CN117194350A - Document storage method and system in engineering construction stage of data center - Google Patents
Document storage method and system in engineering construction stage of data center Download PDFInfo
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- CN117194350A CN117194350A CN202311464683.1A CN202311464683A CN117194350A CN 117194350 A CN117194350 A CN 117194350A CN 202311464683 A CN202311464683 A CN 202311464683A CN 117194350 A CN117194350 A CN 117194350A
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Abstract
The application provides a data center engineering construction stage document storage method and a data center engineering construction stage document storage system, which are used for carrying out privacy division on a historical engineering construction stage document set, further carrying out encryption storage on the historical engineering construction stage privacy document set, determining a document likelihood value of each historical engineering construction stage public document in the historical engineering construction stage public document set, carrying out likelihood classification on each historical engineering construction stage public document in the historical engineering construction stage public document set, determining a likelihood transition document of each engineering construction stage public document likelihood initial cluster, further determining likelihood document coefficients, and taking all engineering construction stage public document likelihood initial clusters as engineering construction stage public document likelihood clusters when the likelihood document coefficients are lower than a preset document likelihood threshold value, and storing real-time engineering construction stage documents according to the engineering construction stage public document likelihood clusters, so that the calling difficulty of the engineering construction stage documents can be reduced.
Description
Technical Field
The application relates to the technical field of data centers, in particular to a document storage method and a document storage system in a data center engineering construction stage.
Background
A data center is a physical or virtual facility for centrally storing, managing and handling a large number of computer servers, network devices, storage devices and related components, and is a core component of a modern information technology infrastructure, commonly used to host computing and data storage requirements of enterprises, and its main features include: servers, network devices, storage devices, management and monitoring, etc., the data center plays a key role in supporting the IT requirements of enterprises, internet services, cloud computing, big data analysis, etc.
The document storage in the engineering construction stage of the data center refers to the process of recording and storing all documents, files and data related to engineering projects when the data center is designed, constructed and deployed, and the storage and management of the documents usually involve the use of a document management system or an electronic document archiving system.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method and a system for storing documents in a data center engineering construction stage, which are used for storing documents in a data center engineering construction stage.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, the present application provides a method for storing documents in a data center engineering construction stage, including the steps of:
starting document storage of a data center, and acquiring a document set of a historical engineering construction stage of the data center;
performing privacy division on the historical engineering construction stage document set to obtain a historical engineering construction stage privacy document set and a historical engineering construction stage public document set, and performing encryption storage on the historical engineering construction stage privacy document set;
determining a document likelihood value of each historical engineering construction stage public document in the historical engineering construction stage public document set, determining a likelihood initial document set of the historical engineering construction stage public document set according to all the document likelihood values, and likelihood classifying each historical engineering construction stage public document in the historical engineering construction stage public document set by the likelihood initial document set to obtain a plurality of engineering construction stage public document likelihood initial clusters;
determining likelihood transition documents of likelihood initial clusters of the public documents in each engineering construction stage, and determining likelihood document coefficients according to each likelihood transition document and the likelihood initial document corresponding to the likelihood transition document;
when the likelihood document coefficient is lower than a preset document likelihood threshold, taking all the project construction stage public document likelihood initial clusters as project construction stage public document likelihood clusters, and storing real-time project construction stage documents according to the project construction stage public document likelihood clusters.
In some embodiments, performing privacy division on the historical engineering construction stage document set to obtain a historical engineering construction stage privacy document set and a historical engineering construction stage public document set may specifically include:
acquiring a privacy value of each historical engineering construction stage document in the historical engineering construction stage document set, wherein the privacy value is 0 or 1;
when the privacy value is 1, taking the historical engineering construction stage document corresponding to the privacy value as the historical engineering construction stage privacy document, and further obtaining a historical engineering construction stage privacy document set;
when the privacy value is 0, taking the historical engineering construction stage document corresponding to the privacy value as the historical engineering construction stage public document, and further obtaining a historical engineering construction stage public document set.
