CN113689104A - Fault statistical analysis method and device for electric energy metering device - Google Patents
Fault statistical analysis method and device for electric energy metering device Download PDFInfo
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Abstract
The embodiment of the invention discloses a method and a device for statistical analysis of faults of an electric energy metering device. The electric energy metering device fault statistical analysis method comprises the following steps: acquiring fault processing work orders of a plurality of electric energy metering devices; acquiring key field information in a fault processing work order, wherein the key field information comprises fault information and equipment information corresponding to the electric energy metering device; setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter categories corresponding to the equipment information and/or the parameter categories corresponding to the fault information; the fault information of the plurality of electric energy metering devices in each statistical range is counted, so that the statistical analysis of different dimensions of the fault information of the plurality of electric energy metering devices is realized, objective and accurate operation basis can be provided for the bidding work of the electric energy metering devices, and the reliability and effectiveness of the operation quality management execution work of the electric energy metering devices can be conveniently observed.
Description
Technical Field
The embodiment of the invention relates to the technical field of operation quality management of electric energy metering devices, in particular to a fault statistical analysis method and a fault statistical analysis device for an electric energy metering device.
Background
In recent years, the national power grid highly attaches importance to the operation quality management of the electric energy metering device, and more requirements are put forward on the operation quality management of the electric energy metering device.
The current electric energy metering device operation quality management only carries out special quality sampling inspection on electric energy metering devices and metering automation terminals (except station electric energy acquisition terminals) periodically and tracks the device operation quality. For example, a quality sampling inspection scheme is uniformly formulated for electric energy meters and metering automation terminals which operate for 1 year and mutual inductors which operate for 4 years. And the statistical analysis is not carried out on the operation quality of the electric energy metering device, so that objective and accurate operation basis cannot be provided for the bidding work of the electric energy metering device, and the reliability and effectiveness of the operation quality management execution work of the electric energy metering device cannot be observed, thereby being not beneficial to the management of the operation quality of the electric energy metering device in terms of source control.
Disclosure of Invention
The embodiment of the invention provides a method and a device for statistical analysis of faults of an electric energy metering device, which are used for performing statistical analysis on the operation quality of the electric energy metering device, thereby providing objective and accurate operation basis for bidding work of the electric energy metering device, being convenient for observing the reliability and effectiveness of the operation quality management execution work of the electric energy metering device and being beneficial to the control of the operation quality management of the electric energy metering device from the source.
In a first aspect, an embodiment of the present invention provides a method for statistical analysis of faults of an electric energy metering device, where the method for statistical analysis of faults of an electric energy metering device includes:
acquiring fault processing work orders of a plurality of electric energy metering devices, wherein one fault processing work order records primary fault information of the corresponding electric energy metering device;
acquiring key field information in the fault processing work order, wherein the key field information comprises the fault information and equipment information corresponding to the electric energy metering device;
setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter types corresponding to the equipment information and/or the parameter types corresponding to the fault information;
and counting the fault information of the plurality of electric energy metering devices in each counting range.
Optionally, the parameter category corresponding to the device information includes: the power supply unit, the arrival batch and the factory of the electric energy metering device; the parameter types corresponding to the fault information comprise: fault start time, fault end time and fault type;
setting the statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter category corresponding to the equipment information and/or the parameter category corresponding to the fault information, wherein the statistical ranges comprise:
and setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes on the basis of at least one of the power supply potential, the arrival batch, the factory, the fault starting time, the fault ending time and the fault type.
Optionally, the counting the fault information of the plurality of electric energy metering devices located in each of the statistical ranges includes:
and counting the fault information of the plurality of electric energy metering devices in each statistical range in a chart form.
Optionally, after the statistics of the fault information of the plurality of electric energy metering devices located in each of the statistical ranges, the method further includes:
and outputting and displaying the statistical results of the fault information of the plurality of electric energy metering devices in each statistical range.
Optionally, the setting of the statistical ranges of different statistical dimensions based on the parameter category corresponding to the device information and/or the parameter category corresponding to the fault information according to the corresponding preset statistical index further includes:
and performing data cleaning on the key field information to remove repeated key field information.
