CN115514672B - Cabinet scanning processing method and system - Google Patents
Cabinet scanning processing method and system Download PDFInfo
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Abstract
The embodiment of the invention provides a cabinet scanning processing method and a system, which are characterized in that cabinet scanning data of a plurality of target cabinets are acquired, a cabinet abnormality analysis network is constructed, then an abnormality analysis unit which has an abnormality analysis communication relation with an abnormality analysis unit of the target cabinet is determined in the cabinet abnormality analysis network for each target cabinet and is used as a target abnormality analysis unit, and an abnormality analysis combination unit of the target cabinet is constructed according to the abnormality analysis communication relation between the abnormality analysis unit of the target cabinet and the target abnormality analysis unit thereof, so that the cabinet scanning data of the target cabinet is subjected to abnormality analysis according to the abnormality analysis unit of the correlation abnormality characteristics of the target abnormality analysis characteristics in the abnormality analysis combination unit, and an abnormality analysis result is obtained. Therefore, the abnormal analysis and identification of the cabinet scanning data can be realized by combining the abnormal analysis and communication dimension.
Description
Technical Field
The invention relates to the technical field of cabinet scanning, in particular to a cabinet scanning processing method and system.
Background
At present, how to effectively combine the abnormal analysis connected dimension to realize the abnormal analysis and identification of the cabinet scanning data relates to a large number of important data of the dimension in the cabinet scanning data is a technical problem to be solved urgently by the technicians in the field.
Disclosure of Invention
Accordingly, an object of the embodiments of the present invention is to provide a method and a system for processing cabinet scanning, which can combine the dimension of communication of anomaly analysis to realize anomaly analysis and identification of cabinet scanning data.
According to an aspect of an embodiment of the present invention, there is provided a cabinet scanning processing method, applied to a server, the method including:
acquiring cabinet scanning data of a plurality of target cabinets, and constructing a cabinet anomaly analysis network, wherein anomaly analysis units in the cabinet anomaly analysis network are in one-to-one correspondence with the target cabinets, and anomaly analysis communication relations among the anomaly analysis units are determined according to the cabinet scanning data of the target cabinets;
for each target cabinet, in the cabinet abnormality analysis network, determining an abnormality analysis unit having an abnormality analysis communication relationship with an abnormality analysis unit of the target cabinet as a target abnormality analysis unit;
constructing an anomaly analysis combination unit of the target cabinet according to the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit;
and according to the abnormality analysis unit of the correlation abnormality characteristic of the target abnormality analysis characteristic in the abnormality analysis combination unit, performing abnormality analysis on the cabinet scanning data of the target cabinet to obtain an abnormality analysis result.
In one possible example, the step of acquiring rack scan data of a plurality of target racks includes:
acquiring cabinet scanning data of association abnormal characteristics associated with a target cabinet from at least one cabinet scanning assembly;
and performing noise test on the acquired cabinet scanning data, and taking the cabinet scanning data passing the noise test as the cabinet scanning data of the target cabinet.
In one possible example, the cabinet anomaly analysis network further includes a fully-connected network branch of each anomaly analysis connectivity relationship, and the step of constructing the anomaly analysis combination unit of the target cabinet according to the anomaly analysis connectivity relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit thereof includes:
constructing an anomaly analysis combination unit of the target cabinet according to the fully-connected network branches of the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit;
the step of performing anomaly analysis on the cabinet scan data of the target cabinet according to the anomaly analysis unit of the correlation anomaly characteristic of the target anomaly analysis characteristic existing in the anomaly analysis combination unit to obtain an anomaly analysis result comprises the following steps:
an abnormality analysis unit that determines whether or not the associative abnormality characteristic of the target abnormality analysis characteristic is recognized in the abnormality analysis combination unit;
if the target cabinet is identified, determining a fully-connected network branch of an abnormal analysis communication relation between an abnormal analysis unit of the relevance abnormal characteristic of the target abnormal analysis characteristic and an abnormal analysis unit of the target cabinet;
and carrying out anomaly analysis on the cabinet scanning data of the target cabinet according to the fully-connected network branch of the anomaly analysis communication relationship between the anomaly analysis unit of the correlation anomaly characteristic of the target anomaly analysis characteristic and the anomaly analysis unit of the target cabinet, so as to obtain an anomaly analysis result.
