CN118092802A - Processing method and device of equipment asset data, storage medium and electronic equipment - Google Patents

Processing method and device of equipment asset data, storage medium and electronic equipment Download PDF

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Publication number
CN118092802A
CN118092802A CN202410232149.6A CN202410232149A CN118092802A CN 118092802 A CN118092802 A CN 118092802A CN 202410232149 A CN202410232149 A CN 202410232149A CN 118092802 A CN118092802 A CN 118092802A
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China
Prior art keywords
component
target
data
information
equipment
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Inventor
胡汉顶
王晓通
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Suzhou Metabrain Intelligent Technology Co Ltd
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Suzhou Metabrain Intelligent Technology Co Ltd
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Priority to CN202410232149.6A priority Critical patent/CN118092802A/en
Publication of CN118092802A publication Critical patent/CN118092802A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601—Interfaces specially adapted for storage systems
    • G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
    • G06F3/0604—Improving or facilitating administration, e.g. storage management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601—Interfaces specially adapted for storage systems
    • G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
    • G06F3/0608—Saving storage space on storage systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601—Interfaces specially adapted for storage systems
    • G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
    • G06F3/0629—Configuration or reconfiguration of storage systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601—Interfaces specially adapted for storage systems
    • G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
    • G06F3/0671—In-line storage system

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the application provides a processing method and device of equipment asset data, a storage medium and electronic equipment, wherein the method comprises the following steps: analyzing the acquired asset data of the target equipment to obtain target component specification data, wherein the asset data of the target equipment comprises component data of target equipment components on the target equipment, the target component specification data comprises target component specification information extracted from the component data of the target equipment components, and the component specification information analyzed from the component data of the equipment components of the same type is the same; storing the target part specification data into a part specification data model, in a case where the target part specification data is not stored in the part specification data model, wherein the part specification data model is a data model for storing the part specification data of the device part in the target device; when the target component specification data is stored in the component specification data model, the target component specification data is ignored.

Description

Processing method and device of equipment asset data, storage medium and electronic equipment
Technical Field
The embodiment of the application relates to the field of computers, in particular to a method and a device for processing equipment asset data, a storage medium and electronic equipment.
Background
The equipment asset data includes equipment data and component data, in general, component specification information in the component data of the equipment components is fixed, component specification information of the equipment components of the same type is the same, and in a scenario where a large number of physical devices exist in a data center or the like, a large number of equipment components with identical component specification information may be corresponding, however, currently, when storing the component data, all the component information of the equipment components are stored in full quantities respectively, that is, one piece of storage data is corresponding to one piece of equipment component, a large number of repeated component specification information may be stored, which results in a large amount of storage space being wasted.
As can be seen from the above, the processing method of the equipment asset data in the related art has a problem of low storage space utilization rate caused by storing a large amount of repeated data respectively.
Disclosure of Invention
The embodiment of the application provides a processing method and a processing device for equipment asset data, which at least solve the problem of low storage space utilization rate caused by respectively storing a large amount of repeated data in the processing method for the equipment asset data in the related technology.
According to an embodiment of the present application, there is provided a method of processing equipment asset data, including: analyzing the acquired asset data of the target equipment to obtain target component specification data, wherein the asset data of the target equipment comprises component data of target equipment components on the target equipment, the target component specification data comprises target component specification information extracted from the component data of the target equipment components, and the component specification information analyzed from the component data of the equipment components of the same type is the same; storing the target part specification data into a part specification data model, in a case where the target part specification data is not stored in the part specification data model, wherein the part specification data model is a data model for storing part specification data of a device part in the target device; when the target component specification data is stored in the component specification data model, the target component specification data is ignored.
In an exemplary embodiment, the data parsing the acquired asset data of the target device to obtain target component specification data includes: splitting the component data of the target equipment component according to a target non-specification attribute field and a target specification attribute field to obtain target component non-specification information and target component specification information, wherein the component attribute of the target equipment component is divided into a target specification attribute and a target non-specification attribute according to the component type of the target equipment component, the target non-specification attribute field is an attribute field corresponding to the target non-specification attribute, and the target specification attribute field is an attribute field corresponding to the target specification attribute; generating a target component specification identifier based on the component category of the target equipment component and at least part of specification information in the target component specification information, wherein the target component specification identifier is used for uniquely identifying the target component specification information, and the target component specification data further comprises the target component specification identifier.
In an exemplary embodiment, the generating the target part specification identifier based on the part class of the target device part and at least part of the specification information of the target part includes: determining specification information corresponding to a group of generation factors in the target component specification information as the at least partial specification information, wherein each generation factor in the group of generation factors is a designated target specification attribute; and performing abstract extraction on the component category of the target equipment component and the at least part of specification information to obtain the specification identifier of the target component.
In one exemplary embodiment, the data model constructed for the target device includes a device information data model, a component non-specification data model, and the component specification data model, the asset data of the target device being parsed into target device information data, target component non-specification data, and the target component specification data, the target component non-specification data including the target component specification identification and the target component non-specification information, the target device information data including attribute information for representing a target device attribute of the target device; after the data parsing is performed on the acquired asset data of the target device, the method further includes: and updating the non-specification data of the target equipment component to the target component non-specification data when the non-specification data of the target equipment component is stored in the component non-specification data model.
In one exemplary embodiment, the number of the target device components is plural, the target component non-specification data corresponding to each of the target device components is stored in the component non-specification data model, and the target component non-specification data corresponding to each of the target device components includes the target component specification identification and the target component non-specification information corresponding to each of the target device components; the method further comprises the steps of: acquiring an asset data query request, wherein the asset data query request is used for requesting to query asset data of the target device; extracting the target equipment information data from the equipment information data model, respectively extracting the target part non-specification information corresponding to each target equipment part from the part non-specification data model according to the target part specification identification, and extracting the target part specification information from the part specification data model according to the target part specification identification; combining the target device information data, the target part non-specification information corresponding to each of the target device parts, and the target part specification information into asset data of the target device; and responding to the acquired asset data query request, and transmitting the asset data of the target device to a request sender of the asset data query request.
