CN116402496A - Visual maintenance and control method and system for IT (information technology) assets - Google Patents
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Abstract
The invention discloses a visual maintenance and control method and a visual maintenance and control system for IT assets, which relate to the technical field of data processing, and comprise the following steps: acquiring IT asset information of a target enterprise; constructing a software-hardware mapping relation set; outputting a plurality of hardware reliability indexes and a plurality of software reliability indexes; performing unit division on the storage space of the visual maintenance and control platform to generate a plurality of hardware visual units and a plurality of software visual units; obtaining login verification information of a login user and obtaining a visual maintenance information set; processing the visual maintenance information set according to the reliability index mark to obtain a maintenance control scheme; and performing maintenance and control on the processed visual maintenance and protection information set according to a maintenance and control scheme. The method solves the technical problem of visual maintenance and control quality of IT assets in the prior art, and achieves the technical effects of improving the control quality and the control efficiency.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a visual maintenance and control method and system for IT assets.
Background
With the development of digital economies, IT assets become one of the important resources indispensable to the business development. With the strengthening of enterprises to monitor and manage IT assets, the traditional account book registering mode cannot meet the control requirement, visual control of assets is lacking, maintenance and control are easy to delay, and enterprises suffer economic losses. Technical problems of IT asset visualization maintenance and control quality in the prior art.
Disclosure of Invention
The application provides a visual maintenance and preservation control method and a visual maintenance and preservation control system for IT assets, which are used for solving the technical problem of visual maintenance and preservation control quality of IT assets in the prior art.
In view of the above, the present application provides a method and a system for visual maintenance and control of IT assets.
In a first aspect of the present application, there is provided a method for visual maintenance and control of IT assets, wherein the method is applied to a visual maintenance and control platform, the method comprising:
acquiring IT asset information of a target enterprise, wherein the IT asset information comprises hardware asset information and software asset information;
extracting software pairing information according to the IT asset information, and constructing a software-hardware mapping relation set;
extracting a hardware maintenance information set and a software maintenance information set according to hardware asset information and software asset information respectively, inputting the hardware maintenance information set, the software maintenance information set and the software-hardware mapping relation set into a maintenance reliability assessment model, and outputting a plurality of hardware reliability indexes and a plurality of software reliability indexes;
performing unit division of a storage space of a visual maintenance and control platform according to the hardware reliability indexes and the software reliability indexes to generate a plurality of hardware visual units and a plurality of software visual units, wherein each hardware visual unit is used for storing maintenance information of hardware, each software visual unit is used for storing maintenance information of software, and each visual unit is provided with a reliability index identifier;
obtaining login verification information of a login user, inputting the login verification information into the visual maintenance and control platform for maintenance information retrieval to obtain a visual maintenance information set;
processing the visual maintenance information set according to the reliability index mark to obtain a maintenance control scheme;
and performing maintenance and control on the processed visual maintenance information set according to the maintenance and control scheme.
In a second aspect of the present application, there is provided a visual maintenance and control system for IT assets, the system comprising:
the system comprises an asset information acquisition module, a storage module and a storage module, wherein the asset information acquisition module is used for acquiring IT asset information of a target enterprise, and the IT asset information comprises hardware asset information and software asset information;
the mapping relation construction module is used for extracting software pairing information according to the IT asset information and constructing a software-hardware mapping relation set;
the reliability index output module is used for extracting a hardware maintenance information set and a software maintenance information set according to hardware asset information and software asset information respectively, inputting the hardware maintenance information set, the software maintenance information set and the software-hardware mapping relation set into a maintenance reliability assessment model, and outputting a plurality of hardware reliability indexes and a plurality of software reliability indexes;
the visualization unit generation module is used for carrying out unit division on the storage space of the visual maintenance and control platform according to the hardware reliability indexes and the software reliability indexes to generate a plurality of hardware visualization units and a plurality of software visualization units, wherein each hardware visualization unit is used for storing maintenance information of hardware, each software visualization unit is used for storing maintenance information of software, and each visualization unit is provided with a reliability index mark;
the visual maintenance information acquisition module is used for acquiring login verification information of a login user, inputting the login verification information into the visual maintenance control platform for maintenance information retrieval and acquiring a visual maintenance information set;
the maintenance and control scheme obtaining module is used for processing the visual maintenance and control information set according to the reliability index mark to obtain a maintenance and control scheme;
