CN112816934A - Method and system for judging error self-monitoring accuracy and timeliness of electric energy meter - Google Patents
Method and system for judging error self-monitoring accuracy and timeliness of electric energy meter Download PDFInfo
- Publication number
- CN112816934A CN112816934A CN202110224302.7A CN202110224302A CN112816934A CN 112816934 A CN112816934 A CN 112816934A CN 202110224302 A CN202110224302 A CN 202110224302A CN 112816934 A CN112816934 A CN 112816934A
- Authority
- CN
- China
- Prior art keywords
- electric energy
- energy meter
- tolerance
- self
- monitoring
- 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.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Current Or Voltage (AREA)
Abstract
The application relates to the field of electric energy meter testing, and provides a method and a system for judging self-monitoring accuracy and timeliness of an electric energy meter, wherein the method and the system calibrate the precision of a metering loop of the electric energy meter and acquire out-of-tolerance self-monitoring data of an out-of-tolerance module; the upper computer inputs fault instructions for multiple times, and the electric energy meter metering loop generates corresponding multiple faults according to the fault instructions input for multiple times; acquiring experimental out-of-tolerance self-monitoring data of an upper computer, and judging the accuracy of a metering loop of the electric energy meter according to the total times M of out-of-tolerance events and the total times M1 of experimental out-of-tolerance events; judging the timeliness of a metering loop of the electric energy meter according to the out-of-tolerance reaction time T and the experimental out-of-tolerance reaction time T2; the application aims to provide a method and a system for judging self-monitoring accuracy and timeliness of an electric energy meter.
Description
Technical Field
The application relates to the field of electric energy meter testing, in particular to a method and a system for judging self-monitoring accuracy and timeliness of electric energy meter errors.
Background
The electric energy is a main energy of modern equipment, is closely related to industrial production and daily life of residents, and the electric energy meter is a key device for connecting a power supply company and an electric power user and is used for recording the actual power consumption of the electric power user, and the metering accuracy of the electric energy meter is related to the economic benefits of both the power supply company and the user. During the operation of the electric energy meter in a network hanging mode, if a resistor, a capacitor, a sampling circuit and the like are in fault, the phenomenon that the metering error of the electric energy meter is out of tolerance can be caused. However, the conventional electric energy meter does not have the function of error self-monitoring, and the error is too poor to be found in time, so that the recorded data of the electric energy meter is inaccurate.
In order to solve the above problems, in the prior art, an intelligent electric energy meter with a metering chip with error monitoring function is provided. The electric energy meter monitoring system comprises an electric energy meter metering loop and an out-of-tolerance detection module, wherein the electric energy meter metering loop is used for recording actual electricity consumption, and the out-of-tolerance detection module is used for judging whether the electric energy meter metering loop is out of tolerance or not. In order to promote the new generation of intelligent electric meters, the monitoring effect of the out-of-tolerance monitoring module needs to be verified, namely the accuracy and timeliness of the error self-monitoring data of the out-of-tolerance monitoring module are judged.
In summary, how to provide a determination method for determining whether the error self-monitoring function of the electric energy meter has accuracy and effectiveness is an urgent problem to be solved by those skilled in the art.
Disclosure of Invention
The application provides a method and a system for judging the error self-monitoring accuracy and timeliness of an electric energy meter, and aims to judge whether the error self-monitoring function of the electric energy meter has accuracy and effectiveness.
The first aspect of the present application provides a method for determining self-monitoring accuracy and timeliness of errors of an electric energy meter, where the method includes:
and calibrating the precision of the metering loop of the electric energy meter.
Acquiring out-of-tolerance self-monitoring data of an out-of-tolerance module, wherein the out-of-tolerance self-monitoring data is as follows: error data update time interval T1, self-monitoring error overrun determination threshold, self-monitoring error overrun determination number N, and total number of overrun events M.
And updating a time interval T1 and the overrun judgment value N according to the error data to obtain the overrun event reaction time T for 1 time.
And the upper computer inputs fault instructions for multiple times, and the electric energy meter metering loop generates corresponding multiple faults according to the fault instructions input for multiple times.
Acquiring experimental out-of-tolerance self-monitoring data of an upper computer, wherein the experimental out-of-tolerance self-monitoring data is as follows: total number of experimental out-of-tolerance events M1, experimental out-of-tolerance reaction time T2.
