CN112801835B

CN112801835B - Experiment teaching data management platform

Info

Publication number: CN112801835B
Application number: CN202110347716.9A
Authority: CN
Inventors: 罗涛; 曹正标; 陈美松; 王志远
Original assignee: Beijing Rainier Network Technology Co ltd
Current assignee: Beijing Runneier Technology Co.,Ltd.
Priority date: 2021-03-31
Filing date: 2021-03-31
Publication date: 2021-07-20
Anticipated expiration: 2041-03-31
Also published as: CN112801835A

Abstract

The invention relates to an experimental teaching data management platform, which comprises: the management platform can be compatible across different subject specialties, relates to different manufacturers and even experimental resources of different technologies, can meet the requirement of transverse expansion and is suitable for the experimental teaching process of each college, and avoids the repeated construction of the experimental teaching data management platform of each college in the school. When the management platform is adopted for carrying out experiment teaching experiment data interaction, a preset disclosure level is set for an experiment, when any single experiment X is completed, the business system integrates the experiment data of the single experiment X, the experiment data is respectively compared with the joint calibration level experiment database and the social experiment database, the coincidence degree of the experiment data is calculated, the experiment level is corrected, and the final disclosure level of the experiment is judged according to the correction result.

Description

Experiment teaching data management platform

Technical Field

The invention relates to the field of experiment teaching, in particular to an experiment teaching data management platform.

Background

The traditional classroom teaching has advantages of the traditional classroom teaching, for example, in the teaching process, teachers can interact with students in a language, gesture and eye contact mode, questions proposed by the students can be answered in time, discussion, communication and question answering can be carried out in the same environment, students do not learn in cooperation, but the classroom teaching has defects of the traditional classroom teaching, for example, the number of students is rapidly increased along with further extension of schools, but resources of the schools and teachers are relatively short, so that the education quality is reduced; in addition, classroom teaching is greatly influenced by time and space, and if a teacher goes on a business trip and a student is sick, the classroom teaching can bring huge influence to learning. And the network distance education brought by the information technology can well make up the deficiency of classroom teaching, so that the learning is not limited by time and space, resources can be shared, and the problem of insufficient education resources is solved. Each college begins to build experimental teaching data management platforms which accord with the field of the subject specialty of the college, but the current teaching platform has some disadvantages: repeatedly constructing an experimental teaching data management platform; the experimental teaching data management platform is independently operated by each college, the colleges cannot uniformly and collectively manage experimental data in the teaching process, and the phenomenon of 'experimental data island' exists; the experimental teaching data management platform has different construction styles, and can not unify entries, so that the experimental teaching is not beneficial to open sharing to a whole school or other colleges, and the interaction of experimental data is difficult.

Disclosure of Invention

Therefore, the invention provides an experimental teaching data management platform which is used for solving the problem that experimental data interaction of the experimental teaching platform is difficult in the prior art.

In order to achieve the above object, the present invention provides an experimental teaching data management platform, comprising: the system comprises an infrastructure, a basic service, an extended service, a business system and an information system experimental data interaction interface;

the business system is provided with a plurality of experiment sets according to a college, a public level is arranged for a single experiment in the experiment sets, different public levels correspond to different experiment levels, the experiment levels comprise an S level, an A level, a B level, a C level and a D level, wherein,

the S-level experiment designates an experiment for a single teacher and is disclosed only in the teacher subject group;

the A-level experiment is an experiment for exchanging experimental data in a college and is disclosed in the college for carrying out the experiment;

the level B experiment is an experiment for exchanging experimental data in the school and is disclosed in the school for carrying out the experiment;

the C-level experiment is a joint calibration level experiment data exchange experiment and is disclosed in a joint calibration level experiment database;

the D-level experiment is a social published experiment data exchange experiment and is published to the public through an appointed website;

an experiment data processing module is arranged in the business system, a grading grade matrix E0, E0= { E1, E2, E3 and E4} are arranged in the experiment data processing module, when the grade of an individual experiment X is determined by adopting the experiment teaching data management platform, an experiment preset grade E is input, the experiment data processing module compares the experiment preset grade E with parameters in the grading grade matrix E0, and the experiment X preset experiment grade is determined according to the comparison result;

when the independent experiment X is finished, integrating the experimental data of the independent experiment X, respectively comparing the experimental data with the joint calibration level experimental database and the social experimental database, calculating the contact ratio of the experimental data, correcting the preset score E of the experiment according to the contact ratio, and judging the experimental grade according to the correction result to determine the final open level;

different correction modes are set according to different experimental grades, and when the corrected experimental score is different from the experimental preset score E in the same grade, the experimental data processing module generates experimental data for adjusting the experimental grade;

when the coincidence degree of the experimental data is calculated, the experimental data is divided into three parts, including experiment preparation stage data, experiment proceeding stage data and experimental result data, the coincidence degree of each stage is calculated respectively, the integral coincidence degree of the experimental data and the experimental data of the joint calibration stage experimental database is calculated through the coincidence degree of each stage, the coincidence degree of the experimental data of each stage has different weights under different preset experimental stages, wherein the smaller the experimental disclosure range is, the larger the weight occupied by the experimental result data is; the larger the experiment disclosure range is, the larger the weight occupied by the experiment preparation stage data is;

when the level of the single experiment X is adjusted, if the adjusted level is S level or D level, the final level of the experiment is directly determined to be S level or D level without verification after adjustment; if the adjusted grade is A grade, B grade or C grade, calculating the contact ratio of the experimental data again according to the adjusted grade, and further adjusting the experimental score according to the contact ratio until the adjusted score corresponds to the adjusted experimental grade;

when the business system carries out level adjustment on an experiment with a preset experiment level of S level, two-level password verification is required, the character accuracy of the password is verified at the first level, the input time interval between the characters of the input accurate password is verified at the second level, and when the experiment with the preset experiment level of A level, B level or C level is subjected to level adjustment, one-level password verification is required; when the experiment with the preset experiment level of D level is subjected to level adjustment, password verification is not required.

