CN111027026A - Meter reading data abnormity intelligent diagnosis system - Google Patents

Meter reading data abnormity intelligent diagnosis system Download PDF

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Publication number
CN111027026A
CN111027026A CN201911421570.7A CN201911421570A CN111027026A CN 111027026 A CN111027026 A CN 111027026A CN 201911421570 A CN201911421570 A CN 201911421570A CN 111027026 A CN111027026 A CN 111027026A
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data
meter
module
abnormal data
abnormal
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林华平
袁文帅
吴燊
李国君
郑力嘉
蒋晨曦
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Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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Abstract

The embodiment of the invention provides a meter reading data abnormity intelligent diagnosis system which comprises an abnormity data intelligent monitoring module, an abnormity data automatic judging module, an abnormity data statistical analysis module and a display module, wherein the abnormity data intelligent monitoring module is used for monitoring the abnormity data of a meter reading data; the abnormal data intelligent monitoring module is used for collecting abnormal data of automatic meter reading failure of any type of metering device on the distribution network side; the data automatic judging module is used for detecting, analyzing abnormity, intelligently diagnosing meter reading data and judging according to a unified standard rule; the abnormal data statistical analysis module is used for performing statistical analysis on the abnormal data; the display module is used for exporting the generated report and can dynamically configure various index abnormal data. By establishing the meter reading data abnormity intelligent diagnosis system for the metering reflux library and the marketing reflux library, meter reading data is monitored, analyzed abnormally and diagnosed intelligently, the manual analysis time of data analysis personnel is shortened, and the analysis accuracy is improved.