And judging the accuracy of the metering loop of the electric energy meter according to the total times M of the out-of-tolerance events and the total times M1 of the experimental out-of-tolerance events.
And judging the timeliness of the metering loop of the electric energy meter according to the out-of-tolerance reaction time T and the experimental out-of-tolerance reaction time T2.
Optionally, the out-of-tolerance event reaction time T is obtained by the following model:
T＝T1×N。
optionally, the fault specifically includes: the resistance value of a voltage sampling loop in the electric energy meter metering loop is changed, the capacitance value of the voltage sampling loop in the electric energy meter metering loop is changed, the resistance value and the capacitance value of the voltage sampling loop in the electric energy meter metering loop are changed, the resistance value of a current sampling loop in the electric energy meter metering loop is changed, the capacitance value of the current sampling loop in the electric energy meter metering loop is changed, the resistance value and the capacitance value of the current sampling loop in the electric energy meter metering loop are changed, or the resistance value and the capacitance value of the voltage sampling loop and the current sampling loop in the electric energy meter metering loop are changed.
Optionally, the experimental out-of-tolerance reaction time T2 is: the input fault corresponds to a response time of an out-of-tolerance event.
Optionally, the accuracy determination process includes: if M1-M is equal to 1, judging that the error self-monitoring of the electric energy meter is accurate; and if the M1-M is less than 1 or the M1-M is more than 1, judging that the error self-monitoring of the electric energy meter is inaccurate.
Optionally, the determining process of the timeliness is as follows: if T2 is larger than T, the error self-monitoring of the electric energy meter is judged to be out of time, and if T2 is smaller than or equal to T, the error self-monitoring of the electric energy meter is judged to be in time.
This application second aspect provides a system for judging electric energy meter error self-monitoring accuracy and timeliness, the system includes: the device comprises an original data module, an experiment module and a judgment module.
The original data module is used for calibrating the precision of the metering loop of the electric energy meter, acquiring the out-of-tolerance self-monitoring data of the out-of-tolerance module, and updating the time interval T1 and the self-monitoring error out-of-limit judgment times N according to the error data to obtain the 1-time out-of-tolerance event reaction time T.
The experimental module is used for inputting fault instructions for a plurality of times by the upper computer, the electric energy meter metering circuit generates corresponding faults for a plurality of times according to the fault instructions input for a plurality of times, and obtains experimental out-of-tolerance self-monitoring data of the upper computer, wherein the experimental out-of-tolerance self-monitoring data is as follows: total number of experimental out-of-tolerance events M1, experimental out-of-tolerance reaction time T2.
The judging module is used for judging the accuracy of the metering loop of the electric energy meter according to the total times M of the out-of-tolerance events and the total times M1 of the experimental out-of-tolerance events; and judging the timeliness of the metering loop of the electric energy meter according to the out-of-tolerance reaction time T and the experimental out-of-tolerance reaction time T2.
According to the technical scheme, the method and the system for judging the error self-monitoring accuracy and timeliness of the electric energy meter simulate the electric energy meter which is aged and failed by changing the resistance value and the capacitance value in the metering loop of the electric energy meter, so that the metering loop of the electric energy meter is out of tolerance, experimental out-of-tolerance self-detection data of the electric energy meter are obtained through an upper computer, and finally the experimental out-of-tolerance self-detection data and the out-of-tolerance self-monitoring data are compared to obtain the error self-monitoring accuracy and timeliness of the electric energy meter. The method and the device realize the self-monitoring accuracy and timeliness of the error of the electric energy meter, and provide an efficient judgment method for self-detection of the error of the electric energy meter.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining self-monitoring accuracy and timeliness of an error of an electric energy meter according to an embodiment of the present disclosure.
Fig. 2 is a basic architecture diagram of a system for determining self-monitoring accuracy and timeliness of errors of an electric energy meter according to an embodiment of the present disclosure.
Detailed Description
The following describes in detail specific embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all 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 application.
Referring to fig. 1, a flowchart of a method for determining self-monitoring accuracy and timeliness of an error of an electric energy meter according to an embodiment of the present disclosure is provided.
The first aspect of the application provides a method for judging the error self-monitoring accuracy and timeliness of an electric energy meter, and the method for judging the error self-monitoring accuracy and timeliness of the electric energy meter comprises the following steps:
and S101, calibrating the precision of a metering loop of the electric energy meter.