Further, the scoring level matrix of the experimental data processing module comprises a first preset scoring level parameter E1, a second preset scoring level parameter E2, a third preset scoring level parameter E3 and a fourth preset scoring level parameter E4, and each scoring level parameter increases in sequence;

the experimental data processing module compares an experimental preset score E with parameters in a score grade matrix E0:

when E is less than or equal to E1, the experiment data processing module presets the experiment as a D-level experiment;

when E is more than E1 and less than or equal to E2, the experiment data processing module presets the experiment as a C-level experiment;

when E is more than E2 and less than or equal to E3, the experiment data processing module presets the experiment as a B-level experiment;

when E is more than E3 and less than or equal to E4, the experiment data processing module presets the experiment as a grade A experiment;

when E > E4, the experimental data processing module presets the experiment as a class S experiment.

Furthermore, a coincidence degree parameter matrix group F0 and a coincidence degree pair experiment score compensation parameter matrix G0 are arranged in the experiment data processing module;

for a coincidence degree parameter matrix group F0, F0= { Fs, Fa, Fb, Fc, Fd }, Fs is an S-level experiment coincidence degree parameter matrix, Fa is an A-level experiment coincidence degree parameter matrix, Fb is a B-level experiment coincidence degree parameter matrix, Fc is a C-level experiment coincidence degree parameter matrix, and Fd is a D-level experiment coincidence degree parameter matrix;

for the coincidence degree parameter matrix Fj, j = s, a, b, c, d, Fj = { Fj1, Fj2}, where Fj1 is a first preset coincidence degree parameter of the coincidence degree parameter matrix Fj, and Fj2 is a second preset coincidence degree parameter of the coincidence degree parameter matrix Fj;

for the coincidence degree pair experiment score compensation parameter matrix G0, G0= { G1, G2, G3, G4, G5}, wherein G1 is an S-level experiment coincidence degree pair experiment score compensation parameter, G2 is an a-level experiment coincidence degree pair experiment score compensation parameter, G3 is a B-level experiment coincidence degree pair experiment score compensation parameter, G4 is a C-level experiment coincidence degree pair experiment score compensation parameter, and G5 is a D-level experiment coincidence degree pair experiment score compensation parameter;

when any single experiment X is finished, the business system integrates the experimental data of the single experiment X, compares the experimental data with the joint calibration level experimental database and the social experimental database respectively, calculates the coincidence degree of the experimental data, corrects the preset score E of the experiment according to the coincidence degree, and judges the final open level of the experiment according to the corrected result.

Further, when the preset experiment grade of the single experiment X is S grade, the experiment data processing module selects G1 from the overlap ratio pair experiment score compensation parameter matrix G0 as an overlap ratio pair experiment score compensation parameter; the business system calculates the contact ratio Fx of the experimental data and the experimental data of the joint calibration level experimental database and the contact ratio Fz of the experimental data and the experimental data of the social experimental database, and transmits the calculation result to the experimental data processing module, and the experimental data processing module respectively compares the Fx and the Fz with the internal parameters of the Fs matrix:

when the Fx is less than or equal to Fs2 and the Fz is less than or equal to Fs2, the experiment data processing module judges that the external experiment data of the experiment X is not fully published and does not adjust the preset score E of the experiment X;

when Fx > Fs2 or Fz > Fs2, the experimental data processing module determines that the external experimental data publication of experiment X is sufficient, the experimental data processing module recalculates the score E', wherein,

when Fx is more than Fs2 and Fz is less than or equal to Fs2, E' = E-G1 x (Fx-Fs 2);

when Fx is less than or equal to Fs2 and Fz is more than or equal to Fs2, E' = E-G1 x (Fz-Fs 2);

when Fx > Fs2, Fz > Fs2, E' = E-G1 x (Fz-Fs 2) -G1 x (Fx-Fs 2).

Further, when the preset experiment grade of the independent experiment X is a grade a, the experiment data processing module selects G2 from a coincidence degree pair experiment scoring compensation parameter matrix G0 as a coincidence degree pair experiment scoring compensation parameter, the business system calculates the coincidence degree Fx of the experiment data and the experiment data of the joint calibration level experiment database, the coincidence degree Fz of the experiment data and the experiment data of the social experiment database, and transmits the calculation result to the experiment data processing module, and the experiment data processing module compares Fx and Fz with the internal parameters of the Fa matrix respectively:

when the Fx is less than or equal to Fa1 or the Fz is less than or equal to Fa1, the experimental data processing module judges that the external experimental data distribution amount of the experiment X is different from the predicted distribution amount, and the experimental data processing module recalculates the score E';

when the Fa1 is larger than or equal to the Fx and is not smaller than Fa2 and the Fa1 is larger than or equal to the Fz and is not smaller than Fa2, the experimental data processing module judges that the external experimental data public distribution quantity of the experiment X is similar to the expected public quantity, and does not adjust the preset score E of the experiment X;

when Fx > Fa2 or Fz > Fa2, the experimental data processing module judges that there is a difference between the external experimental data distribution amount of experiment X and the predicted distribution amount, and the experimental data processing module recalculates the score E', wherein,

e' = E + G2 x (Fa 1-Fx) + G2 x (Fa 1-Fz) when Fx ≦ Fa1, Fz ≦ Fa 1;

e' = E + G2 × (Fa 1-Fx) when Fx ≦ Fa1, Fa1 < Fz ≦ Fa 2;

e' = E + G2 × (Fa 1-Fz) when Fz ≦ Fa1, Fa1 < Fx ≦ Fa 2;

e' = E + G2 × (Fa 1-Fx) -G2 × (Fz-Fa 2) when Fx ≦ Fa1, Fz > Fa 2;

e' = E + G2 x (Fa 1-Fz) -G2 x (Fx-Fa 2) when Fz ≦ Fa1, Fx > Fa 2;

e' = E-G2 × (Fx-Fa 2) when Fx > Fa2, Fa1 < Fz ≦ Fa 2;

e' = E-G2 × (Fz-Fa 2) when Fa1 < Fx ≦ Fa2, Fz > Fa 2;

e' = E-G2 × (Fz-Fa 2) -G2 × (Fx-Fa 2) when Fx > Fa2, Fz > Fa 2;

when the preset experiment grade of the independent experiment X is B grade or C grade, the experiment data processing module judges whether the preset experiment score E is adjusted according to the operation of the A grade experiment, and when the preset experiment score E needs to be adjusted, the preset experiment score E is adjusted to E' according to the operation of the A grade experiment.