Optionally, before performing data cleansing on the key field information to remove the repeated key field information, the method further includes:
acquiring a fault code meter of the electric energy metering device;
and auditing the key field information of the electric energy metering device according to the fault code table so as to determine the repeated key field information corresponding to the electric energy metering device.
Optionally, the counting the fault information of the plurality of electric energy metering devices located in each of the statistical ranges includes:
checking the parameter information corresponding to the parameter category in the fault information;
when the parameter information is inconsistent with the parameter type or the parameter information is wrong, marking the fault processing work order corresponding to the fault information;
and sending the marked fault handling work order to a corresponding responsible personnel terminal.
Optionally, the electric energy metering device includes: the electric energy meter comprises an electric energy meter, a mutual inductor and a metering automation terminal.
In a second aspect, an embodiment of the present invention further provides an electric energy metering device fault statistics apparatus, where the electric energy metering device fault statistics analysis apparatus is configured to execute the electric energy metering device fault statistics analysis method according to the first aspect, where the electric energy metering device fault statistics apparatus includes:
the fault processing work order acquiring unit is used for acquiring fault processing work orders of a plurality of electric energy metering devices, wherein one fault processing work order records primary fault information of the corresponding electric energy metering device;
the key field information acquisition unit is used for extracting key field information in the fault processing work order, and the key field information comprises the fault information and equipment information corresponding to the electric energy metering device;
the statistical range setting unit is used for setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes on the basis of the parameter types corresponding to the equipment information and/or the parameter types corresponding to the fault information;
and the statistical unit is used for counting the fault information of the plurality of electric energy metering devices in each statistical range.
Optionally, the method further includes: a data cleaning unit; the data cleaning unit is used for cleaning the key field information to remove repeated key field information.
According to the method and the device for statistical analysis of the faults of the electric energy metering devices, the fault processing work orders of a plurality of electric energy metering devices are obtained, wherein one fault processing work order records primary fault information of the corresponding electric energy metering device; further, key field information in the fault processing work order is obtained, wherein the key field information comprises fault information and equipment information corresponding to the electric energy metering device; setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter types corresponding to the equipment information and/or the parameter types corresponding to the fault information; and finally, the fault information of the plurality of electric energy metering devices in each statistical range is counted, so that the statistical analysis of different dimensions of the fault information of the plurality of electric energy metering devices is realized, objective and accurate operation basis can be provided for the bidding work of the electric energy metering devices, the reliability and effectiveness of the operation quality management execution work of the electric energy metering devices can be conveniently observed, and the management of the operation quality of the electric energy metering devices is controlled from the source.
Drawings
Fig. 1 is a flowchart of a method for analyzing the fault statistics of an electric energy metering device according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for analyzing the statistics of faults of an electric energy metering device according to an embodiment of the present invention;
FIG. 3 is a flow chart of another method for analyzing the statistics of faults of an electric energy metering device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a fault statistics apparatus of an electric energy metering apparatus according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a flowchart of a method for analyzing statistics of faults of an electric energy metering device according to an embodiment of the present invention.
Referring to fig. 1, the method for analyzing the fault statistics of the electric energy metering device includes:
and S10, acquiring fault processing work orders of the plurality of electric energy metering devices, wherein one fault processing work order records primary fault information of the corresponding electric energy metering device.
Specifically, when a fault occurs in the electric energy metering device, the electric energy metering device is maintained for the fault, and a fault processing work order is provided, wherein fault information related to the fault is recorded on the fault processing work order, and the fault information includes, but is not limited to, a fault phenomenon of the fault and time from the beginning to the end of the fault. Moreover, if one electric energy metering device can generate a plurality of faults, the electric energy metering device corresponds to a plurality of fault processing work orders. The fault processing work orders of the plurality of electric energy metering devices can be obtained from a national power grid enterprise foreground system, wherein all the fault processing work orders of each electric energy metering device are obtained. The plurality of electric energy metering devices can be configured in different or the same geographical areas, shipped from different or the same manufacturers, shipped to different or the same shipment batches and supplied with power to different or the same power supply potential.
