CN114062801A - Power failure event quasi-real-time monitoring method and system based on edge calculation - Google Patents
Power failure event quasi-real-time monitoring method and system based on edge calculation Download PDFInfo
- Publication number
- CN114062801A CN114062801A CN202111204368.6A CN202111204368A CN114062801A CN 114062801 A CN114062801 A CN 114062801A CN 202111204368 A CN202111204368 A CN 202111204368A CN 114062801 A CN114062801 A CN 114062801A
- Authority
- CN
- China
- Prior art keywords
- power failure
- electric energy
- energy meter
- intelligent electric
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000012544 monitoring process Methods 0.000 title claims abstract description 30
- 238000004364 calculation method Methods 0.000 title claims abstract description 23
- 238000004519 manufacturing process Methods 0.000 claims description 21
- 238000007405 data analysis Methods 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 abstract description 7
- 238000005516 engineering process Methods 0.000 abstract description 5
- 230000008439 repair process Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
- H02J3/0012—Contingency detection
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to a method and a system for monitoring power failure events in a quasi-real-time manner based on edge calculation, and belongs to the technical field of alarm monitoring. The method comprises the following steps: acquiring data of the intelligent electric energy meter under the platform area; intelligent identification of power failure branch lines or users; and (5) analyzing and comprehensively judging the alarm of the metering master station. The invention collects and analyzes the customer power failure event based on the edge computing technology, comprehensively verifies the power failure alarm data by utilizing the operation data of the intelligent metering terminal at the edge side, and uploads the power failure alarm data to the metering automation master station, and the metering automation master station carries out multi-dimensional comprehensive analysis and judgment, thereby improving the accuracy of power grid power failure identification and meeting the requirements of dispatching power distribution network fault monitoring and emergency repair and power supply quality reliability.
Description
Technical Field
The invention belongs to the technical field of alarm monitoring, and particularly relates to a power failure event quasi-real-time monitoring method and system based on edge calculation.
Background
At present, the existing user power failure modeling technology is influenced by some factors, and mainly comprises uncertain user relation, terminal performance quality, acquisition point communication quality, a power failure data complementary acquisition mechanism, a power failure event judgment rule and the like. And all power failure related events are analyzed and judged by the master station, so that the problems of low calculation efficiency, false alarm, missing alarm and the like frequently occur. Aiming at the phenomenon, an effective model algorithm is needed to transfer a data calculation and analysis task from a main station to terminal equipment at an edge side, so that the calculation task of the main station is effectively reduced, the efficiency of event monitoring is improved, the quasi-real-time performance of power failure event judgment is ensured, and the false alarm rate and the missing alarm rate of the whole system are reduced.
Disclosure of Invention
With the development and maturity of the edge computing technology, the edge computing technology can efficiently and reasonably acquire and process the user power failure data, and in view of the above, the invention aims to provide a power failure event quasi-real-time monitoring model construction method based on edge computing, which acquires and utilizes data at a terminal side to judge the user power failure event. Thereby overcoming the deficiencies of the prior art.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
the method for monitoring the power failure event in quasi-real time based on the edge calculation comprises the following steps:
step S1: data acquisition of the intelligent electric energy meter under the transformer area:
acquiring voltage data of the intelligent electric energy meter under the distribution room periodically according to time intervals, analyzing by using the acquired voltage data, and rejecting the intelligent electric energy meter data in the non-local distribution room;
step S2: intelligent identification of power outage branch lines or users:
the edge side intelligent metering terminal receives an active power failure reporting event of the intelligent electric energy meter in real time, and acquires voltage data of the intelligent electric energy meter in real time after data analysis; if the voltage data returned by the intelligent electric energy meter cannot be received within a certain time or the voltage data is lower than the limit value, the power failure of the household is judged;
if the active power failure reporting event of the intelligent electric energy meter is not received, judging the voltage data of the intelligent electric energy meter which is periodically collected; if the voltage data are not acquired in two continuous periods or the voltage data are lower than the limit value, continuously acquiring the data of the intelligent electric energy meter of the user for a period of time; if the voltage requirement is not met, determining a power failure event;
step S3: and (3) analyzing and comprehensively judging the alarm of the metering master station:
the edge side intelligent metering terminal uploads the collected user power failure events to the metering automation master station in real time; and the metering automation master station performs comprehensive judgment by combining planned power failure and line fault power failure of the production management system to obtain final user power failure information.