and the maintenance and preservation control module is used for carrying out maintenance and preservation control on the processed visual maintenance and preservation information set according to the maintenance and preservation control scheme.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method comprises the steps of obtaining IT asset information of a target enterprise, wherein the IT asset information comprises hardware asset information and software asset information, then extracting software pairing information according to the IT asset information, constructing a software-hardware mapping relation set, extracting a hardware maintenance information set and a software maintenance information set according to the hardware asset information and the software asset information respectively, inputting the hardware maintenance information set, the software maintenance information set and the software-hardware mapping relation set into a maintenance reliability assessment model, outputting a plurality of hardware reliability indexes and a plurality of software reliability indexes, further carrying out unit division of a storage space of a visual maintenance control platform according to the plurality of hardware reliability indexes and the plurality of software reliability indexes, generating a plurality of hardware visual units and a plurality of software visual units, wherein each hardware visual unit is used for storing the maintenance information of hardware, each software visual unit is used for storing the maintenance information of software, each visual unit has a reliability index identifier, then obtaining login verification information of a login user, inputting the login information into the visual maintenance control platform for maintenance information, further carrying out maintenance control, carrying out maintenance control on the visual maintenance information according to the plurality of hardware reliability indexes and the plurality of software reliability indexes, further carrying out maintenance control on the visual maintenance control platform according to the maintenance information, and carrying out maintenance control process on the visual maintenance information, and carrying out maintenance control on the maintenance control platform according to the maintenance information. The technical effects of improving the safety and efficiency of visual maintenance and control and improving the quality of control are achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for visual maintenance and control of IT assets according to an embodiment of the present application;
FIG. 2 is a flow chart of obtaining a plurality of hardware reliability indexes in the method according to the embodiment of the present application;
fig. 3 is a schematic flow chart of obtaining Q first software dimension protection loss coefficients in the method provided in the embodiment of the present application;
fig. 4 is a schematic structural diagram of a visual maintenance and control system for IT assets according to an embodiment of the present application.
Reference numerals illustrate: the system comprises an asset information obtaining module 11, a mapping relation constructing module 12, a reliability index outputting module 13, a visualization unit generating module 14, a visualization maintenance information obtaining module 15, a maintenance control scheme obtaining module 16 and a maintenance control module 17.
Detailed Description
The application provides a visual maintenance and control method and a visual maintenance and control system for IT assets, which are used for solving the technical problem of visual maintenance and control quality of IT assets in the prior art.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
It should be noted that the terms "comprises" and "comprising," along with any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the present application provides a method for visual maintenance and control of IT assets, where the method is applied to a visual maintenance and control platform, and the method includes:
step S100: acquiring IT asset information of a target enterprise, wherein the IT asset information comprises hardware asset information and software asset information;
step S200: extracting software pairing information according to the IT asset information, and constructing a software-hardware mapping relation set;
in one possible embodiment, the target enterprise is any enterprise that requires IT asset management. And providing basic information for subsequent asset maintenance management by acquiring IT asset information in the target enterprise. The IT asset information includes hardware asset information and software asset information. Hardware asset information is information describing assets associated with physical components of computers and computer networks within a target enterprise. The software asset information is information describing a license, version of the software, use condition of the installed terminal, and the like. The description is made by corresponding conditions according to the software pairing information, i.e. the hardware terminals in which the software assets are installed. Such as the VISIO software, is installed on the design portion computer of the target enterprise. And determining the software-hardware mapping relation set according to the corresponding situation of the software and the hardware in the software pairing information. The software-hardware mapping relation set is used for laying a cushion for the influence of the hardware maintenance time limit on the follow-up analysis software maintenance time limit.
Step S300: extracting a hardware maintenance information set and a software maintenance information set according to hardware asset information and software asset information respectively, inputting the hardware maintenance information set, the software maintenance information set and the software-hardware mapping relation set into a maintenance reliability assessment model, and outputting a plurality of hardware reliability indexes and a plurality of software reliability indexes;
further, as shown in fig. 2, step S300 in the embodiment of the present application further includes:
step S310: extracting P pieces of hardware fault information, P pieces of hardware maintenance work order information and P pieces of hardware maintenance time limit information based on the hardware maintenance information set;
step S320: determining P hardware fault sources based on the P hardware fault information;
step S330: extracting P maintenance damage information according to the P hardware maintenance work order information;
step S340: inputting the P pieces of maintenance damage information, the P pieces of hardware fault sources and the P pieces of hardware maintenance time limit information into a hardware damage assessment branch in a maintenance reliability assessment model to obtain P pieces of first hardware maintenance damage coefficients;
step S350: and obtaining a plurality of hardware reliability indexes according to the P first hardware dimension protection loss coefficients.
