CN110148450A - A kind of Training Administration System - Google Patents
A kind of Training Administration System Download PDFInfo
- Publication number
- CN110148450A CN110148450A CN201910432991.3A CN201910432991A CN110148450A CN 110148450 A CN110148450 A CN 110148450A CN 201910432991 A CN201910432991 A CN 201910432991A CN 110148450 A CN110148450 A CN 110148450A
- Authority
- CN
- China
- Prior art keywords
- data
- training
- module
- mining
- administration system
- 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
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
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
-
- 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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
-
- 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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/283—Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Life Sciences & Earth Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
Abstract
The invention discloses a kind of Training Administration Systems, including data source modules, Data Integration module, data-mining module and application service module；The data source modules, for collecting the information of trainer；The Data Integration module, acquisition, storage and management for data, the data storage in the Data Integration module includes database and data warehouse；The data-mining module, for Modeling of Data Mining, to the model management after modeling, the monitoring to system mode and the multi dimensional analysis to data；The application service module, for providing patterned interaction platform for user.It is capable of the entire training process of monitoring personnel using a kind of Training Administration System of the invention, and obtains trained decision after carrying out analysis and assessment, training data management is more scientific, and the detection of personnel's physical efficiency is more accurate, and training is promoted more effective.
Description
Technical field
The present invention relates to device monitorings and monitoring field, more specifically more particularly to a kind of Training Administration System.
Background technique
For a long time, there are serious mistaken ideas in the understanding of physical training by people, and traditional training method is uninteresting, content list
One, physical training is simply equal to this " old three sample " training method of three (five) kilometers, push-up and sit-ups, improve at
Achievement has ignored the improvement of Human Stamina, instructs to examine by mechanical repetition, the pursuit achievement of blindness, payes attention to training knot
Fruit and despise training process, do not follow the objective law of human physilogical characteristic and physical training, beat rope-a-dope strategy, and to sick and wounded
Hidden danger thinks little of, and small minor illness of hurting adheres to practicing, and eventually leads to and falls sick from overwork, and brings unnecessary damage to the body of person taking exercise.
Since basic staff training condition is different, age composition is more complicated, and cycle of training is long, so training is sick and wounded and forever
Long property damage problem is more prominent.Existing sports school's training management method is extensive, lacks systematicness, has the following problems:
(1) basic staff physical condition lacks tracking；
(2) training is implemented to lack supervision
(3) training effect lacks assessment
It would therefore be highly desirable to design a kind of management system solve the problems, such as it is above-mentioned exist, make personnel can in entire training process
Tracing and monitoring is accessed, training is more scientific, so as to more preferable training for promotion effect.
Summary of the invention
The purpose of the present invention is to provide a kind of Training Administration Systems, are capable of the entire of monitoring personnel using the management system
Training process, and trained decision is obtained after carrying out analysis and assessment, training data management is more scientific, and the detection of personnel's physical efficiency is more accurate,
Training is promoted more effective.
The technical solution adopted by the invention is as follows:
A kind of Training Administration System, the Training Administration System include data source modules, Data Integration module, data digging
Dig module and application service module；
The data source modules, for collecting the information of trainer；
The Data Integration module, acquisition, storage and management for data, the number in the Data Integration module
It include database and data warehouse according to storage；
The data-mining module, for Modeling of Data Mining, to after modeling model management, to the monitoring of system mode
And the multi dimensional analysis to data；
The application service module, for providing patterned interaction platform for user；
The data source modules are connect by Data Integration module with data-mining module, the application service module
It is connect respectively with data source modules, Data Integration module and data-mining module.
Further, the data-mining module provides Policy model definition when being managed to the model after modeling
Management function, for different type personnel to be executed with different Strategies Trainings.
Further, the data-mining module is also used to the being associated property lexical analysis of different data model, base
In model built, sick and wounded early warning is provided.
Further, the data-mining module includes to the drilling through of data to the multidimensional analysis of data, upper volume, cuts
Piece, stripping and slicing and rotation process.
Further, the application service module is also used to analyze data structure offer various dimensions and shows.