Further, in step S1, it is preferable that the edge-side smart metering terminal be used to periodically collect voltage data of the smart electric energy meters in the distribution room.
Further, preferably, in step S1, the specific method for rejecting the intelligent electric energy meter data in the non-local area by using the spatiotemporal property of the voltage data includes: analyzing voltage data acquired by the intelligent electric energy meters in the transformer area in a certain time area, wherein the voltage variation trends in the same transformer area are the same, and when the intelligent electric energy meter data with different voltage variation trends appear, rejecting the intelligent electric energy meter data; the certain time is preferably 15 s.
Further, it is preferable that the specific method of step S2 is:
if the edge side intelligent metering terminal receives the power failure data of the intelligent electric energy meters at the same time, the edge side intelligent metering terminal actively acquires corresponding branch line monitoring terminal information by combining a distribution room topological structure, and the information of the hung users in the subscriber line corresponding relation change table and the line relation table is utilized to determine power failure branch lines or power failure users.
Further, it is preferable that the certain time is 15 seconds; one period is 15 min; one end time is 5 min.
Further, in step S3, it is preferable that the specific method of comprehensive judgment is: and the metering automation master station compares the collected user power failure information with the planned power failure information and the line fault power failure information of the production management system, eliminates the power failure information at the same time, and screens out power utilization power failure events at different times from the planned power failure and the line fault power failure of the production management system as final user power failure information.
Further, in step S3, the obtained final user power outage information is preferably distributed to a marketing system or a power consumption information collection system for use.
The invention also provides a power failure event quasi-real-time monitoring system based on edge calculation, which comprises:
the edge side intelligent metering terminal is used for acquiring voltage data of the intelligent electric energy meter under the distribution room;
the under-platform intelligent electric energy meter judging module is used for analyzing the acquired voltage data and rejecting the intelligent electric energy meter data in the non-local platform area;
the first data processing module is used for receiving an active power failure reporting event of the intelligent electric energy meter, and acquiring voltage data of the intelligent electric energy meter in real time after data analysis; if the voltage data returned by the intelligent electric energy meter cannot be received in a short time or the voltage data is lower than a limit value, determining that a power failure event occurs;
the second data processing module is used for acquiring the data of the intelligent electric energy meter of the user in real time when the voltage data is not acquired in two continuous periods or the voltage data in the two continuous periods is lower than a limit value; if the voltage data returned by the intelligent electric energy meter cannot be received in a short time or the voltage data is lower than a limit value, determining that a power failure event occurs;
the real-time uploading module is used for uploading the power failure event of the user to the metering automation master station in real time;
and the metering automation master station is used for comprehensively judging according to the uploaded user power failure events by combining the planned power failure information and the line fault power failure information of the production management system to obtain the final user power failure information.
In the invention, the subscriber line corresponding relation change table and the line relation table are the existing information; the planned power failure information and the production management system are the existing systems;
compared with the prior art, the invention has the beneficial effects that:
the invention is based on the user power failure event acquisition and analysis of the edge side, mainly utilizes the power failure record and the operation data of the intelligent metering terminal and the intelligent electric energy meter of the edge side, combines the transformer, the line, the customer relationship and the like to comprehensively verify the power failure alarm data, and uploads the power failure alarm data to the metering automation master station if the power failure actually occurs on site. The metering automation master station combines planned power failure and line fault power failure of a production management system to perform multidimensional comprehensive analysis and judgment, so that the accuracy of power grid power failure identification is improved, and the requirements of dispatching power distribution network fault monitoring and rush repair, power supply quality reliability, distribution transformer fault monitoring and the like are met.
The traditional customer power failure event modeling technology is influenced by factors such as uncertain user relation, terminal performance quality, acquisition point communication quality, a power failure data complementary acquisition mechanism, a power failure event judgment rule and the like, related events are judged by a master station, and certain false alarm rate and missing report rate exist. The method for monitoring the power failure event in the quasi-real time based on the edge calculation can transfer the calculation task from the main station to the metering terminal equipment on the network edge side for execution, can improve the judgment efficiency and the real-time performance of the power failure event judgment, and reduces the false alarm rate and the missing report rate of the main station. While reducing the computational stress of the master station.
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 creative efforts.
