A classification and grading management method and device for simulation resources

Abstract

The present invention discloses a classification and hierarchical management method and device for simulation resources, the method comprising: obtaining attribute information and type information of each simulation resource; the type information includes shared resources and private resources; the attribute information includes integrity value, availability value, release effectiveness value, and priority value of the simulation resource; hierarchical processing is performed on the attribute information and type information of each simulation resource to obtain importance information of each simulation resource; based on the type information and importance information of each simulation resource, the simulation resource is audited to obtain an audit result set; based on the audit result set, the simulation resource is classified, stored, and published online. The present invention realizes the audit of different types of simulation resources through the classification and hierarchical management and evaluation of shared resources and private resources, and stores, shares, or publishes them according to the audit results, thereby improving the efficiency of resource use.

Description

Technical Field

[0001] The present invention relates to the field of computer simulation, and in particular to a classification and grading management method and device for simulation resources. Background Art

[0002] In the current simulation resource management, since there is no effective communication channel between simulation resources, it is easy to form simulation resource information islands. In the actual simulation operation, on the one hand, the simulation resource owner and the simulation resource user are not the same person, so the simulation personnel need to know the information of the existing simulation resources to use the simulation resources; on the other hand, simulation resource information islands will lead to redundant simulation resources, thereby increasing the waste of simulation resources.

[0003] For shared simulation resources, if the integrity and availability of the resources are not verified, the shared resources will be non-standard or even unable to be used normally, which goes against the original intention of sharing simulation resources. For simulation resources that users are concerned about, simulation resource update and upgrade messages should be sent to users in a timely manner so that users can understand the changes of simulation resources in a timely manner.

[0004] In summary, traditional simulation resource management lacks unified planning, and there is no communication channel between simulation resources, which easily forms simulation resource information islands; and there is no strict verification process for shared simulation resources, which will lead to incomplete or unavailable simulation resources; regarding the update and upgrade of simulation resources, how to send the update and upgrade information of simulation resources to users in a timely manner to achieve the rational use of simulation resources, there is also a lack of relevant technical support. Summary of the invention

[0005] The present invention mainly solves the problem that there is no communication channel between various resources in the existing simulation resource management, lacks targeted management and utilization, resulting in low utilization efficiency and circulation efficiency of simulation resources. The present invention discloses a classification and grading management method and device for simulation resources.

[0006] In a first aspect, an embodiment of the present application discloses a classification and hierarchical management method for simulation resources, including:

[0007] S1, obtaining attribute information and type information of each simulation resource; the type information includes shared resources and private resources; the attribute information includes integrity value, availability value, release effectiveness value, and priority value of the simulation resource;

[0008] S2, hierarchically processing the attribute information and type information of each simulation resource to obtain the importance information of each simulation resource;

[0009] S3, based on the type information and importance information of each simulation resource, audit the simulation resources to obtain an audit result set;

[0010] S4, based on the audit result set, the simulation resources are classified, stored and published online.

[0011] The attribute information and type information of each simulation resource are graded to obtain the importance information of each simulation resource, including:

[0012] S21, using a shared importance evaluation model, performing a hierarchical evaluation process on the simulation resources whose type information is shared resources, to obtain importance information of the shared type simulation resources;

[0013] S22, using a private importance evaluation model, performing a hierarchical evaluation process on the simulation resources whose type information is private resources, and obtaining importance information of the private type simulation resources.

[0014] Based on the type information and importance information of each simulation resource, the simulation resource is audited to obtain an audit result set, including:

[0015] S31, performing a first audit process on the importance information of each private type of simulation resource to obtain the audit results of all private types of simulation resources;

[0016] S32, performing a second audit process on the importance information of each shared type of simulation resource to obtain audit results of all shared types of simulation resources;

[0017] S33, the audit results of all private types of simulation resources and the audit results of all shared types of simulation resources are merged to obtain an audit result set.

