Physical asset state evaluation method and system for material management platform

Abstract

The invention provides a physical asset state evaluation method and system for a material management platform, and belongs to the technical field of asset management, and the method specifically comprises the steps: obtaining the data size of storage data of physical assets of the material management platform, obtaining the number of data deviation assets in the material management platform and data deviation state values of different data deviation assets when it is determined that the data utilization efficiency of the material management platform meets requirements in combination with historical call data of different physical assets; when the data utilization efficiency in the material management platform is combined to determine that the material management platform needs to be optimized, the optimization target and the optimization mode of the physical assets are determined according to the deviation condition between the platform data of the information items of different physical assets in the material management platform and the real data and the historical calling data; therefore, the data utilization efficiency of the material management platform is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of asset management, and in particular relates to a physical asset status assessment method and system for a material management platform. Background Art

[0002] In order to manage the physical assets of the power grid company, the existing physical asset equipment ledger relies on the existing TMS, I6000 and other systems to carry out information maintenance. However, there are technical problems such as inconsistent standards for entering physical asset information, untimely data maintenance, and difficulty in effectively tracking the status of physical assets in real time.

[0003] Therefore, in order to solve the above technical problems, in the invention patent application CN202410547151.2 "A method and platform for physical asset information management in the communications industry", real-time tracking and processing operations are performed on physical assets, and renewable physical assets are used in a timely manner. The physical assets are quickly managed for access to the network, maintenance, scheduling, and scrapping, saving costs and improving efficiency. However, there are the following technical problems: In view of the above technical problems, the present invention provides a physical asset status assessment method and monitoring device for a material management platform. Summary of the invention

[0004] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In order to solve the above technical problems, the present invention provides the following technical solutions to achieve the purpose of the present invention: In order to solve the above technical problems, the present invention provides a physical asset status assessment method for a material management platform, which specifically includes: S1 determines the deviation between the platform data and the real data of the physical assets at different historical usage times based on the historical usage data of different physical assets in the material management platform, and uses the deviation to determine the data deviation state values ​​of different physical assets and data deviation assets. When the number of data deviation assets meets the requirements, proceed to the next step; S2 obtains the amount of data stored in the physical assets of the material management platform, and when it is determined that the data utilization efficiency of the material management platform meets the requirements in combination with the historical call data of different physical assets, proceeds to the next step; S3: obtaining the number of data deviation assets in the material management platform and the data deviation status values ​​of different data deviation assets, and when determining that the material management platform needs to be optimized in combination with the data utilization efficiency in the material management platform, proceeding to the next step; S4 determines the optimization target and optimization method of the physical assets through the deviation between the platform data and the real data of the information items of different physical assets in the material management platform and the historical call data.

[0005] The beneficial effects of the present invention are: 1. In the present invention, the amount of storage data of the physical assets of the material management platform and the historical call data are used to determine whether the data utilization efficiency of the material management platform meets the requirements, thereby avoiding the waste of data storage space of the material management platform caused by the small number of calls for physical assets with a large amount of storage data. On the basis of reducing the amount of storage data, the data utilization efficiency of the material management platform is improved.

[0006] 2. In the present invention, the optimization target of physical assets is determined by the deviation between the platform data and the actual data of the information items of different physical assets in the material management platform and the historical call data. This not only achieves the optimization of information items with less call frequency, but also achieves the optimization of information items in the material management platform with more serious deviations, thereby ensuring the accuracy of the information items of the physical assets of the material management platform and the efficiency of data utilization.

[0007] A further technical solution is that the historical usage data of the physical asset includes the historical usage times of the physical asset and the deviation between the platform data and the real data in different historical usage times.

[0008] A further technical solution is that the deviation between the platform data and the real data of the physical assets includes the number of physical assets with data deviation and information items of data deviation of different physical assets.

[0009] A further technical solution is that the physical assets include transformers, cables, relay protection equipment, testing equipment, transmission lines and signal transmission equipment.