In one possible example, in the cabinet anomaly analysis network, extracting, as a target anomaly analysis unit, an anomaly analysis unit having an anomaly analysis communication relationship with an anomaly analysis unit of the target cabinet, the steps including:
and in the cabinet anomaly analysis network, an anomaly analysis unit which has a multi-layer anomaly analysis communication relation with the anomaly analysis unit of the target cabinet is extracted and used as a target anomaly analysis unit.
In one possible example, the step of constructing the anomaly analysis combination unit of the target cabinet according to the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit thereof includes:
and constructing a corresponding abnormality analysis combination unit according to a plurality of fully-connected network branches of the abnormality analysis communication relationship between the abnormality analysis unit of the target cabinet and the target abnormality analysis unit thereof, wherein the abnormality analysis combination unit represents the abnormality analysis communication relationship which is set between the abnormality analysis units in the abnormality analysis combination unit.
According to another aspect of an embodiment of the present invention, there is provided a cabinet scanning processing system applied to a server, the system including:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring cabinet scanning data of a plurality of target cabinets and constructing a cabinet abnormality analysis network, abnormality analysis units in the cabinet abnormality analysis network are in one-to-one correspondence with the target cabinets, and abnormality analysis communication relations among the abnormality analysis units are determined according to the cabinet scanning data of the target cabinets;
the first determining module is used for determining an abnormality analysis unit which has an abnormality analysis communication relation with an abnormality analysis unit of each target cabinet in the cabinet abnormality analysis network as a target abnormality analysis unit;
the construction module is used for constructing an anomaly analysis combination unit of the target cabinet according to the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit;
and the second determining module is used for carrying out anomaly analysis on the cabinet scanning data of the target cabinet according to the anomaly analysis unit of the correlation anomaly characteristic of the target anomaly analysis characteristic in the anomaly analysis combination unit to obtain an anomaly analysis result.
According to another aspect of the embodiments of the present invention, there is provided a readable storage medium having stored thereon a computer program which, when executed by a processor, can perform the steps of the cabinet scanning processing method described above.
Compared with the prior art, the cabinet scanning processing method and system provided by the embodiment of the invention have the advantages that the cabinet scanning data of a plurality of target cabinets are obtained, the cabinet abnormality analysis network is constructed, then for each target cabinet, the abnormality analysis unit which has an abnormality analysis communication relation with the abnormality analysis unit of the target cabinet is determined in the cabinet abnormality analysis network and is used as the target abnormality analysis unit, and the abnormality analysis combination unit of the target cabinet is constructed according to the abnormality analysis communication relation between the abnormality analysis unit of the target cabinet and the target abnormality analysis unit, so that the abnormality analysis is carried out on the cabinet scanning data of the target cabinet according to the abnormality analysis unit of the correlation abnormality characteristics of the target abnormality analysis characteristics in the abnormality analysis combination unit, and the abnormality analysis result is obtained. Therefore, the abnormal analysis and identification of the cabinet scanning data can be realized by combining the abnormal analysis and communication dimension.
The foregoing objects, features and advantages of embodiments of the invention will be more readily apparent from the following detailed description of the embodiments taken in conjunction with the accompanying drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 shows a schematic diagram of components of a server provided by an embodiment of the present invention;
fig. 2 is a schematic flow chart of a cabinet scanning processing method according to an embodiment of the present invention;
FIG. 3 illustrates a functional block diagram of a rack scanning processing system provided by an embodiment of the present invention.
Detailed Description
In order to enable those skilled in the art to better understand the present invention, a technical solution of the present embodiment of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiment of the present invention, and it is apparent that the described embodiment is only a part of the embodiment of the present invention, not all the embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.
The terms first, second, third and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the items of science and technology so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 shows an exemplary component diagram of a server 100. The server 100 may include one or more processors 104, such as one or more Central Processing Units (CPUs), each of which may implement one or more hardware threads. The server 100 may also include any storage medium 106 for storing any kind of information such as code, settings, data, etc. For example, and without limitation, storage medium 106 may include any one or more of the following combinations: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage medium may store information using any technique. Further, any storage medium may provide volatile or non-volatile retention of information. Further, any storage medium may represent fixed or removable components of server 100. In one case, the server 100 may perform any of the operations of the associated instructions when the processor 104 executes the associated instructions stored in any storage medium or combination of storage media. The server 100 also includes one or more drive units 108, such as a hard disk drive unit, an optical disk drive unit, etc., for interacting with any storage media.