[0018] The first review process includes:

[0019] Determine whether the importance information of the private type simulation resource is greater than a set first importance threshold, and obtain a first determination result;

[0020] If the first judgment result is greater than, setting the audit result of the private type of simulation resource to be added to the shared simulation resource library;

[0021] If the first judgment result is not greater than, continue to judge whether the importance information of the private type simulation resource is greater than a set second importance threshold, and obtain a second judgment result;

[0022] If the second judgment result is greater than, setting the audit result of the private type simulation resource to be stored in the network storage server;

[0023] If the second judgment result is not greater than, the audit result of the private type of simulation resource is set to not be processed.

[0024] The second audit process includes:

[0025] Determine whether the importance information of the shared type simulation resource is greater than a set third importance threshold, and obtain a third determination result;

[0026] If the third judgment result is greater than, setting the audit result of the shared type simulation resource to publishing the simulation resource;

[0027] If the third judgment result is not greater than, continue to judge whether the importance information of the shared type simulation resource is greater than a set fourth importance threshold, and obtain a fourth judgment result;

[0028] If the fourth judgment result is greater than, setting the audit result of the shared type simulation resource to be added to the shared simulation resource library;

[0029] If the fourth judgment result is not greater than, the audit result of the shared type simulation resource is set to not be processed.

[0030] The shared importance evaluation model includes:

[0031] Obtaining integrity value, availability value, release effectiveness value, and priority value of shared simulation resources;

[0032] Normalizing the integrity value of the shared simulation resource to obtain a normalized integrity value;

[0033] The expression of the normalization process is:

[0034] αi=Ai / (Pmax-Pmin),

[0035] Among them, P max and P min Respectively represent the upper and lower limits of the integrity value range, A i is the integrity value of the simulation resource of the i-th shared type, α i is the normalized integrity value of the simulation resource of the i-th shared type;

[0036] The value range of the availability value of all shared types of simulation resources is evenly divided into N intervals from small to large, and each interval corresponds to a preset availability factor; according to the interval to which the availability value of the shared type of simulation resource belongs, the availability factor corresponding to the shared type of simulation resource is determined; the availability factor of the i-th shared type of simulation resource is expressed as β i ;

[0037] The release effectiveness value of the shared type simulation resource is subjected to interval ratio calculation processing to obtain the interval release effectiveness value of the shared type simulation resource; the calculation expression of the interval ratio calculation processing is:

[0038]

[0039] Among them, t min and t max are the lower and upper bounds of the release effectiveness value range, respectively, i is the release effectiveness value of the simulation resource of the i-th shared type, χ i Publish the validity value for the interval of the simulation resource of the i-th shared type;

[0040] Performing quantized ratio calculation processing on the priority value of the shared type simulation resource to obtain the quantized priority value of the shared type simulation resource;

[0041] The expression for the quantization ratio calculation process is:

[0042] δ i =arctan(B i / B max ) / (π / 4),

[0043] Among them, B i is the priority value of the simulation resource of the i-th shared type, δ i is the quantized priority value of the simulation resource of the i-th shared type, B max is the maximum priority value of the shared simulation resource, and π is the pi constant;

[0044] Performing weighted sum processing on the normalized integrity value, availability factor, interval release effectiveness value, and quantized priority value of each shared type of simulation resource to obtain importance information of the shared type of simulation resource;

[0045] The expression of the weighted summation process is:

[0046] η i =w1α i +w2β i +w3χ i +w4δ i ,

[0047] Among them, η i is the importance information of the ith shared type of simulation resource, w1, w2, w3, and w4 are the weights of the integrity value, availability value, release effectiveness value, and priority value, respectively.

[0048] The private importance evaluation model includes:

[0049] Obtain the integrity value, availability value, release effectiveness value, and priority value of all private types of simulation resources;

[0050] A private attribute data matrix is ​​constructed by using the integrity values, availability values, release effectiveness values, and priority values ​​of all private types of simulation resources; a row vector of the private attribute data matrix is ​​the integrity value, availability value, release effectiveness value, and priority value of a private type of simulation resource;

[0051] Performing importance transformation processing on the private attribute data matrix to obtain an importance matrix;

[0052] The calculation expression of the importance transformation process is:

[0053]

[0054] In the formula, h ki represents the element in the kth row and ith column of the importance matrix H, q ki represents the i-th element of the k-th row of the private attribute data matrix, m and n are the row dimension and column dimension of the private attribute data matrix;

[0055] Performing cross-correlation calculation processing on row vectors of the importance matrix to obtain a cross-correlation matrix;

[0056] Decomposing the cross-correlation matrix to obtain a feature matrix;

[0057] The elements of the diagonal vector of the characteristic matrix are determined to be the importance information of all private types of simulation resources; the i-th element of the diagonal vector is the importance information of the i-th private type of simulation resource.