FIG. 1 is a flow chart of a method for monitoring a power outage event in near real-time based on edge calculation according to the present invention;
FIG. 2 is a schematic diagram of a physical deployment of a platform area;
FIG. 3 is an architecture diagram of edge calculation;
FIG. 4 is a schematic diagram illustrating a specific flowchart of a method for monitoring a power outage event in a quasi-real-time manner based on edge calculation according to the present invention;
fig. 5 is a schematic structural diagram of a power outage event quasi-real-time monitoring system based on edge calculation according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples.
It will be appreciated by those skilled in the art that the following examples are illustrative of the invention only and should not be taken as limiting the scope of the invention. The examples do not specify particular techniques or conditions, and are performed according to the techniques or conditions described in the literature in the art or according to the product specifications. The materials or equipment used are not indicated by manufacturers, and all are conventional products available by purchase.
Example 1
The method for monitoring the power failure event in quasi-real time based on the edge calculation comprises the following steps:
step S1: data acquisition of the intelligent electric energy meter under the transformer area:
periodically acquiring voltage data of the intelligent electric energy meter under the distribution room according to time intervals, analyzing by using the acquired voltage data, and rejecting the intelligent electric energy meter data of the non-local distribution room
Step S2: intelligent identification of power outage branch lines or users:
the edge side intelligent metering terminal receives an active power failure reporting event of the intelligent electric energy meter in real time, and acquires voltage data of the intelligent electric energy meter in real time after data analysis; if the voltage data returned by the intelligent electric energy meter cannot be received within a certain time or the voltage data is lower than the limit value, the power failure of the household is judged;
if the active power failure reporting event of the intelligent electric energy meter is not received, judging the voltage data of the intelligent electric energy meter which is periodically collected; if the voltage data are not acquired in two continuous periods or the voltage data are lower than the limit value, continuously acquiring the data of the intelligent electric energy meter of the user for a period of time; if the voltage requirement is not met, determining a power failure event;
step S3: and (3) analyzing and comprehensively judging the alarm of the metering master station:
the edge side intelligent metering terminal uploads the collected user power failure events to the metering automation master station in real time; and the metering automation master station performs comprehensive judgment by combining planned power failure and line fault power failure of the production management system to obtain final user power failure information.
Example 2
The method for monitoring the power failure event in quasi-real time based on the edge calculation comprises the following steps:
step S1: data acquisition of the intelligent electric energy meter under the transformer area:
acquiring voltage data of the intelligent electric energy meter under the distribution room periodically according to time intervals, analyzing by using the acquired voltage data, and rejecting the intelligent electric energy meter data in the non-local distribution room;
step S2: intelligent identification of power outage branch lines or users:
the edge side intelligent metering terminal receives an active power failure reporting event of the intelligent electric energy meter in real time, and acquires voltage data of the intelligent electric energy meter in real time after data analysis; if the voltage data returned by the intelligent electric energy meter cannot be received within a certain time or the voltage data is lower than the limit value, the power failure of the household is judged;
if the active power failure reporting event of the intelligent electric energy meter is not received, judging the voltage data of the intelligent electric energy meter which is periodically collected; if the voltage data are not acquired in two continuous periods or the voltage data are lower than the limit value, continuously acquiring the data of the intelligent electric energy meter of the user for a period of time; if the voltage requirement is not met, determining a power failure event;
step S3: and (3) analyzing and comprehensively judging the alarm of the metering master station:
the edge side intelligent metering terminal uploads the collected user power failure events to the metering automation master station in real time; and the metering automation master station performs comprehensive judgment by combining planned power failure and line fault power failure of the production management system to obtain final user power failure information.
In step S1, the edge-side intelligent metering terminal is used to periodically collect voltage data of the intelligent electric energy meter under the distribution room. The specific method for eliminating the intelligent electric energy meter data in the non-local area by utilizing the spatiotemporal property of the voltage data comprises the following steps: and analyzing the voltage data collected by the intelligent electric energy meter in the transformer area in a certain time area, wherein the voltage variation trends in the same transformer area are the same, and when the intelligent electric energy meter data with different voltage variation trends appear, rejecting the voltage data. The certain time is preferably 15 s.