In one exemplary embodiment, the target specification attribute includes at least one of: component manufacturer, component code, component type, component capacity, component frequency, component bit width, component minimum voltage, the target non-specification attribute comprising at least one of: component name, component status, component location, the target device attribute including at least one of: a device serial number, a device model, a device manufacturer, a device status, a device class; the target part specification information is stored in the part specification data model in JSON format.
In an exemplary embodiment, after the data parsing is performed on the acquired asset data of the target device to obtain the target component specification data, the method further includes: querying the part specification data stored in the part specification data model by using the target part specification identification to judge whether the target part specification data is stored in the part specification data model.
According to another embodiment of the present application, there is provided a processing apparatus of equipment asset data, including: the analysis unit is used for carrying out data analysis on the acquired asset data of the target equipment to obtain target component specification data, wherein the asset data of the target equipment comprises the component data of the target equipment component on the target equipment, the target component specification data comprises target component specification information extracted from the component data of the target equipment component, and the component specification information analyzed from the component data of the equipment component of the same type is the same; a storage unit configured to store the target component specification data into a component specification data model, in a case where the target component specification data is not stored in the component specification data model, wherein the component specification data model is a data model for storing component specification data of a device component in the target device; and the execution unit is used for ignoring the target component specification data when the target component specification data is stored in the component specification data model.
In an exemplary embodiment, the parsing unit includes: the splitting module is used for splitting the component data of the target equipment component according to a target non-specification attribute field and a target specification attribute field to obtain target component non-specification information and target component specification information, wherein the component attribute of the target equipment component is divided into a target specification attribute and a target non-specification attribute according to the component type of the target equipment component, the target non-specification attribute field is an attribute field corresponding to the target non-specification attribute, and the target specification attribute field is an attribute field corresponding to the target specification attribute; the generating module is used for generating a target component specification identifier based on the component category of the target equipment component and at least part of specification information in the target component specification information, wherein the target component specification identifier is used for uniquely identifying the target component specification information, and the target component specification data further comprises the target component specification identifier.
In one exemplary embodiment, the generating module includes: a determining submodule, configured to determine specification information corresponding to a set of generating factors in the target component specification information as the at least partial specification information, where each generating factor in the set of generating factors is a specified one of the target specification attributes; and the execution sub-module is used for extracting the abstract of the component category of the target equipment component and the at least part of specification information to obtain the specification identifier of the target component.
In one exemplary embodiment, the data model constructed for the target device includes a device information data model, a component non-specification data model, and the component specification data model, the asset data of the target device being parsed into target device information data, target component non-specification data, and the target component specification data, the target component non-specification data including the target component specification identification and the target component non-specification information, the target device information data including attribute information for representing a target device attribute of the target device;
the apparatus further comprises: and the updating unit is used for updating the non-specification data of the target equipment component into the target component non-specification data when the non-specification data of the target equipment component is stored in the component non-specification data model after the acquired asset data of the target equipment is subjected to data analysis.
In one exemplary embodiment, the number of the target device components is plural, the target component non-specification data corresponding to each of the target device components is stored in the component non-specification data model, and the target component non-specification data corresponding to each of the target device components includes the target component specification identification and the target component non-specification information corresponding to each of the target device components;
The apparatus further comprises: the acquisition unit is used for acquiring an asset data query request, wherein the asset data query request is used for requesting to query the asset data of the target equipment; an extracting unit that extracts the target device information data from the device information data model, extracts the target device non-specification information corresponding to each of the target device components from the device non-specification data model according to the target device specification identification, and extracts the target device specification information from the device specification data model according to the target device specification identification; a combining unit configured to combine the target device information data, the target part non-specification information corresponding to each of the target device parts, and the target part specification information into asset data of the target device; and the sending unit is used for responding to the acquired asset data query request and sending the asset data of the target equipment to a request sender of the asset data query request.
In one exemplary embodiment, the target specification attribute includes at least one of: component manufacturer, component code, component type, component capacity, component frequency, component bit width, component minimum voltage, the target non-specification attribute comprising at least one of: component name, component status, component location, the target device attribute including at least one of: a device serial number, a device model, a device manufacturer, a device status, a device class; the target part specification information is stored in the part specification data model in JSON format.
In an exemplary embodiment, the apparatus further comprises: and the judging unit is used for carrying out data analysis on the acquired asset data of the target equipment to obtain target component specification data, and then using the target component specification identification to inquire the component specification data stored in the component specification data model so as to judge whether the target component specification data is stored in the component specification data model.
According to a further embodiment of the application, there is also provided a computer readable storage medium having stored therein a computer program, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
According to a further embodiment of the application there is also provided an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
According to a further embodiment of the application, there is also provided a computer program product comprising a computer program which, when executed by a processor, implements the steps of any of the method embodiments described above.
According to the application, as the component specification data model is constructed to uniquely store the component specification information of the components of the equipment of the same type, the technical problem that the utilization rate of the storage space is low due to the fact that a large amount of repeated component specification information is repeatedly stored in a full amount in the asset data processing method in the related art can be solved, and the technical effect of saving the storage space can be achieved.