Further, when the preset experiment grade of the single experiment X is grade D, the experiment data processing module selects G5 from the coincidence degree pair experiment scoring compensation parameter matrix G0 as a coincidence degree pair experiment scoring compensation parameter; the business system calculates the contact ratio Fx of the experimental data and the experimental data of the joint calibration level experimental database and the contact ratio Fz of the experimental data and the experimental data of the social experimental database, and transmits the calculation result to the experimental data processing module, and the experimental data processing module respectively compares the Fx and the Fz with the internal parameters of the Fd matrix:

when Fx is not less than Fd1 or Fz is not less than Fd1, the experimental data processing module judges that the external experimental data public quantity of the experiment X is different from the predicted public quantity, and the experimental data processing module recalculates the score E';

when Fx is larger than Fd1 and Fz is larger than Fd1, the experimental data processing module judges that the external experimental data public distribution amount of the experiment X is similar to the predicted public distribution amount, and does not adjust the preset score E of the experiment X; wherein the content of the first and second substances,

when Fx is not less than Fd1 and Fz is not less than Fd1, E' = E + G5 x (Fd 1-Fx) + G5 x (Fd 1-Fz);

when Fx ≦ Fd1, Fz > Fd1, E' = E + G5 × (Fd 1-Fx);

when Fz ≦ Fd1, Fx > Fd1, E' = E + G5 × (Fd 1-Fz).

Further, when the experimental data processing module recalculates the score as E ', the experimental data processing module compares E' with the parameters in the E0 matrix:

when E' > E4, the experimental data processing module does not adjust the experimental grade of experiment X;

and when E' is less than or equal to E4, the experiment data processing module judges that the experiment grade of the experiment X is not consistent with the preset experiment grade, and the experiment data processing module generates an adjustment experiment grade report.

Further, when the experiment data of the single experiment X is subjected to the calculation of the coincidence degree with the experiment data of the joint calibration stage experiment database, the experiment data of the single experiment X is divided into three parts, including experiment preparation stage data P1, experiment progress stage data P2 and experiment result data P3, the coincidence degree of each stage is calculated respectively, and the overall coincidence degree of the experiment data and the experiment data of the joint calibration stage experiment database is calculated through the coincidence degree of each stage, wherein the coincidence degree weight of the experiment preparation stage data P1 is q1, the coincidence degree weight of the experiment progress stage data P2 is q2, and the coincidence degree weight of the experiment result data P3 is q3;

the contact ratio weights q1, q2, q3 have different values for different preset experimental levels, wherein,

when experiment X is preset to be S-class experiment, q1=0.3, q2=0.3, q3= 0.4;

when experiment X is preset to be a-class experiment, q1=0.3, q2=0.4, q3= 0.3;

when experiment X is preset to be a class B experiment, q1=0.45, q2=0.3, q3= 0.25;

when experiment X is preset to be a class C experiment, q1=0.5, q2=0.25, q3= 0.25;

when experiment X is preset to be a class D experiment, q1=0.5, q2=0.3, q3= 0.2;

when the experiment data processing module calculates the coincidence degree of the experiment data of the experiment X and the experiment data of the joint calibration grade experiment database, the business system respectively calculates the coincidence degree Fx1 of the experiment preparation stage data P1 and the experiment data of the joint calibration grade experiment database, the coincidence degree Fx2 of the experiment implementation stage data P2 and the experiment data of the joint calibration grade experiment database, and the coincidence degree Fx3 of the experiment result data P3 and the experiment data of the joint calibration grade experiment database; the experimental data processing module calculates the coincidence ratio Fx of the experimental data of experiment X and the experimental data of the joint calibration grade experimental database, wherein Fx = Fx1 × q1 + Fx2 × q2 + Fx3 × q3;

when the experimental data processing module calculates the contact ratio Fz of the experimental data and the experimental data of the social experimental database, the contact ratio of each stage is calculated respectively, and the integral contact ratio of the experimental data and the experimental data of the social experimental database is calculated according to the contact ratio of each stage.

Further, for experiment X, a level adjustment password H0, H0= { H1, H2, H3, H4 … … } and an input duration interval matrix Th, Th = { Th1, Th2, Th3 … … } are set in the experiment data processing module;

for the level-adjustment password H0, H0= { H1, H2, H3, H4 … … }, where H1 is a first-bit preset character of the level-adjustment password, H2 is a second-bit preset character of the level-adjustment password, H3 is a third-bit preset character of the level-adjustment password, and H4 is a fourth-bit preset character … … of the level-adjustment password;

for an input duration interval matrix Th, Th = { Th1, Th2, Th3 … … }, when a level adjustment password H0 of an experiment X is set, the experiment data processing module records that the input durations of a preset character H1 and a preset character H2 are Th1, records the input durations of a preset character H2 and a preset character H3 are Th2, and records the input durations of a preset character H3 and a preset character H4 are Th3 … …;

when carrying out the grade control to experiment X, be equipped with the grade and adjust the password, according to predetermineeing the difference of experiment grade, carry out the requirement difference of grade control:

when the level adjustment is carried out on the S-level experiment with the preset experiment level, the password input needs to be carried out by the responsible person of the S-level experiment in person, the password verification is divided into two levels, the character accuracy of the password is verified at the first level, and the input time interval between the input accurate password characters is verified at the second level;

