CN115905453A - Engineering information integrated management platform - Google Patents
Engineering information integrated management platform Download PDFInfo
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- CN115905453A CN115905453A CN202211191567.2A CN202211191567A CN115905453A CN 115905453 A CN115905453 A CN 115905453A CN 202211191567 A CN202211191567 A CN 202211191567A CN 115905453 A CN115905453 A CN 115905453A
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- 238000010801 machine learning Methods 0.000 claims abstract description 8
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Abstract
The invention discloses an engineering information integrated management platform, relates to the technical field of integrated management, and solves the technical problem that unified retrieval of material documents is difficult; the data preprocessing unit is used for performing word segmentation processing and stop word removal processing on the audited available data, and is beneficial to reducing the workload for subsequent operation; the data classification unit is used for intelligently classifying the available data subjected to word segmentation processing and stop word removal processing by using a machine learning method to obtain an intelligent classification result, and the data clustering unit is used for intelligently clustering the available data subjected to word segmentation processing and stop word removal processing by using a deep learning method to obtain an intelligent clustering result; the data classification unit and the data clustering unit respectively finish data sorting work by machine learning and deep learning, so that the labor cost is reduced, the data is more vivid, and a user can conveniently and accurately find the data.
Description
Technical Field
The invention belongs to the field of engineering, relates to an integrated management technology, and particularly relates to an engineering information integrated management platform.
Background
With the continuous development of internet technology and the coming of the digital era, the number of electronic documents based on text data has been exponentially increased in the past decades, and various industries have accumulated a great amount of document materials and manuscripts in daily business work.
Therefore, an engineering information integration management platform is provided.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an engineering information integrated management platform which solves the problem that the unified retrieval of the material documents is difficult.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an engineering information integration management platform, which includes a cloud storage module, and a data acquisition module, a data processing module, and a data lookup module connected to the cloud storage module; information interaction is carried out among all modules based on a digital signal mode;
the cloud storage module is used for storing the intelligent classification result and the intelligent clustering result;
the data acquisition module is used for acquiring data, auditing the data and acquiring available data;
sending the available data to the data processing module;
the data processing module is used for receiving the available data and sorting the available data to obtain an intelligent classification result and an intelligent clustering result;
generating an index according to the intelligent classification result and the intelligent clustering result, and storing the intelligent classification result and the intelligent clustering result into a cloud storage module;
and the data consulting module is used for searching and downloading data by a user according to the characteristic words.
Preferably, the data acquisition module comprises a manual entry unit, an internet unit, an implementation updating unit and a data auditing unit.
Preferably, the data processing module comprises a data preprocessing unit, a data sorting unit and a data storing and uploading unit.
Preferably, the data consulting module comprises an index searching unit, a data listing unit and a data deriving unit.
Preferably, the manual entry unit is used for manually entering new data, and calling and editing the data stored in the cloud storage module;
the internet unit is used for collecting various data in the internet platform;
the real-time updating unit is used for extracting the data collected by the Internet unit and updating the data in real time according to the data in the existing cloud storage module; it should be further explained that the data in the cloud storage module and the data collected by the internet unit have a repeated phenomenon, so that the repeated data does not need to be collected; if the data in the cloud storage module and the data collected by the Internet unit do not have a repeated phenomenon, storing the data collected by the Internet unit into the cloud storage module;
the data auditing unit is used for auditing the contents of the manually input new data and the data of various Internet platforms, taking out useless data and acquiring available data.
Preferably, the data preprocessing unit is used for performing word segmentation processing and taking out stop words processing on the audited available data to obtain the data to be classified; it should be further noted that the data preprocessing unit is beneficial to reducing the workload for the subsequent operation;
the data sorting unit comprises a data classifying unit and a data clustering unit;
the data classification unit is used for intelligently classifying the available data subjected to word segmentation processing and stop word removal processing by using a machine learning method to obtain an intelligent classification result;
the data clustering unit is used for intelligently clustering the available data subjected to word segmentation processing and stop word removal processing by using a deep learning method to obtain an intelligent clustering result;
it needs to be further explained that the data classification unit and the data clustering unit are beneficial to reducing labor cost, and make data more vivid, and facilitate users to find accurately;
the data storage and uploading unit comprises an index generating unit, a data storage unit and a data uploading unit;
the index generating unit is used for generating indexes from intelligent classification results and intelligent clustering results by using the index generator according to the feature words in the intelligent classification and intelligent clustering;
the data storage unit is used for storing the intelligent classification result and the intelligent clustering result;
and the data uploading unit is used for uploading the intelligent classification result and the intelligent clustering result to the cloud storage module for secondary storage.
Preferably, the index retrieval unit is used for searching data in the cloud storage module according to the feature words;
the data list unit is used for generating a data result list according to the relevance of the searched characteristic words;
the data exporting unit is used for downloading data according to the data result list.