[0058] According to a second aspect of an embodiment of the present invention, a classification and grading management device for simulation resources is disclosed, the device comprising:

[0059] A memory storing executable program code;

[0060] a processor coupled to the memory;

[0061] The processor calls the executable program code stored in the memory to execute the classification and grading management method of simulation resources.

[0062] According to a third aspect of an embodiment of the present invention, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the classification and grading management method of simulation resources.

[0063] According to a fourth aspect of the embodiments of the present invention, an information data processing terminal is disclosed, and the information data processing terminal is used to implement the classification and grading management method of simulation resources.

[0064] The beneficial effects of the present invention are:

[0065] The present invention realizes the review of different types of simulation resources through the classification and classification management evaluation of shared resources and private resources, and stores, shares or publishes them according to the review results, thereby improving the resource utilization efficiency.

[0066] The present invention avoids the phenomenon of simulation resource information islands by sharing simulation resources, thereby improving the utilization rate of simulation resources; customizes the simulation resource approval process according to different simulation resource types, and ensures the integrity and availability of shared simulation resources through a strict approval process; the present invention realizes communication between resource owners and users through a publishing and subscription model, thereby improving the flexibility and reusability of simulation resources.

[0067] The present invention establishes a shared importance evaluation model and a private importance evaluation model to perform hierarchical evaluation processing on simulation resources of different types of information, thereby providing a basis for efficient utilization of subsequent resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 1 is a flow chart for implementing the method of the present invention;

[0069] Figure 2 This is a common user processing flow chart of Embodiment 2 of the present invention;

[0070] Figure 3 This is a flowchart of the reviewer processing in Embodiment 2 of the present invention;

[0071] Figure 4 This is a process flow chart of a system administrator according to the second embodiment of the present invention. DETAILED DESCRIPTION

[0072] In order to better understand the content of the present invention, two embodiments are given here.

[0073] Figure 1 1 is a flow chart for implementing the method of the present invention; Figure 2 This is a common user processing flow chart of Embodiment 2 of the present invention; Figure 3 This is a flowchart of the reviewer processing in Embodiment 2 of the present invention; Figure 4 This is a process flow chart of a system administrator according to the second embodiment of the present invention.

[0074] Embodiment 1:

[0075] Aiming at the problem that there is no communication channel between various resources in the existing simulation resource management, lacks targeted management and utilization, resulting in low simulation resource utilization efficiency and circulation efficiency, the present invention discloses a classification and grading management method and device for simulation resources.

[0076] In a first aspect, an embodiment of the present application discloses a classification and hierarchical management method for simulation resources, including:

[0077] S1, obtaining attribute information and type information of each simulation resource; the type information includes shared resources and private resources; the attribute information includes integrity value, availability value, release effectiveness value, and priority value of the simulation resource;

[0078] S2, hierarchically processing the attribute information and type information of each simulation resource to obtain the importance information of each simulation resource;

[0079] S3, based on the type information and importance information of each simulation resource, audit the simulation resources to obtain an audit result set;

[0080] S4, based on the audit result set, the simulation resources are classified, stored and published online.

[0081] The integrity value of the simulation resource refers to the integrity value obtained by comparing the software code corresponding to the simulation resource with the standard code, which can be obtained by dividing the number of missing codes in the simulation code by the total number of codes in the standard code;

[0082] The availability value refers to the ratio of the portion of simulation resources that can be directly used for simulation experiments without debugging to the total amount of simulation resources;

[0083] The release effectiveness value refers to the difference between the release time of the simulation resource and the required release time;

[0084] The priority value refers to the urgency and replaceability of the simulation resource in the simulation process. If the simulation resource is missing and the simulation system cannot run, the priority value is 1.