Drawings
Fig. 1 is a hardware configuration block diagram of an application scenario of a processing method of device asset data according to an embodiment of the present application;
FIG. 2 is a flow diagram of a method of processing device asset data according to an embodiment of the application;
FIG. 3 is a flow diagram of another method of processing device asset data according to an embodiment of the application;
FIG. 4 is a flow diagram of yet another method of processing device asset data according to an embodiment of the application;
FIG. 5 is a flow diagram of yet another method of processing device asset data according to an embodiment of the application;
FIG. 6 is a flow diagram of a method of processing device asset data according to yet another embodiment of the application;
Fig. 7 is a block diagram of a device asset data processing apparatus according to an embodiment of the present application.
Detailed Description
Embodiments of the present application will be described in detail below with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
The method embodiment provided in the embodiment of the present application may be in a hardware environment, as shown in fig. 1, which is formed by a server 102 and a server cluster 104 configured with an operation and maintenance monitoring platform. As shown in fig. 1, a server 102 configured with an operation and maintenance monitoring platform is connected to a server cluster 104 through a network, and a database may be provided on the server 102 or independent of the server 102 for providing equipment asset data storage and maintenance services for the server cluster 104.
Here, the operation and maintenance monitoring platform refers to a software platform for monitoring and managing IT infrastructure and operation and maintenance work of an enterprise. The system can monitor various IT (Information Technology ) resources such as a server, network equipment, a database, an application program and the like, collect and analyze operation data in real time, provide real-time alarm and fault investigation, help an administrator and operation and maintenance personnel to find and solve problems in time, and ensure the stability and reliability of the system. The operation and maintenance monitoring platform is usually located on a server, and state information of the server and the network equipment is acquired by installing a monitoring agent program on the server or utilizing a network protocol, and the information is transmitted to the monitoring platform for analysis and display.
The network may include, but is not limited to, at least one of: wired network, wireless network. The wired network may include, but is not limited to, at least one of: a wide area network, a metropolitan area network, a local area network, and the wireless network may include, but is not limited to, at least one of: WIFI (WIRELESS FIDELITY ), bluetooth.
In this embodiment, a method for processing equipment asset data is provided, fig. 2 is a flowchart of a method for processing equipment asset data according to an embodiment of the present application, as shown in fig. 2, where the flowchart includes the following steps:
Step S202, analyzing the acquired asset data of the target equipment to obtain target component specification data, wherein the asset data of the target equipment comprises the component data of the target equipment component on the target equipment, the target component specification data comprises target component specification information extracted from the component data of the target equipment component, and the component specification information analyzed from the component data of the equipment component of the same type is the same;
The method for processing equipment asset data in this embodiment may be applied to a scenario of monitoring asset data of operation and maintenance physical equipment, where the asset data may include equipment information and equipment component information, and may be used to maintain and store asset data of physical infrastructure equipment of a physical equipment cluster such as a data center through a unified monitoring operation and maintenance platform, and for example, the number of large data center servers is often hundreds of thousands, and the number of included components is often millions or even tens of thousands of data. These all require the monitoring operation and maintenance platform to consume a large amount of storage space, and in the current operation and maintenance monitoring platform, a plurality of data models are often required to be established for each physical device according to the device type so as to store the asset data of various devices collected by the unified monitoring operation and maintenance platform.
For example, in the operation and maintenance management of physical devices in a data center, asset data of each device is stored in each data model, a certain type of device often needs to construct a data model for storing basic information and a plurality of component data models for storing component data, each model contains all field attributes of the basic information or the component information of the device, for example, the asset data storage of a server needs to construct a device information data model and each component data model, for example, a CPU (Central Processing Unit ) data model, a memory data model, a..the., a RAID (Redundant Array of INDEPENDENT DISKS ) data model, and a hard disk data model (server data model is shown in fig. 3), and each data model is associated by a generated device ID (Identification) for association query of asset data.
However, taking a server as an example, for the memory encoded by the same component, information such as manufacturer, state, type, capacity, frequency, bit width, minimum power supply and the like of the memory are identical, such information can be called specification information of the component, corresponding specification information exists for other types of components, the information cannot be changed under the condition that the component is not replaced, the specification information of the components such as a CPU and the memory of the server equipment is identical, and a large number of components with identical specification information exist for hundreds of thousands of pieces of equipment of the whole data center. However, the existing data model is to store attribute information of all components in full, and particularly for a data center, a large amount of repeated component specification information is stored, so that the storage space is wasted.
In order to at least partially solve the above-mentioned problems, in this embodiment, the component specification information of the maintenance device is uniformly stored by constructing a component specification information storage data model, which solves the problem that a large amount of repeated specification information data is stored in the component data in the prior art, that is, by constructing a component specification information storage data model to separately store the maintenance component specification information, the specification information field in the original model can be deleted, and the field attribute number of the part data model in the prior art can be reduced.
In this embodiment, the device asset data may be collected by a collector associated with the operation and maintenance monitoring platform, and after the physical device is added to the unified monitoring operation and maintenance platform, the device asset data may be collected by the collector at regular time to store and maintain (update) the device asset data.
For physical devices, asset data of the physical devices includes device basic information and component data, the component data includes component specification information and component non-specification information, a data model for storing the asset data of the physical devices at present often stores the component data in full, taking a database table as an example of the data model, at present, the corresponding component data model is used for storing the component information in full, how many components correspond to how many data records are stored, and no distinction is made between component specification and component non-specification information. In view of the fact that the component specification information of the same type of device component is the same, in the present embodiment, the component specification information is stored by the component specification data model, and the same component specification information stores only one data record.
When the asset data of the target device is acquired, the asset data of the target device is subjected to data analysis to obtain target component specification data, and the target component specification data includes target component specification information extracted from the component data of the target device component.
The component specification information analyzed from the component data of the same type of equipment component is the same, and the component specification information is not changed at all when the asset collection is updated.