And S11, acquiring key field information in the fault processing work order, wherein the key field information comprises fault information and equipment information corresponding to the electric energy metering device.
Specifically, a group of key field information corresponds to a fault handling work order, and a group of key field information includes fault information recorded by the corresponding fault handling work order and equipment information corresponding to the electric energy metering device.
And S12, setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter types corresponding to the equipment information and/or the parameter types corresponding to the fault information.
For example, the parameter categories corresponding to the fault information may be: the fault starting time and the fault ending time corresponding to the time from the beginning to the end of the fault, and the fault type corresponding to the fault phenomenon. Namely, the fault starting time, the fault ending time and the fault type are three parameter types corresponding to the fault information.
Different statistical dimensions correspond to statistics under different parameter categories or combinations of different parameter categories. When a parameter class or a combination of parameter classes is determined, a statistical dimension is also determined. After the statistical dimension is determined, according to the preset statistical index corresponding to the statistical dimension, the statistical range under the statistical dimension can be set. The preset statistical index can be set according to actual needs.
And S13, counting the fault information of the plurality of electric energy metering devices in each counting range.
The fault information of the plurality of electric energy metering devices within each statistical range is counted, namely, the statistical analysis of different dimensions of the fault information of the plurality of electric energy metering devices is realized, so that objective and accurate operation basis can be provided for the bidding work of the electric energy metering devices, the reliability and effectiveness of the operation quality management execution work of the electric energy metering devices are convenient to observe, and the management of the operation quality of the electric energy metering devices is controlled in the source.
Optionally, the electric energy metering device in this embodiment includes, but is not limited to, an electric energy meter, a transformer, and a metering automation terminal.
On the basis of the foregoing embodiments, optionally, the parameter categories corresponding to the device information include, but are not limited to: the power supply unit, the delivery batch and the factory of the electric energy metering device. The parameter categories corresponding to the fault information include, but are not limited to: fault start time, fault end time, and fault type. Step S12, setting a statistical range of different statistical dimensions according to a preset statistical index based on a parameter category corresponding to the device information and/or a parameter category corresponding to the fault information, including: and setting the statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on at least one of the power supply potential, the arrival batch, the factory, the failure start time, the failure end time and the failure type.
Illustratively, the first statistical dimension is: and selecting a power supply unit, a factory and the fault starting time of the electric energy metering device for statistics. The preset statistical indexes are as follows: power supply unit A1, factory B1 and fault start time C1. Then, the first statistical dimension statistical range is: the power supply unit is a power supply unit A1, the factory manufacturer is a factory manufacturer B1, and the fault starting time is a fault starting time C1. Therefore, the fault information of the plurality of electric energy metering devices of which the power supply unit is the power supply unit A1, the factory manufacturer is the factory manufacturer B1 and the fault starting time is the fault starting time C1 can be counted, so that the counting result can facilitate the observation of the effectiveness of the operation quality management execution work of the electric energy metering devices, such as whether the operation quality maintenance resources are reasonably distributed and the like, including whether the operation quality maintenance reserves are reasonably distributed and whether the operation quality maintenance personnel reasonably call.
The second statistical dimension is: and selecting a factory manufacturer and a delivery batch of the electric energy metering device for statistics. The preset statistical indexes are as follows: factory B1 and shipment lot D1. Then, the second statistical dimension statistical range is: the factory manufacturer of the electric energy metering device is factory manufacturer B1 and the arrival batch is arrival batch D1. Therefore, the fault information of the plurality of electric energy metering devices of which the factory manufacturers are the factory manufacturers B1 and the arrival batches are the arrival batches D1 can be counted, and therefore the counting result can provide objective and accurate operation basis for bidding work of the electric energy metering devices, and management of the operation quality of the electric energy metering devices is controlled from the source.
