the automatic analysis module 220 of Multi-Dimensional Extension data system framework.Internet communications network 300 is wide area networks of the public service that provides for Web.Web client 400, for the computer of Web browser is installed, comprises expert module 410 and administrator module 420 that any expert i uses browser to estimate and consult on the net.Administrator module 420 can arrange and arrange technology maturity assessment grade etc. to Role-rights setting and distribution, user and expert.
Fig. 3 shows the database 210 framework detail drawings of Multi-Dimensional Extension data system framework, comprises that technology maturity rank detail list 211, complicated system works decomposition texture and database 212, the multi-expert of key technology item comprise the evaluating data of expert 1 to expert k to the multidimensional data 213(of a plurality of technology item maturity assessment of system), object information storehouse 214 and the systems management data storehouse 215 of system automatic analysis and processing.
Fig. 4 shows the structure chart of control and automatic analysis module 220.Control and automatic analysis module 220 comprise: the work breakdown structure (WBS) of system and Analysis on Key Technologies unit 224 are used for setting up work breakdown structure (WBS) and analysis and corresponding key technology item being set; Multi-Dimensional Extension data processing unit 223, be used for realizing that a plurality of experts estimate and the Multi-Dimensional Extension data of evaluation result are processed a plurality of technology items of systems technology; Based on data analysis and the processing unit 222 that weighted sum short slab threshold value is controlled, be used for the Multi-Dimensional Extension evaluating data is carried out automatic analysis and processing, obtain systems technology maturity assessment result; System Management Unit 221, be used for Role-rights setting and arrange in distribution, user and expert, and technology maturity assessment grade and rank detail are set.
With reference to Fig. 2, Fig. 3 and Fig. 4, the present invention also proposes a kind of systems technology maturity appraisal procedure, comprises the steps:
1) keeper is connected to and controls and automatic analysis module 220 through internet communications network 300 by the administrator module 420 of Web client, use control system administrative unit 221 that the weight of systems technology maturity assessment rank, rank detail, other threshold value of each grade and each rank detail is set, and be stored in technology maturity rank detail list 211; The keeper is connected to and controls and automatic analysis module 220 through internet communications network 300 by the administrator module 420 of Web client, use work breakdown structure (WBS) and the Analysis on Key Technologies unit 224 of control system carry out job analysis and determine the key technology item, and be stored in the database 212 of system works decomposition texture and key technology item.
2) expert is connected to and controls and automatic analysis module 220 through internet communications network 300 by the expert module 410 of Web client, use multi-expert to carry out the evaluation of many technology item to the Multi-Dimensional Extension data processing unit 223 of many technology of system item evaluation, result store is a plurality of expert opinion data at multi-expert to the multidimensional data 213(of a plurality of technology item maturity assessment of system) in.The expert also can estimate inquiry, revises and preserve evaluating data by the Multi-Dimensional Extension data processing unit 223 to the evaluation of many technology of system item.In addition, before this step, the administrator module 420 of keeper by the Web client arranges expert's weight and expert's authority in internet communications network 300 is connected to the System Management Unit 221 of Web server 200, be stored in systems management data storehouse 215.
3) data analysis based on the control of weighted sum short slab threshold values of systems technology maturity apparatus for evaluating and 222 couples of experts' of processing unit evaluating data carries out the automatic analysis statistics, and the assessment result that obtains is stored in the object information storehouse 214 of system automatic analysis control.
4) evaluation result is checked and exported to the administrator module 420 of keeper by the Web client in internet communications network 300 is connected to the object information storehouse 214 of the system automatic analysis of Web server 200 and processing, and after completing, expert opinion locks this system, after system is locked, the assessment result information of systems technology maturity can only be checked, evaluating data can not be revised.
Further, in step 1), the work breakdown structure (WBS) of system and Analysis on Key Technologies unit 224 are first systems technology to be decomposed into the many levels structure, and each level consists of a plurality of sub-projects, are the key technology item with a plurality of important sub-project Node configurations finally.