when the character accuracy of the password is verified, the experimental data processing module records that the input characters are the password H1, H1= { H1 ', H2 ', H3 ', H4 ' … … }, records the input duration interval matrix Th ', Th ' = { Th1 ', Th2 ', Th3 ' … … }, compares the characters in H1 with the characters in H0 one by one, and judges that the first-level verification is passed when all the characters in H1 are consistent with all the characters in H0; when the characters in H1 do not accord with the characters in H0, the experimental data processing module judges that the first-level verification is not passed, and the experimental data processing module provides an instruction of re-inputting the password; when the first-level verification fails for three times, the experiment data processing module judges that the password input person is not the experiment responsible person, and cannot perform grade adjustment on the experiment X within the preset time Tx;

the experimental data processing module is internally provided with a time interval error parameter tx, when the experimental data processing module judges that the first-level verification is passed, the experimental data processing module carries out second-level verification, the experimental data processing module calculates an absolute value delta T1 of a difference value between Th1 'and Th 1= | Th 1' -Th 1|, and the experimental data processing module compares the delta T1 with the tx:

when the delta T1 is not more than tx, the experimental data processing module judges that the absolute value delta T1 of the difference value between the Th1 'and the Th1 is in a reasonable range, and the input duration interval Th 1' is verified to be qualified;

when delta T1 is larger than tx, the experimental data processing module judges that the absolute value delta T1 of the difference value between Th1 'and Th1 is not in a reasonable range, the input duration interval Th 1' is unqualified in verification, and the second-level verification is not passed;

when the input duration interval Th1 ' is verified to be qualified, the experimental data processing module sequentially checks Th2 ' and Th3 ' … … according to the same operation;

when all time intervals in the input time interval matrix Th ', Th ' = { Th1 ', Th2 ', Th3 ' … … } are checked to be qualified, the experiment data processing module judges that the second-stage check is passed and carries out grade adjustment on the experiment X;

when the second-level verification is failed, the experimental data processing module provides an instruction for re-inputting the password; when the second-level verification fails in five times, the experiment data processing module judges that the password input person is not the experiment responsible person, and cannot perform grade adjustment on the experiment X within the preset time Tx;

when adjusting the preset experiment level A, B or C level experiments, the character accuracy of the first level verification password is required to be verified; when the experiment of the preset experiment grade D level is adjusted, the password is not required to be input, and the experiment data processing module automatically adjusts.

Further, an operation environment is provided for the experiment teaching data management platform, and the infrastructure comprises an application server, an experiment database server, a file server, a switch, a network bandwidth and firewall security component; the application server is used for deploying and building application services; the experiment database server provides experiment data storage services for the application, wherein the experiment data storage services comprise relational experiment database and non-object relational experiment database services, and the deployment of some experiment data cache service components; the file server is used for providing a distributed file system for the experiment teaching data management platform and storing experiment resources and teaching files generated in the experiment teaching process; the switch and the network bandwidth guarantee that the experimental teaching data management platform can be accessed in a local area network or a wide area network, and the experimental resources can be rapidly transmitted in the network; firewall security component provides basic information security assurance for experiment teaching data management platform. The basic service comprises the following steps: the system comprises organization management, user management, identity authentication, identity authorization, website management, system monitoring, educational administration management, an experimental data center, a message task and experimental course management basic service functions; the service function is the most basic and universal function, and the function is used for enabling the experiment teaching service and is the basis for enabling the experiment teaching data management platform to be transversely suitable for various colleges; based on the basic service, the experimental teaching service only needs to pay attention to the service flow, and the construction of an experimental teaching platform can be realized without paying attention to the basic service function;

the extended service comprises the following steps: the method comprises a service center, a unified identity authentication or single sign-on, a remote calling and experiment data stream transmission technology, a network cache and a service calling service; the service center performs service management on the transversely expanded experiment teaching management system, provides a uniform entrance for experiment teaching management of each college, and ensures a uniform style; unified identity authentication or single sign-on provides unified identity authentication and authorization management service for the transversely-extended experimental teaching management system; remote calling and experimental data stream transmission technology and network caching technology are used for ensuring that experimental courses built by different subject specialties, different manufacturers and different technologies can be compatible for experimental teaching; service calling provides basic service resources for all transversely-expanded experimental teaching data management platforms through a webservice interface, wherein the basic service resources comprise teaching affair related experimental data, experimental course resources, statistical experimental data and message tasks, and the transversely-expanded experimental teaching business calls the webservice interface to acquire experimental data resources through calling an http + xml protocol to realize business expansion;

the extension service provides a uniform application interface for the basis of the transverse extension of the service of each experimental teaching data management platform, and the head, the left navigation and the bottom are uniformly provided by the basic platform; each subsystem responds by returning a page rendering mode or an iframe embedded mode to realize local refreshing of a content area; the service request of the content area distributes the request through service scheduling of the extended service, the request is sent to a webservice interface which is provided by a corresponding basic platform and used for acquiring resources, the basic platform, namely the experiment teaching management service, processes the resources of the request, returns corresponding content, and the extended service platform renders and displays the returned content;

the experimental data interaction interface of the school informatization system comprises: the experimental data interaction interface can ensure that the experimental teaching data management platform is communicated and butted with experimental data of some informatization systems of the school educational administration system, and the service system which is transversely expanded is served through basic service and expansion service after the butt joint, so that the service system does not need to be singly butted with the experimental data of the school informatization system;

an experiment teaching data management platform, infrastructure provides the operational environment for the experiment teaching data management platform, provides the network support service, provides the basic storage capacity; the basic service is the most basic function in the experimental teaching management business, is extracted out to be constructed in a unified way, provides basic support service for the extension experimental teaching management of each college transversely, and enables the extension experimental teaching management of each college; the extension service is responsible for providing extension interfaces, unifying the styles of the presentation layers and unifying the entries for the extension experiment teaching of various colleges, if a certain college wants to extend the experiment teaching data management platform suitable for the college based on the basic service, the interface provided by the extension service is called only by following the styles of the presentation layers and the unifying entries, so that the construction of the experiment teaching management process is realized; the business system realizes the business in all directions of experimental teaching; the experimental data interaction interface of the school information system is responsible for realizing the butt joint of experimental data between the experimental teaching data management platform and the information system of the school, and the experimental teaching data management platform of each business direction of the business system does not need to be singly in butt joint with the experimental data of the school information system, but only needs to use the information function provided by the basic service through service expansion.