Illustratively, the third statistical dimension is: and selecting a power supply unit, the fault starting time and the fault ending time of the electric energy metering device for statistics. The preset statistical indexes are as follows: a power supply unit a1, a fault start time E1, and a fault end time F1. Then, the third statistical dimension statistical range is: the power supply unit is the power supply unit a1, the fault start time is the fault start time E1, and the fault end time is the fault end time F1. Accordingly, the fault information of a plurality of electric energy metering devices with the power supply unit of A1, the fault starting time of E1 and the fault ending time of F1 can be counted, so that the counting result can facilitate the observation of the effectiveness of the operation quality management execution work of the electric energy metering devices, such as whether the operation quality maintenance resources are effective or not, including whether the operation quality maintenance is timely or not and whether the maintenance level of the operation quality maintenance personnel is over-closed or not.
Based on the foregoing embodiments, optionally, the step S13 of counting the fault information of the plurality of electric energy metering devices located in the statistical ranges includes: auditing the parameter information of the corresponding parameter category in the fault information; when the parameter information is inconsistent with the parameter type or the parameter information is wrong, marking a fault processing work order corresponding to the fault information; and sending the marked fault handling work order to a corresponding responsible personnel terminal.
Specifically, in the process of counting the fault information of the plurality of electric energy metering devices within each statistical range, parameter information of corresponding parameter types in the fault information is also checked. Exemplarily, the parameter type is a fault type, and the parameter information corresponding to the fault type is a fault phenomenon; when the fault phenomenon and the fault type are obviously inconsistent after being checked, for example, the fault type is the correction of the electric energy meter and the fault phenomenon is the coil fault of the mutual inductor, and the description is the report quality deviation of the fault processing work order, the fault processing work order corresponding to the fault information is marked, the marked fault processing work order is sent to the corresponding responsible personnel terminal, and the address of the responsible personnel terminal can be obtained from the equipment information. The embodiment can observe the reliability of the operation quality management execution work of the electric energy metering device, and the filling quality of the fault processing work order in the operation quality management of the electric energy metering device is convenient to improve. Illustratively, the parameter information is a fault starting time and a fault ending time, and when the fault ending time is checked to be earlier than the fault starting time, the marked fault processing work order is also described and sent to the corresponding responsible personnel terminal.
On the basis of the foregoing embodiments, optionally, the counting the fault information of the plurality of electric energy metering devices located in each statistical range includes: and counting the fault information of the plurality of electric energy metering devices in each counting range in a chart form. On the basis of the foregoing embodiments, optionally, after counting the fault information of the plurality of electric energy metering devices located in each statistical range, the method further includes: and outputting and displaying the statistical results of the fault information of the plurality of electric energy metering devices in each statistical range.
Fig. 2 is a flowchart of another method for analyzing the fault statistics of the electric energy metering device according to the embodiment of the present invention. Referring to fig. 2, the method for analyzing the fault statistics of the electric energy metering device includes:
and S20, acquiring fault processing work orders of the plurality of electric energy metering devices, wherein one fault processing work order records primary fault information of the corresponding electric energy metering device.
And S21, acquiring key field information in the fault processing work order, wherein the key field information comprises fault information and equipment information corresponding to the electric energy metering device.
And S22, setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter types corresponding to the equipment information and/or the parameter types corresponding to the fault information.
And S23, counting the fault information of the plurality of electric energy metering devices in each counting range in a chart form.
Specifically, when the fault information of the plurality of electric energy metering devices in each statistical range is counted, a chart format can be used for counting, such as a pie chart, a line chart and a bar chart, so that visual observation is facilitated subsequently.
And S24, outputting and displaying the statistical results of the fault information of the plurality of electric energy metering devices in each statistical range.
Specifically, the statistical results, such as the obtained pie chart, line chart, and bar chart, can be output to the display for visual observation.
On the basis of the foregoing embodiments, optionally, before setting the statistical ranges of different statistical dimensions based on the parameter category corresponding to the device information and/or the parameter category corresponding to the fault information according to the corresponding preset statistical index, the method further includes: and performing data cleaning on the key field information to remove repeated key field information.
Fig. 3 is a flowchart of another method for analyzing the fault statistics of the electric energy metering device according to the embodiment of the present invention. Referring to fig. 3, the method for analyzing the fault statistics of the electric energy metering device includes:
and S30, acquiring fault processing work orders of the plurality of electric energy metering devices, wherein one fault processing work order records primary fault information of the corresponding electric energy metering device.