[0010] A further technical solution is that the method for determining the data deviation state value of the physical asset is: Based on the deviation, determine the assets with data deviation in the physical assets at different historical usage times, and treat them as deviation assets; Determine the data deviation amount of different deviation assets under different historical usage times by the proportion of the number of information items of data deviation of different deviation assets, and determine the platform data error amount under different historical usage times according to the weights of the data deviation amount of different deviation assets under different historical usage times; The data deviation state value of the physical asset is determined based on the platform data error amount under different historical usage times.

[0011] A further technical solution is that the method for determining the optimization target of the physical asset is: Determine the number of information deviations of the information item of the physical asset based on the deviation between the platform data and the real data of the information item of the physical asset, and determine the data deviation coefficient of the information item of the physical asset using the number of information deviations; Determine the historical call times of the information items of the physical assets based on the historical call data of the information items of the physical assets, and determine the historical call frequency of the physical assets based on the historical call times; The optimization requirement value of the information item of the physical asset is determined by the historical call frequency and the data deviation coefficient of the information item of the physical asset, and the optimization target of the information item of the physical asset is determined based on the optimization requirement value.

[0012] A further technical solution is that the optimization method includes changing the input method, optimizing the information verification cycle and deleting information items.

[0013] A further technical solution is that when the historical call frequency of the information item is less than the preset frequency, it is determined that the information item of the physical asset is optimized by deleting the information item; When the historical call frequency of the information item is not less than the preset frequency, optimization is performed by changing the input method or optimizing the information verification cycle.

[0014] In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned method for assessing the status of physical assets for a material management platform when running the computer program.

[0015] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0018] Figure 1 It is a flow chart of a soil moisture dynamic monitoring method; Figure 2 is a flow chart of a method for determining a data deviation status value of a physical asset; Figure 3 It is a flow chart of a method for determining an optimization target of a physical asset. DETAILED DESCRIPTION

[0019] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0020] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0021] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 According to one aspect of the present invention, a physical asset status assessment method for a material management platform is provided, which specifically includes: S1 determines the deviation between the platform data and the real data of the physical assets at different historical usage times based on the historical usage data of different physical assets in the material management platform, and uses the deviation to determine the data deviation state values ​​of different physical assets and data deviation assets. When the number of data deviation assets meets the requirements, proceed to the next step; Furthermore, the historical usage data of the physical asset includes the historical usage times of the physical asset and the deviation between the platform data and the real data in different historical usage times.

[0022] It can be understood that the deviation between the platform data and the real data of the physical assets includes the number of physical assets with data deviation and information items of data deviation of different physical assets.

[0023] Specifically, the physical assets include transformers, cables, relay protection equipment, testing equipment, transmission lines and signal transmission equipment.

[0024] Specifically, Figure 2 As shown, the method for determining the data deviation state value of the physical asset is: Based on the deviation, determine the assets with data deviation in the physical assets at different historical usage times, and treat them as deviation assets; Determine the data deviation amount of different deviation assets under different historical usage times by the proportion of the number of information items of data deviation of different deviation assets, and determine the platform data error amount under different historical usage times according to the weights of the data deviation amount of different deviation assets under different historical usage times; The data deviation state value of the physical asset is determined based on the platform data error amount under different historical usage times.

[0025] Furthermore, based on the platform data error amount under different historical usage times, the data deviation state value of the physical asset is determined, specifically including: The time weight values ​​of different historical usage times are determined by the deviations between the historical moments corresponding to different historical usage times and the current moments, and the data deviation state value of the physical asset is determined based on the time weight values ​​and the platform data deviation amount.

[0026] It should also be noted that the data deviation status value of the physical asset ranges from 0 to 1, wherein when the data deviation status value of the physical asset is greater than a preset deviation threshold, the physical asset is determined to be a data deviation asset.

[0027] Furthermore, when the number of data-deviation assets does not meet the requirements, the optimization target and optimization method of the physical assets are directly determined.