Compared with the prior art, the experimental teaching data management platform has the advantages that the experimental teaching data management platform is built to be compatible with different subject specialties, different manufacturers and even experimental resources of different technologies are involved, the experimental teaching process suitable for various colleges can be expanded transversely, the experimental teaching data management platform is prevented from being repeatedly built by various colleges in schools, and the experimental teaching investment is reduced; solving the phenomenon of 'experimental data islanding', uniformly collecting and managing experimental data in the experimental teaching process, and analyzing the experimental data to serve teaching managers; and the unified entrance is used for experimental teaching, and for a user, only one platform is provided, and the style of the platform are consistent. The sharing and the sharing of the experiment teaching universities and other colleges are realized, and the social benefit of the teaching resource opening and sharing is realized.

Furthermore, the management platform can be interconnected with other college management platforms, a school alliance is established, experimental data is shared, and a school-level experiment database is established; the management platform can interact with internet experimental data, verify the experimental data and establish a social experimental database; the experimental system is characterized in that a plurality of experimental sets are arranged in the business system according to a college, a single experiment in the experimental set is provided with a public level, and the experimental system comprises an S-level experiment, an A-level experiment, a B-level experiment, a C-level experiment, a D-level experiment and a social publishing experiment. Different experimental data interaction levels are set according to experimental categories, open sharing of teaching resources is further achieved, and meanwhile, experimental open levels are determined.

Furthermore, an experiment data processing module is arranged in the service system, a grading grade matrix E0 is arranged in the experiment data processing module, when the experiment teaching data management platform is adopted to determine the grade of an individual experiment X, an experiment preset grade E is input, the experiment data processing module compares the E with the parameters in the grading grade matrix E0, and the experiment X is graded according to the comparison result; when any single experiment X is finished, the business system integrates the experimental data of the single experiment X, compares the experimental data with the joint calibration level experimental database and the social experimental database respectively, calculates the contact ratio of the experimental data, corrects the preset score E of the experiment according to the contact ratio, and judges the final open level of the experiment according to the corrected result; and (5) correcting the experimental interaction level, and further clearly disclosing the level.

Particularly, when the experiments are in different stages, different weight values are set for the calculation of the degree of contact, wherein the smaller the experiment disclosure range is, the larger the weight occupied by the experiment result data is, so that the conclusion data of the high-precision experiment is ensured not to be disclosed in advance, and the exclusive right of the experiment data is protected; meanwhile, the larger the experiment disclosure range is, the larger the weight of the experiment preparation stage data is, and the higher the proportion of the experiment data in the preparation stage is, the error of judgment by human subjective factors is prevented from reducing the experiment grade, so that the experiment data is better protected, and the experiment data is protected while the teaching resource opening is realized.

Furthermore, different correction modes are set for different experimental grades, and when the corrected experimental score is different from the experimental preset score E in the same grade, the experimental data processing module generates an experiment grade regulation report; when the level adjustment is carried out on the experiment with the preset experiment level of S level, two-level password verification is required, the character accuracy of the password is verified at the first level, and the time interval for inputting the accurate password is verified at the second level; when the level adjustment is carried out on the experiments with the preset experiment level being A level, B level or C level, the first-level password verification is required; when the preset experiment level is adjusted to be D level, password verification is not needed. And determining a grade adjustment verification mode according to the experiment grade, and enhancing the safety of the experiment grade adjustment.

Drawings

FIG. 1 is a flow chart of experiment level adjustment of the experimental teaching data management platform according to the present invention;

fig. 2 is a schematic diagram of an experimental teaching data management platform architecture.

Detailed Description

In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.

It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer" are based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the 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, it should be noted that, in the description of the present invention, unless otherwise explicitly specified and limited, the terms "mounted", "connected" and "connected" are to be construed broadly, e.g., as being capable of being fixedly connected, detachably connected, or integrally connected; can be a mechanical connection, but also an electrical connection; can be directly connected or indirectly connected through intervening media, and can communicate between the two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

Referring to fig. 1, which is a flowchart illustrating an experiment grade adjustment process of the experiment teaching data management platform according to the present invention, when the experiment grade is determined by using the experiment teaching data management platform, a preset experiment score is first input into the management platform to determine an initial experiment grade, then the completed experiment data is integrated, the integrated experiment data is compared with an experiment database, and an experiment data contact ratio is calculated; and comparing the calculated contact ratio with a preset contact ratio, and correcting the experiment score according to the contact ratio, thereby further adjusting the experiment grade to determine the experiment disclosure grade. When the experiment grade is adjusted, different initial grades are provided with different adjusting and verifying modes.

The invention provides an experimental teaching data management platform, which comprises: the system comprises an infrastructure, a basic service, an extended service, a business system and an information system experimental data interaction interface;

Specifically, the scoring level matrix of the experimental data processing module comprises a first preset scoring level parameter E1, a second preset scoring level parameter E2, a third preset scoring level parameter E3 and a fourth preset scoring level parameter E4, wherein the scoring level parameters are sequentially increased;

Specifically, a coincidence degree parameter matrix group F0 and a coincidence degree pair experiment score compensation parameter matrix G0 are arranged in the experiment data processing module;

Specifically, when the preset experiment grade of the single experiment X is S grade, the experiment data processing module selects G1 from a coincidence degree pair experiment score compensation parameter matrix G0 as a coincidence degree pair experiment score compensation parameter; the business system calculates the contact ratio Fx of the experimental data and the experimental data of the joint calibration level experimental database and the contact ratio Fz of the experimental data and the experimental data of the social experimental database, and transmits the calculation result to the experimental data processing module, and the experimental data processing module respectively compares the Fx and the Fz with the internal parameters of the Fs matrix:

when Fx > Fs2, Fz > Fs2, E' = E-G1 x (Fz-Fs 2) -G1 x (Fx-Fs 2).

