CN114996410A - Method for automatically integrating and sharing environment data resources - Google Patents
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- CN114996410A CN114996410A CN202210761550.XA CN202210761550A CN114996410A CN 114996410 A CN114996410 A CN 114996410A CN 202210761550 A CN202210761550 A CN 202210761550A CN 114996410 A CN114996410 A CN 114996410A
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Abstract
The invention relates to the technical field of environmental big data, in particular to a method for automatically integrating and sharing environmental data resources. According to the invention, through traversing analysis, automatic classification and feature extraction of environment management type data information, a corresponding data set is automatically generated in a fixed format, so that a user can share the data set more conveniently, other users on a platform can read the data set, and other sharing applications can be realized. The invention ensures the safe storage and convenient use of the environment management data, improves the safety, expandability, flexibility and intelligence of the application of the environment management data, provides more flexible and diversified sharing interaction mechanisms such as data integration and sharing application for users, and more accords with the actual requirements of classification integration and sharing application of mass data in the current stage of environment protection work informatization construction in China.
Description
Technical Field
The invention relates to the technical field of environmental big data, in particular to a method for automatically integrating and sharing environmental data resources.
Background
The environment management data has a plurality of sources such as an environment-friendly service system, remote sensing images, thematic maps, social information, GPS positioning and tracking and the like, and various data have obvious difference on a data structure, such as structured data of a basic library, a subject library and the like integrated by electronic recording tables, unstructured data including environment monitoring audios and videos, spectral images and the like, and space-time data represented by geographic information, remote sensing, IOT monitoring and the like. The characteristic of multi-source isomerism of the environmental protection data is formed. The integration of multi-source heterogeneous environmental protection data is a premise of informatization construction in the field of ecological environment and is a foundation for environment protection informatization to digital environmental protection and intelligent environmental protection.
In the digital era, the core of speaking right competition and benefit game in the environment management work is data, which affects the efficiency of environment protection business and action in each dimensional space. As an important ring of intelligent environmental protection, the environment big data integration technology needs to implement the idea from terminal sensors to application services. The application requirements of environmental protection personnel can not be met by single-dimensional data resources in environmental protection fields such as water, atmosphere, soil, secondary pollution, pollution sources and the like in environmental data, original disordered data such as pollution, monitoring, evaluation and the like must be scientifically managed to form ordered data assets such as a scientific research service library, a pollution control library, an environmental protection monitoring library and the like, and then various environmental protection application requirements can be better met, so that scientific decisions of the environmental protection personnel are better assisted.
In the aspect of technical development, the development of the environmental data integration technology in China goes through an upgrading process from simple to complex and from a bottom layer to a high layer. The internet can provide abundant and massive available data resources for users, but most of environment data information on the internet exists in a semi-structured and unstructured form, and a uniform data structure does not exist, so that the conventional environment data integration method cannot efficiently separate and extract required data from a disordered data ocean. How to show mechanized machine language to various environmental protection personnel at all levels more easily and enable environmental protection data to provide better service needs to be further discussed and researched. In addition, the environment data integration and sharing technology is a relatively crossed field, the related technical fields include environment-friendly data information cataloging, intelligent information retrieval, network public opinion analysis, text mining and the like, and the current data integration technology does not fully utilize the research and development results of the related fields such as machine learning, intelligent information retrieval, data text mining and the like, so that the requirements of actual environment protection work cannot be completely met in the aspects of accuracy and efficiency of data collection, extraction and data sharing services, and the intelligentization level of the technology also has a great space for improvement.
Accordingly, one skilled in the art provides a method for automatically integrating and sharing environment data resources to solve the above problems.
Disclosure of Invention
The present invention is directed to a method for automatically integrating and sharing environmental data resources, so as to solve the problems mentioned in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a method for automatically integrating and sharing environmental data resources comprises an analysis and calculation application module, an uploaded data automatic classification module, a safety alarm module, a hot spot information data recommendation module and a personal data automatic statistic module;
the analysis and calculation application module: the automatic extraction of data characteristics is realized through a Markov chain algorithm in system data table query, text indexing and natural language processing, so that the automatic integration of data and the publishing of a data resource packet are realized;
upload the automatic module of categorizing of data: the system automatically traverses the background data table to realize the automatic extraction of key values and characteristics of the data, thereby realizing the accurate classification of the data table;
a security alarm module: extracting keyword information contained in the data file through an A-Star algorithm, judging the security level of target data through the comparison of a system and a security level data table, and automatically giving an alarm for user deviation or error instructions;
the hotspot information data recommendation module: hot point data is collected in real time through a network public opinion data analysis, semantic retrieval identification and network hot point detection method, and allied/allied circle recommendation and data set sharing and interchange are automatically provided for a user.