Step S204 of storing the target component specification data into a component specification data model, which is a data model for storing the component specification data of the device component in the target device, in a case where the target component specification data is not stored in the component specification data model;
in the case where the target component specification data is not stored in the component specification data model, the target component specification data is stored in the component specification data model, and in the case where the component specification data model is a database table, for example, component specification information of different types of device components may be stored through different data records, and in the case where the component specification data model does not have component specification information of the same type of device components as the target device component on the target device, the target component specification data may be stored in the component specification data model in the form of data records.
The component specification information of the device component of the same type as the target device component on the target device is the same as the target component specification information in the target component specification data.
In step S206, when the target component specification data is stored in the component specification data model, the target component specification data is ignored.
In order to avoid the waste of the storage space, in the case where the component specification information conforming to the component type of the target device component has been stored in the component specification data model, that is, in the case where the target component specification data is stored in the component specification data model, the target component specification data may be ignored.
Through the steps, the acquired asset data of the target equipment is subjected to data analysis to obtain target component specification data, wherein the asset data of the target equipment comprises component data of target equipment components on the target equipment, the target component specification data comprises target component specification information extracted from the component data of the target equipment components, and the component specification information analyzed from the component data of the equipment components of the same type is the same; storing the target part specification data into a part specification data model, in a case where the target part specification data is not stored in the part specification data model, wherein the part specification data model is a data model for storing the part specification data of the device part in the target device; under the condition that target component specification data are stored in the component specification data model, the target component specification data are ignored, the problem that the storage space utilization rate is low due to the fact that a large amount of repeated data are stored respectively in the processing method of equipment asset data is solved, and the storage space utilization rate is improved.
The execution subject of the steps may be an operation and maintenance monitoring platform set up on a server, but is not limited thereto.
In an exemplary embodiment, performing data parsing on the acquired asset data of the target device to obtain target component specification data includes:
s11, splitting the component data of the target equipment component according to a target non-specification attribute field and a target specification attribute field to obtain target component non-specification information and target component specification information, wherein the component attribute of the target equipment component is divided into a target specification attribute and a target non-specification attribute according to the component type of the target equipment component, the target non-specification attribute field is an attribute field corresponding to the target non-specification attribute, and the target specification attribute field is an attribute field corresponding to the target specification attribute;
S12, generating a target component specification identifier based on at least part of the component category of the target equipment component and the target component specification information, wherein the target component specification identifier is used for uniquely identifying the target component specification information, and the target component specification data further comprises the target component specification identifier.
Before data analysis is performed on the acquired asset data of the target device, a rule base for processing the component data can be constructed, and a component specification attribute field and a non-specification attribute field are defined: and respectively defining a specification attribute field and a non-specification attribute field of each component according to the category and attribute information of each equipment component, and splitting the component data. For example, in the data attribute of the memory component, the name, state and position information can be classified as non-specification attribute information, and the manufacturer, component code, type, capacity, frequency, bit width and minimum voltage can be classified as specification attribute information.
Extracting a component data list from the acquired asset data, acquiring a component data processing rule according to a component category, and splitting the component data according to a component specification attribute field and a non-specification attribute field definition of a corresponding component, namely splitting the component data of a target device component according to a target non-specification attribute field and a target specification attribute field after the acquired asset data of the target device, so as to obtain target component non-specification information and target component specification information.
In the component specification attribute information, the specification information of the component may be uniquely determined according to a certain attribute or attributes, and in order to identify the target component specification information, at least part of the specification information may be defined according to the category of each device component for generating the component specification identifier, that is, at least part of the specification information of the device component in the same category for generating the component specification identifier is the same.
For example, in the present embodiment, for example, the memory may define the component code as specification information for generating the component specification identifier, the CPU may define the model as specification information for generating the component specification identifier, and the like.
According to the embodiment, the component data in the asset data are split into the component specification information and the component non-specification information according to the preset rule, the component specification information for generating the component specification mark is preset for the equipment component based on the component category, the fact that the component specification information extracted from the component data by the equipment component of the same type is identical can be achieved, the component specification mark of the equipment component of the same type is identical, and then the equipment component of the same type can be stored in a unique data record in the component specification data model, and the utilization rate of a storage space is improved.
In one exemplary embodiment, generating the target part specification identification based on at least part of the specification information in the target part specification information and the part class of the target device part includes:
s21, determining specification information corresponding to a group of generation factors in the specification information of the target component as at least part of specification information, wherein each generation factor in the group of generation factors is a specified target specification attribute;
S22, abstract extraction is carried out on the component category and at least part of specification information of the target equipment component, and the specification mark of the target component is obtained.
In this embodiment, the corresponding component generating factors may be defined according to the types of the respective device components, for example, the memory may define the component code as the generating factor, the CPU may define the model as the generating factor, and so on.
In the component specification attribute information, the specification information of the component may be uniquely determined according to one or several attributes, and such attributes are defined as component specification ID generation factors, that is, the component specification ID is calculated and generated by such attribute information. Specification ID generation algorithm: the specification ID is generated by an encryption Algorithm of MD5 (Message-Digest Algorithm) by adding the component class to attribute information corresponding to the generation factor of the component, and the generation rule is as follows:
Specification id=md (component class+generator 1+, +generator n.)
Here, MD5 is a widely used cryptographic hash function that can generate a 128 bit (16 byte) hash value (hashvalue) to ensure that the information transfer is completely consistent.
Referring to fig. 4, the component specification ID generation flow may acquire a generation factor of a corresponding component specification ID according to a component type as shown in fig. 4; extracting attribute values corresponding to the generating factors from the component data according to the definition of the generating factors; the component type and the acquired attribute value are calculated by a generation rule to generate a component specification ID.