Specifically, when the preset experiment grade of the independent experiment X is a grade a, the experiment data processing module selects G2 from a coincidence degree pair experiment scoring compensation parameter matrix G0 as a coincidence degree pair experiment scoring compensation parameter, the business system calculates the coincidence degree Fx of the experiment data and the experiment data of the joint calibration level experiment database, the coincidence degree Fz of the experiment data and the experiment data of the social experiment database, and transmits the calculation result to the experiment data processing module, and the experiment data processing module compares the Fx and the Fz with the parameters in the Fa matrix respectively:

e' = E + G2 x (Fa 1-Fx) + G2 x (Fa 1-Fz) when Fx ≦ Fa1, Fz ≦ Fa 1;

e' = E + G2 × (Fa 1-Fx) when Fx ≦ Fa1, Fa1 < Fz ≦ Fa 2;

e' = E + G2 × (Fa 1-Fz) when Fz ≦ Fa1, Fa1 < Fx ≦ Fa 2;

e' = E + G2 × (Fa 1-Fx) -G2 × (Fz-Fa 2) when Fx ≦ Fa1, Fz > Fa 2;

e' = E + G2 x (Fa 1-Fz) -G2 x (Fx-Fa 2) when Fz ≦ Fa1, Fx > Fa 2;

e' = E-G2 × (Fx-Fa 2) when Fx > Fa2, Fa1 < Fz ≦ Fa 2;

e' = E-G2 × (Fz-Fa 2) when Fa1 < Fx ≦ Fa2, Fz > Fa 2;

e' = E-G2 × (Fz-Fa 2) -G2 × (Fx-Fa 2) when Fx > Fa2, Fz > Fa 2;

Specifically, when the preset experiment grade of the single experiment X is grade D, the experiment data processing module selects G5 from the overlap ratio pair experiment score compensation parameter matrix G0 as an overlap ratio pair experiment score compensation parameter; the business system calculates the contact ratio Fx of the experimental data and the experimental data of the joint calibration level experimental database and the contact ratio Fz of the experimental data and the experimental data of the social experimental database, and transmits the calculation result to the experimental data processing module, and the experimental data processing module respectively compares the Fx and the Fz with the internal parameters of the Fd matrix:

when Fx ≦ Fd1, Fz > Fd1, E' = E + G5 × (Fd 1-Fx);

when Fz ≦ Fd1, Fx > Fd1, E' = E + G5 × (Fd 1-Fz).

Specifically, when the experimental data processing module recalculates the score as E ', the experimental data processing module compares E' with the parameters in the E0 matrix:

Specifically, when the experimental data of the single experiment X is subjected to the calculation of the coincidence degree with the experimental data of the joint calibration stage experimental database, the experimental data of the single experiment X is divided into three parts, including experiment preparation stage data P1, experiment progress stage data P2 and experimental result data P3, the coincidence degree of each stage is calculated respectively, and the overall coincidence degree of the experimental data and the experimental data of the joint calibration stage experimental database is calculated through the coincidence degree of each stage, wherein the coincidence degree weight of the experiment preparation stage data P1 is q1, the coincidence degree weight of the experiment progress stage data P2 is q2, and the coincidence degree weight of the experimental result data P3 is q3;

when experiment X is preset to be S-class experiment, q1=0.3, q2=0.3, q3= 0.4;

when experiment X is preset to be a-class experiment, q1=0.3, q2=0.4, q3= 0.3;

when the experiment data processing module calculates the coincidence degree of the experiment data of the experiment X and the experiment data of the joint calibration grade experiment database, the business system respectively calculates the coincidence degree Fx1 of the experiment preparation stage data P1 and the experiment data of the joint calibration grade experiment database, the coincidence degree Fx2 of the experiment implementation stage data P2 and the experiment data of the joint calibration grade experiment database, and the coincidence degree Fx3 of the experiment result data P3 and the experiment data of the joint calibration grade experiment database;

the experimental data processing module calculates the coincidence ratio Fx of the experimental data of experiment X and the experimental data of the joint calibration grade experimental database, wherein Fx = Fx1 × q1 + Fx2 × q2 + Fx3 × q3;

Specifically, for experiment X, a level adjustment password H0, H0= { H1, H2, H3, H4 … … } and an input duration interval matrix Th, Th = { Th1, Th2, Th3 … … } are set in the experiment data processing module;

when the character accuracy of the password is verified, the experimental data processing module records that the input characters are the password H1, H1= { H1 ', H2 ', H3 ', H4 ' … … }, records the input duration interval matrix Th ' Th ' = { Th1 ', Th2 ', Th3 ' … … }, compares the characters in H1 with the characters in H0 one by one, and judges that the first-level verification is passed when all the characters in H1 are consistent with all the characters in H0; when the characters in H1 do not accord with the characters in H0, the experimental data processing module judges that the first-level verification is not passed, and the experimental data processing module provides an instruction of re-inputting the password; when the first-level verification fails for three times, the experiment data processing module judges that the password input person is not the experiment responsible person, and cannot perform grade adjustment on the experiment X within the preset time Tx;

when adjusting the preset experiment level A, B or C level experiments, the character accuracy of the first level verification password is required to be verified; when the experiment of the preset experiment grade D level is adjusted, the password is not required to be input, and the experiment data processing module automatically adjusts. Please refer to fig. 2, which is a schematic diagram of an experimental teaching data management platform architecture, the present invention provides an experimental teaching data management platform, comprising: the system comprises five parts of an infrastructure, a basic service, an extended service, a business system and an information system experimental data interaction interface.