Before the upper computer inputs a fault instruction, the metering loop of the electric energy meter is calibrated, and the out-of-tolerance generated by the metering loop is ensured to be caused by the fault instruction, so that the fault factor of the metering loop is eliminated.
S102, acquiring out-of-tolerance self-monitoring data of an out-of-tolerance module, wherein the out-of-tolerance self-monitoring data is as follows: error data update time interval T1, self-monitoring error overrun determination threshold, self-monitoring error overrun determination number N, and total number of overrun events M.
The out-of-tolerance self-monitoring data of the out-of-tolerance module is historical data of the electric energy meter, and the electric energy meter generates out-of-tolerance monitoring data before the fault instruction is input. Defining as 1 accidental error when the error value exceeds the self-monitoring error over-limit determination threshold; and when the continuous generation times of the accidental errors exceed the over-self-monitoring error over-limit judgment time N, defining the accidental errors as 1 over-error event.
And S103, updating a time interval T1 and the self-monitoring error overrun judgment times N according to the error data to obtain the out-of-tolerance event reaction time T for 1 time.
The error data update time interval T1 is the reaction time of 1 accidental error and the out-of-tolerance event reaction time is the sum of the reaction times of N accidental errors.
Wherein the out-of-tolerance event reaction time T is obtained by the following model:
T＝T1×N。
and S104, inputting fault instructions for multiple times by the upper computer, and generating corresponding multiple faults by the electric energy meter metering loop according to the fault instructions input for multiple times.
Wherein the fault is specifically: the resistance value of a voltage sampling loop in the electric energy meter metering loop is changed, the capacitance value of the voltage sampling loop in the electric energy meter metering loop is changed, the resistance value and the capacitance value of the voltage sampling loop in the electric energy meter metering loop are changed, the resistance value of a current sampling loop in the electric energy meter metering loop is changed, the capacitance value of the current sampling loop in the electric energy meter metering loop is changed, the resistance value and the capacitance value of the current sampling loop in the electric energy meter metering loop are changed, or the resistance value and the capacitance value of the voltage sampling loop and the current sampling loop in the electric energy meter metering loop are changed.
In addition, before the fault instruction is input every time, the previous fault is removed, and the precision of the metering loop of the electric energy meter is calibrated.
S105, acquiring experimental out-of-tolerance self-monitoring data of the upper computer, wherein the experimental out-of-tolerance self-monitoring data is as follows: total number of experimental out-of-tolerance events M1, experimental out-of-tolerance reaction time T2.
Wherein the experimental out-of-tolerance reaction time T2 is: the input fault corresponds to a response time of an out-of-tolerance event.
And S106, judging the accuracy of the metering loop of the electric energy meter according to the total times M of the out-of-tolerance events and the total times M1 of the experimental out-of-tolerance events.
Wherein the accuracy determination process comprises the following steps: if M1-M is equal to 1, judging that the error self-monitoring of the electric energy meter is accurate; and if the M1-M is less than 1 or the M1-M is more than 1, judging that the error self-monitoring of the electric energy meter is inaccurate.
And S107, judging the timeliness of the metering loop of the electric energy meter according to the out-of-tolerance reaction time T and the experimental out-of-tolerance reaction time T2.
Wherein, the judgment process of the timeliness is as follows: if T2 is larger than T, the error self-monitoring of the electric energy meter is judged to be out of time, and if T2 is smaller than or equal to T, the error self-monitoring of the electric energy meter is judged to be in time.
According to the technical scheme, the method for judging the self-monitoring accuracy and the timeliness of the errors of the electric energy meter comprises the steps that the faults in the aged electric energy meter are simulated, the metering loop is out of tolerance, the upper computer monitors the generation of out-of-tolerance events, experimental out-of-tolerance self-monitoring data of the electric energy meter are obtained, the experimental out-of-tolerance self-monitoring data are compared with historical out-of-tolerance self-monitoring data of the electric energy meter, and the self-monitoring accuracy and the self-monitoring timeliness of the errors of the electric energy meter are judged according to the result of data comparison.