In some embodiments, determining the document likelihood value for each historical engineering construction phase publication document in the set of historical engineering construction phase publications specifically includes:
acquiring document creation time and latest access time of each historical engineering construction stage public document;
determining a document cooling value of the public document in the historical engineering construction stage according to the document creation time and the latest access time;
acquiring the access times of the public document of each historical engineering construction stage;
determining a document importance value of the history engineering construction stage public document according to the access times;
and determining the document likelihood value of each historical engineering construction stage public document according to the document cooling value and the document importance value of the historical engineering construction stage public document.
In some embodiments, the document likelihood value of the historical engineering construction stage publication document may be determined using the following formula:
wherein,indicate->Document likelihood value of individual history engineering construction stage publication document,/->Indicate->Document cooling value of individual history engineering construction phase publication document,/->Indicate->Each history engineering construction stageDocument importance value of public document,/->And->Represents the weight coefficient, and->。
In some embodiments, likelihood classification is performed on each historical engineering construction stage publication document in the set of historical engineering construction stage publications documents by the set of likelihood initial documents, and obtaining the plurality of engineering construction stage publication document likelihood initial clusters may specifically include:
determining a classification value of each historical engineering construction stage public document in the historical engineering construction stage public document set and each likelihood initial document in the likelihood initial document set respectively;
and classifying each historical engineering construction stage public document in the historical engineering construction stage public document set according to the classification value to obtain a plurality of engineering construction stage public document likelihood initial clusters.
In some embodiments, determining the likelihood transition document for each engineering construction stage publication likelihood initial cluster specifically includes:
determining a document likelihood transition value of a public document likelihood initial cluster in each engineering construction stage;
and determining a likelihood transition document of the public document likelihood initial cluster in the engineering construction stage according to the document likelihood transition value.
In some embodiments, further comprising:
when the likelihood document coefficient exceeds a preset document likelihood threshold value, each likelihood transition document is replaced with a likelihood initial document corresponding to the likelihood transition document, and a replaced likelihood initial document is obtained;
carrying out likelihood classification on each historical engineering construction stage public document in the historical engineering construction stage public document set again by using the replaced likelihood initial document to obtain a new engineering construction stage public document likelihood initial cluster;
determining a new likelihood document system according to the new engineering construction stage public document likelihood initial cluster;
repeating the steps until the new likelihood document is lower than the preset document likelihood threshold.
In a second aspect, the present application provides a data center engineering construction phase document storage system, comprising:
the document storage starting module is used for starting document storage of the data center and acquiring a document set of a historical engineering construction stage of the data center;
the historical engineering construction stage document set dividing module is used for carrying out privacy division on the historical engineering construction stage document set to obtain a historical engineering construction stage privacy document set and a historical engineering construction stage public document set, and carrying out encryption storage on the historical engineering construction stage privacy document set;
the project construction stage public document likelihood initial cluster obtaining module is used for determining the document likelihood value of each historical project construction stage public document in the historical project construction stage public document set, determining the likelihood initial document set of the historical project construction stage public document set according to all the document likelihood values, and likelihood classifying each historical project construction stage public document in the historical project construction stage public document set by the likelihood initial document set to obtain a plurality of project construction stage public document likelihood initial clusters;
the likelihood document coefficient determining module is used for determining likelihood transition documents of the likelihood initial clusters of the public documents in each engineering construction stage, and determining likelihood document coefficients according to each likelihood transition document and the likelihood initial document corresponding to the likelihood transition document;
and the engineering construction stage document storage module is used for storing real-time engineering construction stage documents according to the engineering construction stage public document likelihood clusters by taking all engineering construction stage public document likelihood initial clusters as engineering construction stage public document likelihood clusters when the likelihood document coefficient is lower than a preset document likelihood threshold.