Description

Meter reading data abnormity intelligent diagnosis system
Technical Field
The invention relates to the field of meter reading data management, in particular to an intelligent diagnosis system for meter reading data abnormity.
Background
In a marketing system of a power grid company, a metering system database of a provincial company is not in a prefecture, so that the power grid company of the prefecture needs to return data of some base tables to the prefecture for some applications, and needs to perform abnormity diagnosis and analysis on the meter reading data.
At present, metering personnel manually perform abnormal investigation and analysis on meter reading data of a reflow library and manually perform statistical analysis on abnormal data, and the efficiency is very low.
Disclosure of Invention
The invention aims to provide an intelligent diagnosis system for meter reading data abnormity, which improves the analysis efficiency.
In order to achieve the purpose, the invention adopts the following technical scheme: an abnormal intelligent diagnosis system for meter reading data comprises an abnormal data intelligent monitoring module, an abnormal data automatic judging module, an abnormal data statistical analysis module and a display module;
the abnormal data intelligent monitoring module is used for collecting abnormal data of automatic meter reading failure of any type of metering device on the distribution network side;
the abnormal data automatic judgment module is used for detecting, analyzing and intelligently diagnosing the meter reading data and judging according to a unified standard rule;
the abnormal data statistical analysis module is used for performing statistical analysis on the abnormal data;
the display module is used for exporting the generated report and can dynamically configure various index abnormal data.
Optionally, the abnormal data automatic determination module is further configured to establish a reasonable rule base and an abnormal base through the basic file, the table code and the load data of the reflux database;
optionally, the abnormal data automatic determination module is further configured to determine abnormal data and an abnormal reason through determination; the abnormal reasons comprise offline, task invalidation and incorrect communication parameters.
Optionally, the abnormal data intelligent monitoring module and any type of metering device on the distribution network side include a negative control terminal, a distribution transformer terminal, a concentrator and an electric energy meter.
Optionally, the abnormal data intelligent monitoring module is further configured to automatically update data at set time intervals.
Optionally, the abnormal analysis content of the abnormal data statistical analysis module includes meter reading data missing and large daily and monthly freezing difference.
Optionally, the report generated by the presentation module includes an excel table, a word table, and a chart.
Optionally, the display module is a WEB display access.
Optionally, the reflow library includes a metered reflow library and a marketing reflow library.
Optionally, the intermediate data accessing user is established in the metering and reflow database, and 22 library tables are established, where the 22 library tables include: the system comprises a user meter, a metering point meter, a measuring point meter, a terminal asset meter, an electric energy meter asset meter, a low-voltage user meter, a low-voltage metering point meter, a low-voltage measuring point meter, a transformer user relation meter, a transformer metering point relation meter, a line meter, a station line relation meter, a monthly electricity meter code meter, a real-time electricity meter code meter, a voltage ammeter, a power meter, a terminal alarm, a monthly maximum demand meter and a private line user archive meter; the marketing reflux database establishes a link for accessing the metering reflux database; and the marketing reflux database pushes data to the 22 tables.
The invention has the beneficial effects that: the embodiment of the invention provides a meter reading data abnormity intelligent diagnosis system which comprises an abnormity data intelligent monitoring module, an abnormity data automatic judging module, an abnormity data statistical analysis module and a display module, wherein the abnormity data intelligent monitoring module is used for monitoring the abnormity data of a meter reading data; the abnormal data intelligent monitoring module is used for collecting abnormal data of automatic meter reading failure of any type of metering device on the distribution network side; the data automatic judging module is used for detecting, analyzing abnormity, intelligently diagnosing meter reading data and judging according to a unified standard rule; the abnormal data statistical analysis module is used for performing statistical analysis on the abnormal data; the display module is used for exporting the generated report and can dynamically configure various index abnormal data. By establishing the meter reading data abnormity intelligent diagnosis system for the metering reflux library and the marketing reflux library, meter reading data is monitored, analyzed abnormally and diagnosed intelligently, the manual analysis time of data analysis personnel is shortened, and the analysis accuracy is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a block flow diagram of an intelligent diagnosis system for meter reading data abnormality according to an embodiment of the present invention;
fig. 2 is an intelligent diagnosis flowchart of an intelligent diagnosis system for meter reading data abnormality according to an embodiment of the present invention.
In the figure: 1. an abnormal data intelligent monitoring module; 2. an abnormal data automatic judgment module; 3. an abnormal data statistical analysis module; 4. and a display module.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
In the description of the present invention, it should be noted that the terms "upper", "lower", "front", "rear", "left", "right", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in fig. 1, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
As shown in fig. 1, fig. 1 is a block flow diagram of an intelligent meter reading data abnormality diagnosis system according to an embodiment of the present invention.
The embodiment of the invention provides a meter reading data abnormity intelligent diagnosis system, which comprises an abnormal data intelligent monitoring module 1, an abnormal data automatic judging module 2, an abnormal data statistical analysis module 3 and a display module 4;
the abnormal data intelligent monitoring module 1 is used for collecting abnormal data of automatic meter reading failure of any type of metering device on the distribution network side; and automatically updates the data. Any type of metering device on the distribution network side comprises a negative control terminal, a distribution transformer terminal, a concentrator and an electric energy meter. The power distribution system can be one of a negative control terminal, a distribution transformer terminal, a concentrator and an electric energy meter.
The abnormal data automatic judgment module 2 is used for detecting, analyzing and intelligently diagnosing the meter reading data and judging according to a unified standard rule; firstly, an abnormal data automatic judging module detects the collected data, judges according to a unified standard rule, analyzes the abnormality and intelligently diagnoses the abnormality.
The abnormal data statistical analysis module 3 is used for performing statistical analysis on abnormal data; the accuracy of analyzing abnormal data is improved.
The display module 4 is used for exporting a generated report and can dynamically configure various index abnormal data.
Furthermore, the abnormal data automatic judgment module 2 is also used for establishing a reasonable rule base and an abnormal base through the basic file, the table code and the load data of the reflux database; firstly, a rule base is established through the basic files of the metering reflow library and the basic files of the marketing reflow library, and the automatic data judgment module judges according to a unified standard rule.
In one embodiment, as shown in fig. 2, the abnormal data automatic determination module 2 is further configured to determine abnormal data and an abnormal reason through determination; the abnormal reasons comprise offline, task invalidation and incorrect communication parameters.
Firstly, checking whether the field equipment is automatically stopped by a user or not through the exported abnormal data of the table, if so, checking whether a terminal is online, and if not, judging that the reason of the automatic meter reading failure is the automatic stop of the user;
further, whether the terminal is on-line or not is checked, and if the terminal is on-line, whether the task parameters of the terminal are correct or not is further checked; if the checking terminal is not on-line, dispatching a terminal off-line fault work order, and judging the failure reason is terminal off-line;
