CN115543974A - Method for accessing energy enterprise data to big data platform - Google Patents
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Abstract
A method for accessing energy enterprise data to a big data platform comprises the following steps: s1, constructing an energy big data platform, S2, establishing a communication module, transmitting enterprise data of a user terminal and a sensor to the energy big data platform, S3, collecting energy enterprise data, S4, distinguishing and processing the energy enterprise data, S5, generating feedback and evaluation information, and transmitting analysis and summary information and evaluation results of the energy enterprise data back to the energy enterprise user terminal; the invention ensures the accuracy of the uploaded data by diversified data access means; meanwhile, the personal terminal can be remotely connected with the energy big data platform in real time through logging in and uploading software, so that the change of information can be conveniently known in real time, and the management efficiency is indirectly improved; and the data transmission is reliable, and meanwhile, the directory information is timely updated according to the change condition of the data resources by distinguishing and processing the energy data, so that the application analysis requirements of the user on the data are ensured.
Description
Technical Field
The invention relates to the technical field of energy enterprise data management, in particular to a method for accessing energy enterprise data to a big data platform.
Background
Energy enterprises refer to enterprises taking energy development, processing conversion, warehousing, transportation, distribution and sale, trade, service and the like as main businesses, the current energy production and consumption modes are undergoing major transformation, digital transformation has important significance on high-quality development of energy industries, the overall situation of enterprise production elements can be mastered more comprehensively and more timely through digital transformation and enterprise digital construction, the operation cost can be evaluated more accurately and more conveniently, the overall efficiency can be improved more systematically and more efficiently, and the process of transmitting offline energy enterprise data to an information base of a large data platform is realized when the energy enterprises access the large data platform.
At present, the problems of wide regional distribution, inconsistent operation management level, shortage of operation managers and the like of the existing energy enterprises are increasingly highlighted, so that the operation enterprises urgently need to carry out intensive management, reasonable configuration of enterprise resources is realized, and the operation management capability of the energy station is improved through effective supervision and data statistics. In order to solve the above problems, the present application provides a method for accessing energy enterprise data to a big data platform.
Disclosure of Invention
Object of the invention
In order to solve the technical problems in the background art, the invention provides a method for accessing energy enterprise data to a big data platform, and the method ensures the accuracy of uploaded data by diversified data access means; meanwhile, the personal terminal can log in the energy big data platform, so that the change of information can be conveniently known in real time, and the management efficiency is indirectly improved; and the data transmission is reliable, and the application analysis requirement of the user on the data is ensured.
(II) technical scheme
In order to solve the problems, the invention provides a method for accessing energy enterprise data to a big data platform, which comprises the following steps:
s1, constructing an energy big data platform, installing and debugging a user terminal and intelligent monitoring equipment in an energy enterprise, and installing, logging and uploading software on the user terminal;
s2, establishing a communication module, and transmitting enterprise data of the user terminal and the sensor to an energy big data platform;
s3, collecting energy enterprise data, timely, effectively and accurately collecting the data generated in the production process of the energy enterprise, classifying the collected energy enterprise data according to keywords, establishing an energy enterprise carbon asset management framework, and tracking and feeding back enterprise management process information in real time aiming at enterprise carbon asset development, carbon market analysis, carbon quota management, emission report compilation, quality control, audit risk control, carbon transaction operation and the like;
s4, distinguishing and processing energy enterprise data, reasonably replacing invalid data by methods of estimation, whole case deletion, variable deletion, paired deletion and the like, performing data complementation and other operations on blank data and missing data, establishing main external key constraint, performing data replacement on illegal data or exporting the illegal data to an error file for reprocessing, and converting the data format of source data into a target data format convenient for entering an energy big data center;
and S5, generating feedback and evaluation information, transmitting analysis and summary information and evaluation results of the energy enterprise data back to the energy enterprise user terminal, performing secondary determination by the energy enterprise user terminal, referring to the evaluation results, and providing scientific support and service for scientific management of the enterprise data.