The specific method of step S2 is:
if the edge side intelligent metering terminal receives the power failure data of the intelligent electric energy meters at the same time, the edge side intelligent metering terminal actively acquires corresponding branch line monitoring terminal information by combining a distribution room topological structure, and the information of the hung users in the subscriber line corresponding relation change table and the line relation table is utilized to determine power failure branch lines or power failure users.
The certain time is 15 s; one period is 15 min; one end time is 5 min.
In step S3, the specific method of comprehensive judgment is: and the metering automation master station compares the collected user power failure information with the planned power failure information and the line fault power failure information of the production management system, eliminates the power failure information at the same time, and screens out power utilization power failure events at different times from the planned power failure and the line fault power failure of the production management system as final user power failure information. And issuing the obtained final power failure information of the user to a marketing system and a power utilization information acquisition system for use.
Example 3
The method for monitoring the power failure event in quasi-real time based on edge calculation is characterized by comprising the following steps:
step S1: data acquisition of the intelligent electric energy meter under the transformer area:
periodically acquiring voltage data of the intelligent electric energy meters under the transformer area according to time intervals, and rejecting the intelligent electric energy meter data of the non-transformer area by utilizing the spatiotemporal property of the voltage data;
(1) the edge side intelligent metering terminal periodically acquires intelligent voltage data under the transformer area;
(2) analyzing the voltage data acquired by the intelligent electric energy meter in the transformer area within a period of time (15 s) through the acquired voltage data, wherein the voltage change trends in the same transformer area should be the same;
(3) dynamically judging the electric energy meters in the distribution area, and eliminating the intelligent electric energy meter data in the non-local distribution area;
step S2: intelligent identification of power failure branch lines or users;
identifying a power failure branch line or a power failure user by combining electric energy meter data collected in the same area;
(1) the method comprises the steps that an edge side intelligent metering terminal receives an active power failure reporting event of an intelligent electric energy meter in real time, and voltage data of the intelligent electric energy meter are collected in real time after data analysis; if the voltage data returned by the intelligent electric energy meter cannot be received within 15s or the voltage data is lower than the limit value, judging that the household has power failure;
(2) if the active power failure reporting event of the intelligent electric energy meter is not received, judging the voltage data of the intelligent electric energy meter acquired periodically (every 15 min); if the voltage data are not acquired in two continuous periods (30 min) or the voltage data are lower than a limit value, acquiring the data of the intelligent electric energy meter of the user for 5min continuously; if the voltage requirement is not met, determining a power failure event;
(3) if the edge side intelligent metering terminal receives the power failure data of the intelligent electric energy meters at the same time, the terminal actively acquires corresponding branch line terminal information by combining a station area topological structure, and determines a power failure branch line or a power failure user by using information of the users hung in a subscriber line corresponding relation change table and a line relation table;
step S3: comprehensive judgment of alarm analysis of metering master station
(1) The edge side intelligent metering terminal uploads the collected user power failure events to the metering automation master station in real time;
(2) and the metering automation master station performs comprehensive judgment by combining planned power failure and line fault power failure of the production management system, obtains final user power failure information and distributes the final user power failure information to relevant service systems for use.
The comprehensive judgment means that the metering automation master station compares the collected user power failure information with the planned power failure information of the company and the line fault power failure information of the production management system, eliminates the power failure information at the same time, and screens out the power utilization power failure event at a different time from the planned power failure and the line fault power failure of the production management system
As shown in fig. 2, the physical deployment of the test point distribution room for the quasi-real-time monitoring research of the stop-and-repeat event based on the edge calculation is performed, and a terminal monitoring terminal (data collected by the invention includes data of the terminal monitoring terminal, the branch line monitoring terminal and the intelligent distribution transformer terminal) is installed near a data source so as to monitor the state of the meter box. And secondly, transmitting the acquired data to an edge node, and processing the data at the edge node. And then, transmitting the processed data to the previous stage, and so on. The system can monitor the power data of the whole transformer area and realize the power control of the whole transformer area.
Fig. 3 shows an architecture diagram of edge calculation. And the edge node acquires the data acquired by the intelligent electric energy meter, and performs data processing and fault analysis. And then, transmitting the processed result to an intermediate node for further management and alarm pushing. And finally, the information is transmitted to the metering automation master station layer by layer.
1. Data acquisition of intelligent electric energy meter under platform district
The voltage data of the intelligent electric energy meters under the transformer area are periodically collected according to time intervals, and the time-space property of the voltage data is utilized to eliminate the intelligent electric energy meter data of the non-transformer area.