In a third aspect, the present application provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the data center engineering construction phase document storage method of any one of the above described aspects when the computer program is executed.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the data center engineering construction phase document storage method of any one of the above.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
in the data center project construction stage document storage method and system provided by the application, firstly, document storage of a data center is started, a history project construction stage document set of the data center is obtained, privacy division is carried out on the history project construction stage document set to obtain a history project construction stage privacy document set and a history project construction stage public document set, encryption storage is carried out on the history project construction stage privacy document set, the document likelihood value of each history project construction stage public document in the history project construction stage public document set is determined, the likelihood initial document set of each history project construction stage public document set is determined according to all the document likelihood values, likelihood initial clusters of each history project construction stage public document in the history project construction stage public document set are obtained, likelihood transition documents of likelihood initial clusters of each project construction stage public document are determined, likelihood document coefficients of each likelihood initial cluster are determined according to each likelihood transition document and likelihood initial document corresponding to the likelihood transition documents, when the likelihood document coefficients are lower than a preset document likelihood threshold, all the project construction stage public document initial likelihood documents are used as likelihood documents, the likelihood documents of each likelihood document can be determined by the likelihood documents of each history project construction stage public document in the history construction stage public document set according to the likelihood initial cluster, and each likelihood document of the likelihood initial clusters can be determined, thereby, the history project construction stage public document can be stored in real time, and finally, classifying and storing the real-time engineering construction stage documents according to the engineering construction stage public document likelihood clusters.
Drawings
FIG. 1 is a flow chart of a method for storing documents during the engineering construction phase of a data center according to some embodiments of the present application;
FIG. 2 is a block diagram of a document storage system at a data center engineering construction stage in accordance with some embodiments of the present application;
fig. 3 is an internal block diagram of a computer device in some embodiments of the application.
Detailed Description
The core of the application is to start the document storage of a data center, acquire a historical engineering construction stage document set of the data center, carry out privacy division on the historical engineering construction stage document set to obtain a historical engineering construction stage privacy document set and a historical engineering construction stage public document set, carry out encryption storage on the historical engineering construction stage privacy document set, determine the document likelihood value of each historical engineering construction stage public document in the historical engineering construction stage public document set, determine the likelihood initial document set of the historical engineering construction stage public document set according to all the document likelihood values, carry out likelihood classification on each historical engineering construction stage public document in the historical engineering construction stage public document set by the likelihood initial document set to obtain a plurality of engineering construction stage public document likelihood initial clusters, determine likelihood transition documents of each engineering construction stage public document initial cluster, determine likelihood document coefficients according to each likelihood transition document and likelihood initial document corresponding to the likelihood transition documents, take all the engineering stage public document likelihood initial clusters as engineering construction stage public document likelihood values when the likelihood document coefficients are lower than preset document likelihood threshold values, determine the likelihood documents of each engineering stage public document in the historical construction stage public document initial cluster by the likelihood initial cluster, and then carry out the establishment of the historical construction stage public document initial cluster by the likelihood initial cluster, thereby obtaining the historical construction stage public document initial cluster by the likelihood initial cluster, and each historical construction stage public document is determined, finally, classifying and storing the real-time engineering construction stage documents according to the engineering construction stage public document likelihood clusters, and compared with the prior art that the documents are stored in a management system in a disordered manner, the scheme of the application greatly reduces the calling difficulty of the engineering construction stage documents.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to FIG. 1, which is an exemplary flowchart of a data center engineering construction phase document storage method according to some embodiments of the present application, the data center engineering construction phase document storage method 100 mainly includes the steps of:
in step 101, document storage of a data center is started, and a document set of a historical engineering construction stage of the data center is obtained.
In specific implementation, a historical engineering construction stage document set of the data center can be obtained through a database of the data center, and it is to be noted that the historical engineering construction stage document set in the application refers to a historical engineering construction stage document set in the data center, the historical engineering construction stage document set contains all historical engineering construction stage documents in the data center, and the historical engineering construction stage documents refer to engineering construction stage documents created in the past, and are not described herein again.
In step 102, privacy division is performed on the historical engineering construction stage document set to obtain a historical engineering construction stage privacy document set and a historical engineering construction stage public document set, and the historical engineering construction stage privacy document set is stored in an encrypted mode.