[0085] The attribute information and type information of each simulation resource are graded to obtain the importance information of each simulation resource, including:

[0086] S21, using a shared importance evaluation model, performing a hierarchical evaluation process on the simulation resources whose type information is shared resources, to obtain importance information of the shared type simulation resources;

[0087] S22, using a private importance evaluation model, performing a hierarchical evaluation process on the simulation resources whose type information is private resources, to obtain importance information of the private type simulation resources;

[0088] Based on the type information and importance information of each simulation resource, the simulation resource is audited to obtain an audit result set, including:

[0089] S31, performing a first audit process on the importance information of each private type of simulation resource to obtain the audit results of all private types of simulation resources;

[0090] S32, performing a second audit process on the importance information of each shared type of simulation resource to obtain audit results of all shared types of simulation resources;

[0091] S33, fusing the audit results of all private simulation resources and the audit results of all shared simulation resources to obtain an audit result set;

[0092] The classification storage and online publishing of simulation resources based on the audit result set includes:

[0093] For simulation resources whose audit results indicate that they should be added to a private simulation resource library, the simulation resources are added to the private simulation resource library;

[0094] For the simulation resources that the audit result indicates are to be stored in the network storage server, storing the simulation resources in the network storage server;

[0095] For simulation resources whose audit results are to publish simulation resources, the simulation resources are published online;

[0096] The online publishing can be published on a simulation network platform through communication middleware.

[0097] For simulation resources whose audit results indicate that they should be added to a shared simulation resource library, the simulation resources are added to the shared simulation resource library;

[0098] The first review process includes:

[0099] Determine whether the importance information of the private type simulation resource is greater than a set first importance threshold, and obtain a first determination result;

[0100] If the first judgment result is greater than, setting the audit result of the private type of simulation resource to be added to the shared simulation resource library;

[0101] If the first judgment result is not greater than, continue to judge whether the importance information of the private type simulation resource is greater than a set second importance threshold, and obtain a second judgment result;

[0102] If the second judgment result is greater than, setting the audit result of the private type simulation resource to be stored in the network storage server;

[0103] If the second judgment result is not greater than, setting the audit result of the private type simulation resource to not be processed;

[0104] The second audit process includes:

[0105] Determine whether the importance information of the shared type simulation resource is greater than a set third importance threshold, and obtain a third determination result;

[0106] If the third judgment result is greater than, setting the audit result of the shared type simulation resource to publishing the simulation resource;

[0107] If the third judgment result is not greater than, continue to judge whether the importance information of the shared type simulation resource is greater than a set fourth importance threshold, and obtain a fourth judgment result;

[0108] If the fourth judgment result is greater than, setting the audit result of the shared type simulation resource to be added to the shared simulation resource library;

[0109] If the fourth judgment result is not greater than, setting the audit result of the shared type simulation resource to not be processed;

[0110] The shared importance evaluation model includes:

[0111] Obtaining integrity value, availability value, release effectiveness value, and priority value of shared simulation resources;

[0112] Normalizing the integrity value of the shared simulation resource to obtain a normalized integrity value;

[0113] The expression of the normalization process is:

[0114] αi=Ai / (Pmax-Pmin),

[0115] Among them, P max and P min Respectively represent the upper and lower limits of the integrity value range, A i is the integrity value of the simulation resource of the i-th shared type, α i is the normalized integrity value of the simulation resource of the i-th shared type;

[0116] The value range of the availability value of all shared types of simulation resources is evenly divided into N intervals from small to large, and each interval corresponds to a preset availability factor; according to the interval to which the availability value of the simulation resource belongs, the availability factor corresponding to the shared type of simulation resource is determined; the availability factor of the i-th shared type of simulation resource is expressed as β i ;

[0117] The release effectiveness value of the shared type simulation resource is subjected to interval ratio calculation processing to obtain the interval release effectiveness value of the shared type simulation resource; the calculation expression of the interval ratio calculation processing is:

[0118]

[0119] Among them, t min and t max are the lower and upper bounds of the release effectiveness value range, respectively, i is the release effectiveness value of the simulation resource of the i-th shared type, χ i Publish the validity value for the interval of the simulation resource of the i-th shared type;