if the task parameters of the checking terminal are correct, checking whether the file communication parameters of the measuring points are correct; if the task parameters of the checking terminal are incorrect, the task is issued, and the failure reason is judged to be the acquisition task missing; if the communication parameters of the measurement point file are correct, further judging whether the month freezing data acquired by the system is correct, and if the month freezing data acquired by the system are correct, judging that the system is in a problem;
on the other hand, if the file communication parameters of the measuring points are incorrect, the user files are corrected to send correct parameters, and the reason is judged to be that the files are incorrect; if the system has incorrect moon-recovering frozen data, the system judges that the field equipment has faults, and the failure reason is that the moon-recovering frozen data are mistakenly recovered.
Furthermore, the abnormal data intelligent monitoring module 1, the metering device of any type of the distribution network side includes a negative control terminal, a distribution transformer terminal, a concentrator and an electric energy meter, and can be one of the negative control terminal, the distribution transformer terminal, the concentrator and the electric energy meter.
Further, the abnormal data intelligent monitoring module 1 is also used for automatically updating data at set time intervals. Can be set to 1 hour/time; 2 hours per time; 3 hours per time; 4 hours per time; 5 hours/time, and the like, and the time for updating the data is set as required.
Further, the abnormal analysis content of the abnormal data statistical analysis module 3 includes meter reading data missing and large day and month freezing difference.
Furthermore, the report generated by the display module 4 includes an excel table, a word table and a chart;
specifically, various indexes can be selected according to needs, and summarized to a table, and an excel table or other tables in selected forms are automatically generated and displayed.
Further, the display module 4 is used for WEB display access.
In one embodiment, the display module 4 is mainly displayed on the WEB, can access the WEB and export the automatic meter reading failure user, and the operation and maintenance personnel perform analysis according to the exported meter reading failure user, so that the operation and maintenance work efficiency of the terminal is improved.
In one embodiment, the reflow library includes a metered reflow library and a marketing reflow library. Specifically, a user accessing data in the middle of the establishment of the metering reflow library establishes 22 tables, and a marketing reflow library is granted the pushing authority only to the 22 tables; these 22 library tables include: the system comprises a user meter, a metering point meter, a measuring point meter, a terminal asset meter, an electric energy meter asset meter, a low-voltage user meter, a low-voltage metering point meter, a low-voltage measuring point meter, a transformer user relation meter, a transformer metering point relation meter, a line meter, a station line relation meter, a monthly electricity meter code meter, a real-time electricity meter code meter, a voltage ammeter, a power meter, a terminal alarm, a monthly maximum demand meter and a private line user archive meter.
A network of a marketing reflux database access metering reflux database is opened by the metering center and the information center together, and the information center establishes a link of the access metering reflux database in the marketing reflux database; the information center establishes a pushing storage process according to the pushing mode of the table, establishes an automatic operation regular operation pushing storage process, and pushes data to the metering reflux intermediate base table after marketing reflux every day, so that the data of the metering reflux base and the marketing reflux base are communicated and updated in real time.
To sum up, the embodiment of the invention provides an intelligent diagnosis system and a kit for meter reading data abnormity
The system comprises an abnormal data intelligent monitoring module, an abnormal data automatic judging module, an abnormal data statistical analysis module and a display module; the abnormal data intelligent monitoring module is used for collecting abnormal data of automatic meter reading failure of any type of metering device on the distribution network side; the data automatic judging module is used for detecting, analyzing abnormity, intelligently diagnosing meter reading data and judging according to a unified standard rule; the abnormal data statistical analysis module is used for performing statistical analysis on the abnormal data; the display module is used for exporting the generated report and can dynamically configure various index abnormal data. By establishing the meter reading data abnormity intelligent diagnosis system for the metering reflux library and the marketing reflux library, meter reading data is monitored, analyzed abnormally and diagnosed intelligently, the manual analysis time of data analysis personnel is shortened, and the analysis accuracy is improved.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. An abnormal intelligent diagnosis system for meter reading data is characterized by comprising an abnormal data intelligent monitoring module, an abnormal data automatic judging module, an abnormal data statistical analysis module and a display module;
the abnormal data intelligent monitoring module is used for collecting abnormal data of automatic meter reading failure of any type of metering device on the distribution network side;
the abnormal data automatic judgment module is used for detecting, analyzing and intelligently diagnosing the meter reading data and judging according to a unified standard rule;
the abnormal data statistical analysis module is used for performing statistical analysis on the abnormal data;
the display module is used for exporting the generated report and can dynamically configure various index abnormal data.
2. The system of claim 1, wherein the abnormal data automatic determination module is further configured to establish a reasonable rule base and an abnormal database according to the basic archive, the table code and the load data of the reflux database.
3. The meter reading data abnormity intelligent diagnosis system according to claim 2, wherein the abnormal data automatic judgment module is further used for judging abnormal data and abnormal reasons through judgment; the abnormal reasons comprise offline, task invalidation and incorrect communication parameters.
4. The system of claim 1, wherein the intelligent abnormal data monitoring module and any one of the metering devices on the distribution network side comprise a negative control terminal, a distribution transformer terminal, a concentrator and an electric energy meter.
5. The system of claim 1, wherein the intelligent abnormal data monitoring module is further configured to automatically update data at set intervals.
6. The system of claim 1, wherein the abnormal analysis content of the abnormal data statistical analysis module includes meter reading data loss and large day-month freezing difference.
7. The system of claim 1, wherein the report generated by the display module comprises an excel table, a word table and a chart.
8. The system of claim 1, wherein the display module is a WEB display access.
9. The system of claim 2, wherein the flowback database comprises a metered flowback database and a marketing flowback database.
10. The system of claim 9, wherein 22 library tables are created by establishing intermediate data accessing users in the metrology reflow database, wherein the 22 library tables include: the system comprises a user meter, a metering point meter, a measuring point meter, a terminal asset meter, an electric energy meter asset meter, a low-voltage user meter, a low-voltage metering point meter, a low-voltage measuring point meter, a transformer user relation meter, a transformer metering point relation meter, a line meter, a station line relation meter, a monthly electricity meter code meter, a real-time electricity meter code meter, a voltage ammeter, a power meter, a terminal alarm, a monthly maximum demand meter and a private line user archive meter; the marketing reflux database establishes a link for accessing the metering reflux database; and the marketing return flow database pushes data connection to the 22 tables.
CN201911421570.7A 2019-12-31 2019-12-31 Meter reading data abnormity intelligent diagnosis system Pending CN111027026A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111505374A (en) * 2020-04-29 2020-08-07 南方电网科学研究院有限责任公司 Two-in-one metering device with mutual inspection and self-diagnosis functions and detection method
CN111666273A (en) * 2020-06-05 2020-09-15 杭州炬华科技股份有限公司 Meter reading system data validity analysis method and device
CN112816933A (en) * 2020-12-30 2021-05-18 杭州海兴电力科技股份有限公司 Maintenance diagnosis method and system for electric energy meter terminal
CN114173216A (en) * 2021-09-16 2022-03-11 国网河北省电力有限公司营销服务中心 Electric energy meter field meter reading method and device, field meter reading terminal, storage medium and system
CN114173216B (en) * 2021-09-16 2024-04-26 国网河北省电力有限公司营销服务中心 Electric energy meter reading method and device, field meter reading terminal, storage medium and system