In some embodiments, privacy division is performed on the document set of the historical engineering construction stage, and obtaining the privacy document set of the historical engineering construction stage and the public document set of the historical engineering construction stage can be achieved by the following steps:
acquiring a privacy value of each historical engineering construction stage document in the historical engineering construction stage document set, wherein the privacy value is 0 or 1;
when the privacy value is 1, taking the historical engineering construction stage document corresponding to the privacy value as the historical engineering construction stage privacy document, and further obtaining a historical engineering construction stage privacy document set;
when the privacy value is 0, taking the historical engineering construction stage document corresponding to the privacy value as the historical engineering construction stage public document, and further obtaining a historical engineering construction stage public document set.
In concrete implementation, the application acquires all privacy documents of the historical engineering construction stage, and takes the collection of all privacy documents of the historical engineering construction stage as a privacy document collection of the historical engineering construction stage; and acquiring all the historical engineering construction stage public documents, and taking the collection of all the historical engineering construction stage public documents as a historical engineering construction stage public document collection.
In the application, after the project construction stage document is created, privacy judgment is performed on the project construction stage document, if the project construction stage document cannot be disclosed, the privacy value of the project construction stage document is set to 1, if the project construction stage document can be disclosed, the privacy value of the project construction stage document is set to 0, and in other embodiments, other methods can be used to set the privacy value, which is not limited herein.
In addition, in specific implementation, the privacy document set in the history engineering construction stage can be stored in a designated hard disk, and the hard disk is encrypted by using a BitLocker in the prior art.
In step 103, determining a document likelihood value of each historical engineering construction stage public document in the historical engineering construction stage public document set, determining a likelihood initial document set of the historical engineering construction stage public document set according to all the document likelihood values, and likelihood classifying each historical engineering construction stage public document in the historical engineering construction stage public document set by the likelihood initial document set to obtain a plurality of engineering construction stage public document likelihood initial clusters.
In some embodiments, determining the document likelihood value for each historical engineering stage publication document in the set of historical engineering stage publications may be accomplished by:
acquiring document creation time and latest access time of each historical engineering construction stage public document;
determining a document cooling value of the public document in the historical engineering construction stage according to the document creation time and the latest access time;
acquiring the access times of the public document of each historical engineering construction stage;
determining a document importance value of the history engineering construction stage public document according to the access times;
and determining the document likelihood value of each historical engineering construction stage public document according to the document cooling value and the document importance value of the historical engineering construction stage public document.
In concrete implementation, the document creation time and the latest access time of each historical engineering construction stage public document are obtained from the attributes by searching the attributes of each historical engineering construction stage public document; initializing a document cooling value of 1 from document creation, subtracting 0.1 from the document cooling value every time the unused time exceeds 10 days, decrementing the document cooling value from 1 to 0 according to the unused time, replacing the document creation time with the latest access time of the document if the document has the latest access time after the document creation, and determining the document cooling value, for example, when the unused time of the document is 0 to 10 days, the document cooling value of the document is 1, when the unused time of the document is 10 to 20 days, the document cooling value of the document is 0.9, when the unused time of the document is 50 to 60 days, the document cooling value of the document is 0.5, and so on, when the unused time of the document exceeds 100 days, the document cooling value of the document is 0; and acquiring the access times of the public document in each historical engineering construction stage in one month.
In some embodiments, determining the document importance value of the historical engineering construction stage publication document based on the number of accesses may be determined using the following formula:
wherein,indicate->Document importance value of individual history engineering construction stage publication document,/->Indicate->The number of accesses to the disclosure document of the history engineering construction phase,/->Maximum value of visit times of history engineering construction stage public file, which represents history engineering construction stage public file concentration,/>And the minimum value of the access times of the history engineering construction stage public documents in the history engineering construction stage public document collection is represented.
In some embodiments, determining the document likelihood value for each historical engineering construction stage publication document from the document cooling value and the document importance value for that historical engineering construction stage publication document may be determined using the following formula:
wherein,indicate->Document likelihood value of individual history engineering construction stage publication document,/->Indicate->Document cooling value of individual history engineering construction phase publication document,/->Indicate->Document importance value of individual history engineering construction stage publication document,/->And->Represents the weight coefficient, and->。
It should be noted that the weight coefficient in the present application may be determined by a machine learning method in the prior art, and may be determined by other methods in other embodiments, which is not limited herein.