The following are embodiments of the system of the present application for performing embodiments of the method of the present application. For details which are not disclosed in the embodiments of the system of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 2, a basic architecture diagram of a system for determining self-monitoring accuracy and timeliness of errors of an electric energy meter according to an embodiment of the present application is shown.
A second aspect of the embodiments of the present application provides a system for determining self-monitoring accuracy and timeliness of an error of an electric energy meter, where the system includes: the device comprises an original data module, an experiment module and a judgment module.
The original data module is used for calibrating the precision of the metering loop of the electric energy meter, acquiring the out-of-tolerance self-monitoring data of the out-of-tolerance module, and updating the time interval T1 and the self-monitoring error out-of-limit judgment times N according to the error data to obtain the 1-time out-of-tolerance event reaction time T.
The experimental module is used for inputting fault instructions for a plurality of times by the upper computer, the electric energy meter metering circuit generates corresponding faults for a plurality of times according to the fault instructions input for a plurality of times, and obtains experimental out-of-tolerance self-monitoring data of the upper computer, wherein the experimental out-of-tolerance self-monitoring data is as follows: total number of experimental out-of-tolerance events M1, experimental out-of-tolerance reaction time T2.
The judging module is used for judging the accuracy of the metering loop of the electric energy meter according to the total times M of the out-of-tolerance events and the total times M1 of the experimental out-of-tolerance events, and judging the timeliness of the metering loop of the electric energy meter according to the out-of-tolerance reaction time T and the experimental out-of-tolerance reaction time T2.
In the actual application process, the out-of-tolerance self-monitoring data in the original data module is transmitted to the judging module, the experimental out-of-tolerance self-monitoring data in the experimental module is transmitted to the judging module, and the judging module compares the total number of out-of-tolerance events and the out-of-tolerance reaction time before a fault instruction is input with the total number of experimental out-of-tolerance events and the experimental out-of-tolerance reaction time after the fault instruction is input to judge the out-of-tolerance self-monitoring punctuality and timeliness of the electric energy meter after the fault instruction is input after the out-of-tolerance self-monitoring data and the experimental out-of-tolerance self-monitoring data are received.
According to the technical scheme, the method and the system for judging the error self-monitoring accuracy and timeliness of the electric energy meter simulate the electric energy meter which is aged and failed by changing the resistance value and the capacitance value in the metering loop of the electric energy meter, so that the metering loop of the electric energy meter is out of tolerance, experimental out-of-tolerance self-detection data of the electric energy meter are obtained through an upper computer, and finally the experimental out-of-tolerance self-detection data and the out-of-tolerance self-monitoring data are compared to obtain the error self-monitoring accuracy and timeliness of the electric energy meter. The method and the device realize the self-monitoring accuracy and timeliness of the error of the electric energy meter, and provide an efficient judgment method for self-detection of the error of the electric energy meter.
The present application has been described in detail with reference to specific embodiments and illustrative examples, but the description is not intended to limit the application. Those skilled in the art will appreciate that various equivalent substitutions, modifications or improvements may be made to the presently disclosed embodiments and implementations thereof without departing from the spirit and scope of the present disclosure, and these fall within the scope of the present disclosure. The protection scope of this application is subject to the appended claims.
Claims (7)
1. A method for judging the error self-monitoring accuracy and timeliness of an electric energy meter is characterized by comprising the following steps of:
calibrating the precision of a metering loop of the electric energy meter;
acquiring out-of-tolerance self-monitoring data of an out-of-tolerance module, wherein the out-of-tolerance self-monitoring data is as follows: the error data updating time interval T1, the self-monitoring error overrun judgment threshold, the self-monitoring error overrun judgment times N and the total overrun event times M;
updating a time interval T1 and the overrun judgment value N according to the error data to obtain the reaction time T of the overrun event for 1 time;
the upper computer inputs fault instructions for multiple times, and the electric energy meter metering loop generates corresponding multiple faults according to the fault instructions input for multiple times;
acquiring experimental out-of-tolerance self-monitoring data of an upper computer, wherein the experimental out-of-tolerance self-monitoring data is as follows: the total times of experimental out-of-tolerance events M1 and the experimental out-of-tolerance reaction time T2;
judging the accuracy of a metering loop of the electric energy meter according to the total times M of the out-of-tolerance events and the total times M1 of the experimental out-of-tolerance events;
and judging the timeliness of the metering loop of the electric energy meter according to the out-of-tolerance reaction time T and the experimental out-of-tolerance reaction time T2.