Further, the data-mining module be also used to according to scene training data detection and analysis as a result,
Early warning is issued to trainer.
Further, the Data Integration module is also used to execute the validity of data verifying, complete paired data rule
Unification then.
Further, the Modeling of Data Mining in the data-mining module includes to personnel's sign grouping model, instruction
Practice assessment models, training schedule forecasting model and sign state Early-warning Model.
Further, it self establishment and can be adjusted when the definition of Policy model provided by data-mining module management
It is whole.
Further, the Training Administration System further includes on-site training monitoring system, for monitoring and acquisition is participated in training
The training data and sign Index of personnel；The on-site training monitoring system is connect with data source modules.
Compared with prior art, the device have the advantages that are as follows:
A kind of Training Administration System of the invention, including data source modules, Data Integration module, data-mining module and answer
Use service module；The data source modules, for collecting the information of trainer；The Data Integration module, for counting
According to acquisition, storage and management, the data storage in the Data Integration module includes database and data warehouse；The number
According to excavate module, for Modeling of Data Mining, to after modeling model management, to the monitoring of system mode and to the more of data
Dimensional analysis；The application service module, for providing patterned interaction platform for user；The data source modules pass through
Data Integration module is connect with data-mining module, the application service module respectively with data source modules, Data Integration mould
Block and data-mining module connection.It is capable of entirely training for monitoring personnel using a kind of Training Administration System of the invention
Journey, and trained decision is obtained after carrying out analysis and assessment, training data management is more scientific, and the detection of personnel's physical efficiency is more accurate, and training mentions
It rises more effective.
Detailed description of the invention
Fig. 1 is the modular construction schematic diagram of Training Administration System of the present invention；
Fig. 2 is the hierarchical structure schematic diagram in Training Administration System of the present invention.
Specific embodiment
With reference to embodiment, technical solution of the present invention is described in further detail, but do not constituted pair
Any restrictions of the invention.
Shown in referring to Fig.1, a kind of Training Administration System of the invention, including data source modules 1, Data Integration module 2, number
According to excavating module 3 and application service module 4 this four modules, wherein the data source modules 1 pass through Data Integration module 2
Connect with data-mining module 3, the application service module 4 respectively with data source modules 1, Data Integration module 2 and number
It is connected according to module 3 is excavated.It is capable of the entire training process of monitoring personnel using a kind of Training Administration System of the invention, and carries out
Trained decision is obtained after analysis and assessment, training data management is more scientific, and the detection of personnel's physical efficiency is more accurate, and training is promoted more effective.
As known to those skilled in the art, it the data source modules 1, Data Integration module 2, data-mining module 3 and answers
With service module 4, this four modules can embody hierarchical structure as shown in Figure 2 respectively, can be data active layer, Data Integration layer,
Data mining layer, application-server layer, it is by the set of multiple apparatus functions that the concept of layer, which can be presented as,.
One, data source modules 1
Data source modules 1 are used to collect the information of trainer, and data source includes the essential information of participant, training point
Group information, basic sign indication information, drill program information, sick and wounded information, physical examination data, dynamic acquisition sign data and its
His relevant information.
It establishes the application of the transactionals such as participant and drill program management while facilitating the management of data, establish " physical efficiency instruction
Practice information management system " relevant database, receive real-time training data.
The centrally stored and management of realization personnel's physical efficiency archives, drill program and personnel training data, is data analysis layer
Establish basic data source.
Two, Data Integration module 2
Data Integration module 2 is responsible for the acquisition of data, storage and management work.For convenience of the basic management and day of data
The data storage of the often processing of training affairs, this layer includes traditional database and data warehouse this two-level memory framework.Traditional number
The online real-time storages of data, organization and management are realized according to library system, and the real time access of data is provided and increasing, are deleted, changed, Cha Dengcao
Make, is used to support the issued transaction that personnel information management, drill program management etc. are basic, daily.Data warehouse storage
Data be generally historical data, mostly be derived from conventional database systems, have it is integrated, relatively stable, reaction historical variations
And the features such as subject-oriented is the basis of data analysis with data mining work for supporting decision.