In step 3), the data analysis of controlling based on weighted sum short slab threshold values and 222 couples of all experts' of processing unit evaluating data carry out integrated treatment and obtain the assessment result of this systems technology maturity, comprise: each rank mark of first by weighting algorithm, obtaining sub-project, again each rank mark is obtained respectively the technology maturity rank of this sub-project with each rank threshold comparison, obtain the rank of each node and the assessment result of systems technology maturity according to the short slab algorithm finally.Supposing the system technology maturity rank comprises 1-9 rank, based on the data analysis of weighted sum short slab threshold values control and the algorithm of processing unit, divides the system layer of multistage operating decomposition texture and bottom many levels algorithm to form.Specifically comprise following two steps:
One, adopt weighting algorithm to obtain each rank mark of sub-project, comprise following two kinds of executing arithmetics:
(1) to certain sub-project, first detailed scoring obtains 2-D data to each rank by an expert, weight with the rank detail is weighted calculating, must this expert be marked by 9 ranks of this sub-project, again the Weight of the three-dimensional data of 9 rank appraisal result of each expert with the expert calculated, obtain 9 rank marks of this sub-project.Algorithm is as follows:
Wherein: rank is i(i=1,2,3 ...), the expert is j(j=1,2,3 ...); Expert j is zj(i, j, m, p to the i level scoring of p layer m sub-project), the assessment grade of p layer m sub-project i level is TRL(i, m, p).
(2) to certain sub-project, first all experts are weighted calculating to other 2-D data scoring of a detailed level by expert's weight, obtain the scoring of this detail, then by each detailed other weight of level, the triple assessment data are weighted calculating, obtain 9 other marks of level of this sub-project.Algorithm is as follows:
Wherein: rank is i(i=1,2,3 ...), detail is k(k=1,2,3 ...); The detailed scoring of the i level K of p layer m sub-project is mx(i, k, m, p), the assessment grade of p layer m sub-project i level is TRL(i, m, p).
Two, adopt threshold value short slab algorithm to obtain the rank of each node and the assessment result of systems technology maturity
(1) rank of assessment sub-project:
By the above-mentioned one 1-9 level evaluation mark that obtains every sub-project, then judge the rank of this sub-project: according to set rank required fractional value, be threshold values, if certain rank score value meets or exceeds threshold values, this rank just reaches, get be exactly the assessment grade Level (m, p) of this sub-project k to other maximum of level, estimate the level of evaluation of sub-project and determine:
Estimate the class value of the 1-9 level of sub-project
Estimate the rank of sub-project
Wherein, Level (i, m, p) is the assessment grade of p layer m sub-project i level, TRL (i, m, p) is that score value is estimated in the weighting of m project i level of p layer, the threshold values that V (i) requires for rank i, Level (m, p) is the level of evaluation of p layer m sub-project.
(2) assessment result of whole project level:
The rank of whole project: the rank of a certain Analysis on Key Technologies node, adopt the short slab method progressively upwards to obtain the level of evaluation of each node layer by bottom, namely get the class value of the minimum of its all subordinate's sub-projects, upwards gather according to this rank of each node, finally obtain total project level, algorithm is as follows:
The rank of p layer k node
(the rank Level (i, p+1) of each node of one deck under this node);
Obtain finally the assessment result of whole project level:
The rank of whole project
(the rank Level of each node of ground floor (i, 1)).
Above are only a specific embodiment of the present invention, but design concept of the present invention is not limited to this, allly utilizes this design to carry out the change of unsubstantiality to the present invention, all should belong to the behavior of invading protection range of the present invention.
Claims (17)
1. a systems technology maturity appraisal procedure, is characterized in that comprising the steps: 1) keeper arranges and stores following content in advance in database: systems technology maturity assessment rank and rank detailed and system works decomposition texture and key technology item; 2) expert carries out the technology maturity evaluation and is stored to database the key technology item of system; 3) based on weighting algorithm and short slab threshold values algorithm, all experts' evaluating data is carried out integrated treatment and obtain the assessment result of this systems technology maturity.