[0120] Performing quantized ratio calculation processing on the priority value of the shared type simulation resource to obtain the quantized priority value of the shared type simulation resource;

[0121] The expression for the quantization ratio calculation process is:

[0122] δ i =arctan(B i / B max ) / (π / 4),

[0123] Among them, B i is the priority value of the simulation resource of the i-th shared type, δ i is the quantized priority value of the simulation resource of the i-th shared type, B max is the maximum priority value of the shared simulation resource, and π is the pi constant;

[0124] Performing weighted sum processing on the normalized integrity value, availability factor, interval release effectiveness value, and quantized priority value of each shared type of simulation resource to obtain importance information of the shared type of simulation resource;

[0125] The expression of the weighted summation process is:

[0126] η i =w1α i +w2β i +w3χ i +w4δ i ,

[0127] Among them, η i is the importance information of the ith shared type of simulation resource, w1, w2, w3, and w4 are the weights of the integrity value, availability value, release effectiveness value, and priority value, respectively.

[0128] The private importance evaluation model includes:

[0129] Obtain the integrity value, availability value, release effectiveness value, and priority value of all private types of simulation resources;

[0130] A private attribute data matrix is ​​constructed by using the integrity values, availability values, release effectiveness values, and priority values ​​of all private types of simulation resources; a row vector of the private attribute data matrix is ​​the integrity value, availability value, release effectiveness value, and priority value of a private type of simulation resource;

[0131] Performing importance transformation processing on the private attribute data matrix to obtain an importance matrix;

[0132] The calculation expression of the importance transformation process is:

[0133]

[0134] In the formula, h ki represents the element in the kth row and ith column of the importance matrix H, q ki represents the i-th element of the k-th row of the private attribute data matrix, m and n are the row dimension and column dimension of the private attribute data matrix;

[0135] Performing cross-correlation calculation processing on the row vectors of the importance matrix to obtain a cross-correlation matrix; the elements of the i-th row and j-th column of the cross-correlation matrix are cross-correlation values ​​between the i-th row vector and the j-th row vector of the importance matrix;

[0136] Decomposing the cross-correlation matrix to obtain a feature matrix;

[0137] Determine the elements of the diagonal vector of the feature matrix as the importance information of all private types of simulation resources; the i-th element of the diagonal vector is the importance information of the i-th private type of simulation resource;

[0138] The expression of the decomposition process is:

[0139] Y=UAV,

[0140] Wherein, U is a left decomposition matrix, Y is a cross-correlation matrix, A is a characteristic matrix, V is a right decomposition matrix, U and V are both orthogonal matrices, and A is a diagonal matrix; the decomposition process may adopt an eigenvalue decomposition method or a QR decomposition method;

[0141] The element of the i-th row and j-th column of the cross-correlation matrix is ​​the cross-correlation value between the i-th row vector and the j-th row vector of the importance matrix;

[0142] The value of the third importance threshold is greater than the fourth importance threshold;

[0143] The value of the first importance threshold is greater than the second importance threshold;

[0144] The simulation resource is a server node or a software simulation module in a computer simulation system;

[0145] According to a second aspect of an embodiment of the present invention, a classification and grading management device for simulation resources is disclosed, the device comprising:

[0146] A memory storing executable program code;

[0147] a processor coupled to the memory;

[0148] The processor calls the executable program code stored in the memory to execute the classification and grading management method of simulation resources.

[0149] According to a third aspect of an embodiment of the present invention, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the classification and grading management method of simulation resources.

[0150] According to a fourth aspect of the embodiments of the present invention, an information data processing terminal is disclosed, and the information data processing terminal is used to implement the classification and grading management method of simulation resources.

[0151] Embodiment 2:

[0152] The technical solution adopted by the present invention is: an implementation method for simulation resource management, including an implementation method for a shared simulation resource library, an implementation method for a private simulation resource library, an implementation method for a simulation resource approval process, and an implementation method for system management.

[0153] The shared simulation resource library is the approved and published simulation resources, which are available for all personnel to view and download; the private simulation resource library is the resources downloaded by individuals or from the shared resource library, which are only available for oneself to view and manage; the simulation resource approval process setting is the system administrator customizing the resource approval process and approval personnel according to the type of simulation resources and the importance of the resources; system management mainly includes the setting of user permissions, the management of the entire life cycle of simulation resources, and the statistical analysis of simulation resources.