With the present embodiment, it is possible to uniquely identify the component specification information of one type of equipment component based on the generated component specification identification, improving the readability of the information.
In one exemplary embodiment, the data model built for the target device includes a device information data model, a component non-specification data model, and a component specification data model, asset data of the target device is parsed into target device information data, target component non-specification data, and target component specification data, the target component non-specification data including a target component specification identification and target component non-specification information, the target device information data including attribute information for representing target device attributes of the target device;
After data parsing is performed on the acquired asset data of the target device, the method further includes:
S31, when the non-specification data of the target device component is stored in the component non-specification data model, updating the non-specification data of the target device component to the target component non-specification data.
And performing data analysis on the obtained asset data of the target device, and obtaining a device type of the target device, wherein the asset data of the target device comprises the device type, and an asset data model can be constructed according to the device type and used for storing the asset data, and as shown in fig. 5, the device asset data model comprises a device information data model, a component non-specification data model (a component 1 non-specification data model, a component 2 non-specification data model) and a component specification data model, wherein N can be the sum of all device components of the physical device stored by the device asset data model.
Illustratively, the device information data model may store device basic information (e.g., device itself attribute information such as serial number, model number, vendor, status, device class, etc.); the component non-specification data model may be used to store corresponding component serial number and other unique information, state and other changeable data attribute information and component specification ID; the component specification data model is used for storing component specification data of various devices, and the model comprises two attribute fields of specification ID and specification information, and similar to the previous embodiment, the component specification ID is used for generating unique identification information according to a rule algorithm corresponding to a component and is used for associating the unique identification information with the component data stored in the component data model.
Splitting the component data according to the component specification attribute field and the non-specification attribute field definition of the corresponding component, splitting and constructing target component specification data and target component non-specification data according to the component type, and storing the component data by the corresponding data model after the splitting of the component data is completed.
The component specification information does not change at all during the asset collection update, and the update operation does not need to be executed during the asset collection update. In the case where non-specification data of the target device component is stored in the component non-specification data model, updating the non-specification data of the target device component to the target component non-specification data, where whether the non-specification data of the target device component is stored in the component non-specification data model may be determined by querying whether there is a component specification identifier of the corresponding device component in the component non-specification data model.
In the case where non-specification data of the target device component is not stored in the component non-specification data model, a data record may be newly created in the component non-specification data model for storing the target component non-specification data, where the component non-specification data model may be a database table.
Alternatively, in this embodiment, the device information data model and the component non-specification data model may be associated by a device identifier for association querying of asset data.
According to the embodiment, the component data in the equipment asset data is split into the component specification information and the component non-specification information to be stored separately, and when the asset data is updated, only the component non-specification information in the component non-specification data model can be updated, so that all attribute information is prevented from being updated in full, and the system performance is improved.
In one exemplary embodiment, the number of target device components is a plurality, target component non-specification data corresponding to each target device component is stored in a component non-specification data model, respectively, the target component non-specification data corresponding to each target device component includes a target component specification identification and target component non-specification information corresponding to each target device component;
The method further comprises the following steps:
s41, acquiring an asset data query request, wherein the asset data query request is used for requesting to query asset data of target equipment;
S42, extracting target equipment information data from the equipment information data model, respectively extracting target part non-specification information corresponding to each target equipment part from the part non-specification data model according to the target part specification identification, and extracting specification information of the target part from the part specification data model according to the target part specification identification;
s43, combining the target equipment information data, the target part non-specification information corresponding to each target equipment part and the target part specification information into asset data of the target equipment;
And S44, responding to the acquired asset data query request, and transmitting the asset data of the target device to a request sender of the asset data query request.
In the case where the number of target device components is plural, the target device component non-specification data corresponding to each target device component may be stored in the component non-specification data model, that is, one data record for each device component, and how many device components correspond to how many data records, respectively.
In the case that the device asset data needs to be queried, a user-triggered asset data query request is acquired, where the asset data query request may carry indication information of the target device, for example, a device identifier, a device address, and the like of the target device, and optionally, the asset data query request may carry at least one piece of target device information data.
In the case where asset data of a plurality of target devices are stored in the data model, target device non-specification information corresponding to each target device may be extracted from the device non-specification data model based on associated data of the device information data model and the device non-specification data model, where the associated data of the device information data model and the device non-specification data model may be a device serial number stored in the device information data model and the device non-specification data model, a device identifier stored in the device information data model and the device non-specification data model, a target device specification identifier stored in the device information data model and the device non-specification data model, or other types of associated data, which is not limited in this embodiment. Alternatively, the association relationship of the device information data in the device information data model and the component non-specification data in the component non-specification data model may be stored through a form.
In the case where only asset data of one target device is stored in the data model, target part non-specification information corresponding to each target device part may be extracted from the plurality of part non-specification data models directly according to the target part specification identification, respectively, and target part specification information corresponding to the target device part may be extracted from the part specification data model according to the target part specification identification; the target device information data, the target part non-specification information corresponding to each target device part, and the target part specification information are combined into asset data of the target device.
And responding to the acquired asset data query request, and transmitting the asset data of the target device to a request sender of the asset data query request, wherein the acquisition and response of the asset data query request transmitted by the request sender can be an operation and maintenance monitoring platform.
According to the embodiment, the plurality of equipment components of the same type are stored as the plurality of data records in the non-specification data model of the component and one data record in the specification data model of the component, so that the number of field attributes of the data model of the component is reduced, unnecessary updating and performance waste can be reduced when the components are updated and stored, the data are associated through the specification identifiers of the components, and when the data asset data query is carried out, the data in the plurality of data models can be combined to obtain the asset data of the target equipment, thereby being convenient for the query of the equipment asset data.