Preferably, the cloud storage module is in communication and/or electrical connection with the data acquisition module;
the cloud storage module is in communication and/or electrical connection with the data processing module;
the cloud storage module is in communication and/or electrical connection with the data lookup module.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the data preprocessing unit and the intelligent sorting unit are arranged, wherein the data preprocessing unit is used for performing word segmentation processing and stop word removal processing on available data after being audited, so that the workload can be reduced for subsequent operation; the intelligent sorting unit comprises a data sorting unit and a data clustering unit, the data sorting unit is used for intelligently sorting the available data subjected to word segmentation processing and stop word removal processing by using a machine learning method to obtain an intelligent sorting result, and the data clustering unit is used for intelligently clustering the available data subjected to word segmentation processing and stop word removal processing by using a deep learning method to obtain an intelligent clustering result; the data classification unit and the data clustering unit respectively finish data sorting work by machine learning and deep learning, so that the labor cost is reduced, the data is more vivid, and a user can conveniently and accurately find the data.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
As shown in fig. 1, an engineering information integration management platform includes a cloud storage module, and a data acquisition module, a data processing module, and a data lookup module connected to the cloud storage module; information interaction is carried out among all modules based on a digital signal mode;
the data acquisition module is used for acquiring data, auditing the data and acquiring available data;
sending the available data to the data processing module;
the data processing module is used for receiving the available data and sorting the available data to obtain an intelligent classification result and an intelligent clustering result;
generating an index according to the intelligent classification result and the intelligent clustering result, and storing the intelligent classification result and the intelligent clustering result into a cloud storage module;
the data lookup module is used for searching and downloading data by a user according to the characteristic words;
and the cloud storage module is used for storing the intelligent classification result and the intelligent clustering result.
In this embodiment, the data acquisition module includes a manual entry unit, an internet unit, an update implementation unit, and a data auditing unit.
In this embodiment, the manual entry unit is used for manually entering new data, and retrieving and editing data stored in the cloud storage module;
the internet unit is used for collecting various data in the internet platform;
the real-time updating unit is used for extracting the data collected by the Internet unit and updating the data in real time according to the data in the existing cloud storage module; it should be further noted that, if there is a duplication phenomenon between the data in the cloud storage module and the data collected by the internet unit, the duplicate data does not need to be collected; if the data in the cloud storage module and the data collected by the Internet unit do not have a repeated phenomenon, storing the data collected by the Internet unit into the cloud storage module;
the data auditing unit is used for auditing the contents of the manually input new data and the data of various internet platforms, taking out useless data and acquiring available data.
In this embodiment, the data processing module includes a data preprocessing unit, a data sorting unit, and a data storing and uploading unit.
In this embodiment, the data preprocessing unit is configured to perform word segmentation processing and word taking out processing of stop words on the available data after being checked, so as to obtain data to be classified; it should be further noted that the data preprocessing unit is beneficial to reducing the workload for the subsequent operation;
the data sorting unit comprises a data classifying unit and a data clustering unit;
the data classification unit is used for intelligently classifying the available data subjected to word segmentation processing and stop word removal processing by using a machine learning method to obtain an intelligent classification result;
the data clustering unit is used for intelligently clustering the available data subjected to word segmentation processing and stop word removal processing by using a deep learning method to obtain an intelligent clustering result;
it needs to be further explained that the data classification unit and the data clustering unit are beneficial to reducing labor cost, and make data more vivid, and facilitate users to find accurately;
the data storage and uploading unit comprises an index generation unit, a data storage unit and a data uploading unit;
the index generating unit is used for generating indexes from intelligent classification results and intelligent clustering results by using the index generator according to the feature words in the intelligent classification and intelligent clustering;
the data storage unit is used for storing the intelligent classification result and the intelligent clustering result;
and the data uploading unit is used for uploading the intelligent classification result and the intelligent clustering result to the cloud storage module for secondary storage.
In this embodiment, the data lookup module includes an index retrieval unit, a data list unit, and a data export unit.
In this embodiment, the index retrieval unit is configured to perform data search in the cloud storage module according to the feature words;
the data list unit is used for generating a data result list according to the relevance of the searched characteristic words;
the data export unit is used for downloading data according to the data result list.
In this embodiment, the cloud storage module is in communication and/or electrical connection with the data acquisition module;
the cloud storage module is in communication and/or electrical connection with the data processing module;
the cloud storage module is in communication and/or electrical connection with the data lookup module.