The infrastructure is: providing an operating environment for an experiment teaching data management platform, wherein the operating environment comprises an application server, an experiment database server, a file server, a switch, a network bandwidth and firewall security component; the application server is used for deploying and building application services; the experiment database server provides experiment data storage services for the application, wherein the experiment data storage services comprise relational experiment database and non-object relational experiment database services, and the deployment of some experiment data cache service components; the file server is used for providing a distributed file system for the experiment teaching data management platform and storing experiment resources and teaching files generated in the experiment teaching process; the switch and the network bandwidth are used for ensuring that the network bandwidth is provided so as to ensure that the experimental teaching data management platform can be accessed in a local area network or a wide area network and ensure that experimental resources can be rapidly transmitted in the network; the firewall security component provides basic information security guarantee for the experimental teaching data management platform; the method provides a deployment environment and network support for an experimental teaching data management platform, and ensures safe operation;

the basic service comprises the following steps: the system comprises organization management, user management, identity authentication, identity authorization, website management, system monitoring, educational administration management, an experimental data center, a message task and experimental course management basic service functions; the service function is the most basic and universal function, and the function is used for enabling the experiment teaching service and is the basis for enabling the experiment teaching data management platform to be transversely suitable for various colleges; based on the basic service, the experimental teaching service only needs to pay attention to the service flow, and the construction of an experimental teaching platform can be realized without paying attention to the basic service function;

the service system: the system is a transversely-expanded experimental teaching management service platform, and comprises a PC web edition and a mobile terminal app form, and the service system only needs to pay attention to respective teaching processes and does not need to pay attention to general basic service construction; the method can be realized in an independent service form or a modular mode on a basic service platform, and an independent experiment database is built for storing business experiment data;

An experiment teaching data management platform is designed according to the characteristics of experiment teaching and related technical requirements, and provides an experiment teaching solution in a distributed architecture.

Constructing an operation environment of an experiment teaching data management platform: and preparing an entity server, an NAS storage and a switch which are well configured. According to the configuration requirements of each part of the experimental teaching data management platform architecture on the server, a virtualized server is distributed through a virtualized platform tool such as Vmware; the NAS storage is used for backing up important system experiment data; the switch enables the linking of the server with the local area network and the internet.

In order to ensure the safety of the server, some safety components of a firewall are installed on the server, and the firewall is ensured to be in an open state all the time.

And a central experiment database is built and interconnected with each experiment teaching service system, the central experiment database stores and supports an experiment teaching data management platform to operate, experiment course information, user related information and website information are stored, and teaching experiment data generated in the teaching process are stored and collected.

The experimental file server is built, the distributed file management system is installed, fastDFS and experimental teaching resources are installed in the embodiment, the experimental file server is developed based on the unity technology, the size of each resource is from hundreds of megabits to G, and the requirements on reading and writing of the server and network bandwidth are high.

The network cache CDN is arranged at the relevant nodes of each laboratory and each student bedroom, the repeated propagation of redundant experimental data in the network is reduced through the network cache technology, the repeated propagation is minimized, and the wide area is converted into local or nearby cache.

The design of the experimental teaching data management platform is developed in a B/S mode, and the actual business logic realization is completed by adopting a classic MVC mode.

The basic service and the business system are both developed by adopting a classic MVC mode, and the adopted research and development technology stacks are consistent. In the MVC mode, M refers to the service model, V refers to the user interface, and C is the control layer. The MVC pattern technology stack adopted in this embodiment is spring boot + spring jpa + freemarker.

The V layer is a presentation layer, is a user interface, supports a PC and a mobile terminal user terminal, and is realized through html + css + js or android and ios front-end technology development. When a user, the user group at the position is a teacher and a student in a school, through operating a performance layer of the experimental teaching data management platform, a request can be sent to a server through a terminal PC (personal computer) version browser or a mobile terminal APP, the server responds to the request, and information which the user wants to obtain is displayed to the user.

The embodiment adopts a three-layer architecture to realize the design and implementation of the whole software architecture, wherein the three layers are a web layer, a business logic layer and an experimental data access layer. The web layer carries out page rendering through a freemarker, and page layout is realized through html + css + js; the business logic layer does not comprise java webAPI and only concerns business logic processing; the experimental data access layer encapsulates experimental data access details and is realized through spring data jpa + java bean.

And the identity authentication and the identity authorization of the basic service layer are realized by using a spring security framework.

The extension service is a key of an experiment teaching data management platform, and the extension of the transverse experiment teaching system is realized through the extension service based on the architecture basic service. Providing service for the extended service in a restFul experiment data interface mode, and realizing the identity authentication and identity authorization of a service system through unified identity authentication and a single login interface; the service center provides a uniform entrance and a uniform construction style for all the transversely-expanded service systems, application management is provided for the expansion of each service system based on basic service, APPid is provided for each application after the service center creates the application, and each service system is convenient to call the basic service to realize the construction of an experimental teaching data management platform; the calling service is an experiment data interface required by a series of experiment teaching management processes, and comprises an experiment course calling interface, a message task communication interface, a teacher and student list information interface participating in teaching and an experiment teaching process monitoring experiment data interface.

Because of the particularity of experiment teaching, how the experiment teaching data management platform is compatible with different disciplines and specialities, experiment resources realized by different manufacturers and different research and development technologies are considered first. The invention relates to a teaching process of an experiment teaching data management platform compatible with different disciplines, which solves relevant problems by transversely expanding an experiment teaching process, and solves the problem of compatibly applying the rest experiment resources realized by different manufacturers and different research and development technologies to teaching by a remote technology, an experiment data stream transmission technology and a network cache technology provided by an expansion service, wherein the network cache technology is introduced in implementation, and the remote technology is used for realizing the access of the experiment resources through a webpage by java remote desktop calling and a technology of introducing unity rendering into an html5 experiment data stream aiming at the experiment resources of a single edition or a client.

So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the invention, a person skilled in the art can make the same changes or substitutions on the related technical features, and the technical solutions after the changes or substitutions will fall within the protection scope of the invention.