The server 100 also includes input/output 110 (I/O) for receiving various inputs (via input unit 112) and for providing various outputs (via output unit 114). One particular output mechanism may include a presentation device 116 and an associated Graphical User Interface (GUI) 118. The server 100 may also include one or more network interfaces 120 for exchanging data with other devices via one or more communication units 122. One or more communication buses 124 couple the components described above together.
The communication unit 122 may be implemented in any manner, for example, via a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. The communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, etc., governed by any protocol or combination of protocols.
Fig. 2 is a flowchart illustrating a cabinet scanning method according to an embodiment of the invention, where the cabinet scanning method may be performed by the server 100 shown in fig. 1, and detailed steps of the cabinet scanning method are described below.
Step S110, cabinet scanning data of a plurality of target cabinets are obtained, and a cabinet abnormality analysis network is constructed, wherein abnormality analysis units in the cabinet abnormality analysis network are in one-to-one correspondence with the target cabinets, and abnormality analysis communication relations among the abnormality analysis units are determined according to the cabinet scanning data of the target cabinets;
step S120, for each target cabinet, determining an abnormality analysis unit having an abnormality analysis communication relation with an abnormality analysis unit of the target cabinet in the cabinet abnormality analysis network as a target abnormality analysis unit;
step S130, constructing an anomaly analysis combination unit of the target cabinet according to the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit;
step S140, performing an anomaly analysis on the cabinet scan data of the target cabinet according to the anomaly analysis unit of the correlation anomaly characteristic of the target anomaly analysis characteristic existing in the anomaly analysis combination unit, to obtain an anomaly analysis result.
According to the above steps, in this embodiment, the rack scan data of a plurality of target racks are obtained, and a rack anomaly analysis network is constructed, then, for each target rack, in the rack anomaly analysis network, an anomaly analysis unit having an anomaly analysis communication relationship with an anomaly analysis unit of the target rack is determined as a target anomaly analysis unit, and an anomaly analysis combination unit of the target rack is constructed according to the anomaly analysis communication relationship between the anomaly analysis unit of the target rack and the target anomaly analysis unit thereof, so that anomaly analysis is performed on the rack scan data of the target rack according to the anomaly analysis unit of the correlation anomaly characteristics of the target anomaly analysis characteristics existing in the anomaly analysis combination unit, thereby obtaining an anomaly analysis result. Therefore, the abnormal analysis and identification of the cabinet scanning data can be realized by combining the abnormal analysis and communication dimension.
In one possible example, for step S110, the embodiment may acquire, from at least one rack scanning component, rack scanning data of an association abnormal feature associated with a target rack, and perform a noise test on the acquired rack scanning data, and use the rack scanning data that passes the noise test as rack scanning data of the target rack.
In a possible example, the cabinet anomaly analysis network further includes a fully connected network branch of each anomaly analysis connectivity relationship, and for step S130, the embodiment may construct the anomaly analysis combination unit of the target cabinet according to the fully connected network branch of the anomaly analysis connectivity relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit thereof.
With respect to step S140, the present embodiment may determine whether or not an abnormality analysis unit of the associative abnormality feature of the target abnormality analysis feature is identified in the abnormality analysis combining unit;
if the full-connection network branch of the abnormal analysis communication relation between the abnormal analysis unit of the correlation abnormal analysis characteristic of the target cabinet and the abnormal analysis unit of the target cabinet is identified, carrying out abnormal analysis on cabinet scanning data of the target cabinet according to the full-connection network branch of the abnormal analysis communication relation between the abnormal analysis unit of the correlation abnormal analysis characteristic of the target cabinet and the abnormal analysis unit of the target cabinet, and obtaining an abnormal analysis result.