Preferably, in step S1, the login operation of logging in the upload software includes the following steps:
SS1, opening a login interface of the energy big data platform, inputting a user name and a password, and successfully entering a main page;
SS2, sequentially inputting the energy enterprise data according to the classification information interface of the main page;
SS3, after the input is finished, performing self-audit on the input information to obtain an audit result, and uploading the result after responding to and confirming the audit result;
and SS4, logging out and closing a login interface of the energy big data platform.
Preferably, in the step S1, the user terminal includes a desktop computer, a notebook computer, a mobile phone and a tablet, and is used for uploading data of the energy enterprise to the energy big data platform.
Preferably, in step S1, the intelligent monitoring equipment comprises a current voltage sensor, a water meter, a flow sensor, a density sensor, a temperature and humidity sensor and a harmful gas sensor, and the data of the energy enterprises can be conveniently and comprehensively collected by self.
Preferably, in the step S2, the communication module includes a wired network connection and a wireless network connection, and the wired network connection may use one of a PSTN access technology, an ISDN access technology, an ADSL access technology, an FTTX optical fiber access technology, or an FTTX + LAN access technology.
Preferably, in step S2, the wireless network connection in the communication module may be one of a GSM access technology, a CDMA access technology, a GPRS access technology, a CDPD access technology, an LMDS access technology, a DBS satellite access technology, a bluetooth access technology, a Home RF access technology, a WCDMA access technology, or a Z4Gex-04 access technology.
Preferably, in step S3, the keywords include enterprise names, submission times, IP addresses, enterprise scales, and enterprise types, data under the keywords are reviewed and verified again, field null values are captured and loaded or replaced by other meaning databases, and field format constraint definition can be implemented, a loading format can be customized for data such as time, numerical values, and characters in a data source, and specific fields of the data are split according to business requirements, so as to finally form a unified and normalized energy enterprise data form, so as to meet requirements for data processing statistics.
Preferably, in step S4, after the data of the energy enterprise is identified and processed, the result is stored in a database built in the energy big data platform, or the result is stored in a cloud database, and the stored data resources are classified according to enterprise and parameter keywords, a data resource catalog having the characteristics of the energy industry is designed, complete metadata management, data resource search and data resource application are provided, catalog information is updated in time according to the change condition of the data resources, the reality, reliability and availability of the data resource catalog are ensured, and the application analysis requirements of the government, the enterprise and the social public industry on the data are ensured.
The technical scheme of the invention has the following beneficial technical effects: the invention combines the data uploading mode of combining the energy self-uploading data and the intelligent monitoring equipment self-long-distance data, and diversified data access means, thereby ensuring the accuracy of the uploaded data and improving the safety of energy data management; meanwhile, the personal terminal can be remotely connected with the energy big data platform in real time through logging in and uploading software, so that the change of information can be conveniently known in real time, and the management efficiency is indirectly improved; the data transmission mode of the communication module is selected in various ways; the reliability of data transmission is guaranteed, meanwhile, the energy data are distinguished and processed through methods such as estimation, whole case deletion, variable deletion, paired deletion and the like, the data are guaranteed to completely meet requirements, the directory information is timely updated according to the change condition of the data resources, the reality, the reliability and the availability of a data resource directory are guaranteed, and the application analysis requirements of governments, enterprises and the public industry of the society on the data are guaranteed; and generating feedback and evaluation information, transmitting the feedback and evaluation information back to the energy enterprise user terminal, performing secondary determination, and referring to an evaluation result to provide scientific and technological support and service for scientific management of enterprise data.
Drawings
Fig. 1 is a flowchart of a method for accessing energy enterprise data to a big data platform according to the present invention.
Fig. 2 is a structural block diagram of a method for accessing energy enterprise data to a big data platform according to the present invention.
Fig. 3 is a content block diagram of keywords in the method for accessing energy enterprise data to a big data platform according to the present invention.
