CN111626662B - Method for extracting warehouse network monitoring information - Google Patents
Method for extracting warehouse network monitoring information Download PDFInfo
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- CN111626662B CN111626662B CN202010332272.7A CN202010332272A CN111626662B CN 111626662 B CN111626662 B CN 111626662B CN 202010332272 A CN202010332272 A CN 202010332272A CN 111626662 B CN111626662 B CN 111626662B
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- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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Abstract
The invention discloses a method for extracting warehouse network monitoring information, which comprises the following steps: s1: setting a substitute name of a field to be extracted, wherein the field to be extracted comprises a network environment name, a source IP, a destination IP, a special code and an authority code; s2: establishing one-to-one correspondence between different fields in the original monitoring information and the substitute names of the fields to be extracted; s3: setting a transfer storage area, and temporarily storing original monitoring information by using the transfer storage area; s4: extracting fields corresponding to the substitute names of the fields to be extracted from the original monitoring information temporarily stored in the intermediate storage area according to the one-to-one correspondence relationship; s5: recombining the extracted fields according to the original arrangement sequence of the fields to obtain recombined monitoring information, and carrying out similarity matching on the recombined monitoring information and the original monitoring information; s6: and taking the recombined monitoring information with the similarity higher than a preset value as final monitoring information. By applying the invention, the network monitoring information can be extracted more accurately and effectively.
Description
Technical Field
The invention relates to the technical field of logistics networks, in particular to a method for extracting warehouse network monitoring information.
Background
With the explosive development of the logistics industry, a plurality of logistics companies are produced, and the warehousing industry closely related to the logistics industry is changed greatly. The problems of vigorous warehouse construction, research and development of various internal and external systems, increase of personnel base number and the like also come along with the information monitoring, so that the information monitoring becomes an essential link for considering data security, and how to extract network monitoring information becomes a problem which needs to be considered.
The existing methods for extracting network monitoring information cannot be perfectly applied to the environment of the warehouse, and the warehouse network information monitoring has the following difficulties and pain points:
1. the amount of information of the monitoring information is large, so that the storage amount is large, most companies only keep recent information due to cost, and the later searching for historical information and tracing responsibility are difficult.
2. Information searching is time-consuming and labor-consuming, information to be searched cannot be quickly and accurately positioned, the comparison of similar information is difficult, and operation such as problem judgment cannot be basically realized.
Disclosure of Invention
The invention aims to provide a method for extracting warehouse network monitoring information, which can extract the network monitoring information more accurately and effectively.
In order to solve the technical problems, the invention adopts a technical scheme that: the method for extracting the warehouse network monitoring information is provided, and comprises the following steps; s1: setting a substitute name of a field to be extracted, wherein the field to be extracted comprises a network environment name, a source IP, a destination IP, a special code and an authority code; s2: establishing one-to-one correspondence between different fields in the original monitoring information and the substitute names of the fields to be extracted; s3: setting a transfer storage area, and temporarily storing original monitoring information by using the transfer storage area; s4: extracting fields corresponding to the substitute names of the fields to be extracted from the original monitoring information temporarily stored in the intermediate storage area according to the one-to-one correspondence; s5: recombining the extracted fields according to the original arrangement sequence of the fields to obtain recombined monitoring information, and carrying out similarity matching on the recombined monitoring information and the original monitoring information; s6: and taking the recombined monitoring information with the similarity higher than a preset value as final monitoring information.
Preferably, the step S6 further includes: and feeding back the recombined monitoring information with the similarity lower than the preset value according to a preset strategy.
Preferably, the step S2 specifically includes: and establishing a one-to-one corresponding relation between the special codes and the authority codes in the original monitoring information and the substitute names of the fields to be extracted.
Preferably, the step S3 further includes: and after the recombined monitoring information is obtained, deleting the temporarily stored original monitoring information after the preset temporarily storing time length.
Preferably, in step S5, the step of matching the similarity between the restructured monitoring information and the original monitoring information specifically includes: and comparing the interpreted sentences of the fields of the original monitoring information with the interpreted sentences of the fields of the recombined monitoring information to determine the similarity.