(1) The edge side intelligent metering terminal periodically collects intelligent voltage data under the transformer area.
(2) And analyzing the voltage data acquired by the intelligent electric energy meter in the transformer area within a period of time through the acquired voltage data, wherein the voltage change trends in the same transformer area are the same.
(3) And dynamically judging the electric energy meters in the distribution area, and eliminating the intelligent electric energy meter data in the non-local distribution area.
2. Intelligent identification of power outage branch line or user
And identifying a power failure branch line or a power failure user by combining the data of the electric energy meters collected in the same area.
(1) The edge side intelligent metering terminal receives an active power failure reporting event of an intelligent electric energy meter in real time, and acquires voltage data of the intelligent electric energy meter in real time after data analysis. And if the voltage data returned by the intelligent electric energy meter cannot be received within 15s or the voltage data is lower than the limit value, judging that the house has power failure.
(2) And if the active power failure reporting event of the intelligent electric energy meter is not received, judging the voltage data of the intelligent electric energy meter acquired periodically (every 15 min). And if the voltage data are not acquired in two continuous periods (30 min) or the voltage data are lower than the limit value, acquiring the data of the intelligent electric energy meter of the user for 5min continuously. If the voltage requirement is not met, the power failure event is determined.
(3) If the edge side intelligent metering terminal receives the power failure data of the intelligent electric energy meters at the same time, the terminal actively acquires corresponding branch line terminal information by combining a station area topological structure, and the information of the hung users in the subscriber line corresponding relation change table and the line relation table is utilized to determine power failure branch lines or power failure users.
3. Comprehensive judgment of alarm analysis of metering master station
(1) And the edge side intelligent metering terminal uploads the collected user power failure events to the metering automation master station in real time.
(2) The metering automation master station performs comprehensive judgment by combining planned power failure and line fault power failure of the production management system (the comprehensive judgment means that the metering automation master station compares the collected user power failure information with company planned power failure information and line fault power failure information of the production management system, removes power failure information at the same time, screens power utilization power failure events at different times from planned power failure and line fault power failure of the production management system), obtains final user power failure information and distributes the final user power failure information to relevant business systems for use.
4. End up
The final overall model building implementation process is shown in fig. 1 and 4.
As shown in fig. 5, the system for monitoring the power failure event in near real time based on edge calculation includes:
the edge side intelligent metering terminal 101 is used for collecting voltage data of the intelligent electric energy meter under the distribution room;
the under-platform intelligent electric energy meter judging module 102 is used for analyzing the acquired voltage data and rejecting the intelligent electric energy meter data in the non-local platform area;
the first data processing module 103 is used for receiving an active power failure reporting event of the intelligent electric energy meter, and acquiring voltage data of the intelligent electric energy meter in real time after data analysis; if the voltage data returned by the intelligent electric energy meter cannot be received in a short time or the voltage data is lower than a limit value, determining that a power failure event occurs;
the second data processing module 104 is configured to acquire the data of the intelligent electric energy meter of the user in real time if the voltage data is not acquired in two consecutive periods, or the voltage data in two consecutive periods is lower than a limit value; if the voltage data returned by the intelligent electric energy meter cannot be received in a short time or the voltage data is lower than a limit value, determining that a power failure event occurs;
a real-time uploading module 105, configured to upload a user power failure event to the metering automation master station in real time;
and the metering automation master station 106 is used for comprehensively judging according to the uploaded user power failure events by combining the planned power failure information and the line fault power failure information of the production management system to obtain the final user power failure information.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. The method for monitoring the power failure event in quasi-real time based on edge calculation is characterized by comprising the following steps:
step S1: data acquisition of the intelligent electric energy meter under the transformer area:
acquiring voltage data of the intelligent electric energy meter under the distribution room periodically according to time intervals, analyzing by using the acquired voltage data, and rejecting the intelligent electric energy meter data in the non-local distribution room;
step S2: intelligent identification of power outage branch lines or users:
the edge side intelligent metering terminal receives an active power failure reporting event of the intelligent electric energy meter in real time, and acquires voltage data of the intelligent electric energy meter in real time after data analysis; if the voltage data returned by the intelligent electric energy meter cannot be received within a certain time or the voltage data is lower than the limit value, the power failure of the household is judged;
if the active power failure reporting event of the intelligent electric energy meter is not received, judging the voltage data of the intelligent electric energy meter which is periodically collected; if the voltage data are not acquired in two continuous periods or the voltage data are lower than the limit value, continuously acquiring the data of the intelligent electric energy meter of the user for a period of time; if the voltage requirement is not met, determining a power failure event;
step S3: and (3) analyzing and comprehensively judging the alarm of the metering master station:
the edge side intelligent metering terminal uploads the collected user power failure events to the metering automation master station in real time; and the metering automation master station performs comprehensive judgment by combining planned power failure and line fault power failure of the production management system to obtain final user power failure information.