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CN106199276A (en) * 2016-07-25 2016-12-07 国电南瑞科技股份有限公司 The intelligent diagnosis system of abnormal information and method in a kind of power information acquisition system
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JP2010170337A (en) * 2009-01-22 2010-08-05 Hitachi Ltd Meter reading device management method, meter reading device management system, handy terminal, and meter reading device management server
JP2014138273A (en) * 2013-01-16 2014-07-28 Nakayo Telecommun Inc Meter reading data collection device, radio meter reading system, and meter reading data collection method
CN104219315A (en) * 2014-09-10 2014-12-17 国家电网公司 Operation monitoring system for electricity consumption information acquisition system and monitoring method thereof
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111505374A (en) * 2020-04-29 2020-08-07 南方电网科学研究院有限责任公司 Two-in-one metering device with mutual inspection and self-diagnosis functions and detection method
CN111666273A (en) * 2020-06-05 2020-09-15 杭州炬华科技股份有限公司 Meter reading system data validity analysis method and device
CN111666273B (en) * 2020-06-05 2023-09-26 杭州炬华科技股份有限公司 Meter reading system data validity analysis method and device
CN112816933A (en) * 2020-12-30 2021-05-18 杭州海兴电力科技股份有限公司 Maintenance diagnosis method and system for electric energy meter terminal
CN112816933B (en) * 2020-12-30 2024-05-03 杭州海兴电力科技股份有限公司 Maintenance diagnosis method and system for electric energy meter terminal
CN114173216A (en) * 2021-09-16 2022-03-11 国网河北省电力有限公司营销服务中心 Electric energy meter field meter reading method and device, field meter reading terminal, storage medium and system
CN114173216B (en) * 2021-09-16 2024-04-26 国网河北省电力有限公司营销服务中心 Electric energy meter reading method and device, field meter reading terminal, storage medium and system

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