In one possible embodiment, the hardware maintenance information set and the software maintenance information set are extracted from the hardware asset information and the software asset information by taking the maintenance information as an index. The maintenance reliability assessment model is an intelligent model for assessing the maintenance condition reliability degree of hardware and software, and comprises a hardware damage assessment branch and a software damage assessment branch. In the process of software and hardware maintenance and protection evaluation, maintenance and protection of the software and the hardware can be performed only by comprehensively considering various conditions of the software and the hardware in the use process and determining whether the maintenance and protection conditions are met or not instead of taking maintenance and protection time limit of the software and the hardware as a basis. The maintenance reliability of the software and the hardware is evaluated through the maintenance reliability evaluation model, so that a more accurate basis can be provided for the maintenance of the software and the hardware for the manager of the target enterprise, and the quality of the maintenance is improved.
In one possible embodiment, P pieces of hardware failure information, P pieces of hardware maintenance work order information, and P pieces of hardware maintenance time limit information are extracted from the hardware maintenance information set, respectively. The P pieces of hardware fault information are information describing faults of hardware after the hardware is put into use. The P pieces of hardware maintenance work order information are work order information describing the maintenance process of the hardware, and comprise the situation of troubleshooting the fault cause and maintaining and protecting the hardware due to maintenance. The P pieces of hardware maintenance time limit information are determined according to maintenance time limit in purchase information, and the time length for which maintenance protection can be performed is 5 years, 10 years and the like.
Specifically, according to the fault hardware described in the P pieces of hardware fault information, P pieces of hardware fault sources are determined, where the hardware fault sources may be a motherboard, a memory bank, a hard disk, and the like. And determining maintenance items from the P pieces of hardware maintenance work order information, and determining P pieces of maintenance damage information according to maintenance terms described by the maintenance description in the purchase information. Wherein, the maintenance damage information describes the rights consumed by maintenance. For example, the main board can be replaced only once in the maintenance clause in the purchase information, the main board can be determined to be damaged according to the hardware maintenance work order, and the main board needs to be replaced, at the moment, 10 rights and interests are shared in the maintenance clause, one right and interest is used after the main board is replaced, the corresponding hardware maintenance reliability is reduced, and the maintenance damage rate is 10%.
In one embodiment, the P first hardware dimension protection damage coefficients are obtained by inputting the P dimension protection damage information, the P hardware fault sources and the P hardware dimension protection time limit information into a hardware damage evaluation branch in a dimension protection reliability evaluation model, and calculating the hardware damage evaluation branch. And performing supervision training on a framework constructed on the basis of the BP neural network by acquiring a plurality of sample dimension protection loss information, a plurality of sample hardware fault sources, a plurality of sample hardware dimension protection time limit information and a plurality of sample first hardware dimension protection loss coefficients until training is converged, and acquiring the hardware damage evaluation branch. The first hardware maintenance damage coefficient is the damage degree of the hardware maintenance determined by combining the maintenance benefits corresponding to different hardware fault sources. Subtracting the first hardware dimension protection loss coefficient from 100% to obtain a corresponding plurality of hardware reliability indexes. The hardware reliability indexes describe the maintenance reliability degrees of the hardware, and the higher the reliability degree is, the higher the corresponding reliability index is.
Further, step S300 in the embodiment of the present application further includes:
step S360: q pieces of software maintenance time limit information are extracted from the software maintenance information set;
step S370: inputting the software-hardware mapping relation set, P pieces of hardware maintenance time limit information and Q pieces of software maintenance time limit information into a software damage assessment branch in a maintenance reliability assessment model to obtain Q pieces of first software maintenance damage coefficients;
step S380: and generating a plurality of software reliability indexes according to the Q first software maintenance damage coefficients.