In a possible example, with respect to step S120, the present embodiment may extract, as the target abnormality analysis unit, an abnormality analysis unit having a multi-layer abnormality analysis communication relationship with the abnormality analysis unit of the target cabinet in the cabinet abnormality analysis network.
In one possible example, for step S130, the present embodiment may construct a corresponding anomaly analysis combination unit according to a plurality of fully-connected network branches of the anomaly analysis communication relationship between the anomaly analysis unit of the target enclosure and the anomaly analysis unit of the target enclosure, where the anomaly analysis combination unit represents that a set anomaly analysis communication relationship exists between the anomaly analysis units in the anomaly analysis combination unit.
Fig. 3 illustrates a functional block diagram of a cabinet scanning processing system 200 according to an embodiment of the present invention, where functions implemented by the cabinet scanning processing system 200 may correspond to steps performed by the above-described method. The rack scan processing system 200 may be understood as the server 100, or the processor of the server 100, or may be understood as a component that is independent of the server 100 or the processor and that implements the functions of the present invention under the control of the server 100, as shown in fig. 3, and the functions of the functional modules of the rack scan processing system 200 are described in detail below.
The acquiring module 210 is configured to acquire rack scanning data of a plurality of target racks, and construct a rack anomaly analysis network, wherein anomaly analysis units in the rack anomaly analysis network are in one-to-one correspondence with the target racks, and anomaly analysis communication relationships between the anomaly analysis units are determined according to the rack scanning data of the target racks;
a first determining module 220, configured to determine, for each target cabinet, an abnormality analysis unit having an abnormality analysis communication relationship with an abnormality analysis unit of the target cabinet in the cabinet abnormality analysis network, as a target abnormality analysis unit;
a construction module 230, configured to construct an anomaly analysis combination unit of the target rack according to an anomaly analysis communication relationship between the anomaly analysis unit of the target rack and the target anomaly analysis unit thereof;
the second determining module 240 is configured to perform an anomaly analysis on the cabinet scan data of the target cabinet according to the anomaly analysis unit of the correlation anomaly characteristic of the target anomaly analysis characteristic existing in the anomaly analysis combination unit, so as to obtain an anomaly analysis result.
In one possible example, the method for acquiring rack scan data of a plurality of target racks includes:
acquiring cabinet scanning data of association abnormal characteristics associated with a target cabinet from at least one cabinet scanning assembly;
and performing noise test on the acquired cabinet scanning data, and taking the cabinet scanning data passing the noise test as the cabinet scanning data of the target cabinet.
In one possible example, the cabinet anomaly analysis network further includes a fully-connected network branch of each anomaly analysis connectivity relationship, and the method for constructing the anomaly analysis combination unit of the target cabinet according to the anomaly analysis connectivity relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit thereof includes:
constructing an anomaly analysis combination unit of the target cabinet according to the fully-connected network branches of the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit;
the abnormality analysis unit for performing abnormality analysis on the cabinet scan data of the target cabinet according to the correlation abnormality characteristics of the target abnormality analysis characteristics existing in the abnormality analysis combination unit, to obtain an abnormality analysis result, includes:
an abnormality analysis unit that determines whether or not the associative abnormality characteristic of the target abnormality analysis characteristic is recognized in the abnormality analysis combination unit;
if the target cabinet is identified, determining a fully-connected network branch of an abnormal analysis communication relation between an abnormal analysis unit of the relevance abnormal characteristic of the target abnormal analysis characteristic and an abnormal analysis unit of the target cabinet;
and carrying out anomaly analysis on the cabinet scanning data of the target cabinet according to the fully-connected network branch of the anomaly analysis communication relationship between the anomaly analysis unit of the correlation anomaly characteristic of the target anomaly analysis characteristic and the anomaly analysis unit of the target cabinet, so as to obtain an anomaly analysis result.
In one possible example, in the cabinet anomaly analysis network, extracting, as a target anomaly analysis unit, an anomaly analysis unit having an anomaly analysis communication relationship with an anomaly analysis unit of the target cabinet, includes:
and in the cabinet anomaly analysis network, an anomaly analysis unit which has a multi-layer anomaly analysis communication relation with the anomaly analysis unit of the target cabinet is extracted and used as a target anomaly analysis unit.