Fig. 4 is a flowchart of the operational steps of logging in the uploading software in the method for accessing the energy enterprise data to the big data platform according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the accompanying drawings in combination with the embodiments. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1 to 4, the method for accessing data of an energy enterprise to a big data platform provided by the present invention includes the following steps:
s1, constructing an energy big data platform, installing and debugging a user terminal and intelligent monitoring equipment in an energy enterprise, and installing, logging and uploading software on the user terminal;
s2, establishing a communication module, and transmitting enterprise data of the user terminal and the sensor to an energy big data platform;
s3, collecting data of the energy enterprises, timely, effectively and accurately collecting the data generated in the production process of the energy enterprises, classifying the collected data of the energy enterprises according to keywords, establishing a carbon asset management framework of the energy enterprises, and tracking and feeding back enterprise management process information in real time aiming at enterprise carbon asset development, carbon market analysis, carbon quota management, emission report compilation, quality control, audit risk control, carbon transaction operation and the like;
s4, distinguishing and processing energy enterprise data, reasonably replacing invalid data by methods of estimation, whole case deletion, variable deletion, paired deletion and the like, performing data complementation and other operations on null data and missing data, establishing main external key constraint, performing data replacement on illegal data or exporting the illegal data to an error file for reprocessing, and converting the data format of source data into a target data format convenient for entering an energy big data center;
and S5, generating feedback and evaluation information, transmitting the analysis and summary information and the evaluation result of the energy enterprise data back to the energy enterprise user terminal, performing secondary determination on the energy enterprise user terminal, referring to the evaluation result, and providing scientific and technological support and service for scientific management of the enterprise data.
In an optional embodiment, in step S1, the login operation of logging in the upload software includes the following steps:
SS1, opening a login interface of the energy big data platform, inputting a user name and a password, and successfully entering a main page;
SS2, sequentially inputting the energy enterprise data according to the classification information interface of the main page;
SS3, after the input is finished, performing self-audit on the input information to obtain an audit result, and uploading the result after responding to and confirming the audit result;
and SS4, exiting and closing the login interface of the energy big data platform.
In an optional embodiment, in the step S1, the user terminal includes a desktop computer, a laptop computer, a mobile phone and a tablet, and is used to upload the data of the energy enterprise to the energy big data platform by itself.
In an optional embodiment, in the step S1, the intelligent monitoring device includes a current-voltage sensor, a water meter, a flow sensor, a density sensor, a temperature and humidity sensor, and a harmful gas sensor, so that the data of the energy enterprise can be conveniently and comprehensively collected by the user.
In an optional embodiment, in step S2, the communication module includes a wired network connection and a wireless network connection, and the wired network connection may be selected from one of PSTN access technology, ISDN access technology, ADSL access technology, FTTX optical fiber access technology, or FTTX + LAN access technology.
In an optional embodiment, in step S2, the wireless network connection in the communication module may select one of a GSM access technology, a CDMA access technology, a GPRS access technology, a CDPD access technology, an LMDS access technology, a DBS satellite access technology, a bluetooth access technology, a Home RF access technology, a WCDMA access technology, or a Z4Gex-04 access technology.
In an optional embodiment, in step S3, the keywords include enterprise names, submission times, IP addresses, enterprise scales, and enterprise types, data under the keywords are reviewed and verified, field null values are captured, and loading or replacement is performed on the data by using other meaning databases, and field format constraint definition can be implemented.
In an optional embodiment, in step S4, after the data of the energy enterprise is identified and processed, the result is stored in a database built in the energy big data platform, or the result is stored in a cloud database, and the stored data resources are classified according to enterprise and parameter keywords, a data resource catalog having characteristics of the energy industry is designed, complete metadata management, data resource search and data resource application are provided, catalog information is updated in time according to the change condition of the data resources, the reality, reliability and availability of the data resource catalog are ensured, and the application analysis requirements of the government, the enterprise and the public industry on the data are ensured.