[0154] First, ordinary users log in to the system and enter their personal private simulation resource library. On the one hand, they can manage simulation resources, customize resource directories according to the type of simulation resources, support multi-level construction, and provide functions such as uploading and downloading various types of simulation resources. Users can share private resources, and the system automatically sets up an approval process based on the type of shared resources. On the other hand, ordinary users can subscribe to simulation resources based on the type of simulation resources and confirm the simulation resources they are interested in, so that subsequent release and upgrade messages of this type of simulation resources can be pushed to the user in a timely manner. When users download shared resources, the system will automatically record the download log to facilitate viewing and tracking the use of shared resources. This process is as follows: Figure 2 shown.

[0155] Secondly, the resource approver logs into the system to perform the approval operation. There are different approval processes and approvers for different types of simulation resources. The audit of simulation resources includes the audit of resource integrity and availability. Integrity includes whether the resource information is complete, such as: resource version number, version description, creator, creation time, etc.; after the integrity audit is passed, the availability of the resource is tested. According to the environment in which the resource is used, the availability of the simulation resource is tested with the help of simulation tools. If both the integrity and availability tests are passed, the status of the shared simulation resource is to be released; if the simulation resource audit fails, the resource approver needs to fill in the reason for failure and send a message to the user. The process is as follows: Figure 3 shown.

[0156] Finally, the system administrator views the simulation resources to be released and releases them. The system automatically pushes the news of resource release to subscribed users. The system administrator manages users and user roles, including creating new users, creating new roles, and authorizing users. According to the importance of simulation resources, the approval process can be customized, including custom process steps and custom approvers. The system administrator can view the full life cycle information of shared simulation resources, including basic information of simulation resources, approval information, and download and use of simulation resources. The system administrator can perform statistical analysis on the use of simulation resources in order to establish and improve the shared simulation resource library. This process is as follows: Figure 4 shown.

[0157] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A classification and grading management method for simulation resources, characterized in that: include: S1, obtaining attribute information and type information of each simulation resource; The type information includes shared resources and private resources; The attribute information includes integrity value, availability value, release effectiveness value, and priority value of the simulation resource; S2, hierarchically processing the attribute information and type information of each simulation resource to obtain the importance information of each simulation resource; S3, based on the type information and importance information of each simulation resource, audit the simulation resources to obtain an audit result set; S4, based on the audit result set, classify and store the simulation resources and publish them online; The attribute information and type information of each simulation resource are graded to obtain the importance information of each simulation resource, including: S21, using a shared importance evaluation model, performing a hierarchical evaluation process on the simulation resources whose type information is shared resources, to obtain importance information of the shared type simulation resources; S22, using a private importance evaluation model, performing a hierarchical evaluation process on the simulation resources whose type information is private resources, to obtain importance information of the private type simulation resources; The private importance evaluation model includes: Obtain the integrity value, availability value, release effectiveness value, and priority value of all private types of simulation resources; A private attribute data matrix is ​​constructed by using the integrity values, availability values, release effectiveness values, and priority values ​​of all private types of simulation resources; a row vector of the private attribute data matrix is ​​the integrity value, availability value, release effectiveness value, and priority value of a private type of simulation resource; Performing importance transformation processing on the private attribute data matrix to obtain an importance matrix; The calculation expression of the importance transformation process is: In the formula, h ki represents the element in the kth row and ith column of the importance matrix H, q ki represents the i-th element of the k-th row of the private attribute data matrix, m and n are the row dimension and column dimension of the private attribute data matrix; Performing cross-correlation calculation processing on row vectors of the importance matrix to obtain a cross-correlation matrix; Decomposing the cross-correlation matrix to obtain a feature matrix; The elements of the diagonal vector of the characteristic matrix are determined to be the importance information of all private types of simulation resources; the i-th element of the diagonal vector is the importance information of the i-th private type of simulation resource.