2. The method of claim 1, wherein the method comprises: in step S1, the edge-side intelligent metering terminal is used to periodically collect voltage data of the intelligent electric energy meter under the distribution room.
3. The method of claim 1, wherein the method comprises: in step S1, the specific method for eliminating the intelligent electric energy meter data in the non-local area by using the spatiotemporal property of the voltage data is as follows: and analyzing the voltage data collected by the intelligent electric energy meter in the transformer area in a certain time area, wherein the voltage variation trends in the same transformer area are the same, and when the intelligent electric energy meter data with different voltage variation trends appear, rejecting the voltage data.
4. The method of claim 1, wherein the method comprises: the specific method of step S2 is:
if the edge side intelligent metering terminal receives the power failure data of the intelligent electric energy meters at the same time, the edge side intelligent metering terminal actively acquires corresponding branch line monitoring terminal information by combining a distribution room topological structure, and the information of the hung users in the subscriber line corresponding relation change table and the line relation table is utilized to determine power failure branch lines or power failure users.
5. The method of claim 4, wherein the method comprises: the certain time is 15 s; one period is 15 min; one end time is 5 min.
6. The method of claim 1, wherein the method comprises: in step S3, the specific method of comprehensive judgment is: and the metering automation master station compares the collected user power failure information with the planned power failure information and the line fault power failure information of the production management system, eliminates the power failure information at the same time, and screens out power utilization power failure events at different times from the planned power failure and the line fault power failure of the production management system as final user power failure information.
7. The method of claim 1, wherein the method comprises: in step S3, the obtained final power failure information of the user is issued to a marketing system and a power consumption information collection system for use.
8. Power failure incident quasi real-time monitoring system based on edge calculation, its characterized in that includes:
the edge side intelligent metering terminal is used for acquiring voltage data of the intelligent electric energy meter under the distribution room;
the under-platform intelligent electric energy meter judging module is used for analyzing the acquired voltage data and rejecting the intelligent electric energy meter data in the non-local platform area;
the first data processing module is used for receiving an active power failure reporting event of the intelligent electric energy meter, and acquiring voltage data of the intelligent electric energy meter in real time after data analysis; if the voltage data returned by the intelligent electric energy meter cannot be received in a short time or the voltage data is lower than a limit value, determining that a power failure event occurs;
the second data processing module is used for acquiring the data of the intelligent electric energy meter of the user in real time when the voltage data is not acquired in two continuous periods or the voltage data in the two continuous periods is lower than a limit value; if the voltage data returned by the intelligent electric energy meter cannot be received in a short time or the voltage data is lower than a limit value, determining that a power failure event occurs;
the real-time uploading module is used for uploading the power failure event of the user to the metering automation master station in real time;
and the metering automation master station is used for comprehensively judging according to the uploaded user power failure events by combining the planned power failure information and the line fault power failure information of the production management system to obtain the final user power failure information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111204368.6A CN114062801A (en) | 2021-10-15 | 2021-10-15 | Power failure event quasi-real-time monitoring method and system based on edge calculation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111204368.6A CN114062801A (en) | 2021-10-15 | 2021-10-15 | Power failure event quasi-real-time monitoring method and system based on edge calculation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114062801A true CN114062801A (en) | 2022-02-18 |
Family
ID=80234750