Preferably, the field to be extracted further includes a custom field.
Different from the prior art, the invention has the beneficial effects that:
1. the invention greatly shortens the field of the monitoring information while ensuring the validity of the monitoring information;
2. according to the invention, the monitoring information is recombined in a mode of setting the substitute name of the field to be extracted, great convenience is provided for operations such as later-stage searching, and the information display mode is clearer;
3. the monitoring information is checked by adopting a similarity matching mode, so that the accuracy of the monitoring information is improved, and the production efficiency is improved.
Drawings
Fig. 1 is a schematic flowchart of a method for extracting warehouse network monitoring information according to an embodiment of the present invention.
FIG. 2 is a content screenshot of original monitoring information in one application.
Fig. 3 is a screenshot of the extracted field obtained by extracting the original monitoring information according to the extraction method of this embodiment.
Fig. 4 is a screenshot of the content of the recombined monitoring information obtained by the extraction method of this embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the method for extracting the warehouse network monitoring information according to the embodiment of the present invention includes the following steps;
s1: and setting a substitute name of a field to be extracted, wherein the field to be extracted comprises a network environment name, a source IP, a destination IP, a special code and an authority code.
Many fields but not all fields in the monitoring information have values, and operations in different environments generate worthless fields, so that the valuable fields need to be determined as fields to be extracted. The network environment name may be used to determine from which system platform the monitoring information originates; the source IP can be used for determining the source IP in the monitoring information; the destination IP can be used for determining the destination IP in the monitoring information; the special code can be used for determining a port occupation code of the monitoring information; the authorization code may be used to determine system authorization to monitor information. The original names of the special codes and the authority codes are complex, and the information length can be simplified by setting alternative names, for example, the name of the special code in the monitoring information is Port 8080 overload in use, and the alternative name is SA 0010; the name of the authority code in the monitoring information is root permit, and the alternative name is S001. In this embodiment, the field to be extracted further includes a custom field, and the custom field may be used to determine other necessary information of the monitoring information.
S2: and establishing a one-to-one corresponding relation between different fields in the original monitoring information and the substitute names of the fields to be extracted.
In this embodiment, step S2 specifically includes: and establishing a one-to-one corresponding relation between the special codes and the authority codes in the original monitoring information and the substitute names of the fields to be extracted. That is, a one-to-one correspondence relationship between the special codes in the original monitoring information and the special codes in the fields to be extracted is established, and a one-to-one correspondence relationship between the authority codes in the original monitoring information and the authority codes in the fields to be extracted is established.
S3: and setting a transfer storage area, and temporarily storing the original monitoring information by using the transfer storage area.
The transit storage area can be provided by a transit server, and all original monitoring information is uploaded to the transit server. In order to reduce the storage pressure of the relay server, the step S3 further includes: and after the recombined monitoring information is obtained, deleting the temporarily stored original monitoring information after the preset temporarily storing time length.
S4: and extracting fields corresponding to the substitute names of the fields to be extracted from the original monitoring information temporarily stored in the intermediate storage area according to the one-to-one correspondence relationship.
Wherein, the specific extraction process is as follows: the method comprises the steps of firstly determining fields corresponding to the substitute names of the fields to be extracted in original monitoring information temporarily stored in a transfer storage area, and then extracting the fields from the original monitoring information. As shown in fig. 2, which is a screenshot of the original monitoring information, the underlined part in the screenshot is a field corresponding to the substitute name of the field to be extracted. As shown in fig. 3, is a screenshot of the extracted fields.
S5: and recombining the extracted fields according to the original arrangement sequence of the fields to obtain recombined monitoring information, and performing similarity matching on the recombined monitoring information and the original monitoring information.
As shown in fig. 4, a screenshot of the recombined monitoring information is shown.
The similarity refers to the proportion of the same content in the original monitoring information as the recombined monitoring information in all the content of the original monitoring information. In this embodiment, in step S5, the step of performing similarity matching between the restructured monitoring information and the original monitoring information specifically includes: and comparing the interpreted sentences of the fields of the original monitoring information with the interpreted sentences of the fields of the recombined monitoring information to determine the similarity.