In one possible example, the method for constructing the anomaly analysis combination unit of the target cabinet according to the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit thereof includes:
and constructing a corresponding abnormality analysis combination unit according to a plurality of fully-connected network branches of the abnormality analysis communication relationship between the abnormality analysis unit of the target cabinet and the target abnormality analysis unit thereof, wherein the abnormality analysis combination unit represents the abnormality analysis communication relationship which is set between the abnormality analysis units in the abnormality analysis combination unit.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any accompanying drawings in the claims should not be taken as limiting the claim concerned.
Claims (10)
1. A cabinet scanning processing method, applied to a server, the method comprising:
acquiring cabinet scanning data of a plurality of target cabinets, and constructing a cabinet anomaly analysis network, wherein anomaly analysis units in the cabinet anomaly analysis network are in one-to-one correspondence with the target cabinets, and anomaly analysis communication relations among the anomaly analysis units are determined according to the cabinet scanning data of the target cabinets;
for each target cabinet, in the cabinet abnormality analysis network, determining an abnormality analysis unit having an abnormality analysis communication relationship with an abnormality analysis unit of the target cabinet as a target abnormality analysis unit;
constructing an anomaly analysis combination unit of the target cabinet according to the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit;
and according to the abnormality analysis unit of the correlation abnormality characteristic of the target abnormality analysis characteristic in the abnormality analysis combination unit, performing abnormality analysis on the cabinet scanning data of the target cabinet to obtain an abnormality analysis result.
2. The cabinet scanning processing method according to claim 1, wherein the step of acquiring cabinet scanning data of a plurality of target cabinets includes:
acquiring cabinet scanning data of association abnormal characteristics associated with a target cabinet from at least one cabinet scanning assembly;
and performing noise test on the acquired cabinet scanning data, and taking the cabinet scanning data passing the noise test as the cabinet scanning data of the target cabinet.
3. The cabinet scan processing method according to claim 1, wherein the cabinet anomaly analysis network further includes a fully connected network branch of each anomaly analysis connectivity relationship, and the step of constructing the anomaly analysis combination unit of the target cabinet according to the anomaly analysis connectivity relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit thereof includes:
constructing an anomaly analysis combination unit of the target cabinet according to the fully-connected network branches of the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit;
the step of performing anomaly analysis on the cabinet scan data of the target cabinet according to the anomaly analysis unit of the correlation anomaly characteristic of the target anomaly analysis characteristic existing in the anomaly analysis combination unit to obtain an anomaly analysis result comprises the following steps:
an abnormality analysis unit that determines whether or not the associative abnormality characteristic of the target abnormality analysis characteristic is recognized in the abnormality analysis combination unit;
if the target cabinet is identified, determining a fully-connected network branch of an abnormal analysis communication relation between an abnormal analysis unit of the relevance abnormal characteristic of the target abnormal analysis characteristic and an abnormal analysis unit of the target cabinet;
and carrying out anomaly analysis on the cabinet scanning data of the target cabinet according to the fully-connected network branch of the anomaly analysis communication relationship between the anomaly analysis unit of the correlation anomaly characteristic of the target anomaly analysis characteristic and the anomaly analysis unit of the target cabinet, so as to obtain an anomaly analysis result.
4. The cabinet scanning processing method according to claim 1, wherein in the cabinet anomaly analysis network, the step of extracting, as the target anomaly analysis unit, an anomaly analysis unit having an anomaly analysis communication relationship with the anomaly analysis unit of the target cabinet, comprises:
and in the cabinet anomaly analysis network, an anomaly analysis unit which has a multi-layer anomaly analysis communication relation with the anomaly analysis unit of the target cabinet is extracted and used as a target anomaly analysis unit.
5. The cabinet scanning processing method according to claim 4, wherein the step of constructing the anomaly analysis combining unit of the target cabinet according to the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit thereof comprises:
and constructing a corresponding abnormality analysis combination unit according to a plurality of fully-connected network branches of the abnormality analysis communication relationship between the abnormality analysis unit of the target cabinet and the target abnormality analysis unit thereof, wherein the abnormality analysis combination unit represents the abnormality analysis communication relationship which is set between the abnormality analysis units in the abnormality analysis combination unit.