[0028] It should also be noted that the method for determining the data deviation status value of the physical asset is: S11 determines whether there are assets with data deviation in the physical assets with different historical usage times based on the deviation situation, and if so, proceeds to the next step; if not, determines that the physical assets do not belong to data deviation assets; S12: The physical assets with data deviation are regarded as deviation assets, and the number of deviation assets in different historical usage times is determined to determine whether they meet the requirements. If not, the process proceeds to the next step. If yes, it is determined that the physical assets do not belong to data deviation assets. S13 determines whether the historical usage times of the deviation asset meet the requirements, if yes, proceeds to the next step, if no, proceeds to step S16; S14 determines whether there is a historical deviation number of times in which the quantity ratio of the deviation asset in the physical assets is greater than the preset quantity ratio. If so, proceed to the next step. If not, determine that the physical asset does not belong to the data deviation asset; S15 determines the data deviation amount of different deviation assets under different historical usage times according to the proportion of the number of information items of data deviation of different deviation assets, and determines the platform data error amount under different historical usage times according to the weight of the data deviation amount of different deviation assets under different historical usage times, and judges whether there is a historical deviation number of times when the platform data error amount does not meet the requirements, if so, proceeds to the next step, if not, determines that the physical asset does not belong to the data deviation asset; S16 determines the data deviation state value of the physical asset based on the platform data error amount under different historical usage times.

[0029] S2 obtains the data volume of the storage data of the physical assets of the material management platform, and when it is determined that the data utilization efficiency of the material management platform meets the requirements in combination with the historical call data of different physical assets, proceeds to the next step; Further, it is determined that the data utilization efficiency of the material management platform meets the requirements, specifically including: Based on the data volume of the stored data of the physical assets of the material management platform, the total data volume of the stored data of the material management platform is determined, and the basic data utilization efficiency of the material management platform is determined by the total data volume; Determine the historical call times of different physical assets through the historical call data of different physical assets, and determine the asset data utilization efficiency of different physical assets by combining the call data volume in the different historical call times with the data volume of the storage data of the physical assets; The data utilization efficiency of the material management platform is determined based on the asset data utilization efficiency of different physical assets and the basic data utilization efficiency, and whether the data utilization efficiency of the material management platform meets the requirements is determined in combination with a preset utilization efficiency threshold.

[0030] It can be understood that when the data utilization efficiency of the material management platform is less than the preset utilization efficiency threshold, it is determined that the data utilization efficiency of the material management platform does not meet the requirements.

[0031] Specifically, when the data utilization efficiency of the material management platform does not meet the requirements, the optimization target and optimization method of the physical assets are directly determined.

[0032] It is also understandable that determining that the data utilization efficiency of the material management platform meets the requirements specifically includes: S21 determines the total amount of the stored data of the material management platform based on the amount of the stored data of the physical assets of the material management platform, and judges whether the amount of the stored data of the material management platform is greater than a preset data amount threshold. If so, it is determined that the data utilization efficiency of the material management platform does not meet the requirements. If not, proceed to the next step. S22 determines the historical call times of different physical assets through the historical call data of different physical assets, and determines the asset data utilization efficiency of different physical assets by combining the call data volume in the different historical call times with the data volume of the storage data of the physical assets, and judges whether there is a physical asset whose asset data utilization efficiency is less than the utilization efficiency limit value, if so, proceeds to the next step, if not, proceeds to step S25; S23 regards the physical assets whose asset data utilization efficiency is less than the utilization efficiency limit value as underutilized assets, and determines whether the number of the underutilized assets meets the requirement. If so, proceed to the next step; if not, it is determined that the data utilization efficiency of the material management platform does not meet the requirement; S24 determines the utilization efficiency deviation of the material management platform based on the number of the underutilized assets, the asset data utilization efficiency of the underutilized assets, and the amount of stored data, and judges whether the utilization efficiency deviation of the material management platform meets the requirements. If so, proceed to the next step; if not, it is determined that the data utilization efficiency of the material management platform does not meet the requirements. S25 determines the basic data utilization efficiency of the material management platform through the total amount of data, determines the data utilization efficiency of the material management platform based on the asset data utilization efficiency of different physical assets and the basic data utilization efficiency, and determines whether the data utilization efficiency of the material management platform meets the requirements in combination with a preset utilization efficiency threshold.