2. The method for determining the self-monitoring accuracy and timeliness of the error of the electric energy meter according to claim 1, wherein the out-of-tolerance event reaction time T is obtained by the following model:
T＝T1×N。
3. the method for judging the error self-monitoring accuracy and timeliness of the electric energy meter according to claim 1, wherein the fault is specifically: the resistance value of a voltage sampling loop in the electric energy meter metering loop is changed, the capacitance value of the voltage sampling loop in the electric energy meter metering loop is changed, the resistance value and the capacitance value of the voltage sampling loop in the electric energy meter metering loop are changed, the resistance value of a current sampling loop in the electric energy meter metering loop is changed, the capacitance value of the current sampling loop in the electric energy meter metering loop is changed, the resistance value and the capacitance value of the current sampling loop in the electric energy meter metering loop are changed, or the resistance value and the capacitance value of the voltage sampling loop and the current sampling loop in the electric energy meter metering loop are changed.
4. The method for judging the error self-monitoring accuracy and timeliness of the electric energy meter according to claim 1, wherein the experimental out-of-tolerance reaction time T2 is: the input fault corresponds to a response time of an out-of-tolerance event.
5. The method for judging the error self-monitoring accuracy and timeliness of the electric energy meter according to claim 1, wherein the accuracy judgment process is as follows: if M1-M is equal to 1, judging that the error self-monitoring of the electric energy meter is accurate; and if the M1-M is less than 1 or the M1-M is more than 1, judging that the error self-monitoring of the electric energy meter is inaccurate.
6. The method for judging the error self-monitoring accuracy and timeliness of the electric energy meter according to claim 1, wherein the timeliness judging process is as follows: if T2 is larger than T, the error self-monitoring of the electric energy meter is judged to be out of time, and if T2 is smaller than or equal to T, the error self-monitoring of the electric energy meter is judged to be in time.
7. A system for determining self-monitoring accuracy and timeliness of electric energy meter errors, wherein the system for determining self-monitoring accuracy and timeliness of electric energy meter errors is used for executing the method for determining self-monitoring accuracy and timeliness of electric energy meter errors of claims 1-6, and comprises: the device comprises an original data module, an experiment module and a judgment module;
the original data module is used for calibrating the precision of the metering loop of the electric energy meter, acquiring out-of-tolerance self-monitoring data of the out-of-tolerance module, and updating a time interval T1 and the self-monitoring error out-of-limit judgment times N according to error data to obtain 1-time out-of-tolerance event reaction time T;
the experimental module is used for inputting fault instructions for a plurality of times by the upper computer, the electric energy meter metering circuit generates corresponding faults for a plurality of times according to the fault instructions input for a plurality of times, and obtains experimental out-of-tolerance self-monitoring data of the upper computer, wherein the experimental out-of-tolerance self-monitoring data is as follows: the total times of experimental out-of-tolerance events M1 and the experimental out-of-tolerance reaction time T2;
the judging module is used for judging the accuracy of the metering loop of the electric energy meter according to the total times M of the out-of-tolerance events and the total times M1 of the experimental out-of-tolerance events, and judging the timeliness of the metering loop of the electric energy meter according to the out-of-tolerance reaction time T and the experimental out-of-tolerance reaction time T2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110224302.7A CN112816934A (en) | 2021-03-01 | 2021-03-01 | Method and system for judging error self-monitoring accuracy and timeliness of electric energy meter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110224302.7A CN112816934A (en) | 2021-03-01 | 2021-03-01 | Method and system for judging error self-monitoring accuracy and timeliness of electric energy meter |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112816934A true CN112816934A (en) | 2021-05-18 |