In particular, in some embodiments, N document likelihood values are randomly selected, a public document corresponding to the document likelihood values as a likelihood initial document of the public document set of the historical engineering construction stage is used as a likelihood initial document set, and all likelihood initial documents are collected as the likelihood initial document set.
It should be noted that, in the present application, the random selection of the N document likelihood values may be implemented by using a monte carlo method in the prior art, and in other embodiments, other methods may also be implemented, which is not limited herein.
In some embodiments, the likelihood initial document set performs likelihood classification on each historical engineering construction stage public document in the historical engineering construction stage public document set, so as to obtain likelihood initial clusters of a plurality of engineering construction stage public documents, wherein the likelihood initial clusters can be realized by the following steps:
determining a classification value of each historical engineering construction stage public document in the historical engineering construction stage public document set and each likelihood initial document in the likelihood initial document set respectively;
and classifying each historical engineering construction stage public document in the historical engineering construction stage public document set according to the classification value to obtain a plurality of engineering construction stage public document likelihood initial clusters.
And in concrete implementation, classifying each historical engineering construction stage public document in the historical engineering construction stage public document set into an engineering construction stage public document likelihood initial cluster corresponding to the minimum classification value of the historical engineering construction stage public document to obtain a plurality of engineering construction stage public document likelihood initial clusters.
It should be noted that, in the present application, each likelihood initial document in the likelihood initial document set corresponds to a likelihood initial cluster of the public document in the engineering construction stage.
In some embodiments, the classification value of each historical engineering construction stage publication document in the set of historical engineering construction stage publications and each likelihood initial document in the set of likelihood initial documents, respectively, may be determined using the following formula:
wherein,represents +.about.in the history engineering construction stage publication set>Disclosure document of historical engineering construction stage and the first->Classification value of the individual likelihood initial documents, +.>Indicate->Document likelihood value of individual history engineering construction stage publication document,/->Indicate->Document likelihood values for each likelihood initial document.
In step 104, a likelihood transition document of a likelihood initial cluster of the public document at each engineering construction stage is determined, and a likelihood document coefficient is determined according to each likelihood transition document and the likelihood initial document corresponding to the likelihood transition document.
In some embodiments, determining the likelihood transition document for each engineering construction stage publication likelihood initial cluster may be accomplished by:
determining a document likelihood transition value of a public document likelihood initial cluster in each engineering construction stage;
and determining a likelihood transition document of the public document likelihood initial cluster in the engineering construction stage according to the document likelihood transition value.
In concrete implementation, the document likelihood values of all historical engineering construction stage public documents in each engineering construction stage public document likelihood initial cluster are differenced with the document likelihood transition values of the engineering construction stage public document likelihood initial cluster, the likelihood initial document of the engineering construction stage public document likelihood initial cluster is replaced according to the historical engineering construction stage public document corresponding to the minimum difference value, the replaced likelihood initial document is used as the likelihood transition document of the engineering construction stage public document likelihood initial cluster,
in some embodiments, determining the document likelihood transition value for each engineering construction stage publication document likelihood initial cluster may be accomplished by:
determination of the firstThe first ∈in the likelihood initial cluster of the public file at the engineering construction stage>Document cooling value of individual history engineering construction phase publication document +.>；
Acquisition of the firstThe first ∈in the likelihood initial cluster of the public file at the engineering construction stage>The number of accesses of the disclosure document of the individual history engineering construction phase +.>；
Determination of the firstMinimum value of visit times of history engineering construction stage public documents in individual engineering construction stage public document likelihood initial cluster +.>；
Determination of the firstMaximum value of visit times of historical engineering construction stage public documents in individual engineering construction stage public document likelihood initial cluster +.>；
Determination of the firstTotal number of history engineering construction stage public documents in likelihood initial cluster of individual engineering construction stage public documents ∈>；