Further, as shown in fig. 3, step S370 in the embodiment of the present application further includes:
step S371: traversing Q pieces of software maintenance time limit information and P pieces of hardware maintenance time limit information to carry out mapping matching based on the software-hardware mapping relation set, and obtaining Q pieces of matching hardware maintenance time limit information;
step S372: judging whether the Q pieces of software maintenance time limit information are larger than the Q pieces of matching hardware maintenance time limit information or not respectively, and if yes, adding the Q pieces of software maintenance time limit information into a loss software maintenance information set;
step S373: and inputting the loss software maintenance information set into a software damage assessment branch in a maintenance reliability assessment model to obtain Q first software maintenance damage coefficients.
Further, step S370 in the embodiment of the present application further includes:
the software damage evaluation branch comprises a software damage evaluation formula;
the software damage evaluation formula is as follows:
wherein ,
for the first hardware maintenance damage coefficient of the ith software maintenance information affected by the hardware maintenance time limit information, i is the number of the software maintenance information, i=1, 2,3 …, < >>
Is the i-th software maintenance time limit information, < ->
Is the maintenance time limit information left after the ith software maintenance information is affected by hardware, and is +.>
Is time limit information that the software corresponding to the ith software maintenance information has been used, k is the maintenance times of the software corresponding to the ith software maintenance information, and k=1, 2,3 and ….
Specifically, the Q pieces of software maintenance time limit information are information describing maintenance guarantee periods of Q pieces of software. And traversing Q pieces of software maintenance time limit information and P pieces of hardware maintenance time limit information to carry out mapping matching based on the software-hardware mapping relation set, and obtaining Q pieces of matching hardware maintenance time limit information, wherein the use of software is influenced due to the replacement of hardware. The maintenance clause of the software is registered with the hardware quantity which can be logged in by the software, when the hardware maintenance time limit of the software installation expires, the hardware will influence the software maintenance benefit when the hardware needs to be replaced in case of failure. And respectively judging whether the Q software maintenance time limit information is larger than the Q matching hardware maintenance time limit information, if so, indicating that the software maintenance time limit is influenced by the hardware maintenance time limit, and adding the corresponding software maintenance time limit into the loss software maintenance information set. Furthermore, Q first software maintenance damage coefficients are obtained by inputting the loss software maintenance information set into a software damage evaluation branch in a maintenance reliability evaluation model. The first software maintenance damage coefficient is a coefficient for describing the influence degree of the software time limit by the hardware time limit. The Q first software dimension penalty coefficients are subtracted by 100% to obtain the plurality of software reliability indexes. The higher the software maintenance reliability is, the larger the corresponding software reliability index is.
Step S400: performing unit division of a storage space of a visual maintenance and control platform according to the hardware reliability indexes and the software reliability indexes to generate a plurality of hardware visual units and a plurality of software visual units, wherein each hardware visual unit is used for storing maintenance information of hardware, each software visual unit is used for storing maintenance information of software, and each visual unit is provided with a reliability index identifier;
further, step S400 in the embodiment of the present application further includes:
step S410: constructing a cross-unit call channel between a plurality of hardware visualization units and a plurality of software visualization units according to the software-hardware mapping relation set;
step S420: and when the plurality of hardware visual units are called, a plurality of corresponding software visual units are called according to the cross-unit call channel.
In one embodiment, when a logged-in user needs to perform maintenance management on hardware, synchronous call needs to be performed because the hardware maintenance time limit affects the mapped software maintenance time limit. And constructing a cross-unit call channel between a plurality of hardware visual units and a plurality of software visual units according to the software-hardware mapping relation set, so that the software visual units can be synchronously called when the hardware visual units are called.
In one possible embodiment, the plurality of hardware visualization units and the plurality of software visualization units are obtained by equally dividing the storage space of the visualization maintenance and control platform into units and then sorting the units according to the sizes of the plurality of hardware reliability indexes and the plurality of software reliability indexes and the order of the reliability from small to large. Each hardware visualization unit is used for storing the maintenance information of the hardware, each software visualization unit is used for storing the maintenance information of the software, and each visualization unit is provided with a reliability index identifier.
Step S500: obtaining login verification information of a login user, inputting the login verification information into the visual maintenance and control platform for maintenance information retrieval to obtain a visual maintenance information set;
in one possible embodiment, the login user is a person performing visual maintenance and control on the IT assets of the target enterprise, different login users have different rights, and the retrievable maintenance information is different. The login verification information is information describing the name, department and authority of the login user, and the login verification information is input into the visual maintenance and control platform to carry out maintenance information retrieval to obtain a visual maintenance information set which can be used for asset management and control by the login user.