Main read by the way of combining using manual entry and data transmission middleware batch of the importing of data is carried out.Number
When according to importing, storage system carries out the verifying of validity to data first, and eliminates redundant data as far as possible, completes data
First round screening, then loads data into traditional database, realizes the on-line storage of data and the structuring of data.It completes
On the basis of on-line storage, using ETL (Extract-Transform-Load) tool, data are extracted from traditional database,
According to rule unification to data cleansing and conversion, duplicate or inconsistent data are removed, complete the second wheel screening of data,
And according to data warehouse model predetermined, load data into data warehouse, it is further, according to demand that data are thin
It is divided into Data Mart, completes the pretreatment of data.
Three, data-mining module 3
Data-mining module 3 is specifically used for following functions:
1. Modeling of Data Mining
There is provided mass data, full dose data Modeling engine, be based on data mining algorithm, for physical training phase inside the Pass
Hold, a series of basic data models are provided, such as personnel's sign grouping model, Training valuation model, training schedule forecasting model, wound
Disease resumes training model and sign state Early-warning Model etc., supports transplanting and optimization to basic model, and can be according to business
Need to evolve or construct new model.
2. Policy model definition management
Data-mining module 3 provides Policy model when being managed to the model after modeling and defines management function, is used for
Different type personnel are executed with different Strategies Trainings.New Policy model is defined in platform, while to existing in platform
Policy model be managed, and provide Policy model monitoring and adjustment function.Tactful running environment is provided, and using champion and
Challenger's mode, is trained strategy, with the validity of test and verification Developing Tactics.Provided Policy model definition pipe
It self establishment and can be adjusted when reason.
3. system status monitoring
Data-mining module 3 is mainly responsible for the monitoring management of the overall operation state of plateform system, the operation of monitoring system
State；User management, user authentication and authorization, the control of login user access right；The monitoring and scheduling of all kinds of model tasks is handled
Deng.
4. on-line analytical processing (OLAP)
Multidimensional analysis function to data is provided.Include: drill through, upper volume, slice, stripping and slicing and rotation.
Drill through: the variation between the different levels of dimension drops to next layer from upper layer, or perhaps will summarize data and be split to
The data of more details, for example drilled through by whole training datas to the second quarter in 2017 to check the second season in 2017
Spend the individual physical ability data of 4,5,6 every months.
Upper volume: the inverse operation drilled through, i.e., from fine-grained data to high-rise polymerization, such as by a company, two companies and three bodies even
Energy training data is summarized the physical training data to check a battalion.
Slice: specifically value is analyzed in selection dimension, and it can be that such as only selection is all that it is trained for, which being included in using,
Compulsory serviceman's training data of the sick and wounded data of major officer or the second quarter in 2017.
Stripping and slicing: the data of specific sections or certain batch of particular value are analyzed in selection dimension, such as selection 2017 first
All physical training data of season to the second quarter in 2017, or young schoolgirl and middle aged woman's physical efficiency data.
Rotation: the exchange for the position tieed up is like the ranks conversion of bivariate table, such as realizes age peacekeeping list by rotation
The exchange of position dimension.
5. scheduling and analysis
Data-mining module 3 is also used to that the being associated property lexical analysis of different data model is based on model built, is passed through
All kinds of analysis models are dispatched, multidimensional, complicated comprehensive analysis and calculating are carried out to data, knowledge is therefrom obtained, obtains physical efficiency
The development trend of incidence relation, different drill programs between trained inherent law, different types of data, discovery training are different
Often, it realizes sick and wounded early warning, implements policy simulation, verify training program.Scientific grouping is carried out to participant, to formulate training meter
It draws and group instruction scheme provides scientific suggestion, provide support for the training decision of Unit Chairman.
Four, application service module 4
Application service module 4 provides patterned interaction platform for user, for providing various dimensions to data analysis structure
Show, realizes data visualization using modes such as crystal report, multidimensional exhibition, figure displaying, chart linkages, and mention for user
For the easy-to-use interaction mode such as towed modeling, Multi-Model Combination, extemporaneous inquiry, knowledge retrieval, quickly show for user
Decision-making assistant information carries out assessment prediction to information, early warning triggering factors is arranged, realizes knowledge reasoning.