According to the firstThe first ∈in the likelihood initial cluster of the public file at the engineering construction stage>Document cooling value of individual history engineering construction phase publication document +.>Said->The first ∈in the likelihood initial cluster of the public file at the engineering construction stage>The number of accesses of the disclosure document of the individual history engineering construction phase +.>Said->Minimum value of visit times of history engineering construction stage public documents in individual engineering construction stage public document likelihood initial cluster +.>And said->Maximum value of visit times of historical engineering construction stage public documents in individual engineering construction stage public document likelihood initial cluster +.>Determining that each engineering construction stage publication is similarA document likelihood transition value for the initial cluster, wherein the document likelihood transition value is determinable using the following formula:
wherein,indicate->Document likelihood transition value of public document likelihood initial cluster in individual engineering construction stage, < >>And->Indicate->Weight coefficient of likelihood initial cluster of public document in individual engineering construction stage, and +.>，。
In some embodiments, determining likelihood document coefficients from each likelihood transition document and the likelihood initial document corresponding to the likelihood transition document may be accomplished using the following formula:
wherein,representing likelihood document coefficients, ++>Indicate->Document likelihood value of the initial document, +.>Indicate->Document likelihood value of each likelihood transition document, +.>。
And 105, when the likelihood document coefficient is lower than a preset document likelihood threshold, taking all the project construction stage public document likelihood initial clusters as project construction stage public document likelihood clusters, and storing real-time project construction stage documents according to the project construction stage public document likelihood clusters.
When the method is specifically implemented, corresponding storage hard disks are arranged according to public document likelihood clusters of different engineering construction stages, the document likelihood value of each real-time engineering construction stage document is determined according to a calculation formula of the document likelihood value, and the real-time engineering construction stage document corresponding to the document likelihood value is stored in a corresponding memory according to the document likelihood value.
When the likelihood document coefficient exceeds a preset document likelihood threshold, each likelihood transition document is replaced with a likelihood initial document corresponding to the likelihood transition document to obtain a replaced likelihood initial document, likelihood classification is carried out on each historical engineering construction stage public document in the historical engineering construction stage public document set again by the replaced likelihood initial document to obtain a new engineering construction stage public document likelihood initial cluster, a new likelihood document system is determined according to the new engineering construction stage public document likelihood initial cluster, and the steps are repeated until the new likelihood document system is lower than the preset document likelihood threshold.
Additionally, in another aspect of the present application, in some embodiments, the present application provides a data center engineering construction phase document storage system, referring to fig. 2, which is a schematic diagram of constituent modules of exemplary hardware and/or software of the data center engineering construction phase document storage system according to some embodiments of the present application, the data center engineering construction phase document storage system 200 includes: the document storage starting module 201, the historical engineering construction stage document set dividing module 202, the engineering construction stage public document likelihood initial cluster obtaining module 203, the likelihood document coefficient determining module 204 and the engineering construction stage document storage module 205 are respectively described as follows:
the document storage starting module 201 is mainly used for starting document storage of a data center and acquiring a document set of a historical engineering construction stage of the data center;
the historical engineering construction stage document set dividing module 202 is mainly used for carrying out privacy division on the historical engineering construction stage document set to obtain a historical engineering construction stage privacy document set and a historical engineering construction stage public document set, and carrying out encryption storage on the historical engineering construction stage privacy document set;
the project construction stage public document likelihood initial cluster obtaining module 203 is mainly used for determining a document likelihood value of each historical project construction stage public document in the historical project construction stage public document set, determining a likelihood initial document set of the historical project construction stage public document set according to all the document likelihood values, and likelihood classifying each historical project construction stage public document in the historical project construction stage public document set by the likelihood initial document set to obtain a plurality of project construction stage public document likelihood initial clusters;
the likelihood document coefficient determining module 204 is mainly used for determining likelihood transition documents of the likelihood initial cluster of the public document at each engineering construction stage, and determining likelihood document coefficients according to each likelihood transition document and the likelihood initial document corresponding to the likelihood transition document;
the project construction stage document storage module 205 is mainly used for storing real-time project construction stage documents according to the project construction stage public document likelihood clusters when the likelihood document coefficient is lower than a preset document likelihood threshold value, wherein all project construction stage public document likelihood initial clusters are used as project construction stage public document likelihood clusters.