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111204368.6A Pending CN114062801A (en) | 2021-10-15 | 2021-10-15 | Power failure event quasi-real-time monitoring method and system based on edge calculation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114062801A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114722340A (en) * | 2022-04-19 | 2022-07-08 | 国网四川省电力公司电力科学研究院 | Power distribution network power failure range analysis method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109995145A (en) * | 2019-05-15 | 2019-07-09 | 国网湖北省电力有限公司电力科学研究院 | A kind of low-voltage network failure active analysis method based on intelligent distribution transformer terminals |
| CN110350663A (en) * | 2019-07-26 | 2019-10-18 | 国网四川省电力公司广元供电公司 | Low pressure family table power-off fault alarm device and method based on edge calculations |
| CN210166487U (en) * | 2019-06-27 | 2020-03-20 | 四川中电启明星信息技术有限公司 | Power supply station area power failure fault warning device based on edge calculation |
| US20200409347A1 (en) * | 2019-06-25 | 2020-12-31 | Reactive Technologies Limited | System for determining electric parameters of an electric power grid |
-
2021
- 2021-10-15 CN CN202111204368.6A patent/CN114062801A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109995145A (en) * | 2019-05-15 | 2019-07-09 | 国网湖北省电力有限公司电力科学研究院 | A kind of low-voltage network failure active analysis method based on intelligent distribution transformer terminals |
| US20200409347A1 (en) * | 2019-06-25 | 2020-12-31 | Reactive Technologies Limited | System for determining electric parameters of an electric power grid |
| CN210166487U (en) * | 2019-06-27 | 2020-03-20 | 四川中电启明星信息技术有限公司 | Power supply station area power failure fault warning device based on edge calculation |
| CN110350663A (en) * | 2019-07-26 | 2019-10-18 | 国网四川省电力公司广元供电公司 | Low pressure family table power-off fault alarm device and method based on edge calculations |
Non-Patent Citations (2)
| Title |
|---|
| 徐湛: ""基于边缘侧的客户停电事件判断技术研究"" * |
| 徐湛;: "基于边缘侧的客户停电事件判断技术研究" * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114722340A (en) * | 2022-04-19 | 2022-07-08 | 国网四川省电力公司电力科学研究院 | Power distribution network power failure range analysis method |
| CN114722340B (en) * | 2022-04-19 | 2023-04-25 | 国网四川省电力公司电力科学研究院 | Power distribution network power outage range analysis method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110350528B (en) | Low-voltage distribution area topology automatic identification method | |
| CN111077870A (en) | Intelligent OPC data real-time acquisition and monitoring system and method based on stream calculation | |
| US7930070B2 (en) | System, method, and module capable of curtailing energy production within congestive grid operating environments | |
| CN109669406A (en) | A kind of remote online monitoring system and its workflow of industrial equipment | |
| CN109633321B (en) | Transformer area household variable relation distinguishing system and method and transformer area high loss monitoring method | |
| CN103346615B (en) | Based on plant stand end centralized control method and the device of intelligent telecontrol | |
| CN103559562A (en) | Power grid intelligent operation system and achieving method thereof | |
| CN106357414B (en) | Information interacting method and system for base station electric generation management | |
| CN108647328B (en) | Reliability power failure event acquisition integrity analysis and automatic completion method | |
| CN204288281U (en) | Industrial enterprise's electric energy management system | |
| CN110086260B (en) | Intelligent sensing management and control device for power distribution network | |
| CN111160791A (en) | Abnormal user identification method based on GBDT algorithm and factor fusion | |
| CN107968405A (en) | A kind of unplanned blackouts monitoring method of distribution based on battalion's auxiliary tone perforation | |
| CN103513167A (en) | Switch partial discharge condition monitoring device based on distributed network platforms | |
| CN107341609B (en) | Energy efficiency management system and method based on cloud platform | |
| CN202907195U (en) | Communication base station energy consumption management system | |
| CN106168766A (en) | The energy monitor management system of a kind of Smart Home and carbon assets management method | |
| CN113762911A (en) | Manufacturing method of comprehensive energy service platform based on distributed architecture | |
| CN112615428A (en) | Line loss analysis and treatment system and method | |
| CN112907034A (en) | Partition measurement leakage monitoring management system based on Internet of things and machine learning | |
| CN114062801A (en) | Power failure event quasi-real-time monitoring method and system based on edge calculation | |
| CN113269435B (en) | New energy station running state coupling monitoring and evaluating system | |
| CN109581115B (en) | Power distribution network low-voltage diagnosis system and diagnosis method | |
| CN113050573B (en) | Production rhythm-based energy-saving method for air compressor | |
| CN113064399A (en) | Industrial monitoring software prediction maintenance system based on big data distributed programming framework |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220218 |