And S31, acquiring key field information in the fault processing work order, wherein the key field information comprises fault information and equipment information corresponding to the electric energy metering device.
And S32, performing data cleaning on the key field information to remove repeated key field information.
Specifically, one fault processing work order records primary fault information of the corresponding electric energy metering device, but in practice, the primary fault information of the electric energy metering device may be recorded for multiple times, so that the condition that the primary fault information corresponds to multiple repeated fault processing work orders occurs. Therefore, in the embodiment, after the key field information in the fault processing work orders of the plurality of electric energy metering devices is obtained, data cleaning is performed on the key field information, and it is ensured that one fault of one electric energy metering device corresponds to one fault processing work order, so that the reliability of fault statistical analysis is ensured.
Optionally, before performing data cleansing on the key field information to remove duplicate key field information in step S32, the method further includes: acquiring a fault code meter of the electric energy metering device; and auditing the key field information of the electric energy metering device according to the fault code table so as to determine repeated key field information corresponding to the electric energy metering device. Specifically, the fault code table is used for recording the number of times of faults of the electric energy metering device, and when the number of times of faults of the electric energy metering device recorded by the fault code table is inconsistent with the group number of the key field information, the condition that the fault code table records errors or a repeated fault processing work order exists is indicated, and then repeated key field information corresponding to the electric energy metering device is determined.
And S33, setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter types corresponding to the equipment information and/or the parameter types corresponding to the fault information.
And S34, counting the fault information of the plurality of electric energy metering devices in each counting range in a chart form.
And S35, outputting and displaying the statistical results of the fault information of the plurality of electric energy metering devices in each statistical range.
The embodiment of the invention also provides a fault statistical analysis device of the electric energy metering device, which is used for executing the fault statistical analysis method of the electric energy metering device according to any technical scheme. Fig. 4 is a schematic structural diagram of a fault statistics apparatus of an electric energy metering apparatus according to an embodiment of the present invention. Referring to fig. 4, the electric energy metering device fault counting device includes:
the fault processing work order obtaining unit 10 is configured to obtain fault processing work orders of a plurality of electric energy metering devices, where one fault processing work order records primary fault information of a corresponding electric energy metering device. And the key field information obtaining unit 20 is configured to extract key field information in the fault processing work order, where the key field information includes fault information and device information corresponding to the electric energy metering device. The statistical range setting unit 30 is configured to set statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter category corresponding to the device information and/or the parameter category corresponding to the fault information. And the statistical unit 40 is used for performing statistics on the fault information of the plurality of electric energy metering devices positioned in each statistical range. With continued reference to fig. 4, optionally, the electric energy metering device fault counting device further includes: a data cleansing unit 50; the data cleaning unit is used for cleaning the key field information to remove repeated key field information.
The electric energy metering device fault statistical analysis device and the electric energy metering device fault statistical analysis method provided by the embodiment of the invention belong to the same invention concept, can realize the same technical effect, and repeated contents are not repeated herein.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for analyzing the fault statistics of an electric energy metering device is characterized by comprising the following steps:
acquiring fault processing work orders of a plurality of electric energy metering devices, wherein one fault processing work order records primary fault information of the corresponding electric energy metering device;
acquiring key field information in the fault processing work order, wherein the key field information comprises the fault information and equipment information corresponding to the electric energy metering device;
setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter types corresponding to the equipment information and/or the parameter types corresponding to the fault information;
and counting the fault information of the plurality of electric energy metering devices in each counting range.
2. The method for statistically analyzing the faults of the electric energy metering device according to claim 1, wherein the parameter categories corresponding to the equipment information include: the power supply unit, the arrival batch and the factory of the electric energy metering device; the parameter types corresponding to the fault information comprise: fault start time, fault end time and fault type;
setting the statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter category corresponding to the equipment information and/or the parameter category corresponding to the fault information, wherein the statistical ranges comprise:
and setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes on the basis of at least one of the power supply potential, the arrival batch, the factory, the fault starting time, the fault ending time and the fault type.