All or part of each module in the document storage system in the data center engineering construction stage can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In addition, in one embodiment, the present application provides a computer device, which may be a server, and an internal structure diagram thereof may be as shown in fig. 3. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing document storage data in the engineering construction stage of the data center. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a data center engineering construction phase document storage method.
It will be appreciated by those skilled in the art that the structure shown in FIG. 3 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, there is also provided a computer device including a memory and a processor, the memory storing a computer program, the processor implementing the steps of the above-described embodiments of the data center engineering construction phase document storage method when executing the computer program.
In one embodiment, a computer readable storage medium is provided, storing a computer program which when executed by a processor performs the steps of the above-described data center engineering construction phase document storage method embodiment.
In one embodiment, a computer program product or computer program is provided that includes 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 the data center engineering construction phase document storage method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
In summary, in the method and system for storing documents in a data center engineering construction stage disclosed in the embodiments of the present application, first, a document storage in the data center is started, a document set in the data center in the historical engineering construction stage is obtained, privacy division is performed on the document set in the historical engineering construction stage to obtain a private document set in the historical engineering construction stage and a public document set in the historical engineering construction stage, the private document set in the historical engineering construction stage is stored in an encrypted manner, a document likelihood value of each public document in the public document set in the historical engineering construction stage is determined, a likelihood initial document set of the public document set in the historical engineering construction stage is determined according to all the document likelihood initial document sets, likelihood classification is performed on each public document in the public document set in the historical engineering construction stage by the likelihood initial document set to obtain a plurality of likelihood initial clusters of public documents in the engineering construction stage, likelihood transition documents of each likelihood initial cluster of public document in the engineering construction stage are determined, likelihood document coefficients of likelihood initial clusters of likelihood documents of public documents in each engineering construction stage are determined according to each likelihood transition document corresponding to each likelihood initial cluster of the likelihood documents in the public document set in the historical engineering construction stage, when the likelihood document coefficients are lower than a preset threshold value, and finally, classifying and storing the real-time engineering construction stage documents according to the engineering construction stage public document likelihood clusters.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. The document storage method for the engineering construction stage of the data center is characterized by comprising the following steps:
starting document storage of a data center, and acquiring a document set of a historical engineering construction stage of the data center;
performing privacy division on the historical engineering construction stage document set to obtain a historical engineering construction stage privacy document set and a historical engineering construction stage public document set, and performing encryption storage on the historical engineering construction stage privacy document set;
determining a document likelihood value of each historical engineering construction stage public document in the historical engineering construction stage public document set, determining a likelihood initial document set of the historical engineering construction stage public document set according to all the document likelihood values, and likelihood classifying each historical engineering construction stage public document in the historical engineering construction stage public document set by the likelihood initial document set to obtain a plurality of engineering construction stage public document likelihood initial clusters;
determining likelihood transition documents of likelihood initial clusters of the public documents in each engineering construction stage, and determining likelihood document coefficients according to each likelihood transition document and the likelihood initial document corresponding to the likelihood transition document;
when the likelihood document coefficient is lower than a preset document likelihood threshold, taking all the project construction stage public document likelihood initial clusters as project construction stage public document likelihood clusters, and storing real-time project construction stage documents according to the project construction stage public document likelihood clusters.
2. The method of claim 1, wherein privacy partitioning the historical engineering construction stage document set to obtain a historical engineering construction stage privacy document set and a historical engineering construction stage public document set specifically comprises:
acquiring a privacy value of each historical engineering construction stage document in the historical engineering construction stage document set, wherein the privacy value is 0 or 1;
when the privacy value is 1, taking the historical engineering construction stage document corresponding to the privacy value as the historical engineering construction stage privacy document, and further obtaining a historical engineering construction stage privacy document set;
when the privacy value is 0, taking the historical engineering construction stage document corresponding to the privacy value as the historical engineering construction stage public document, and further obtaining a historical engineering construction stage public document set.
