CN112651701A - Automatic processing method for D5000 system data - Google Patents
Automatic processing method for D5000 system data Download PDFInfo
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- CN112651701A CN112651701A CN202011127049.5A CN202011127049A CN112651701A CN 112651701 A CN112651701 A CN 112651701A CN 202011127049 A CN202011127049 A CN 202011127049A CN 112651701 A CN112651701 A CN 112651701A
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Abstract
The invention relates to a D5000 system data automatic processing method, which comprises the following steps: respectively and automatically calling systems corresponding to the application scenes according to different application scenes, and inputting an account password for login by an operator; an operator selects a set parameter to be inquired, and then required data is automatically extracted from an original data source of the system according to the set parameter; collecting the extracted data into an excel table to be stored for later use; and setting parameters by an operator aiming at the data in the excel table, automatically screening and counting the data, and outputting and storing the data. Through the whole flow realization automation mechanized operation with data extraction, the operating personnel manual operation that has significantly reduced has not only effectively improved operating efficiency, is difficult for moreover makeing mistakes, has improved the accuracy of operation.
Description
Technical Field
The invention relates to the technical field of power supply data processing, in particular to a D5000 system data automatic processing method.
Background
Due to the fact that functions of the D5000 system are imperfect at present, data formats need to be adjusted and counted manually when dispatchers of North Power supply companies in Chongqing of China and network conduct statistics of alarm data, power utilization period inspection data and standing book maintenance data, due to the fact that data volumes are huge, the traditional mode is mainly clicking query in time periods of mechanical and repetitive clicking operation, queried data are exported into excel forms, and finally manual screening and statistics are conducted by operators.
Due to the fact that the data size is large, the work task of an operator is heavy, manual operation is prone to making mistakes, and accuracy of data statistics is affected.
Disclosure of Invention
The invention aims to provide a D5000 system data automatic processing method to solve the defects in the prior art.
The technical scheme for solving the technical problems is as follows:
a D5000 system data automatic processing method comprises the following steps:
s1, respectively and automatically calling systems corresponding to the application scenes according to different application scenes, and inputting an account password for login by an operator;
s2, the operator selects the setting parameter to be inquired, and then automatically extracts the needed data from the original data source of the system according to the setting parameter;
s3, summarizing the extracted data into an excel table for storage and standby;
and S4, setting parameters by an operator according to the data in the excel table, automatically screening and counting the data, and outputting and storing the data.
Specifically, in step S1, the application scenarios are divided into three categories, that is, statistical analysis is performed on the telecommand displacement alarm data; secondly, carrying out statistical analysis on the power utilization period inspection data; thirdly, performing statistical analysis on the changed equipment standing book maintenance data;
furthermore, when the remote signaling displacement alarm data is subjected to statistical analysis, the method mainly comprises the following steps of opening a web page of the system and inputting an account number and a password to log in the system; selecting the alarm type as remote signaling deflection; selecting a time period to be queried and clicking for query; exporting into an excel table; automatically performing screening statistics and outputting results for storage;
furthermore, when the electricity cycle inspection data is subjected to statistical analysis, the method mainly comprises the following steps of opening an SG186 system, and inputting an account number and a password to log in the system; selecting power utilization inspection management; selecting a time period to be queried and clicking for query; according to the number of the inquired plan numbers, clicking one by one to inquire the detail of the next-level sub-items; copying all contents in each plan number sub item to excel for gathering; checking the summarized content;
furthermore, when statistical analysis is carried out on the changed equipment standing book maintenance data, the method mainly comprises the following steps of opening the PMS and inputting an account password to log in the system; selecting a task needing standing book maintenance in a flow to be handled; automatically modifying one by one according to the type of the equipment;
more specifically, when data is automatically extracted, the data is automatically acquired by adopting a button, and the time scheduling management of the data acquisition is carried out by using an Azkaban tool;
the invention has the beneficial effects that: through the whole flow realization automation mechanized operation with data extraction, the operating personnel manual operation that has significantly reduced has not only effectively improved operating efficiency, is difficult for moreover makeing mistakes, has improved the accuracy of operation.
Drawings
FIG. 1 is a schematic view of a data processing flow according to the present invention;
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, an automated processing method for D5000 system data includes the following steps:
s1, respectively and automatically calling systems corresponding to the application scenes according to different application scenes, and inputting an account password for login by an operator;
s2, the operator selects the setting parameter to be inquired, and then automatically extracts the needed data from the original data source of the system according to the setting parameter;
s3, summarizing the extracted data into an excel table for storage and standby;
and S4, setting parameters by an operator according to the data in the excel table, automatically screening and counting the data, and outputting and storing the data.