Step S600: processing the visual maintenance information set according to the reliability index mark to obtain a maintenance control scheme;
step S700: and performing maintenance and control on the processed visual maintenance information set according to the maintenance and control scheme.
Further, step S600 in the embodiment of the present application further includes:
step S610: acquiring a plurality of sample reliability index identifiers, a plurality of sample visual maintenance information sets and a plurality of maintenance control schemes as construction data;
step S620: performing supervision training on a framework constructed on the basis of the feedforward neural network by using the construction data until the output result reaches convergence, and obtaining a maintenance and control scheme analysis model;
step S630: and inputting the reliability index identification and the visual maintenance information set into a maintenance control scheme analysis model, and outputting a maintenance control scheme.
In one possible embodiment, the maintenance and control scheme is a management scheme for performing visual maintenance on a login user, and the management scheme comprises visual display modes of maintenance during operations such as asset addition, inventory, change and the like. The method comprises the steps of obtaining a plurality of sample reliability index identifications, a plurality of sample visual maintenance information sets and a plurality of maintenance control schemes as construction data, performing supervision training on a framework constructed based on a feedforward neural network by utilizing the construction data until an output result reaches convergence, obtaining a maintenance control scheme analysis model, inputting the reliability index identifications and the visual maintenance information sets into the maintenance control scheme analysis model, and outputting the maintenance control scheme. And then logging in the user to perform IT asset maintenance and control within the authority range according to the visual display in the maintenance and control scheme. The technical effects of improving the control quality and ensuring the data reliability are achieved.
In summary, the embodiments of the present application have at least the following technical effects:
according to the method and the system, the IT asset information of the target enterprise is acquired, the association relation between the software and the hardware is constructed, and a plurality of influencing factors of the software and hardware maintenance time limit are fully considered, so that a reliable basis is provided for maintenance and control. The intelligent degree of the maintenance management and control is improved, and the technical effect of improving the management and control efficiency is achieved.
Example two
Based on the same inventive concept as the method for visual maintenance and control of an IT asset in the foregoing embodiments, as shown in fig. 4, the present application provides a visual maintenance and control system for an IT asset, and the embodiments of the system and method in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
an asset information obtaining module 11, where the asset information obtaining module 11 is configured to obtain IT asset information of a target enterprise, where the IT asset information includes hardware asset information and software asset information;
the mapping relation construction module 12 is used for extracting software pairing information according to the IT asset information and constructing a software-hardware mapping relation set;
the reliability index output module 13 is configured to extract a hardware maintenance information set and a software maintenance information set according to hardware asset information and software asset information, input the hardware maintenance information set, the software maintenance information set and the software-hardware mapping relation set into a maintenance reliability assessment model, and output a plurality of hardware reliability indexes and a plurality of software reliability indexes;
the visualization unit generation module 14 is configured to perform unit division of the storage space of the visualization maintenance management control platform according to the multiple hardware reliability indexes and the multiple software reliability indexes, and generate multiple hardware visualization units and multiple software visualization units, where each hardware visualization unit is configured to store maintenance information of hardware, each software visualization unit is configured to store maintenance information of software, and each visualization unit has a reliability index identifier;
the visual maintenance information acquisition module 15 is used for acquiring login verification information of a login user, inputting the login verification information into the visual maintenance control platform for maintenance information retrieval, and acquiring a visual maintenance information set;
the maintenance and control scheme obtaining module 16, where the maintenance and control scheme obtaining module 16 is configured to process the visual maintenance and control information set according to the reliability index identifier to obtain a maintenance and control scheme;
and the maintenance and control module 17 is used for carrying out maintenance and control on the processed visual maintenance and control information set according to the maintenance and control scheme by the maintenance and control module 17.
Further, the reliability index output module 13 is configured to perform the following method:
extracting P pieces of hardware fault information, P pieces of hardware maintenance work order information and P pieces of hardware maintenance time limit information based on the hardware maintenance information set;
determining P hardware fault sources based on the P hardware fault information;
extracting P maintenance damage information according to the P hardware maintenance work order information;
inputting the P pieces of maintenance damage information, the P pieces of hardware fault sources and the P pieces of hardware maintenance time limit information into a hardware damage assessment branch in a maintenance reliability assessment model to obtain P pieces of first hardware maintenance damage coefficients;
and obtaining a plurality of hardware reliability indexes according to the P first hardware dimension protection loss coefficients.
