Automatic platform for IT asset life cycle management

Abstract

The invention discloses an IT asset life cycle management automation platform, which manages the whole life cycle of IT assets from purchasing, deployment, maintenance to scrapping through an automation means, a data processing module establishes a time-asset curve graph after an acquisition input module acquires data in the whole life cycle, extracts feature values based on the curve graph, and obtains the information of the IT assets. The method comprises the steps of establishing a loss change model, obtaining loss change values of assets in a full life cycle in a segmented manner, obtaining a full-cycle loss value based on a full-cycle loss formula, judging whether the assets are ecological or not in the full life cycle based on the full-cycle loss value, and completing automatic management. On the other hand, loss value segmentation obtaining is carried out on the whole life cycle based on the actual situation, the accuracy of loss value obtaining in the whole cycle is further improved through the proposal of a whole-cycle loss formula, and the overall change situation of assets is further mastered.

Description

Technical Field

[0001] The present invention relates to the fields of computer science and information technology, and in particular to an IT asset lifecycle management automation platform. Background Art

[0002] As enterprises become more and more dependent on information technology, the management of IT assets becomes increasingly complex.

[0003] Existing IT asset management platforms often require a lot of manual intervention, which is inefficient, costly and error-prone. Therefore, it is necessary to develop an automated IT asset lifecycle management platform to improve management efficiency and reduce costs and risks. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above problems existing in the existing IT asset management platform, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is to solve the problem that the existing IT asset management platform requires a lot of manual intervention, resulting in low efficiency, high cost and easy errors.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: an IT asset lifecycle management automation platform, comprising the following components: an acquisition input module, used to collect asset data throughout the entire life cycle of IT assets, and input it into the corresponding cloud storage module in sequence; a data processing module, which obtains asset data throughout the entire life cycle of IT assets from the cloud storage module and establishes a time-asset curve; a data analysis module, which is data-connected to the data processing module, extracts characteristic values ​​based on the time-asset curve, establishes a loss change model, obtains the loss change value of the asset throughout the life cycle in segments, obtains the full-cycle loss value based on the full-cycle loss formula, and determines whether the asset is ecological throughout the entire life cycle based on the full-cycle loss value to complete automated management.

[0008] As a preferred solution of the IT asset lifecycle management automation platform described in the present invention, the acquisition input module is also embedded with a data preprocessing unit, which performs data preprocessing on the asset data after acquiring the asset data in the entire life cycle; wherein the data preprocessing steps are specifically: data cleaning, data integration, outlier processing and data verification.

[0009] As a preferred solution of the IT asset lifecycle management automation platform described in the present invention, when establishing the time-asset curve, within the rated time, the uniform time change node is used as the X-axis, and the corresponding asset data is used as the Y-axis, and uniform reference points are obtained, and a smooth curve is used to connect the corresponding reference points in sequence to form the time-asset curve.

[0010] As a preferred solution of the IT asset lifecycle management automation platform described in the present invention, wherein: the data analysis module obtains the loss change value of the asset in the whole lifecycle in segments, and obtains the whole lifecycle loss value based on the whole lifecycle loss formula, which specifically includes the following steps: S1: segmenting the whole lifecycle of the asset; S2: intercepting the time-asset curve graph based on the segments, and the intercepted curves of each segment form the time-asset curve graph in chronological order; S3: establishing a whole lifecycle loss formula to obtain the whole lifecycle loss value; wherein the established whole lifecycle loss formula is specifically:

[0011] δ=0.1α1 1.23 0.7α2 1.89 0.2α3 1.34

[0012] Among them, δ is the loss value of the whole cycle, α1 is the loss change value in the first curve cycle, α2 is the loss change value in the second curve cycle, α3 is the loss change value in the third curve cycle, 0.1, 0.7 and 0.2 are cycle coefficients, and 1.23, 1.89 and 1.34 are adjustment constants.

[0013] As a preferred solution of the IT asset lifecycle management automation platform of the present invention, the loss change model constructed is specifically:

[0014]

[0015] Among them, α is the loss change value of the current segment, A1 is the asset value of the first reference point in the current segment, and A n is the asset value of the nth reference point in the current segment, n is the number of reference points, A is the asset value of the corresponding reference point in the current segment, and 0.681 and -1 are adjustment constants.