Further, a kind of Training Administration System of the invention further includes on-site training monitoring system 5,
On-site training monitoring system 5 is used to monitor and acquire the training data and sign Index of participant, implementation decision
The drill program that support system generates, assists scene group instruction personnel arrangement training, and demostrating action main points monitor the reality of drill program
It applies, regulates and controls the training strength of participant, sick and wounded early warning is provided.On-site training monitoring system 5 is connect with data source modules 1.
On-site training monitoring system 5 is to realize the driving source of total system data-driven, provides core for data mining and analysis
The support of calculation evidence.Concrete function includes:
1. management and the status tracking of current play participant.
2. on-site training Plan rescheduling and management.The implementation for monitoring drill program is adjusted according to the instruction dynamic of group instruction personnel
Whole drill program records drill program performance, provides data supporting for further data mining and analysis.
3. on-site training movement demonstration.The demonstration of standard operation is provided, main points explanation is supported as the single or multiple people that participate in training
Member assigns training instruction, implements accurate training guidance.
4. training data monitoring and analysis.Has real-time training data analytic function, for training on-site training plan and instruction
The adjustment for practicing intensity provides foundation.
5. training guidance and sick and wounded early warning.Individual training plan based on this play relies on the monitoring of on-site training data
With analysis as a result, according to the training management strategy pre-established, targeted instruction is assigned to participant, instructs the people that participates in training
Member's sentific training.When participant sign Index reaches critical value, system can issue early warning, while remind participant
Deconditioning, and prompt group instruction personnel implement emergency measure.
6. on-site training data and sign Index acquisition, record and storage.The formatted storage of data is completed, is dug for data
Pick and analysis provide data supporting.
7. automatic network-building, wearable device dynamic networks, network management, safety certification.
Support the equipment composition of on-site training monitoring system 5 can include:
1. wearable device
Realize the real-time acquisition and tracking of monitoring data, monitoring data include: move distance, time, speed, step number, arteries and veins
It fights rate, blood pressure, blood oxygen, the data such as body temperature.Equipment will have high reliability and high sensitivity, can carry out to data quasi- in real time
Really tracking monitors on-site training and timely responds to the information of system is instructed.There is wearable device the unique equipment of system to compile
Number, number is the mark that wearable device networks, while being also the identity of participant, and on-site training monitoring system passes through
Device numbering come manage and record acquisition data, training instruction is assigned to participant.
2. on-site training monitoring server
The training supervision server at training scene uses dual computer group formula framework, improves stability, the data processing of system
Ability and service ability.For carrying training supervision system, receives and refer to processing field data database, scene publication training
Show, management training field network etc..
3. training place supporting network
As the bearer network of training place data acquisition equipment and on-site training monitoring system, should have easily deployment, Yi Wei
The characteristics of shield, easy extension, while using the safety of network as emphasis, guarantee the safe and reliable of field network environment.
In secure context, network has stringent accessing user's review mechanism, only provides wearable data acquisition in principle
The wireless access of equipment, on-site training monitoring system server is connect by convergence switch with access hot spot, to improve access
The safety of network, network should have threat early warning and resist mechanism.
In terms of network extension, access network can be met different by increasing wireless access hot spot extended coverage range
The network insertion of area training place needs, and the number of the wearable device of access network can be adjusted flexibly in network according to the number of participating in training
Amount.
In terms of network management, the management of the network equipment and network access equipment is completed, including convergence switch, is wirelessly connect
Enter the management of hot spot, the management of wearable device, wherein wearable device management mainly includes the registration of wearable device and sets
The granting of standby number.
In Network Dept.'s management side face, the foundation structure of network is made of a core switch and Duo Tai wireless access hot spot,
Wearable device automatically accesses wireless access hot spot by system unique number, and can be according to the signal strength of hot spot in Duo Tai
Flexibly switch between access hot spot.On-site training monitoring system is directly accessed core switch by cable, realizes wearable device
With the communication of on-site training monitoring system.