Specifically, in step S1, the application scenarios are divided into three categories, that is, statistical analysis is performed on the telecommand displacement alarm data; secondly, carrying out statistical analysis on the power utilization period inspection data; thirdly, performing statistical analysis on the changed equipment standing book maintenance data;
furthermore, when the remote signaling displacement alarm data is subjected to statistical analysis, the method mainly comprises the following steps of opening a web page of the system and inputting an account number and a password to log in the system; selecting the alarm type as remote signaling deflection; selecting a time period to be queried and clicking for query; exporting into an excel table; automatically performing screening statistics and outputting results for storage;
furthermore, when the electricity cycle inspection data is subjected to statistical analysis, the method mainly comprises the following steps of opening an SG186 system, and inputting an account number and a password to log in the system; selecting power utilization inspection management; selecting a time period to be queried and clicking for query; according to the number of the inquired plan numbers, clicking one by one to inquire the detail of the next-level sub-items; copying all contents in each plan number sub item to excel for gathering; checking the summarized content;
furthermore, when statistical analysis is carried out on the changed equipment standing book maintenance data, the method mainly comprises the following steps of opening the PMS and inputting an account password to log in the system; selecting a task needing standing book maintenance in a flow to be handled; automatically modifying one by one according to the type of the equipment;
repeated mechanical clicking operation is carried out by original artifical login system, changes into only needing the manual work to maintain the template according to PMS system equipment machine account, maintains equipment machine account information on local office computer after, uploads to flow automation platform, and the operation is operated by automatic operation robot completely thereafter, realizes the automatic of PMS system equipment machine account and types in, alleviates staff's work burden, promotes work efficiency.
More specifically, when data is automatically extracted, the data is automatically acquired by adopting a button, and the time scheduling management of the data acquisition is carried out by using an Azkaban tool;
the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (6)
1. A D5000 system data automatic processing method is characterized in that: the method comprises the following steps:
s1, respectively and automatically calling systems corresponding to the application scenes according to different application scenes, and inputting an account password for login by an operator;
s2, the operator selects the setting parameter to be inquired, and then automatically extracts the needed data from the original data source of the system according to the setting parameter;
s3, summarizing the extracted data into an excel table for storage and standby;
and S4, setting parameters by an operator according to the data in the excel table, automatically screening and counting the data, and outputting and storing the data.
2. The automated D5000 system data processing method according to claim 1, characterized in that: in the step S1, the application scenarios are classified into three categories, that is, statistical analysis is performed on the remote signaling displacement alarm data; secondly, carrying out statistical analysis on the power utilization period inspection data; and thirdly, performing statistical analysis on the changed equipment standing book maintenance data.
3. The automated D5000 system data processing method according to claim 2, characterized in that: when the remote signaling deflection alarm data is subjected to statistical analysis, the method mainly comprises the following steps of opening a web page of the system and inputting an account number and a password to log in the system; selecting the alarm type as remote signaling deflection; selecting a time period to be queried and clicking for query; exporting into an excel table; and automatically performing screening statistics and outputting results for storage.
4. The automated D5000 system data processing method according to claim 2, characterized in that: when the electricity cycle inspection data are subjected to statistical analysis, the method mainly comprises the following steps of opening an SG186 system, and inputting an account number and a password to log in the system; selecting power utilization inspection management; selecting a time period to be queried and clicking for query; according to the number of the inquired plan numbers, clicking one by one to inquire the detail of the next-level sub-items; copying all contents in each plan number sub item to excel for gathering; the aggregated content is checked.
5. The automated D5000 system data processing method according to claim 2, characterized in that: when the statistical analysis is carried out on the changed equipment ledger maintenance data, the method mainly comprises the following steps of opening the PMS and inputting an account password to log in the system; selecting a task needing standing book maintenance in a flow to be handled; and automatically modifying the equipment items by items according to the equipment types.
6. The automated D5000 system data processing method according to any one of claims 3 to 5, characterized in that: when the data is automatically extracted, the data is automatically collected by adopting a button, and the time scheduling management of the data collection is carried out by using an Azkaban tool.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107133338A (en) * | 2017-05-16 | 2017-09-05 | 廊坊市新思维科技有限公司 | Non-destructive Testing Data auditing system |
CN109508331A (en) * | 2018-09-26 | 2019-03-22 | 国家电网有限公司 | Power grid financial data processing method and system |
CN111666741A (en) * | 2020-05-22 | 2020-09-15 | 深圳供电局有限公司 | Automatic generation method of scheduling comprehensive report |
CN111708814A (en) * | 2020-04-27 | 2020-09-25 | 广东电网有限责任公司东莞供电局 | Data statistical method, device, equipment and medium |
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Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107133338A (en) * | 2017-05-16 | 2017-09-05 | 廊坊市新思维科技有限公司 | Non-destructive Testing Data auditing system |
CN109508331A (en) * | 2018-09-26 | 2019-03-22 | 国家电网有限公司 | Power grid financial data processing method and system |
CN111708814A (en) * | 2020-04-27 | 2020-09-25 | 广东电网有限责任公司东莞供电局 | Data statistical method, device, equipment and medium |
CN111666741A (en) * | 2020-05-22 | 2020-09-15 | 深圳供电局有限公司 | Automatic generation method of scheduling comprehensive report |
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