[0016] As a preferred solution of the IT asset lifecycle management automation platform described in the present invention, when determining whether an asset is ecological during its entire life cycle based on the full-cycle loss value, when the full-cycle loss value is higher than a threshold, it is determined that the asset is abnormal during operation during its entire life cycle.

[0017] As a preferred solution of the IT asset lifecycle management automation platform described in the present invention, the threshold is set to 2.56.

[0018] Beneficial effects of the present invention: The present invention provides management of the entire life cycle of IT assets from procurement, deployment, maintenance to scrapping through automated means. After the collection input module obtains data within the entire life cycle, the data processing module establishes a time-asset curve chart, extracts characteristic values ​​based on the curve chart, establishes a loss change model, obtains the loss change value of the asset throughout the life cycle in segments, obtains the full-cycle loss value based on the full-cycle loss formula, and determines whether the asset is ecological throughout the life cycle based on the full-cycle loss value to complete automated management. On the one hand, the loss change value of each segment of the asset is accurately obtained through the loss change model. On the other hand, the present invention obtains the loss value of the entire life cycle in segments based on actual conditions. The introduction of the full-cycle loss formula further improves the accuracy of the loss value acquisition within the full cycle, further grasps the overall change of the asset, and solves the problem that the existing IT asset management platform requires a lot of manual intervention, resulting in low efficiency, high cost and easy errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0020] Figure 1 This is a system module diagram of the IT asset lifecycle management automation platform provided by the present invention.

[0021] Figure 2 The data analysis module provided by the present invention obtains the loss change value of assets during the entire life cycle in segments, and a flow chart of the method for obtaining the full-cycle loss value based on the full-cycle loss formula. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0023] Existing IT asset management platforms often require a lot of manual intervention, which is inefficient, costly and error-prone. Therefore, it is necessary to develop an automated IT asset lifecycle management platform to improve management efficiency and reduce costs and risks.

[0024] Therefore, please refer to Figure 1The present invention provides an IT asset lifecycle management automation platform, including the following components:

[0025] The collection and input module 100 is used to collect asset data in the entire life cycle of IT assets and input it into the corresponding cloud storage module in sequence;

[0026] The data processing module 200 obtains the asset data of the IT asset in the whole life cycle from the cloud storage module and establishes a time-asset curve chart;

[0027] The data analysis module 300 is connected to the data processing module 200, extracts characteristic values ​​based on the time-asset curve, establishes a loss change model, obtains the loss change value of the asset throughout the life cycle in segments, obtains the full-cycle loss value based on the full-cycle loss formula, and determines whether the asset is ecological throughout the life cycle based on the full-cycle loss value, thereby completing automated management.

[0028] It should be noted that the collection of asset data by the collection input module 100 is an existing conventional input collection step, which will not be elaborated here.

[0029] Specifically, the acquisition input module 100 is also embedded with a data preprocessing unit, which obtains the asset data in the entire life cycle and performs data preprocessing on it;

[0030] Among them, the data preprocessing steps are specifically: data cleaning, data integration, outlier processing and data verification.

[0031] in:

[0032] 1. Data cleaning:

[0033] De-duplicate records: Identify and remove duplicate data entries to ensure the accuracy of the data set.

[0034] Handling missing values: Fill in or remove missing data items, which can be done using mean, median, mode, or other algorithms.

[0035] Correcting erroneous data: Identify and correct errors in data, such as illegal values, outliers, etc.

[0036] 2. Data Integration:

[0037] Merge datasets: Combine datasets from different sources into a unified format for easier analysis.

[0038] 3. Outlier processing:

[0039] Identify outliers: Use statistical methods or visualization techniques to identify outliers in the data.

[0040] Handling outliers: Decide whether to delete or correct outliers based on the situation.

[0041] 4. Data Verification:

[0042] Consistency checking: ensuring that data follows certain rules or constraints.

[0043] Data quality check: Check the completeness, accuracy, consistency, etc. of the data.