The personal data automatic statistical module: the method is used for evaluating the value of the data resources through natural language processing and comparison with a background data table of an environmental data management platform when a user inputs data or comprehensively utilizes the data.
As a further aspect of the invention: the analysis and calculation application module comprises regulation formulation, data entry and resource release;
rule making: a user makes an integration and sharing rule for the system, the system transmits user input information to a background, and file indexes of files such as documents, pictures, geographic coordinates and videos required by the user are obtained through operations such as query of a background data table;
data entry: the Markov chain algorithm in the natural language processing is applied, so that the automatic extraction of the characteristic information of the data input by the user can be realized, and the title, the abstract, the publishing time, the information label and the display information of the attached parts of the published resource set are formed;
resource publishing: and integrating the related file data, inserting the integrated file data into a corresponding background record table, and finishing the release of the data resource packet so as to provide the user with available data set storage integration management and to carry out data push and other sharing on users in allied or allied circles in the environment-friendly system.
As a further scheme of the invention: the automatic uploaded data classification module comprises intelligent traversal, local memory and information extraction;
intelligent traversal: automatically traversing the data table content of the background uploaded file through a system platform, extracting classification information such as keywords and data characteristic values and storing the classification information into a temporary data table;
local memory: the classification selection and classification mode of the user can be automatically stored, and the newly input data information system automatically stores the newly input data information under the classification data table of the corresponding environment element;
information extraction: and according to the characteristic information of the required data selected by the user, the system automatically extracts the data and displays the data table.
As a further scheme of the invention: the safety alarm module comprises level setting, automatic matching and intelligent error correction;
automatic matching: extracting keyword information contained in the file by applying an A-Star algorithm, comparing the keyword information with data tables respectively storing different security levels in a database one by one, and analyzing the matching degree with the different security levels through natural language processing so as to analyze the data resources integrated by a user target and the security level of each data file contained in a data set;
and (3) level setting: the system is used for setting and confirming the security level of the data information by a user; (ii) a
Intelligent error correction: after receiving a deviation or error instruction input by a user, the user can be automatically prompted to perform safety alarm or deviation/error alarm so that the user can correct errors in time, reset the safety level and delete the shared secret-related files in preview in time, and the safety of the environment management data is effectively guaranteed.
As a further scheme of the invention: the hot spot information data recommendation module comprises hot spot recommendation, ally member recommendation and intelligent sequencing;
hot spot recommendation: analyzing the hottest data set on the current environment management sharing platform or in various environment websites in real time by applying a network public opinion data analysis, semantic retrieval identification and network hotspot detection method, sequencing according to time and types, informing a user in an information notification manner, and providing a simple and viewable list for the user;
member interaction: automatically traversing various environment data tables input by a user in a background database at regular time, analyzing the environment field required by the user by applying and processing a Markov chain and a graph model in natural language processing and corresponding to the background classification data tables, and recommending a data resource owner in the same or similar field as the user on an environment management sharing platform for the user in an information notification manner;
intelligent sequencing: users add allies or build environment management allies circle on the platform so as to conveniently share data sets, compare and sort each item of numerical value with allies or in allies circle, interchange affiliated environment data sets and other applications, and the environment management data is applied to the maximum within a safe range.
As a further aspect of the invention: the personal data automatic statistic module comprises automatic scoring, efficiency learning and intelligent comparison;
automatic scoring: when a user inputs data or comprehensively utilizes the data, the scoring evaluation is automatically carried out on the integration and sharing of the data set of the user through natural language processing and comparison with a background data table of an environmental data management platform;
efficiency learning: automatically counting the user data, the utilization rate of the data sets, the number of the personal sharing data sets, the number of personal allies and other information, and displaying real-time efficiency ranking for the user;
and (3) intelligent comparison: the method comprises the steps of combining established index parameters such as data set utilization rate, number of individual shared data sets, number of individual allied friends, user shared data set utilization rate in individual allied friends or allied friend circles and the like, intelligently evaluating the value of environment management data resources input or shared by users according to automatically set weights, and comprehensively ranking comparison items among different user individuals and among allied friend circles according to the evaluation values.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, an automatic environment data resource integration and sharing method is invented based on an environment data management platform, so that deep data mining, feature and value extraction of mass environment data are realized, and meanwhile, the realization is realized through machine learning and artificial intelligence function application, so that the safety, expandability, flexibility and intelligence of the environment management data application are greatly improved, more flexible and diversified data integration and sharing application and other sharing interaction mechanisms are provided for users, and the actual requirements of classification integration and sharing application of the mass data in the current stage in the environment protection work informatization construction of China are met.