Further, the reliability index output module 13 is configured to perform the following method:
q pieces of software maintenance time limit information are extracted from the software maintenance information set;
inputting the software-hardware mapping relation set, P pieces of hardware maintenance time limit information and Q pieces of software maintenance time limit information into a software damage assessment branch in a maintenance reliability assessment model to obtain Q pieces of first software maintenance damage coefficients;
and generating a plurality of software reliability indexes according to the Q first software maintenance damage coefficients.
Further, the reliability index output module 13 is configured to perform the following method:
traversing Q pieces of software maintenance time limit information and P pieces of hardware maintenance time limit information to carry out mapping matching based on the software-hardware mapping relation set, and obtaining Q pieces of matching hardware maintenance time limit information;
judging whether the Q pieces of software maintenance time limit information are larger than the Q pieces of matching hardware maintenance time limit information or not respectively, and if yes, adding the Q pieces of software maintenance time limit information into a loss software maintenance information set;
and inputting the loss software maintenance information set into a software damage assessment branch in a maintenance reliability assessment model to obtain Q first software maintenance damage coefficients.
Further, the reliability index output module 13 further includes:
the software damage evaluation branch comprises a software damage evaluation formula;
the software damage evaluation formula is as follows:
wherein ,
for the first hardware maintenance damage coefficient of the ith software maintenance information affected by the hardware maintenance time limit information, i is the number of the software maintenance information, i=1, 2,3 …, < >>
Is the i-th software maintenance time limit information, < ->
Is the maintenance time limit information left after the ith software maintenance information is affected by hardware, and is +.>
Is time limit information that the software corresponding to the ith software maintenance information has been used, k is the maintenance times of the software corresponding to the ith software maintenance information, and k=1, 2,3 and ….
Further, the visualization unit generation module 14 is configured to perform the following method:
constructing a cross-unit call channel between a plurality of hardware visualization units and a plurality of software visualization units according to the software-hardware mapping relation set;
and when the plurality of hardware visual units are called, a plurality of corresponding software visual units are called according to the cross-unit call channel.
Further, the maintenance control scheme obtaining module 16 is configured to perform the following method:
acquiring a plurality of sample reliability index identifiers, a plurality of sample visual maintenance information sets and a plurality of maintenance control schemes as construction data;
performing supervision training on a framework constructed on the basis of the feedforward neural network by using the construction data until the output result reaches convergence, and obtaining a maintenance and control scheme analysis model;
and inputting the reliability index identification and the visual maintenance information set into a maintenance control scheme analysis model, and outputting a maintenance control scheme.
It should be noted that the sequence of the embodiments of the present application is merely for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.
The specification and drawings are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (8)
1. A method for visual maintenance and control of IT assets, the method being applied to a visual maintenance and control platform, the method comprising:
acquiring IT asset information of a target enterprise, wherein the IT asset information comprises hardware asset information and software asset information;
extracting software pairing information according to the IT asset information, and constructing a software-hardware mapping relation set;
extracting a hardware maintenance information set and a software maintenance information set according to hardware asset information and software asset information respectively, inputting the hardware maintenance information set, the software maintenance information set and the software-hardware mapping relation set into a maintenance reliability assessment model, and outputting a plurality of hardware reliability indexes and a plurality of software reliability indexes;
performing unit division of a storage space of a visual maintenance and control platform according to the hardware reliability indexes and the software reliability indexes to generate a plurality of hardware visual units and a plurality of software visual units, wherein each hardware visual unit is used for storing maintenance information of hardware, each software visual unit is used for storing maintenance information of software, and each visual unit is provided with a reliability index identifier;
obtaining login verification information of a login user, inputting the login verification information into the visual maintenance and control platform for maintenance information retrieval to obtain a visual maintenance information set;
processing the visual maintenance information set according to the reliability index mark to obtain a maintenance control scheme;
and performing maintenance and control on the processed visual maintenance information set according to the maintenance and control scheme.
2. The method of claim 1, wherein the method comprises:
extracting P pieces of hardware fault information, P pieces of hardware maintenance work order information and P pieces of hardware maintenance time limit information based on the hardware maintenance information set;
determining P hardware fault sources based on the P hardware fault information;
extracting P maintenance damage information according to the P hardware maintenance work order information;
inputting the P pieces of maintenance damage information, the P pieces of hardware fault sources and the P pieces of hardware maintenance time limit information into a hardware damage assessment branch in a maintenance reliability assessment model to obtain P pieces of first hardware maintenance damage coefficients;
and obtaining a plurality of hardware reliability indexes according to the P first hardware dimension protection loss coefficients.