S6: and taking the recombined monitoring information with the similarity higher than a preset value as final monitoring information.
Wherein, the final monitoring information can be output or displayed. In this embodiment, step S6 further includes: and feeding back the recombined monitoring information with the similarity lower than the preset value according to a preset strategy. For example, the reorganization monitoring information with the similarity lower than the preset value is fed back to a designated administrator, and the administrator determines whether to add a special code and an authority list.
Through the mode, the method for extracting the warehouse network monitoring information can extract the network monitoring information more accurately and effectively by introducing certain means and strategies while extracting the network monitoring information. Therefore, the problems existing in the prior art when the information quantity is large and the searching is difficult are effectively solved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (6)
1. The method for extracting the warehouse network monitoring information is characterized by comprising the following steps of;
s1: setting a substitute name of a field to be extracted, wherein the field to be extracted comprises a network environment name, a source IP, a destination IP, a special code and an authority code;
s2: establishing one-to-one correspondence between different fields in the original monitoring information and the substitute names of the fields to be extracted;
s3: setting a transfer storage area, and temporarily storing original monitoring information by using the transfer storage area;
s4: extracting fields corresponding to the substitute names of the fields to be extracted from the original monitoring information temporarily stored in the intermediate storage area according to the one-to-one correspondence;
s5: recombining the extracted fields according to the original arrangement sequence of the fields to obtain recombined monitoring information, and carrying out similarity matching on the recombined monitoring information and the original monitoring information;
s6: and taking the recombined monitoring information with the similarity higher than a preset value as final monitoring information.
2. The extraction method according to claim 1, wherein the step S6 further includes: and feeding back the recombined monitoring information with the similarity lower than the preset value according to a preset strategy.
3. The extraction method according to claim 1 or 2, wherein the step S2 is specifically:
and establishing a one-to-one corresponding relation between the special codes and the authority codes in the original monitoring information and the substitute names of the fields to be extracted.
4. The extraction method according to claim 3, wherein the step S3 further includes: and after the recombined monitoring information is obtained, deleting the temporarily stored original monitoring information after the preset temporarily storing time length.
5. The extraction method according to claim 1, wherein in the step S5, the step of performing similarity matching between the restructured monitoring information and the original monitoring information specifically comprises:
and comparing the interpreted sentences of the fields of the original monitoring information with the interpreted sentences of the fields of the recombined monitoring information to determine the similarity.
6. The extraction method according to claim 1, wherein the field to be extracted further comprises a custom field.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109218131A (en) * | 2018-09-03 | 2019-01-15 | 平安医疗健康管理股份有限公司 | Method for monitoring network, device, computer equipment and storage medium |
| CN110019566A (en) * | 2019-03-13 | 2019-07-16 | 平安信托有限责任公司 | Data checking, device, computer equipment and storage medium based on data warehouse |
| CN110515943A (en) * | 2019-07-30 | 2019-11-29 | 恩亿科(北京)数据科技有限公司 | Data storage, querying method and equipment, data processing equipment, storage medium |
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| US11442953B2 (en) * | 2016-03-31 | 2022-09-13 | Mckesson Corporation | Methods and apparatuses for improved data ingestion using standardized plumbing fields |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109218131A (en) * | 2018-09-03 | 2019-01-15 | 平安医疗健康管理股份有限公司 | Method for monitoring network, device, computer equipment and storage medium |
| CN110019566A (en) * | 2019-03-13 | 2019-07-16 | 平安信托有限责任公司 | Data checking, device, computer equipment and storage medium based on data warehouse |
| CN110515943A (en) * | 2019-07-30 | 2019-11-29 | 恩亿科(北京)数据科技有限公司 | Data storage, querying method and equipment, data processing equipment, storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 适用轨道交通AFC系统数据仓库技术的研究及应用;陆忠良;《中国优秀硕士学位论文全文数据库 信息科技辑》;20080815(第8期);第I138-441页 * |
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