In terms of network operation, wireless network working frequency is 2.4G, to have strong anti-interference ability, there is quickly networking function
Can, it realizes the state real-time tracking of networking equipment, guarantees the availability and reliability of network.It is easy to maintain to access hot spot, has event
Hinder self-checking function.Wearable device can be replaced using stand-by equipment at any time in the training process, and replacement equipment ensures
The system identity consistency of participant and the continuity of collecting training data.
The system can be realized that LAMP (Linux-Apache-MySQL-PHP) platform architecture is based on LAMP platform
The Web frame of international popular at present, the frame include: (SuSE) Linux OS, Apache network server, MySQL database,
Perl, PHP or Python programming language, it is the architecture framework of international mature, very that all composition products, which are open source softwares,
The business application of multithread row is all that this framework is taken to compare with Java/J2EE framework, and LAMP has web resource abundant, light
The features such as amount, quick exploitation, the .NET framework of Microsoft is compared, and LAMP has general, cross-platform, high-performance, the advantage of low price,
Therefore LAMP either performance, quality or price are all the preferred platforms that enterprise builds.
Finally, it should be noted that technical side the above examples are only used to illustrate the technical scheme of the present invention and are not limiting
Case, although applicant describes the invention in detail referring to preferred embodiment, those skilled in the art should be managed
Solution, modification or equivalent replacement of the technical solution of the present invention are made for those, without departing from the objective and range of the technical program,
It is intended to be within the scope of the claims of the invention.
Claims (10)
1. a kind of Training Administration System, which is characterized in that the Training Administration System includes that data source modules (1), data are whole
Mold block (2), data-mining module (3) and application service module (4)；
The data source modules (1), for collecting the information of trainer；
The Data Integration module (2), acquisition, storage and management for data, in the Data Integration module (2)
Data storage includes database and data warehouse；
The data-mining module (3), for Modeling of Data Mining, to after modeling model management, to the monitoring of system mode
And the multi dimensional analysis to data；
The application service module (4), for providing patterned interaction platform for user；
The data source modules (1) are connect by Data Integration module (2) with data-mining module (3), the application clothes
Business module (4) is connect with data source modules (1), Data Integration module (2) and data-mining module (3) respectively.
2. a kind of Training Administration System according to claim 1, which is characterized in that the data-mining module (3) exists
Policy model is provided when being managed to the model after modeling and defines management function, it is different for being executed to different type personnel
Strategies Training.
3. a kind of Training Administration System according to claim 2, which is characterized in that the data-mining module (3) is also
For being based on model built, providing sick and wounded early warning to the being associated property lexical analysis of different data model.
4. a kind of Training Administration System according to claim 1, which is characterized in that the data-mining module (3) is right
The multidimensional analysis of data includes to the drilling through of data, upper volume, slice, stripping and slicing and rotation process.
5. a kind of Training Administration System according to claim 4, which is characterized in that the application service module (4) is also
Show for providing various dimensions to data analysis structure.
6. a kind of Training Administration System according to claim 1, which is characterized in that the data-mining module (3) is also
For the detection and analysis according to live training data as a result, issuing early warning to trainer.
7. a kind of Training Administration System according to claim 1, which is characterized in that the Data Integration module (2) is also
Verifying, the unification of complete paired data rule are executed for the validity to data.
8. a kind of Training Administration System according to claim 1, which is characterized in that in the data-mining module (3)
Modeling of Data Mining include to personnel's sign grouping model, Training valuation model, training schedule forecasting model and sign shape
State Early-warning Model.
9. a kind of Training Administration System according to claim 2, which is characterized in that the data-mining module (3) is mentioned
The Policy model of confession self establishment and can adjust when defining management.