It should be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (8)
1. A method for accessing energy enterprise data to a big data platform is characterized by comprising the following steps:
s1, constructing an energy big data platform, installing and debugging a user terminal and intelligent monitoring equipment in an energy enterprise, and installing, logging and uploading software on the user terminal;
s2, establishing a communication module, and transmitting enterprise data of the user terminal and the sensor to an energy big data platform;
s3, collecting energy enterprise data, timely, effectively and accurately collecting the data generated in the production process of the energy enterprise, classifying the collected energy enterprise data according to keywords, establishing an energy enterprise carbon asset management framework, and tracking and feeding back enterprise management process information in real time aiming at enterprise carbon asset development, carbon market analysis, carbon quota management, emission report compilation, quality control, audit risk control, carbon transaction operation and the like;
s4, distinguishing and processing energy enterprise data, reasonably replacing invalid data by methods of estimation, whole case deletion, variable deletion, paired deletion and the like, performing data complementation and other operations on blank data and missing data, establishing main external key constraint, performing data replacement on illegal data or exporting the illegal data to an error file for reprocessing, and converting the data format of source data into a target data format convenient for entering an energy big data center;
and S5, generating feedback and evaluation information, transmitting analysis and summary information and evaluation results of the energy enterprise data back to the energy enterprise user terminal, performing secondary determination by the energy enterprise user terminal, referring to the evaluation results, and providing scientific support and service for scientific management of the enterprise data.
2. The method for accessing the energy enterprise data to the big data platform according to claim 1, wherein in step S1, the login operation for logging in the uploading software comprises the following steps:
SS1, opening a login interface of the energy big data platform, inputting a user name and a password, and successfully entering a home page;
SS2, sequentially inputting the energy enterprise data according to the classification information interface of the main page;
SS3, after the input is finished, performing self-audit on the input information to obtain an audit result, and uploading the result after responding to and confirming the audit result;
and SS4, exiting and closing the login interface of the energy big data platform.
3. The method for accessing the energy enterprise data to the big data platform according to claim 1, wherein in the step S1, the user terminal includes a desktop computer, a laptop computer, a mobile phone and a tablet, and is used for uploading the data of the energy enterprise to the energy big data platform by itself.
4. The method for accessing the energy enterprise data to the big data platform according to claim 1, wherein in the step S1, the intelligent monitoring device comprises a current and voltage sensor, a water meter, a flow sensor, a density sensor, a temperature and humidity sensor and a harmful gas sensor, so that the energy enterprise data can be conveniently and comprehensively collected.
5. The method for accessing energy enterprise data to a big data platform according to claim 1, wherein in step S2, the communication module comprises a wired network connection and a wireless network connection, and the wired network connection is selected from one of PSTN access technology, ISDN access technology, ADSL access technology, FTTX fiber access technology, or FTTX + LAN access technology.
6. The method for accessing the energy enterprise data to the big data platform according to claim 1, wherein in step S2, the wireless network connection in the communication module may be one of a GSM access technology, a CDMA access technology, a GPRS access technology, a CDPD access technology, an LMDS access technology, a DBS satellite access technology, a bluetooth access technology, a Home RF access technology, a WCDMA access technology, or a Z4Gex-04 access technology.
7. The method for accessing the energy enterprise data to the big data platform according to claim 1, wherein in the step S3, the keywords include an enterprise name, a submission time, an IP address, an enterprise scale and an enterprise type, the data under the keywords are reviewed and verified again, the data under the keywords are loaded or replaced by other meaning databases by capturing field null values, and field format constraint definition can be realized.
8. The method for accessing the energy enterprise data to the big data platform according to claim 1, wherein in step S4, after the data of the energy enterprise is identified and processed, the result is stored in a database built in the energy big data platform or a cloud database, and the stored data resources are classified according to enterprise and parameter keywords, so as to design a data resource catalog having characteristics of energy industry, provide complete metadata management, data resource search and data resource application, and update catalog information in time according to the change of the data resources, ensure the reality, reliability and availability of the data resource catalog, and ensure the application analysis requirements of government, enterprise and social industries on the data.
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