[0033] S3: obtaining the number of data deviation assets in the material management platform and the data deviation status values ​​of different data deviation assets, and when determining that the material management platform needs to be optimized in combination with the data utilization efficiency in the material management platform, proceeding to the next step; Specifically, it is determined that the material management platform needs to be optimized, including: Determine the proportion of the number of data deviation assets in the material management platform according to the number of data deviation assets in the material management platform, and determine the basic data deviation amount of the material management platform based on the proportion of the number of data deviation assets; Determine the platform data deviation coefficient of the material management platform by multiplying the basic data deviation amount of the material management platform and the data deviation status values ​​of different data deviation assets; The optimization processing requirement value of the material management platform is determined based on the platform data deviation coefficient and the data utilization efficiency, and whether the material management platform needs to be optimized is determined by the optimization processing requirement value.

[0034] Further, when the optimization processing demand value of the material management platform does not meet the requirements, it is determined that the material management platform needs to be optimized.

[0035] It should also be noted that the material management platform needs to be optimized, including: Determine the proportion of the number of data deviation assets in the material management platform according to the number of data deviation assets in the material management platform, and judge whether the proportion of the number of data deviation assets in the material management platform meets the requirements. If so, proceed to the next step; if not, determine that the material management platform needs to be optimized; Determine whether the data volume ratio of the storage data of the data deviation assets in the material management platform meets the requirements, if so, proceed to the next step, if not, determine that the material management platform needs to be optimized; Determine the deviation impact coefficient of the data deviation asset based on the data volume of the stored data of the data deviation asset and the data deviation status value, and judge whether the number of data deviation assets whose deviation impact coefficient does not meet the requirement meets the requirement. If so, proceed to the next step; if not, determine that the material management platform needs to be optimized. Determine the basic data deviation amount of the material management platform based on the proportion of the number of data deviation assets, determine the platform data deviation coefficient of the material management platform by multiplying the basic data deviation amount of the material management platform and the data deviation status values ​​of different data deviation assets, and judge whether the platform data deviation coefficient of the material management platform meets the requirements. If so, proceed to the next step; if not, determine that the material management platform needs to be optimized; The optimization processing requirement value of the material management platform is determined based on the platform data deviation coefficient and the data utilization efficiency, and whether the material management platform needs to be optimized is determined by the optimization processing requirement value.

[0036] S4 determines the optimization target and optimization method of the physical assets through the deviation between the platform data and the real data of the information items of different physical assets in the material management platform and the historical call data.

[0037] Specifically, Figure 3 As shown, the method for determining the optimization target of the physical asset is: Determine the number of information deviations of the information item of the physical asset based on the deviation between the platform data and the real data of the information item of the physical asset, and determine the data deviation coefficient of the information item of the physical asset using the number of information deviations; Determine the historical call times of the information items of the physical assets based on the historical call data of the information items of the physical assets, and determine the historical call frequency of the physical assets based on the historical call times; The optimization requirement value of the information item of the physical asset is determined by the historical call frequency and the data deviation coefficient of the information item of the physical asset, and the optimization target of the information item of the physical asset is determined based on the optimization requirement value.

[0038] Furthermore, the optimization method includes changing the input method, optimizing the information verification cycle, and deleting information items.

[0039] It can be understood that when the historical call frequency of the information item is less than the preset frequency, it is determined that the information item of the physical asset is optimized by deleting the information item; When the historical call frequency of the information item is not less than the preset frequency, optimization is performed by changing the input method or optimizing the information verification cycle.

[0040] Example 2 On the other hand, the present invention provides a computer system, comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned physical asset status assessment method for a material management platform when running the computer program.