2. a kind of systems technology maturity appraisal procedure as claimed in claim 1, it is characterized in that: before step 1), the keeper arranges role-security in database.
3. a kind of systems technology maturity appraisal procedure as claimed in claim 1, it is characterized in that: also comprise in described step 1): the keeper arranges the weight of each rank detail of systems technology maturity assessment in database, and each other threshold value of level of systems technology maturity assessment is set.
4. a kind of systems technology maturity appraisal procedure as claimed in claim 1, is characterized in that: in step 2) before, the keeper arranges expert's weight and expert's authority in database.
5. a kind of systems technology maturity appraisal procedure as claimed in claim 1, is characterized in that: in step 2) in, the expert can estimate inquiry, revises and preserve evaluating data.
6. a kind of systems technology maturity appraisal procedure as claimed in claim 1, it is characterized in that: also comprise: step 4) keeper can check and export assessment result in database, this system of locking after completing assessment.
7. a kind of systems technology maturity appraisal procedure as claimed in claim 1, it is characterized in that: described database is the database of Multi-Dimensional Extension data system framework, specifically comprises: the database of technology maturity rank detail list, system works decomposition texture and key technology item, multi-expert object information storehouse and the systems management data storehouse to multidimensional data, system automatic analysis and the processing of a plurality of technology item maturity assessment of system.
8. a kind of systems technology maturity appraisal procedure as claimed in claim 1, it is characterized in that: in step 1), the forming process of described system works decomposition texture and key technology item is: the keeper first is decomposed into systems technology the many levels structure, each level consists of a plurality of sub-projects, is the key technology item with a plurality of important sub-project Node configurations finally.
9. a kind of systems technology maturity appraisal procedure as claimed in claim 8, it is characterized in that: in step 3), based on weighting algorithm and short slab threshold values algorithm, all experts' evaluating data being carried out the appraisal procedure that integrated treatment obtains this systems technology maturity comprises: each rank mark of first by weighting algorithm, obtaining sub-project, again each rank mark is obtained respectively the technology maturity rank of this sub-project with each default rank threshold comparison, obtain the rank of each node and the assessment result of systems technology maturity according to the short slab algorithm finally.
10. a kind of systems technology maturity appraisal procedure as claimed in claim 9, it is characterized in that: described weighting algorithm is specially: for certain sub-project, first by an expert, to each rank is detailed, mark, weight with each default rank detail is weighted calculating, obtains this expert each rank scoring to this sub-project; The weight of pressing default expert again, each rank appraisal result weighted calculation of each expert, obtains each rank mark of this sub-project.
11. a kind of systems technology maturity appraisal procedure as claimed in claim 9, it is characterized in that: described weighting algorithm is specially: for certain sub-project, first the weight by default expert is weighted calculating with all experts to detailed grade other scoring, obtains the scoring of this detail; Weight by each default rank detail is weighted calculating again, obtains each rank mark of this sub-project.
12. a kind of systems technology maturity appraisal procedure as claimed in claim 9, it is characterized in that: described short slab threshold values algorithm is specially: with each rank mark of sub-project respectively with default threshold comparison at different levels, if the rank mark is more than or equal to this threshold value, reach this rank, the maximum level that reaches is the technology maturity rank of this sub-project; Use the class value of minimum of all subordinate's sub-projects of each node layer as the rank of this node again, upwards gather successively the rank of each node, finally obtain the systems technology maturity levels.
13. a systems technology maturity apparatus for evaluating is characterized in that: comprise Web server, internet communications network and Web client, described Web client is connected communication with Web server by internet communications network; Described Web server is used for the operation of control system technology maturity assessment, it comprises: the database of Multi-Dimensional Extension data system framework and control and automatic analysis module, the database of described Multi-Dimensional Extension data system framework is used for the required data of memory system technologies maturity assessment, and described control and automatic analysis module are used for the operation of control system technology maturity assessment and the related data of assessment is carried out automatic analysis and processing.