[0044] Furthermore, when establishing a time-asset curve, within the rated time, the uniform time change node is used as the X-axis, and the corresponding asset data is used as the Y-axis to obtain a uniform reference point, and a smooth curve is used to connect the corresponding reference points in sequence to form a time-asset curve.

[0045] For further information, see Figure 2 The data analysis module 300 obtains the loss change value of the asset in the whole life cycle in segments, and obtains the whole life cycle loss value based on the whole life cycle loss formula, which specifically includes the following steps:

[0046] S1: Segment the entire life cycle of assets;

[0047] S2: intercepting the time-asset curve graph based on the segmented corresponding graphs, and forming the time-asset curve graph in chronological order by intercepting the curves of each segment;

[0048] S3: Based on the actual situation, in order to improve the overall expression within the cycle, the period segment coefficient is introduced, the full-cycle loss formula is established, and the full-cycle loss value is obtained;

[0049] Among them, the full cycle loss formula established is specifically:

[0050] δ=0.1α1 1.23 0.7α2 1.89 0.2α3 1.34

[0051] Among them, δ is the loss value of the whole cycle, α1 is the loss change value in the first curve cycle, α2 is the loss change value in the second curve cycle, α3 is the loss change value in the third curve cycle, 0.1, 0.7 and 0.2 are cycle coefficients, and 1.23, 1.89 and 1.34 are adjustment constants.

[0052] Furthermore, the loss change model constructed is as follows:

[0053]

[0054] Among them, α is the loss change value of the current segment, A1 is the asset value of the first reference point in the current segment, and A n is the asset value of the nth reference point in the current segment, n is the number of reference points, A is the asset value of the corresponding reference point in the current segment, and 0.681 and -1 are adjustment constants.

[0055] Specifically, when determining whether an asset is ecological during its entire life cycle based on the full-cycle loss value, when the full-cycle loss value is higher than a threshold, it is determined that the asset is operating abnormally during its entire life cycle.

[0056] Specifically, the threshold is set to 2.56.

[0057] In order to verify the technical effect of the present invention, the following simulation experiment is now carried out:

[0058] Test verification process:

[0059] 1. Data Collection

[0060] Use the collection input module to collect data from all stages of IT asset procurement, deployment, maintenance, and retirement. This data includes but is not limited to procurement costs, maintenance costs, asset performance indicators, etc.

[0061] 2. Data Preprocessing

[0062] Clean, integrate, process outliers and verify the collected data. The specific steps are as follows:

[0063] Data cleaning: remove duplicate records, handle missing values, and correct erroneous data.

[0064] Data integration: Merge data sets from different sources into a unified format.

[0065] Outlier handling: Use statistical methods and visualization techniques to identify outliers and decide whether to remove or modify them.

[0066] Data Validation: Perform consistency checks and data quality checks.

[0067] 3. Construction of Time-Asset Curve

[0068] Based on the preprocessed data, a time-asset curve is established. Within the rated time, the uniform time change node is used as the X-axis, and the corresponding asset data is used as the Y-axis to obtain uniform reference points, and these reference points are connected using a smooth curve.

[0069] 4. Establishment of loss change model

[0070] Based on the time-asset curve, characteristic values ​​are extracted and a loss change model is established to obtain the loss change value of assets throughout their life cycle in segments.

[0071] 5. Calculation of full cycle loss value

[0072] Use the full cycle loss formula to calculate the full cycle loss value.

[0073] 6. Ecological determination

[0074] Determine whether an asset is ecological throughout its life cycle based on the full-cycle loss value.

[0075] Data Validation Form:

[0076]

[0077] in:

[0078] Asset ID: A number that uniquely identifies each asset.

[0079] Lifecycle phase: The phase an asset is in, such as procurement, deployment, maintenance, retirement, etc.

[0080] Purchase Price: The price at which the asset was purchased.

[0081] Maintenance costs: costs incurred during the maintenance phase.

[0082] Depreciation: The decrease in the value of the asset during this period.

[0083] Loss change value: The loss change value calculated based on the loss change model.