[0041] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0042] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0043] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A physical asset status assessment method for a material management platform, characterized in that: Specifically include: Based on the historical usage data of different physical assets in the material management platform, the deviation between the platform data and the real data of the physical assets at different historical usage times is determined, and the data deviation status values ​​of different physical assets and data deviation assets are determined by using the deviation. When the number of data deviation assets meets the requirements, proceed to the next step; The amount of data stored in the physical assets of the material management platform is obtained, and when it is determined that the data utilization efficiency of the material management platform meets the requirements in combination with the historical call data of different physical assets, the next step is entered; Acquire the number of data deviation assets in the material management platform and the data deviation status values ​​of different data deviation assets, and when it is determined that the material management platform needs to be optimized in combination with the data utilization efficiency in the material management platform, proceed to the next step; The optimization target and optimization method of the physical assets are determined by the deviation between the platform data and the real data of the information items of different physical assets in the material management platform and the historical call data.

2. The physical asset status assessment method for a material management platform according to claim 1, characterized in that: The historical usage data of the physical asset includes the historical usage times of the physical asset and the deviation between the platform data and the real data in different historical usage times.

3. The physical asset status assessment method for a material management platform according to claim 1, characterized in that: The deviation between the platform data and the real data of the physical assets includes the number of physical assets with data deviation and information items of data deviation of different physical assets.

4. The physical asset status assessment method for a material management platform according to claim 1, characterized in that: The method for determining the data deviation status value of the physical asset is: Based on the deviation, determine the assets with data deviation in the physical assets at different historical usage times, and treat them as deviation assets; Determine the data deviation amount of different deviation assets under different historical usage times by the proportion of the number of information items of data deviation of different deviation assets, and determine the platform data error amount under different historical usage times according to the weights of the data deviation amount of different deviation assets under different historical usage times; The data deviation state value of the physical asset is determined based on the platform data error amount under different historical usage times.

5. The physical asset status assessment method for a material management platform according to claim 4, characterized in that: Based on the platform data error under different historical usage times, the data deviation state value of the physical asset is determined, specifically including: The time weight values ​​of different historical usage times are determined by the deviations between the historical moments corresponding to different historical usage times and the current moments, and the data deviation state value of the physical asset is determined based on the time weight values ​​and the platform data deviation amount.

6. The physical asset status assessment method for a material management platform according to claim 1, characterized in that: Determine that the data utilization efficiency of the material management platform meets the requirements, including: Based on the data volume of the stored data of the physical assets of the material management platform, the total data volume of the stored data of the material management platform is determined, and the basic data utilization efficiency of the material management platform is determined by the total data volume; Determine the historical call times of different physical assets through the historical call data of different physical assets, and determine the asset data utilization efficiency of different physical assets by combining the call data volume in the different historical call times with the data volume of the storage data of the physical assets; The data utilization efficiency of the material management platform is determined based on the asset data utilization efficiency of different physical assets and the basic data utilization efficiency, and whether the data utilization efficiency of the material management platform meets the requirements is determined in combination with a preset utilization efficiency threshold.

7. The physical asset status assessment method for a material management platform according to claim 6, characterized in that: When the data utilization efficiency of the material management platform is less than the preset utilization efficiency threshold, it is determined that the data utilization efficiency of the material management platform does not meet the requirements.

8. The physical asset status assessment method for a material management platform according to claim 6, characterized in that: When the data utilization efficiency of the material management platform does not meet the requirements, the optimization target and optimization method of the physical assets are directly determined.

9. The physical asset status assessment method for a material management platform according to claim 1, characterized in that: Determine that the material management platform needs to be optimized, including: Determine the proportion of the number of data deviation assets in the material management platform according to the number of data deviation assets in the material management platform, and determine the basic data deviation amount of the material management platform based on the proportion of the number of data deviation assets; Determine the platform data deviation coefficient of the material management platform by multiplying the basic data deviation amount of the material management platform and the data deviation status values ​​of different data deviation assets; The optimization processing requirement value of the material management platform is determined based on the platform data deviation coefficient and the data utilization efficiency, and whether the material management platform needs to be optimized is determined by the optimization processing requirement value.

10. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes a physical asset status assessment method for a material management platform as described in any one of claims 1 to 9 when running the computer program.

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