14. a kind of systems technology maturity apparatus for evaluating as claimed in claim 13, it is characterized in that: described control and automatic analysis module comprise:
System works decomposition texture and Analysis on Key Technologies unit, be used for setting up work breakdown structure (WBS) and analysis and corresponding key technology item being set;
The Multi-Dimensional Extension data processing unit, be used for realizing that a plurality of experts estimate and the Multi-Dimensional Extension data of evaluation result are processed a plurality of technology items of systems technology;
Based on data analysis and the processing unit that weighted sum short slab threshold value is controlled, be used for the Multi-Dimensional Extension evaluating data is carried out automatic analysis and processing, obtain systems technology maturity assessment result;
System Management Unit, be used for arranging and distribute role-security, user and expert are set and the technology maturity assessment grade is set and the rank detail.
15. a kind of systems technology maturity apparatus for evaluating as claimed in claim 13, it is characterized in that: the database of described Multi-Dimensional Extension data system framework comprises: the database of technology maturity rank detail list, system works decomposition texture and key technology item, multi-expert object information storehouse and the systems management data storehouse to multidimensional data, system automatic analysis and the processing of a plurality of technology item maturity assessment of system.
16. a kind of systems technology maturity apparatus for evaluating as claimed in claim 13, it is characterized in that: described Web client is the computer that Web browser is installed, and is used for for expert or keeper.
17. a kind of systems technology maturity apparatus for evaluating as claimed in claim 14, it is characterized in that: described system works decomposition texture and key technology unit are that systems technology is decomposed into the many levels structure, each level consists of a plurality of sub-projects, is the key technology item with a plurality of important sub-project Node configurations finally; Described data analysis based on weighted sum short slab threshold spread and processing unit first calculate each rank mark of sub-project by weighting algorithm, again each rank mark is obtained respectively the technology maturity rank of this sub-project with each default rank threshold comparison, obtain finally the assessment result of systems technology maturity according to short slab threshold values algorithm.
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| CN103646147A (en) * | 2013-12-23 | 2014-03-19 | 中国空间技术研究院 | Method for comprehensively evaluating maturity of aerospace component |
| CN104750040A (en) * | 2013-12-27 | 2015-07-01 | 中芯国际集成电路制造(上海)有限公司 | Confirming system and confirming method for confirming critical point of process change |
| CN103761618A (en) * | 2014-01-23 | 2014-04-30 | 南方电网科学研究院有限责任公司 | Power grid science and technology project control method and system |
| CN104021439A (en) * | 2014-05-29 | 2014-09-03 | 招商银行股份有限公司 | Data center service maturity evaluation method and system |
| CN104021439B (en) * | 2014-05-29 | 2017-12-22 | 招商银行股份有限公司 | Data center services maturity assessment method and system |
| CN105184078A (en) * | 2015-09-06 | 2015-12-23 | 华南理工大学 | Technology maturity evaluation method based on patent relative-quantity analysis |
| CN108764735A (en) * | 2018-05-31 | 2018-11-06 | 中国人民解放军战略支援部队航天工程大学 | A kind of information system system maturity qualitative evaluating method based on confidence level |
| CN108764735B (en) * | 2018-05-31 | 2022-07-22 | 中国人民解放军战略支援部队航天工程大学 | Confidence level-based qualitative evaluation method for maturity of information system |
| CN110097265A (en) * | 2019-04-19 | 2019-08-06 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Acquisition methods, device and the storage medium of the ready degree of Project Technical |
| CN113313395A (en) * | 2021-06-03 | 2021-08-27 | 中国电子科技集团公司第二十九研究所 | Quantitative evaluation method for manufacturing maturity of electronic equipment |
| CN117132015A (en) * | 2023-08-07 | 2023-11-28 | 中国船舶集团有限公司第七一九研究所 | Maturity management system of ship digital prototype |
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