In one exemplary embodiment, the target specification attribute includes at least one of: component manufacturer, component code, component type, component capacity, component frequency, component bit width, component minimum voltage, for a target non-specification attribute, including at least one of: the component name, component status, component location, target device attributes include at least one of: a device serial number, a device model, a device manufacturer, a device status, a device class; the target part specification information is stored in the part specification data model in JSON format.
The target specification attribute is fixed attribute information corresponding to the device component, and the target non-specification attribute is changeable data attribute information corresponding to the device component. The component specification information is stored in JSON format due to its unchanged characteristics.
JSON format is an abbreviation for JavaScript Object Notation, a lightweight data exchange format. It is based on a subset of JavaScript, but can be used independently of the programming language. The JSON format stores data in key/value pairs, using a simple text format, easy to read and write. The JSON format is adopted to store the data, so that the readability, maintainability and cross-platform compatibility of the data can be improved, and the data exchange and sharing are facilitated.
Optionally, the component specification data model is used for storing specification data of various components of each device, and the model comprises two field attributes, namely one field attribute is used for storing the specification ID of the component, and the other field attribute is used for storing specification information of the component in a JSON format.
In an exemplary embodiment, after performing data parsing on the acquired asset data of the target device to obtain the target component specification data, the method further includes:
s51, querying the component specification data stored in the component specification data model by using the target component specification identification to judge whether the target component specification data is stored in the component specification data model.
The generation factors of the predefined same type of device parts are the same, and therefore, the part specification identifications generated based on the part categories and the attribute information corresponding to the generation factors are also the same for the same type of device parts.
When the component specification data is stored, whether the current specification information is stored or not can be judged according to the specification ID, if the current specification information is stored, the operation is not performed, and if the current specification information is not stored, the storage operation is performed.
According to the embodiment, whether the component specification information of the equipment component corresponding to the component specification identification is stored in the component specification data model is indicated by the component specification identification, so that the readability of the information can be improved, and the information acquisition efficiency can be improved.
As an alternative exemplary embodiment of the present application, taking asset data in a monitoring operation and maintenance of physical equipment in a data center as an example, a method for processing equipment asset data in an embodiment of the present application will be explained.
With the development of the internet and large data and the gradual expansion of the enterprise scale, the number of data center physical infrastructure devices to which the enterprise belongs is increased, and for the unified monitoring operation and maintenance platform, the number of asset data to be maintained and stored is increased greatly as compared with the number of days, and the required monitoring operation and maintenance platform is increased to consume a large amount of storage space.
However, as the number of devices increases, the data size of the device components increases exponentially, for example, the server needs to store and maintain basic information of the server and also includes a large amount of server component information (CPU, memory, power supply, etc.), so that at present, we use corresponding component data models to store the component information in full, and how many components will correspond to how many data records are stored. Taking the memory as an example, the current data model contains attribute information such as component ID, device ID, name, state, manufacturer, component code, type, capacity, frequency, position, bit width, minimum voltage and the like, the information such as manufacturer, state, type, capacity, frequency, bit width, minimum power supply and the like of the memory of the same component code is identical, the information is called specification information of the component, the other types of components have corresponding specification information, the information is not changed when the component is not replaced, the specification information of the components such as a CPU (Central processing Unit) and the memory of a single server device is identical, a large number of components with identical specification information exist for hundreds of thousands of devices of the whole data center, the identical component information can be completely extracted and stored and maintained independently by constructing a specification data model, a component specification library is formed, a large amount of storage space can be wasted in the current storage mode, and the operation cost is increased.
In order to at least partially solve the above-mentioned problems, in this embodiment, in connection with fig. 6, data acquisition is performed by the collector, an asset data model including a basic information data model, a component non-specification data model, and a specification data model is constructed for storage of equipment asset data, and a rule base for component data processing is constructed for splitting processing of each piece of equipment component data; and the analysis processing and storage of the equipment asset data are realized based on the data model and the rule base, and the technical problem of wasting storage space is solved. The method specifically comprises the following steps:
step 1, constructing an asset data model, wherein the asset data model is used for storing equipment asset data;
The asset data model comprises a basic information data model, a part non-specification data model and 3 sub-models of a part specification data model, wherein the basic information data model is used for storing basic information data of equipment; the component non-specification data model is used for storing non-specification type data of each component of the equipment; the component specification data model is used for storing specification data of various components of each device, and comprises two field attributes, namely one field attribute is used for storing the specification ID of the component, and the other field attribute is used for storing specification information of the component in a JSON format.
Step 2, constructing a component data processing rule base, wherein the rule base defines and maintains specification attribute fields and non-specification attribute fields of all equipment components, a component ID generating factor and a component ID generating rule algorithm; a rule base is a means for defining data processing rules for a device component.
(1) A component specification attribute field and a non-specification attribute field are defined and are used for splitting the data of each equipment component into specification data and non-specification data;
(2) Defining a component specification ID generation factor for extracting an attribute image generating a component ID from the component data;
(3) A component specification ID generation algorithm is defined for the computational generation of the component specification ID.
Step 3, the data analyzer processes, splits and stores the equipment asset data based on the constructed data model and rule base; the data parser is a device that parses and processes the device asset data.
(1) Receiving asset data acquired by an acquisition device;
(2) Constructing a device basic data object based on the device category and completing basic information data storage;
(3) Processing the component data based on the defined rules comprises obtaining a generating factor from a rule base through the component category, generating a component specification ID based on the component category and the component data, and completing data splitting and storing based on specification attribute fields and non-specification attribute field definitions.