Drawings
FIG. 1 is a block diagram of a method for automated integration and sharing of environmental data resources;
FIG. 2 is a hardware topology diagram of a method for automatic integration and sharing of environmental data resources;
FIG. 3 is a block diagram of an application example of the present application.
Detailed Description
Referring to fig. 1-2, in an embodiment of the present invention, a method for automatically integrating and sharing environmental data resources includes an analysis and calculation application module, an uploaded data automatic classification module, a security alarm module, a hot spot information data recommendation module, and a personal data automatic statistics module;
the analysis and calculation application module: the automatic extraction of data characteristics is realized through a Markov chain algorithm in system data table query, text indexing and natural language processing, so that the automatic integration of data and the publishing of a data resource packet are realized;
upload the automatic module of categorizing of data: the system automatically traverses the background data table to realize the automatic extraction of key values and characteristics of the data, thereby realizing the accurate classification of the data table;
a security alarm module: extracting keyword information contained in the data file through an A-Star algorithm, judging the security level of target data through the comparison of a system and a security level data table, and automatically giving an alarm for user deviation or error instructions;
the hotspot information data recommendation module: hot point data is collected in real time through network public opinion data analysis, semantic retrieval identification and network hot point detection methods, and alliance/alliance circle recommendation and data set sharing interchange are automatically provided for users.
The personal data automatic statistics module: the method is used for evaluating the value of the data resources through natural language processing and comparison with a background data table of an environmental data management platform when a user inputs data or comprehensively utilizes the data.
Further, the analysis and calculation application module comprises regulation formulation, data entry and resource release;
rule making: a user makes an integration and sharing rule for the system, the system transmits user input information to a background, and file indexes of files such as documents, pictures, geographic coordinates and videos required by the user are obtained through operations such as query of a background data table;
data entry: the Markov chain algorithm in the natural language processing is applied, so that the automatic extraction of the characteristic information of the data input by the user can be realized, and the title, the abstract, the publishing time, the information label and the display information of the attached parts of the published resource set are formed;
resource publishing: and integrating the related file data, inserting the integrated file data into a corresponding background record table, and finishing the release of the data resource packet so as to provide the user with available data set storage integration management and to carry out data push and other sharing on users in allied or allied circles in the environment-friendly system.
Furthermore, the automatic uploaded data classification module comprises intelligent traversal, local memory and information extraction;
intelligent traversal: automatically traversing the data table content of the background uploaded file through a system platform, extracting classification information such as keywords and data characteristic values and storing the classification information into a temporary data table;
local memory: the classification selection and classification mode of the user can be automatically stored, and the newly input data information system automatically stores the newly input data information under the classification data table of the corresponding environment element;
information extraction: and according to the characteristic information of the required data selected by the user, the system automatically extracts the data and displays the data table.
Further, the safety alarm module comprises level setting, automatic matching and intelligent error correction;
automatic matching: extracting keyword information contained in the file by applying an A-Star algorithm, comparing the keyword information with data tables respectively storing different security levels in a database one by one, and analyzing the matching degree with the different security levels through natural language processing so as to analyze the data resources integrated by a user target and the security level of each data file contained in a data set;
level setting: the system is used for setting and confirming the security level of the data information by a user; (ii) a
Intelligent error correction: after receiving a deviation or error instruction input by a user, the user can be automatically prompted to perform safety alarm or deviation/error alarm so that the user can correct errors in time, reset the safety level and delete the shared secret-related files in preview in time, and the safety of the environment management data is effectively guaranteed.