The working principle of the invention is as follows:
the manual input unit is used for manually inputting new data, and calling and editing the data stored in the cloud storage module; the Internet unit collects various data in the Internet platform; the real-time updating unit extracts the data collected by the internet unit and updates the data in real time according to the data in the existing cloud storage module; the data auditing unit audits the contents of the manually input new data and the data of various internet platforms, takes out useless data and obtains available data;
the data preprocessing unit carries out word segmentation processing and word taking-out stop processing on the audited available data to obtain data to be classified; the data sorting unit comprises a data classifying unit and a data clustering unit; the data classification unit intelligently classifies the available data subjected to word segmentation processing and stop word removal processing by using a machine learning method to obtain an intelligent classification result; the data clustering unit intelligently clusters the available data subjected to word segmentation processing and stop word removal processing by using a deep learning method to obtain an intelligent clustering result;
the index generating unit generates indexes from intelligent classification results and intelligent clustering results by using the index generator according to the feature words in the intelligent classification and intelligent clustering; the data storage unit stores the intelligent classification result and the intelligent clustering result; the data uploading unit uploads the intelligent classification result and the intelligent clustering result to the cloud storage module for secondary storage;
the index retrieval unit searches data in the cloud storage module according to the feature words; the data list unit generates a data result list according to the relevance of the searched characteristic words; the data export unit downloads data according to the data result list.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. An engineering information integration management platform is characterized by comprising a cloud storage module, a data acquisition module, a data processing module and a data consulting module, wherein the data acquisition module, the data processing module and the data consulting module are connected with the cloud storage module; information interaction is carried out among all modules based on a digital signal mode;
the cloud storage module is used for storing the intelligent classification result and the intelligent clustering result;
the data acquisition module is used for acquiring data, auditing the data and acquiring available data;
sending the available data to the data processing module;
the data processing module is used for receiving the available data and sorting the available data to obtain an intelligent classification result and an intelligent clustering result;
generating an index according to the intelligent classification result and the intelligent clustering result, and storing the intelligent classification result and the intelligent clustering result into a cloud storage module;
and the data consulting module is used for searching and downloading data by a user according to the characteristic words.
2. The integrated management platform for engineering information according to claim 1, wherein the data acquisition module comprises a manual entry unit, an internet unit, a real-time update unit and a data auditing unit.
3. The integrated management platform for engineering information according to claim 1, wherein the data processing module comprises a data preprocessing unit, a data sorting unit and a data storing and uploading unit.
4. The integrated management platform for engineering information according to claim 1, wherein the material consulting module comprises an index retrieving unit, a material listing unit and a material deriving unit.
5. The integrated engineering information management platform according to claim 2, wherein the manual entry unit is configured to manually enter new data, and retrieve and edit data stored in the cloud storage module;
the internet unit is used for collecting various data in the internet platform;
the real-time updating unit is used for extracting the data collected by the Internet unit and updating the data in real time according to the data in the existing cloud storage module; it should be further explained that the data in the cloud storage module and the data collected by the internet unit have a repeated phenomenon, so that the repeated data does not need to be collected; if the data in the cloud storage module and the data collected by the internet unit do not have a repeated phenomenon, storing the data collected by the internet unit into the cloud storage module;
the data auditing unit is used for auditing the contents of the manually input new data and the data of various internet platforms, taking out useless data and acquiring available data.
6. The integrated management platform for engineering information according to claim 3, wherein the data preprocessing unit is configured to perform word segmentation processing and word extraction stop processing on the available checked data to obtain data to be classified; it is further noted that the data preprocessing unit is beneficial to reducing the workload for the subsequent operation;
the data sorting unit comprises a data classifying unit and a data clustering unit;
the data classification unit is used for intelligently classifying the available data subjected to word segmentation processing and stop word removal processing by using a machine learning method to obtain an intelligent classification result;
the data clustering unit is used for intelligently clustering the available data subjected to word segmentation processing and stop word removal processing by using a deep learning method to obtain an intelligent clustering result;
it should be further noted that the data classification unit and the data clustering unit are beneficial to reducing labor cost, and making data more vivid, and facilitating accurate searching for users;
the data storage and uploading unit comprises an index generation unit, a data storage unit and a data uploading unit;
the index generating unit is used for generating indexes from intelligent classification results and intelligent clustering results by using the index generator according to the feature words in the intelligent classification and intelligent clustering;
the data storage unit is used for storing the intelligent classification result and the intelligent clustering result;
and the data uploading unit is used for uploading the intelligent classification result and the intelligent clustering result to the cloud storage module for secondary storage.
7. The integrated management platform for engineering information according to claim 4, wherein the index retrieval unit is configured to perform a data search in the cloud storage module according to the feature words;
the data list unit is used for generating a data result list according to the relevance of the searched characteristic words;
the data export unit is used for downloading data according to the data result list.
8. The integrated management platform for engineering information according to claim 1, wherein the cloud storage module is in communication and/or electrical connection with the data acquisition module;
the cloud storage module is in communication and/or electrical connection with the data processing module;
the cloud storage module is in communication and/or electrical connection with the data lookup module.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211191567.2A CN115905453A (en) | 2022-09-28 | 2022-09-28 | Engineering information integrated management platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211191567.2A CN115905453A (en) | 2022-09-28 | 2022-09-28 | Engineering information integrated management platform |
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| CN115905453A true CN115905453A (en) | 2023-04-04 |
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