10. a kind of Training Administration System according to claim 1, which is characterized in that the Training Administration System also wraps
On-site training monitoring system (5) are included, for monitoring and acquiring the training data and sign Index of participant；The scene instruction
Practice monitoring system (5) to connect with data source modules (1).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910432991.3A CN110148450A (en) | 2019-05-23 | 2019-05-23 | A kind of Training Administration System |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910432991.3A CN110148450A (en) | 2019-05-23 | 2019-05-23 | A kind of Training Administration System |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110148450A true CN110148450A (en) | 2019-08-20 |
Family
ID=67592747
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910432991.3A Pending CN110148450A (en) | 2019-05-23 | 2019-05-23 | A kind of Training Administration System |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110148450A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112587899A (en) * | 2020-11-11 | 2021-04-02 | 济南大学产业技术研究院有限公司 | Physical training fine management system and method |
| CN114642869A (en) * | 2022-02-16 | 2022-06-21 | 中国人民解放军海军工程大学 | Training process management system with state monitoring function |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130138601A1 (en) * | 2011-11-24 | 2013-05-30 | Tata Consultancy Services Limited | System and method for data aggregation, integration and analyses in a multi-dimensional database |
-
2019
- 2019-05-23 CN CN201910432991.3A patent/CN110148450A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130138601A1 (en) * | 2011-11-24 | 2013-05-30 | Tata Consultancy Services Limited | System and method for data aggregation, integration and analyses in a multi-dimensional database |
Non-Patent Citations (3)
| Title |
|---|
| 曹洪岩 等: "校园财务数据仓库系统的建立和OLAP应用", 《微机发展》 * |
| 罗眉 等: "数据挖掘技术在军事训练中的应用研究", 《微计算机信息》 * |
| 黄建华 等: "数据挖掘技术在部队训练信息管理中的应用", 《今日科苑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112587899A (en) * | 2020-11-11 | 2021-04-02 | 济南大学产业技术研究院有限公司 | Physical training fine management system and method |
| CN114642869A (en) * | 2022-02-16 | 2022-06-21 | 中国人民解放军海军工程大学 | Training process management system with state monitoring function |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lu et al. | Measurement model of project complexity for large-scale projects from task and organization perspective | |
| Byrne | Adolescent self-concept, ability grouping, and social comparison: Reexamining academic track differences in high school | |
| Santos et al. | INTCARE: multi-agent approach for real-time intelligent decision support in intensive medicine | |
| CN110148450A (en) | A kind of Training Administration System | |
| Nevison | Computing in the Liberal Arts College: At Dartmouth, writing a computer program is part of becoming a liberally educated person. | |
| CN111160857A (en) | Hospital standard culture clinical teaching management system based on internet platform | |
| Li | Research on higher vocational network teaching quality evaluation system based on big data analysis | |
| Peleschyshyn et al. | Building of Information Activity Management System of Higher Educational Establishment in the Social Environments of the Internet | |
| Wang et al. | Construction of college sports teaching evaluation system under the background of big data | |
| Shi | Construction and evaluation of college students’ psychological quality evaluation model based on analytic hierarchy process | |
| Liu et al. | Research on university mental health education based on computer big data statistical analysis | |
| Wang | Analysis method of college student physical education quality based on big data analysis | |
| Gan et al. | Research on Optimization of Student Management Evaluation System under the Background of Big Data | |
| Liang | Research On The Quality Evaluation Of Higher Education Information Management Based On Weighted Topsis | |
| Fu et al. | Distributed simulation system for Athletes’ mental health in the internet of things environment | |
| He et al. | Surgical Nursing Teaching Quality Monitoring Platform Design Based on Big Data | |
| CN110634090A (en) | College entrance examination score conversion system and method | |
| Zhu | Research on the accurate identification method of college students with financial difficulties based on big data | |
| Wang | Establishment on comprehensive quality evaluation index system of computer major college students | |
| Jifang et al. | Construction of intelligent service system for adolescent students’ PE based on big data analysis | |
| Dai | Endurance Monitoring Method for Rock Climbers Based on Multisensor FDA Model | |
| Haitao et al. | Development and application of undergraduate physical fitness and mental health detection system | |
| Wang et al. | Application and Improvement of Agile Development in Intelligent Health Hut Software Project | |
| Zhuo | Design and implementation of English online examination system based on QT | |
| Peng | Design and implementation of sport training management information system for high education sports team |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190820 |