According to the application, an asset data model comprising a basic information data model, a part non-specification data model and a specification data model is constructed, so that the part data model in the prior art scheme is simplified; constructing a rule base for processing various component data, wherein the rule base comprises component specification attribute fields and non-specification attribute field definitions, component specification ID generation factor definitions and specification ID generation algorithms, and the rule base can be used for splitting the component data of each device into two parts of non-specification data and specification data for subsequent storage processing; the data parser processes the asset data of each device by using the constructed asset data model and the data processing rule base, splits and extracts the specification data of the components, solves the technical problem of wasting storage space in the related technical scheme, simplifies the data structure and improves the data storage efficiency.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method of the various embodiments of the present application.
The embodiment also provides a device for processing equipment asset data, which is used for implementing the foregoing embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Fig. 7 is a block diagram of a device asset data processing apparatus according to an embodiment of the present application, as shown in fig. 7, the device includes:
An parsing unit 702, configured to perform data parsing on the acquired asset data of the target device to obtain target component specification data, where the asset data of the target device includes component data of a target device component on the target device, and the target component specification data includes target component specification information extracted from component data of a target device component, and component specification information parsed from component data of a device component of a same type is the same;
A storage unit 704 configured to store the target component specification data into a component specification data model, in a case where the target component specification data is not stored in the component specification data model, wherein the component specification data model is a data model for storing the component specification data of the device component in the target device;
and an execution unit 706 configured to ignore the target component specification data when the target component specification data is stored in the component specification data model.
It should be noted that, the parsing unit 702 in this embodiment may be configured to perform the step S202 described above; the storage unit 704 in this embodiment may be used to perform the above step S204; the execution unit 706 in this embodiment may be configured to execute step S206 described above.
According to the embodiment of the application, the acquired asset data of the target equipment is subjected to data analysis to obtain the target component specification data, wherein the asset data of the target equipment comprises the component data of the target equipment component on the target equipment, the target component specification data comprises target component specification information extracted from the component data of the target equipment component, and the component specification information analyzed from the component data of the equipment component of the same type is the same; storing the target part specification data into a part specification data model, in a case where the target part specification data is not stored in the part specification data model, wherein the part specification data model is a data model for storing the part specification data of the device part in the target device; under the condition that target component specification data are stored in the component specification data model, the target component specification data are ignored, the problem that the storage space utilization rate is low due to the fact that a large amount of repeated data are stored respectively in the processing method of equipment asset data is solved, and the storage space utilization rate is improved.
In one exemplary embodiment, the parsing unit includes:
The splitting module is used for splitting the component data of the target equipment component according to the target non-specification attribute field and the target specification attribute field to obtain target component non-specification information and target component specification information, wherein the component attribute of the target equipment component is divided into a target specification attribute and a target non-specification attribute according to the component type of the target equipment component, the target non-specification attribute field is an attribute field corresponding to the target non-specification attribute, and the target specification attribute field is an attribute field corresponding to the target specification attribute;
the generating module is used for generating a target component specification identifier based on at least part of the component category of the target equipment component and the target component specification information, wherein the target component specification identifier is used for uniquely identifying the target component specification information, and the target component specification data further comprises the target component specification identifier.
In one exemplary embodiment, the generating module includes:
A determining submodule, configured to determine specification information corresponding to a set of generating factors in the specification information of the target component as at least part of the specification information, where each generating factor in the set of generating factors is a specified target specification attribute;
and the execution sub-module is used for abstracting the component category and at least part of specification information of the target equipment component to obtain the specification identifier of the target component.
In one exemplary embodiment, the data model built for the target device includes a device information data model, a component non-specification data model, and a component specification data model, asset data of the target device is parsed into target device information data, target component non-specification data, and target component specification data, the target component non-specification data including a target component specification identification and target component non-specification information, the target device information data including attribute information for representing target device attributes of the target device;
The device further comprises:
And an updating unit configured to update the non-specification data of the target device component to the target component non-specification data when the non-specification data of the target device component is stored in the component non-specification data model after data analysis is performed on the acquired asset data of the target device.
In one exemplary embodiment, the number of target device components is a plurality, target component non-specification data corresponding to each target device component is stored in a component non-specification data model, respectively, the target component non-specification data corresponding to each target device component includes a target component specification identification and target component non-specification information corresponding to each target device component;
The device further comprises:
The acquisition unit is used for acquiring an asset data query request, wherein the asset data query request is used for requesting to query asset data of the target equipment;
An extracting unit for extracting target device information data from the device information data model, extracting target part non-specification information corresponding to each target device part from the part non-specification data model according to the target part specification identification, and extracting specification information corresponding to the target part from the part specification data model according to the target part specification identification;
A combining unit configured to combine the target device information data, the target part non-specification information corresponding to each target device part, and the target part specification information into asset data of the target device;
And the sending unit is used for responding to the acquired asset data query request and sending the asset data of the target device to a request sender of the asset data query request.
In one exemplary embodiment, the target specification attribute includes at least one of: component manufacturer, component code, component type, component capacity, component frequency, component bit width, component minimum voltage, for a target non-specification attribute, including at least one of: the component name, component status, component location, target device attributes include at least one of: a device serial number, a device model, a device manufacturer, a device status, a device class; the target part specification information is stored in the part specification data model in JSON format.
In an exemplary embodiment, the above apparatus further includes:
And the judging unit is used for judging whether the target component specification data is stored in the component specification data model or not by using the target component specification identification to inquire the component specification data stored in the component specification data model after the acquired asset data of the target equipment is subjected to data analysis to obtain the target component specification data.
It should be noted that each of the above modules may be implemented by software or hardware, and for the latter, it may be implemented by, but not limited to: the modules are all located in the same processor; or the above modules may be located in different processors in any combination.
Embodiments of the present application also provide a computer readable storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
In one exemplary embodiment, the computer readable storage medium may include, but is not limited to: a usb disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing a computer program.