Further, the hotspot information data recommendation module comprises hotspot recommendation, member recommendation and intelligent sequencing;
hot spot recommendation: analyzing the hottest data set on the current environment management sharing platform or in various environment websites in real time by applying a network public opinion data analysis, semantic retrieval identification and network hotspot detection method, sequencing according to time and types, informing a user in an information notification manner, and providing a simple and viewable list for the user;
ally friend recommendation: automatically traversing various environment data tables input by a user in a background database at regular time, analyzing the environment field required by the user by applying Markov chain and graph model in natural language processing and corresponding to the background classification data tables, and recommending a data resource owner in the same or similar field as the user on an environment management sharing platform in an information notification manner for the user;
intelligent sorting: users add allies or build environment management allies circle on the platform so as to conveniently share data sets, compare and sort each item of numerical value with allies or in allies circle, interchange affiliated environment data sets and other applications, and the environment management data is applied to the maximum within a safe range.
Further, the personal data automatic statistic module comprises automatic scoring, efficiency learning and intelligent comparison;
automatic scoring: when a user inputs data or comprehensively utilizes the data, the scoring evaluation is automatically carried out on the integration and sharing of the data set of the user through natural language processing and comparison with a background data table of an environmental data management platform;
efficiency learning: automatically counting the user data, the utilization rate of the data sets, the number of the personal sharing data sets, the number of personal allies and other information, and displaying real-time efficiency ranking for the user;
and (3) intelligent comparison: the method comprises the steps of combining established index parameters such as data set utilization rate, number of personal shared data sets, number of personal allies, user shared data set utilization rate in individual allies or allied circle, intelligently evaluating the value of environment management data resources input or shared by users according to automatically set weight, and comprehensively ranking comparison items among different user individuals and among allied circle according to the evaluation values.
Automatically integrating and sharing environment data resources to obtain required hardware foundation:
the hardware basis is composed of storage resources, computing resources and network resources, wherein the hardware basis comprises storage nodes, computing nodes, management nodes, application terminals, network systems and the like.
The storage node: the method is mainly used for storing multi-mode and multi-format mass environment management data and storing bottom layer data characteristics.
The computing node: the method is mainly used for realizing the functions of deep feature extraction, cross-modal semantic association analysis, knowledge map construction and maintenance and the like of various environment management data.
The management node: mainly providing functions of Web service, platform operation and maintenance management and the like;
an application terminal: in a fixed mode, the application terminal is interconnected with a management network by virtue of networks such as an environment-friendly private network and a public service local area network; in the mobile mode, a wireless channel is used for interconnecting the terminal and the management network;
a network system: the data nodes and the computing nodes are interconnected by using a gigabit network, so that high-speed data exchange is guaranteed; the application key points and the management nodes are interconnected by using a gigabit network or a wireless channel, so that the flexibility of service application is guaranteed.
Application example
Referring to the specification and the attached figure 3, the real data of the user is stored by using a HIVE data warehouse so as to quickly realize automatic insertion and automatic query operation of mass data. And (3) realizing database connection pool and database query operation by using a DBUtils framework of Apache, and realizing a java call hive interface by using a HiveServer. Intermediate layer services such as user intelligent search service, data analysis algorithm service and the like are realized by using java language, and forwarding management of web requests or calling intermediate layer service codes are realized by using servlets to realize various service functions. And the result is displayed by a javaweb project, the HTML, the CSS and the JavaScript are adopted for page display, and the servlet and the jsp are used for logic control, data access and service processing at the back end.
In summary, the following steps: according to the invention, an automatic environment data resource integration and sharing method is invented based on an environment data management platform, deep data mining, feature and value extraction of massive environment data are realized, and meanwhile, the method is realized through machine learning and artificial intelligence function application, so that the safety, expandability, flexibility and intelligence of the environment management data application are greatly improved, more flexible and various sharing interaction mechanisms such as data integration and sharing application are provided for users, and the practical requirements of classification integration and sharing application of the massive data in the current stage of environment protection work informatization construction in China are met.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered as the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (6)
1. A method for automatically integrating and sharing environmental data resources is characterized by comprising an analysis and calculation application module, an uploaded data automatic classification module, a safety alarm module, a hot spot information data recommendation module and a personal data automatic statistical module;
the analysis and calculation application module: the automatic extraction of data characteristics is realized through a Markov chain algorithm in system data table query, text indexing and natural language processing, so that the automatic integration of data and the publishing of a data resource packet are realized;
upload the automatic module of categorizing of data: the method comprises the steps that a background data table is automatically traversed by a system to automatically extract key values and characteristics of data, and then accurate classification of the data table is achieved;
a security alarm module: extracting keyword information contained in the data file through an A-Star algorithm, judging the security level of target data through the comparison of a system and a security level data table, and automatically giving an alarm for user deviation or error instructions;
the hotspot information data recommendation module is: hot point data is collected in real time through network public opinion data analysis, semantic retrieval identification and network hot point detection methods, and alliance/alliance circle recommendation and data set sharing interchange are automatically provided for users.