3. The method for analyzing the statistics of the faults of the electric energy metering devices according to claim 1, wherein the statistics of the fault information of a plurality of the electric energy metering devices located in each statistical range includes:
and counting the fault information of the plurality of electric energy metering devices in each statistical range in a chart form.
4. The method for analyzing the statistics of the faults of the electric energy metering devices according to claim 3, wherein after the statistics of the fault information of the plurality of electric energy metering devices located in each statistical range, the method further comprises:
and outputting and displaying the statistical results of the fault information of the plurality of electric energy metering devices in each statistical range.
5. The method for statistical analysis of faults of electric energy metering devices according to claim 1, wherein the method further comprises the following steps before setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes based on the parameter categories corresponding to the equipment information and/or the parameter categories corresponding to the fault information:
and performing data cleaning on the key field information to remove repeated key field information.
6. The method for statistically analyzing faults of an electric energy metering device according to claim 5, wherein before performing data cleaning on the key field information to remove repeated key field information, the method further comprises:
acquiring a fault code meter of the electric energy metering device;
and auditing the key field information of the electric energy metering device according to the fault code table so as to determine the repeated key field information corresponding to the electric energy metering device.
7. The method for analyzing the statistics of the faults of the electric energy metering devices according to claim 1, wherein the statistics of the fault information of a plurality of the electric energy metering devices located in each statistical range includes:
checking the parameter information corresponding to the parameter category in the fault information;
when the parameter information is inconsistent with the parameter type or the parameter information is wrong, marking the fault processing work order corresponding to the fault information;
and sending the marked fault handling work order to a corresponding responsible personnel terminal.
8. The method for statistically analyzing the faults of the electric energy metering device according to claim 1, wherein the electric energy metering device comprises: the electric energy meter comprises an electric energy meter, a mutual inductor and a metering automation terminal.
9. An electric energy metering device fault statistic analysis device for executing the electric energy metering device fault statistic analysis method according to any one of claims 1 to 8, the electric energy metering device fault statistic device comprising:
the fault processing work order acquiring unit is used for acquiring fault processing work orders of a plurality of electric energy metering devices, wherein one fault processing work order records primary fault information of the corresponding electric energy metering device;
the key field information acquisition unit is used for extracting key field information in the fault processing work order, and the key field information comprises the fault information and equipment information corresponding to the electric energy metering device;
the statistical range setting unit is used for setting statistical ranges of different statistical dimensions according to corresponding preset statistical indexes on the basis of the parameter types corresponding to the equipment information and/or the parameter types corresponding to the fault information;
and the statistical unit is used for counting the fault information of the plurality of electric energy metering devices in each statistical range.
10. The device for statistical analysis of faults of an electric energy metering device according to claim 9, further comprising: a data cleaning unit; the data cleaning unit is used for cleaning the key field information to remove repeated key field information.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107203838A (en) * | 2017-05-03 | 2017-09-26 | 北京海顿中科技术有限公司 | Equipment management system |
| CN107730074A (en) * | 2017-09-12 | 2018-02-23 | 国网福建省电力有限公司 | Based on tearing the quality supervision and control platform that moves back intelligent meter flow-line equipment open |
| CN112148897A (en) * | 2020-09-14 | 2020-12-29 | 深圳供电局有限公司 | Automatic retrieval and classification method and system for fault information of power system |
| CN112183782A (en) * | 2020-10-13 | 2021-01-05 | 中国联合网络通信集团有限公司 | Fault work order processing method and equipment |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107203838A (en) * | 2017-05-03 | 2017-09-26 | 北京海顿中科技术有限公司 | Equipment management system |
| CN107730074A (en) * | 2017-09-12 | 2018-02-23 | 国网福建省电力有限公司 | Based on tearing the quality supervision and control platform that moves back intelligent meter flow-line equipment open |
| CN112148897A (en) * | 2020-09-14 | 2020-12-29 | 深圳供电局有限公司 | Automatic retrieval and classification method and system for fault information of power system |
| CN112183782A (en) * | 2020-10-13 | 2021-01-05 | 中国联合网络通信集团有限公司 | Fault work order processing method and equipment |
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