An embodiment of the application also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
In an exemplary embodiment, the electronic device may further include a transmission device connected to the processor, and an input/output device connected to the processor.
Embodiments of the application also provide a computer program product comprising a computer program which, when executed by a processor, implements the steps of any of the method embodiments described above.
Embodiments of the present application also provide another computer program product comprising a non-volatile computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of any of the method embodiments described above.
Embodiments of the present application also provide a computer program comprising computer instructions stored in a computer-readable storage medium; the processor of the computer device reads the computer instructions from the computer readable storage medium and executes the computer instructions to cause the computer device to perform the steps of any of the method embodiments described above.
Specific examples in this embodiment may refer to the examples described in the foregoing embodiments and the exemplary implementation, and this embodiment is not described herein.
It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. A processing method of equipment asset data is characterized in that,
Comprising the following steps:
Analyzing the acquired asset data of the target equipment to obtain target component specification data, wherein the asset data of the target equipment comprises component data of target equipment components on the target equipment, the target component specification data comprises target component specification information extracted from the component data of the target equipment components, and the component specification information analyzed from the component data of the equipment components of the same type is the same;
Storing the target part specification data into a part specification data model, in a case where the target part specification data is not stored in the part specification data model, wherein the part specification data model is a data model for storing part specification data of a device part in the target device;
When the target component specification data is stored in the component specification data model, the target component specification data is ignored.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
The data analysis is performed on the acquired asset data of the target device to obtain target component specification data, including:
Splitting the component data of the target equipment component according to a target non-specification attribute field and a target specification attribute field to obtain target component non-specification information and target component specification information, wherein the component attribute of the target equipment component is divided into a target specification attribute and a target non-specification attribute according to the component type of the target equipment component, the target non-specification attribute field is an attribute field corresponding to the target non-specification attribute, and the target specification attribute field is an attribute field corresponding to the target specification attribute;
Generating a target component specification identifier based on the component category of the target equipment component and at least part of specification information in the target component specification information, wherein the target component specification identifier is used for uniquely identifying the target component specification information, and the target component specification data further comprises the target component specification identifier.
3. The method of claim 2, wherein the step of determining the position of the substrate comprises,
The generating a target component specification identifier based on the component class of the target device component and at least part of the specification information in the target component specification information includes:
determining specification information corresponding to a group of generation factors in the target component specification information as the at least partial specification information, wherein each generation factor in the group of generation factors is a designated target specification attribute;
and performing abstract extraction on the component category of the target equipment component and the at least part of specification information to obtain the specification identifier of the target component.
4. The method of claim 2, wherein the step of determining the position of the substrate comprises,
The data model constructed for the target device comprises a device information data model, a component non-specification data model and the component specification data model, wherein asset data of the target device is analyzed into target device information data, target component non-specification data and target component specification data, the target component non-specification data comprises the target component specification identification and the target component non-specification information, and the target device information data comprises attribute information used for representing target device attributes of the target device;
after the data parsing is performed on the acquired asset data of the target device, the method further includes:
and updating the non-specification data of the target equipment component to the target component non-specification data when the non-specification data of the target equipment component is stored in the component non-specification data model.
5. The method of claim 4, wherein the step of determining the position of the first electrode is performed,
The number of the target equipment components is a plurality, the target component non-specification data corresponding to each target equipment component is respectively stored in the component non-specification data model, and the target component non-specification data corresponding to each target equipment component comprises the target component specification identification and the target component non-specification information corresponding to each target equipment component;
the method further comprises the steps of:
Acquiring an asset data query request, wherein the asset data query request is used for requesting to query asset data of the target device;
Extracting the target equipment information data from the equipment information data model, respectively extracting the target part non-specification information corresponding to each target equipment part from the part non-specification data model according to the target part specification identification, and extracting the target part specification information from the part specification data model according to the target part specification identification;
Combining the target device information data, the target part non-specification information corresponding to each of the target device parts, and the target part specification information into asset data of the target device;
And responding to the acquired asset data query request, and transmitting the asset data of the target device to a request sender of the asset data query request.
6. The method of claim 4, wherein the step of determining the position of the first electrode is performed,
The target specification attribute includes at least one of: component manufacturer, component code, component type, component capacity, component frequency, component bit width, component minimum voltage, the target non-specification attribute comprising at least one of: component name, component status, component location, the target device attribute including at least one of: a device serial number, a device model, a device manufacturer, a device status, a device class; the target part specification information is stored in the part specification data model in JsON format.
7. The method according to any one of claim 2 to 6, wherein,
After the data analysis is performed on the acquired asset data of the target device to obtain the target component specification data, the method further comprises:
querying the part specification data stored in the part specification data model by using the target part specification identification to judge whether the target part specification data is stored in the part specification data model.
8. A processing device for equipment asset data is characterized in that,
Comprising the following steps:
The analysis unit is used for carrying out data analysis on the acquired asset data of the target equipment to obtain target component specification data, wherein the asset data of the target equipment comprises the component data of the target equipment component on the target equipment, the target component specification data comprises target component specification information extracted from the component data of the target equipment component, and the component specification information analyzed from the component data of the equipment component of the same type is the same;
A storage unit configured to store the target component specification data into a component specification data model, in a case where the target component specification data is not stored in the component specification data model, wherein the component specification data model is a data model for storing component specification data of a device component in the target device;
and the execution unit is used for ignoring the target component specification data when the target component specification data is stored in the component specification data model.
9. A computer-readable storage medium comprising,
The computer readable storage medium having stored therein a computer program, wherein the computer program when executed by a processor implements the steps of the method of any of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that,
The processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 7.
CN202410232149.6A 2024-02-29 2024-02-29 Processing method and device of equipment asset data, storage medium and electronic equipment Pending CN118092802A (en)

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