3. The method according to claim 2, wherein the method comprises:
q pieces of software maintenance time limit information are extracted from the software maintenance information set;
inputting the software-hardware mapping relation set, P pieces of hardware maintenance time limit information and Q pieces of software maintenance time limit information into a software damage assessment branch in a maintenance reliability assessment model to obtain Q pieces of first software maintenance damage coefficients;
and generating a plurality of software reliability indexes according to the Q first software maintenance damage coefficients.
4. A method according to claim 3, wherein the method comprises:
traversing Q pieces of software maintenance time limit information and P pieces of hardware maintenance time limit information to carry out mapping matching based on the software-hardware mapping relation set, and obtaining Q pieces of matching hardware maintenance time limit information;
judging whether the Q pieces of software maintenance time limit information are larger than the Q pieces of matching hardware maintenance time limit information or not respectively, and if yes, adding the Q pieces of software maintenance time limit information into a loss software maintenance information set;
and inputting the loss software maintenance information set into a software damage assessment branch in a maintenance reliability assessment model to obtain Q first software maintenance damage coefficients.
5. The method of claim 4, wherein the method comprises:
the software damage evaluation branch comprises a software damage evaluation formula;
the software damage evaluation formula is as follows:
wherein ,
for the first hardware dimension protection loss coefficient after the ith software dimension protection information is influenced by the hardware dimension protection time limit information, i is the quantity of the software dimension protection information, i=1,2,3…，/>
Is the i-th software maintenance time limit information, < ->
Is the maintenance time limit information left after the ith software maintenance information is affected by hardware, and is +.>
Is time limit information that the software corresponding to the ith software maintenance information has been used, k is the maintenance times of the software corresponding to the ith software maintenance information, and k=1, 2,3 and ….
6. The method of claim 1, wherein the method comprises:
constructing a cross-unit call channel between a plurality of hardware visualization units and a plurality of software visualization units according to the software-hardware mapping relation set;
and when the plurality of hardware visual units are called, a plurality of corresponding software visual units are called according to the cross-unit call channel.
7. The method of claim 1, wherein the method comprises:
acquiring a plurality of sample reliability index identifiers, a plurality of sample visual maintenance information sets and a plurality of maintenance control schemes as construction data;
performing supervision training on a framework constructed on the basis of the feedforward neural network by using the construction data until the output result reaches convergence, and obtaining a maintenance and control scheme analysis model;
and inputting the reliability index identification and the visual maintenance information set into a maintenance control scheme analysis model, and outputting a maintenance control scheme.
8. A visual maintenance and control system for IT assets, the system comprising:
the system comprises an asset information acquisition module, a storage module and a storage module, wherein the asset information acquisition module is used for acquiring IT asset information of a target enterprise, and the IT asset information comprises hardware asset information and software asset information;
the mapping relation construction module is used for extracting software pairing information according to the IT asset information and constructing a software-hardware mapping relation set;
the reliability index output module is used for extracting a hardware maintenance information set and a software maintenance information set according to hardware asset information and software asset information respectively, inputting the hardware maintenance information set, the software maintenance information set and the software-hardware mapping relation set into a maintenance reliability assessment model, and outputting a plurality of hardware reliability indexes and a plurality of software reliability indexes;
the visualization unit generation module is used for carrying out unit division on the storage space of the visual maintenance and control platform according to the hardware reliability indexes and the software reliability indexes to generate a plurality of hardware visualization units and a plurality of software visualization units, wherein each hardware visualization unit is used for storing maintenance information of hardware, each software visualization unit is used for storing maintenance information of software, and each visualization unit is provided with a reliability index mark;
the visual maintenance information acquisition module is used for acquiring login verification information of a login user, inputting the login verification information into the visual maintenance control platform for maintenance information retrieval and acquiring a visual maintenance information set;
the maintenance and control scheme obtaining module is used for processing the visual maintenance and control information set according to the reliability index mark to obtain a maintenance and control scheme;
and the maintenance and preservation control module is used for carrying out maintenance and preservation control on the processed visual maintenance and preservation information set according to the maintenance and preservation control scheme.
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