3. The method of claim 1, wherein determining a document likelihood value for each historical engineering stage publication document in the set of historical engineering stage publications comprises:
acquiring document creation time and latest access time of each historical engineering construction stage public document;
determining a document cooling value of the public document in the historical engineering construction stage according to the document creation time and the latest access time;
acquiring the access times of the public document of each historical engineering construction stage;
determining a document importance value of the history engineering construction stage public document according to the access times;
and determining the document likelihood value of each historical engineering construction stage public document according to the document cooling value and the document importance value of the historical engineering construction stage public document.
4. The method of claim 1, wherein the document likelihood value of the historical engineering construction stage publication is determined using the formula:
wherein,indicate->Document likelihood value of individual history engineering construction stage publication document,/->Indicate->Document cooling value of individual history engineering construction phase publication document,/->Indicate->Document importance value of individual history engineering construction stage publication document,/->And->Represents the weight coefficient, and->。
5. The method of claim 1, wherein likelihood classifying each historical engineering stage publication document in the set of historical engineering stage publications documents by the set of likelihood initial documents to obtain a plurality of engineering stage publication document likelihood initial clusters specifically comprises:
determining a classification value of each historical engineering construction stage public document in the historical engineering construction stage public document set and each likelihood initial document in the likelihood initial document set respectively;
and classifying each historical engineering construction stage public document in the historical engineering construction stage public document set according to the classification value to obtain a plurality of engineering construction stage public document likelihood initial clusters.
6. The method of claim 1, wherein determining likelihood transition documents for each engineering stage publication likelihood initial cluster comprises:
determining a document likelihood transition value of a public document likelihood initial cluster in each engineering construction stage;
and determining a likelihood transition document of the public document likelihood initial cluster in the engineering construction stage according to the document likelihood transition value.
7. The method as recited in claim 1, further comprising:
when the likelihood document coefficient exceeds a preset document likelihood threshold value, each likelihood transition document is replaced with a likelihood initial document corresponding to the likelihood transition document, and a replaced likelihood initial document is obtained;
carrying out likelihood classification on each historical engineering construction stage public document in the historical engineering construction stage public document set again by using the replaced likelihood initial document to obtain a new engineering construction stage public document likelihood initial cluster;
determining a new likelihood document system according to the new engineering construction stage public document likelihood initial cluster;
repeating the steps until the new likelihood document is lower than the preset document likelihood threshold.
8. A data center engineering construction phase document storage system, comprising:
the document storage starting module is used for starting document storage of the data center and acquiring a document set of a historical engineering construction stage of the data center;
the historical engineering construction stage document set dividing module is used for carrying out privacy division on the historical engineering construction stage document set to obtain a historical engineering construction stage privacy document set and a historical engineering construction stage public document set, and carrying out encryption storage on the historical engineering construction stage privacy document set;
the project construction stage public document likelihood initial cluster obtaining module is used for determining the document likelihood value of each historical project construction stage public document in the historical project construction stage public document set, determining the likelihood initial document set of the historical project construction stage public document set according to all the document likelihood values, and likelihood classifying each historical project construction stage public document in the historical project construction stage public document set by the likelihood initial document set to obtain a plurality of project construction stage public document likelihood initial clusters;
the likelihood document coefficient determining module is used for determining likelihood transition documents of the likelihood initial clusters of the public documents in each engineering construction stage, and determining likelihood document coefficients according to each likelihood transition document and the likelihood initial document corresponding to the likelihood transition document;
and the engineering construction stage document storage module is used for storing real-time engineering construction stage documents according to the engineering construction stage public document likelihood clusters by taking all engineering construction stage public document likelihood initial clusters as engineering construction stage public document likelihood clusters when the likelihood document coefficient is lower than a preset document likelihood threshold.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the data center engineering construction phase document storage method of any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the data center engineering construction phase document storage method of any one of claims 1 to 7.
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