6. A rack scanning processing system for use with a server, the system comprising:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring cabinet scanning data of a plurality of target cabinets and constructing a cabinet abnormality analysis network, abnormality analysis units in the cabinet abnormality analysis network are in one-to-one correspondence with the target cabinets, and abnormality analysis communication relations among the abnormality analysis units are determined according to the cabinet scanning data of the target cabinets;
the first determining module is used for determining an abnormality analysis unit which has an abnormality analysis communication relation with an abnormality analysis unit of each target cabinet in the cabinet abnormality analysis network as a target abnormality analysis unit;
the construction module is used for constructing an anomaly analysis combination unit of the target cabinet according to the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit;
and the second determining module is used for carrying out anomaly analysis on the cabinet scanning data of the target cabinet according to the anomaly analysis unit of the correlation anomaly characteristic of the target anomaly analysis characteristic in the anomaly analysis combination unit to obtain an anomaly analysis result.
7. The rack scanning processing system of claim 6, wherein the means for acquiring rack scan data for a plurality of target racks comprises:
acquiring cabinet scanning data of association abnormal characteristics associated with a target cabinet from at least one cabinet scanning assembly;
and performing noise test on the acquired cabinet scanning data, and taking the cabinet scanning data passing the noise test as the cabinet scanning data of the target cabinet.
8. The cabinet scan processing system according to claim 6, wherein the cabinet anomaly analysis network further includes a fully connected network branch of each anomaly analysis connectivity relationship, the method for constructing the anomaly analysis combination unit of the target cabinet according to the anomaly analysis connectivity relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit thereof includes:
constructing an anomaly analysis combination unit of the target cabinet according to the fully-connected network branches of the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit;
the abnormality analysis unit for performing abnormality analysis on the cabinet scan data of the target cabinet according to the correlation abnormality characteristics of the target abnormality analysis characteristics existing in the abnormality analysis combination unit, to obtain an abnormality analysis result, includes:
an abnormality analysis unit that determines whether or not the associative abnormality characteristic of the target abnormality analysis characteristic is recognized in the abnormality analysis combination unit;
if the target cabinet is identified, determining a fully-connected network branch of an abnormal analysis communication relation between an abnormal analysis unit of the relevance abnormal characteristic of the target abnormal analysis characteristic and an abnormal analysis unit of the target cabinet;
and carrying out anomaly analysis on the cabinet scanning data of the target cabinet according to the fully-connected network branch of the anomaly analysis communication relationship between the anomaly analysis unit of the correlation anomaly characteristic of the target anomaly analysis characteristic and the anomaly analysis unit of the target cabinet, so as to obtain an anomaly analysis result.
9. The cabinet scan processing system according to claim 6, wherein in the cabinet anomaly analysis network, an anomaly analysis unit having an anomaly analysis communication relationship with an anomaly analysis unit of the target cabinet is extracted as the target anomaly analysis unit, comprising:
and in the cabinet anomaly analysis network, an anomaly analysis unit which has a multi-layer anomaly analysis communication relation with the anomaly analysis unit of the target cabinet is extracted and used as a target anomaly analysis unit.
10. The cabinet scan processing system according to claim 9, wherein the means for constructing the anomaly analysis combination unit of the target cabinet according to the anomaly analysis communication relationship between the anomaly analysis unit of the target cabinet and the target anomaly analysis unit thereof comprises:
and constructing a corresponding abnormality analysis combination unit according to a plurality of fully-connected network branches of the abnormality analysis communication relationship between the abnormality analysis unit of the target cabinet and the target abnormality analysis unit thereof, wherein the abnormality analysis combination unit represents the abnormality analysis communication relationship which is set between the abnormality analysis units in the abnormality analysis combination unit.
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| WO2021189654A1 (en) * | 2020-03-27 | 2021-09-30 | 深圳光启超材料技术有限公司 | Abnormal region determination method, head-mounted device, and storage medium |
| WO2022083226A1 (en) * | 2020-10-21 | 2022-04-28 | 中兴通讯股份有限公司 | Anomaly identification method and system, storage medium and electronic device |
| CN112769632A (en) * | 2020-11-30 | 2021-05-07 | 锐捷网络股份有限公司 | Method and system for detecting network fault of data center |
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