[0084] Full-cycle loss value: the cumulative loss change value up to the current life cycle stage.

[0085] The present invention provides management of the entire life cycle of IT assets from procurement, deployment, maintenance to scrapping through automated means. After the collection input module obtains data within the entire life cycle, the data processing module establishes a time-asset curve graph, extracts characteristic values ​​based on the curve graph, establishes a loss change model, obtains the loss change value of the asset within the entire life cycle in segments, obtains the full-cycle loss value based on the full-cycle loss formula, and determines whether the asset is ecological throughout the entire life cycle based on the full-cycle loss value, thereby completing automated management. On the one hand, the loss change value of each segment of the asset is accurately obtained through the loss change model. On the other hand, the present invention obtains the loss value of the entire life cycle in segments based on actual conditions. The introduction of the full-cycle loss formula further improves the accuracy of the loss value acquisition within the entire cycle, further grasps the overall change of the asset, and solves the problem that the existing IT asset management platform requires a lot of manual intervention, resulting in low efficiency, high cost and easy errors.

[0086] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. IT asset lifecycle management automation platform, characterized by: Includes the following components: A collection input module (100), used to collect asset data in the entire life cycle of IT assets and input the data into the corresponding cloud storage module in sequence; A data processing module (200) acquires asset data in the entire life cycle of IT assets from the cloud storage module and establishes a time-asset curve chart; The data analysis module (300) is connected to the data processing module (200) and extracts characteristic values ​​based on the time-asset curve diagram, establishes a loss change model, obtains the loss change value of the asset in the whole life cycle in segments, obtains the whole cycle loss value based on the whole cycle loss formula, and determines whether the asset is ecological in the whole life cycle based on the whole cycle loss value, thereby completing automated management.

2. The IT asset lifecycle management automation platform according to claim 1, characterized in that: The acquisition input module (100) is also embedded with a data preprocessing unit, which acquires asset data in the entire life cycle and performs data preprocessing on the asset data; Among them, the data preprocessing steps are specifically: data cleaning, data integration, outlier processing and data verification.

3. The IT asset lifecycle management automation platform according to claim 2, characterized in that: When establishing the time-asset curve, within the rated time, the uniform time change node is used as the X-axis, the corresponding asset data is used as the Y-axis, and the uniform reference point is obtained. The smooth curve connects the corresponding reference points in sequence to form the time-asset curve.

4. The IT asset lifecycle management automation platform according to claim 3, characterized in that: The data analysis module (300) obtains the loss change value of the asset in the whole life cycle in sections, and obtains the whole life cycle loss value based on the whole life cycle loss formula, which specifically includes the following steps: S1: Segment the entire life cycle of assets; S2: intercepting the time-asset curve graph based on the segmented graph, and the intercepted curves of each segment form the time-asset curve graph in chronological order; S3: Establish a full-cycle loss formula to obtain the full-cycle loss value; Among them, the full cycle loss formula established is specifically: δ=0.1α1 1.23 ·0.7a2 1.89 ·0.2a3 1.34 Among them, δ is the loss value of the whole cycle, α1 is the loss change value in the first curve cycle, α2 is the loss change value in the second curve cycle, α3 is the loss change value in the third curve cycle, 0.1, 0.7 and 0.2 are cycle coefficients, and 1.23, 1.89 and 1.34 are adjustment constants.

5. The IT asset lifecycle management automation platform according to claim 4, characterized in that: The loss variation model constructed is specifically as follows: Among them, α is the loss change value of the current segment, A1 is the asset value of the first reference point in the current segment, and A n is the asset value of the nth reference point in the current segment, n is the number of reference points, A is the asset value of the corresponding reference point in the current segment, and 0.681 and -1 are adjustment constants.

6. The IT asset lifecycle management automation platform according to claim 5, characterized in that: When determining whether an asset is ecological during its entire life cycle based on the full-cycle loss value, when the full-cycle loss value is higher than a threshold, it is determined that the asset is operating abnormally during its entire life cycle.

7. The IT asset lifecycle management automation platform according to claim 6, characterized in that: The threshold was set to 2.56.

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