Claims

1. An experiment teaching data management platform, comprising: the system comprises an infrastructure, a basic service, an extended service, a business system and an information system experimental data interaction interface;

when the business system carries out level adjustment on an experiment with a preset experiment level of S level, two-level password verification is required, the character accuracy of the password is verified at the first level, the input time interval between the characters of the input accurate password is verified at the second level, and when the experiment with the preset experiment level of A level, B level or C level is subjected to level adjustment, one-level password verification is required; when the experiment with the preset experiment level of D level is subjected to level adjustment, password verification is not required;

the scoring grade matrix of the experimental data processing module comprises a first preset scoring grade parameter E1, a second preset scoring grade parameter E2, a third preset scoring grade parameter E3 and a fourth preset scoring grade parameter E4, and the scoring grade parameters are sequentially increased;

when E is larger than E4, the experiment data processing module presets the experiment as an S-level experiment;

a contact ratio parameter matrix group F0 and a contact ratio pair experiment scoring compensation parameter matrix G0 are arranged in the experiment data processing module;

when any single experiment X is finished, the business system integrates the experimental data of the single experiment X, compares the experimental data with the joint calibration level experimental database and the social experimental database respectively, calculates the contact ratio of the experimental data, corrects the preset score E of the experiment according to the contact ratio, and judges the final open level of the experiment according to the corrected result;

when the preset experiment grade of the single experiment X is S grade, the experiment data processing module selects G1 from a coincidence degree pair experiment scoring compensation parameter matrix G0 as a coincidence degree pair experiment scoring compensation parameter; the business system calculates the contact ratio Fx of the experimental data and the experimental data of the joint calibration level experimental database and the contact ratio Fz of the experimental data and the experimental data of the social experimental database, and transmits the calculation result to the experimental data processing module, and the experimental data processing module respectively compares the Fx and the Fz with the internal parameters of the Fs matrix:

e' = E-G1 × (Fz-Fs 2) -G1 × (Fx-Fs 2) when Fx > Fs2, Fz > Fs 2;

when the preset experiment grade of the independent experiment X is A grade, the experiment data processing module selects G2 from a coincidence degree to experiment scoring compensation parameter matrix G0 as a coincidence degree to experiment scoring compensation parameter, the business system calculates the coincidence degree Fx of the experiment data and the experiment data of the joint calibration grade experiment database, the coincidence degree Fz of the experiment data and the experiment data of the social experiment database, and transmits the calculation result to the experiment data processing module, and the experiment data processing module respectively compares the Fx and the Fz with the parameters in the Fa matrix:

e' = E + G2 x (Fa 1-Fx) + G2 x (Fa 1-Fz) when Fx ≦ Fa1, Fz ≦ Fa 1;

e' = E + G2 × (Fa 1-Fx) when Fx ≦ Fa1, Fa1 < Fz ≦ Fa 2;

e' = E + G2 × (Fa 1-Fz) when Fz ≦ Fa1, Fa1 < Fx ≦ Fa 2;

e' = E + G2 × (Fa 1-Fx) -G2 × (Fz-Fa 2) when Fx ≦ Fa1, Fz > Fa 2;

e' = E + G2 x (Fa 1-Fz) -G2 x (Fx-Fa 2) when Fz ≦ Fa1, Fx > Fa 2;

e' = E-G2 × (Fx-Fa 2) when Fx > Fa2, Fa1 < Fz ≦ Fa 2;

e' = E-G2 × (Fz-Fa 2) when Fa1 < Fx ≦ Fa2, Fz > Fa 2;

e' = E-G2 × (Fz-Fa 2) -G2 × (Fx-Fa 2) when Fx > Fa2, Fz > Fa 2;

when the preset experiment grade of the independent experiment X is B grade or C grade, the experiment data processing module judges whether the preset experiment grade E is adjusted according to the operation of the A grade experiment, and when the preset experiment grade E needs to be adjusted, the preset experiment grade E is adjusted to E' according to the operation of the A grade experiment;

when the preset experiment grade of the single experiment X is grade D, the experiment data processing module selects G5 from the coincidence degree pair experiment scoring compensation parameter matrix G0 as a coincidence degree pair experiment scoring compensation parameter; the business system calculates the contact ratio Fx of the experimental data and the experimental data of the joint calibration level experimental database and the contact ratio Fz of the experimental data and the experimental data of the social experimental database, and transmits the calculation result to the experimental data processing module, and the experimental data processing module respectively compares the Fx and the Fz with the internal parameters of the Fd matrix:

when Fx ≦ Fd1, Fz > Fd1, E' = E + G5 × (Fd 1-Fx);

when Fz is not more than Fd1 and Fx is more than Fd1, E' = E + G5 x (Fd 1-Fz);

when the experimental data processing module recalculates the score as E ', the experimental data processing module compares the E' with the parameters in the E0 matrix:

when E' is less than or equal to E4, the experimental data processing module judges that the experimental grade of the experiment X is not consistent with the preset experimental grade, and the experimental data processing module generates an experiment grade adjusting report;

when the coincidence degree of the experimental data of the single experiment X and the experimental data of the joint calibration grade experimental database is calculated, dividing the experimental data of the single experiment X into three parts, including experiment preparation stage data P1, experiment progress stage data P2 and experimental result data P3, calculating the coincidence degree of each stage respectively, and calculating the overall coincidence degree of the experimental data and the experimental data of the joint calibration grade experimental database through the coincidence degree of each stage, wherein the coincidence degree weight of the experiment preparation stage data P1 is q1, the coincidence degree weight of the experiment progress stage data P2 is q2, and the coincidence degree weight of the experimental result data P3 is q3;

when experiment X is preset to be S-class experiment, q1=0.3, q2=0.3, q3= 0.4;

when experiment X is preset to be a-class experiment, q1=0.3, q2=0.4, q3= 0.3;

2. The experimental teaching data management platform of claim 1,

for experiment X, a level adjustment password H0, H0= { H1, H2, H3, H4 … … } and an input duration interval matrix Th, Th = { Th1, Th2, Th3 … … } are arranged in the experiment data processing module;