2. The classification and grading management method for simulation resources according to claim 1, characterized in that: Based on the type information and importance information of each simulation resource, the simulation resource is audited to obtain an audit result set, including: S31, performing a first audit process on the importance information of each private type of simulation resource to obtain the audit results of all private types of simulation resources; S32, performing a second audit process on the importance information of each shared type of simulation resource to obtain audit results of all shared types of simulation resources; S33, the audit results of all private types of simulation resources and the audit results of all shared types of simulation resources are merged to obtain an audit result set.

3. The classification and grading management method for simulation resources according to claim 2, characterized in that: The first review process includes: Determine whether the importance information of the private type simulation resource is greater than a set first importance threshold, and obtain a first determination result; If the first judgment result is greater than, setting the audit result of the private type of simulation resource to be added to the shared simulation resource library; If the first judgment result is not greater than, continue to judge whether the importance information of the private type simulation resource is greater than a set second importance threshold, and obtain a second judgment result; If the second judgment result is greater than, setting the audit result of the private type simulation resource to be stored in the network storage server; If the second judgment result is not greater than, the audit result of the private type of simulation resource is set to not be processed.

4. The classification and grading management method for simulation resources according to claim 2, characterized in that: The second audit process includes: Determine whether the importance information of the shared type simulation resource is greater than a set third importance threshold, and obtain a third determination result; If the third judgment result is greater than, setting the audit result of the shared type simulation resource to publishing the simulation resource; If the third judgment result is not greater than, continue to judge whether the importance information of the shared type simulation resource is greater than a set fourth importance threshold, and obtain a fourth judgment result; If the fourth judgment result is greater than, setting the audit result of the shared type simulation resource to be added to the shared simulation resource library; If the fourth judgment result is not greater than, the audit result of the shared type simulation resource is set to not be processed.

5. The classification and grading management method for simulation resources according to claim 1, characterized in that: The shared importance evaluation model includes: Obtaining integrity value, availability value, release effectiveness value, and priority value of shared simulation resources; Normalizing the integrity value of the shared simulation resource to obtain a normalized integrity value; The expression of the normalization process is: α i (A i / (P max -P min ), Among them, P max and P min Respectively represent the upper and lower limits of the integrity value range, A i is the integrity value of the simulation resource of the i-th shared type, α i is the normalized integrity value of the simulation resource of the i-th shared type; The value range of the availability value of all shared types of simulation resources is evenly divided into N intervals from small to large, and each interval corresponds to a preset availability factor; according to the interval to which the availability value of the shared type of simulation resource belongs, the availability factor corresponding to the shared type of simulation resource is determined; the availability factor of the i-th shared type of simulation resource is expressed as β i ; The release effectiveness value of the shared type simulation resource is subjected to interval ratio calculation processing to obtain the interval release effectiveness value of the shared type simulation resource; the calculation expression of the interval ratio calculation processing is: Among them, t min and t max are the lower and upper bounds of the release effectiveness value range, respectively, i is the release effectiveness value of the simulation resource of the i-th shared type, χ i Publish the validity value for the interval of the simulation resource of the i-th shared type; Performing quantized ratio calculation processing on the priority value of the shared type simulation resource to obtain the quantized priority value of the shared type simulation resource; The expression for the quantization ratio calculation process is: d i =arctan(B i / B max ) / (π / 4), Among them, B i is the priority value of the simulation resource of the i-th shared type, δ i is the quantized priority value of the simulation resource of the i-th shared type, B max is the maximum priority value of the shared simulation resource, and π is the pi constant; Performing weighted sum processing on the normalized integrity value, availability factor, interval release effectiveness value, and quantized priority value of each shared type of simulation resource to obtain importance information of the shared type of simulation resource; The expression of the weighted summation process is: or i =w1a i +w2β i +w3x i +w4δ i , Among them, η i is the importance information of the ith shared type of simulation resource, w1, w2, w3, and w4 are the weights of the integrity value, availability value, release effectiveness value, and priority value, respectively.

6. A classification and grading management device for simulation resources, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the classification and grading management method for simulation resources according to any one of claims 1 to 5.

7. A computer storable medium, characterized in that: The computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the classification and grading management method for simulation resources according to any one of claims 1 to 5.

8. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the classification and grading management method of simulation resources as described in any one of claims 1 to 5.

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