The personal data automatic statistics module: the method is used for evaluating the value of the data resources through natural language processing and comparison with the background data table of the environmental data management platform when a user inputs data or comprehensively utilizes the data.
2. The method for the automatic integration and sharing of environmental data resources according to claim 1, wherein the analysis computing application module comprises specification formulation, data entry and resource publishing;
rule making: a user makes an integration and sharing rule for the system, the system transmits user input information to a background, and file indexes of files such as documents, pictures, geographic coordinates and videos required by the user are obtained through operations such as query of a background data table;
data entry: the Markov chain algorithm in the natural language processing is applied, so that the automatic extraction of the characteristic information of the data input by the user can be realized, and the title, the abstract, the publishing time, the information label and the display information of the attached parts of the published resource set are formed;
resource release: and integrating the related file data, inserting the integrated file data into a corresponding background record table, and finishing the release of the data resource packet so as to provide the user with available data set storage integration management and to carry out data push and other sharing on users in allied or allied circles in the environment-friendly system.
3. The method of claim 1, wherein the uploaded data automatic classification module comprises intelligent traversal, local memory and information extraction;
intelligent traversal: automatically traversing the data table content of the background uploaded file through a system platform, extracting classification information such as keywords and data characteristic values and storing the classification information into a temporary data table;
local memory: the classification selection and classification mode of the user can be automatically stored, and the newly input data information system automatically stores the newly input data information under the classification data table of the corresponding environment element;
information extraction: and according to the characteristic information of the required data selected by the user, the system automatically extracts the data and displays the data table.
4. The method of claim 1, wherein the security alert module comprises level setting, auto-matching, and smart error correction;
automatic matching: extracting keyword information contained in the file by applying an A-Star algorithm, comparing the keyword information with data tables respectively storing different security levels in a database one by one, and analyzing the matching degree with the different security levels through natural language processing so as to analyze the data resources integrated by a user target and the security level of each data file contained in a data set;
level setting: the system is used for setting and confirming the security level of the data information by a user;
intelligent error correction: after receiving a deviation or error instruction input by a user, the user can be automatically prompted to give a safety alarm or a deviation/error alarm so that the user can correct errors in time, reset the safety level and delete the shared secret-related files in preview in time.
5. The method of claim 1, wherein the hotspot information data recommendation module comprises hotspot recommendation, member recommendation, intelligent ranking;
hot spot recommendation: analyzing the hottest data set on the current environment management sharing platform or in various environment websites in real time by applying a network public opinion data analysis, semantic retrieval recognition and network hotspot detection method, sequencing according to time and types, informing a user in an information notification manner, and providing a simple viewable list for the user;
member interaction: automatically traversing various environment data tables input by a user in a background database at regular time, analyzing the environment field required by the user by applying Markov chain and graph model in natural language processing and corresponding to the background classification data tables, and recommending a data resource owner in the same or similar field as the user on an environment management sharing platform in an information notification manner for the user;
intelligent sequencing: users add allies or build environment management allies circle on the platform so as to conveniently share data sets, compare and sort each item of numerical value with allies or in allies circle, interchange affiliated environment data sets and other applications, and the environment management data is applied to the maximum within a safe range.
6. The method of claim 1, wherein the personal data automatic statistics module comprises automatic scoring, efficiency learning, and intelligent comparison;
automatic scoring: when a user inputs data or comprehensively utilizes the data, the scoring evaluation is automatically carried out on the integration and sharing of the data set of the user through natural language processing and comparison with a background data table of an environmental data management platform;
efficiency learning: automatically counting the user data, the utilization rate of the data sets, the number of the personal sharing data sets, the number of personal allies and other information, and displaying real-time efficiency ranking for the user;
and (3) intelligent comparison: the method comprises the steps of combining established index parameters such as data set utilization rate, number of individual shared data sets, number of individual allied friends, user shared data set utilization rate in individual allied friends or allied friend circles and the like, intelligently evaluating the value of environment management data resources input or shared by users according to automatically set weights, and comprehensively ranking comparison items among different user individuals and among allied friend circles according to the evaluation values.
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