Family
ID=75862497
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110224302.7A Withdrawn CN112816934A (en) | 2021-03-01 | 2021-03-01 | Method and system for judging error self-monitoring accuracy and timeliness of electric energy meter |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112816934A (en) |
Citations (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE2708075A1 (en) * | 1977-02-22 | 1978-08-24 | Heliowatt Werke | PROCEDURE FOR ELECTRONIC KILOWATT-HOUR METERS |
| JPH0898391A (en) * | 1994-09-27 | 1996-04-12 | Meidensha Corp | Digital protective relay |
| EP0756177A2 (en) * | 1995-07-22 | 1997-01-29 | Industrie-Technik Fröschl GmbH | Appliance for measuring electrical energy |
| JP2000222445A (en) * | 1999-01-27 | 2000-08-11 | Nec Corp | Method and device for simulating fault, and storage medium recording fault simulation program |
| US20030011353A1 (en) * | 2001-07-06 | 2003-01-16 | Whitehead David E. | System and method for calibration of data in an electric power monitoring system |
| JP2003125532A (en) * | 2001-10-12 | 2003-04-25 | Kawamura Electric Inc | Tracking breaker |
| JP2010154620A (en) * | 2008-12-24 | 2010-07-08 | Toshiba Corp | Protective relay, control method and control program of the same |
| CN104347258A (en) * | 2013-07-29 | 2015-02-11 | 北京瑞恒超高压电器研究所(普通合伙) | Insulated and error self-inspecting type full-intelligent current transformer |
| CH708761A2 (en) * | 2015-03-03 | 2015-04-30 | Tecpharma Licensing Ag | Measuring bridge arrangement with improved fault detection. |
| CN204945358U (en) * | 2015-08-06 | 2016-01-06 | 云南电网有限责任公司电力科学研究院 | A kind of various dimensions information monitoring instrument for current mutual inductor on site verification |
| CN106772196A (en) * | 2017-01-05 | 2017-05-31 | 云南电网有限责任公司电力科学研究院 | A kind of electric energy metrical standard set-up on-line monitoring method |
| CN107818395A (en) * | 2017-09-05 | 2018-03-20 | 天津市电力科技发展有限公司 | A kind of electric energy meter error iterative calculation method based on uncertainty of measurement |
| CN107831465A (en) * | 2017-10-31 | 2018-03-23 | 国网黑龙江省电力有限公司电力科学研究院 | A kind of intelligent electric energy meter fault judgment method based on BP neural network |
| CN207318702U (en) * | 2017-11-13 | 2018-05-04 | 广西电网有限责任公司南宁供电局 | Possesses the electric energy meter calibrating apparatus for carrying out fault diagnosis and analysis |
| CN108445435A (en) * | 2018-02-05 | 2018-08-24 | 国电南瑞科技股份有限公司 | A kind of electric energy meter calibrating apparatus error online evaluation method |
| CN110174636A (en) * | 2019-07-09 | 2019-08-27 | 郑州万特电气股份有限公司 | A kind of detection method, system and the read/write memory medium of electric energy meter period switching |
| CN110398710A (en) * | 2019-07-30 | 2019-11-01 | 中国电力科学研究院有限公司 | A kind of electric energy gauging method and system based on error self diagnosis |
| CN110850357A (en) * | 2019-11-27 | 2020-02-28 | 广东电网有限责任公司 | Remote comprehensive processing system and method for electric energy metering device |
| CN111077491A (en) * | 2019-11-20 | 2020-04-28 | 国网浙江宁波市鄞州区供电有限公司 | Error self-diagnosis processing method for single-phase electric energy meter |
| CN111413660A (en) * | 2020-04-29 | 2020-07-14 | 云南电网有限责任公司电力科学研究院 | Method and system for testing error self-detection function of electric energy meter |
| CN111505562A (en) * | 2020-04-29 | 2020-08-07 | 内蒙古电力(集团)有限责任公司 | Test system for metering performance self-monitoring capability of electric energy meter |
| CN111521966A (en) * | 2020-05-18 | 2020-08-11 | 深圳市瀚邦为电子材料有限公司 | Method and device for monitoring time out-of-tolerance of district electric meter, monitoring terminal and storage medium |
| CN111693928A (en) * | 2020-06-22 | 2020-09-22 | 广东电网有限责任公司计量中心 | Electric energy meter metering error calculation method and device and computer equipment |
| CN111948596A (en) * | 2020-08-24 | 2020-11-17 | 国网四川省电力公司电力科学研究院 | Online detection method and system for errors of power meter in transformer area based on multiple time scales |
| CN111965587A (en) * | 2020-08-26 | 2020-11-20 | 安徽南瑞中天电力电子有限公司 | Automatic test method and automatic test platform for stability of electric energy meter |
| CN112034412A (en) * | 2020-07-20 | 2020-12-04 | 中国电力科学研究院有限公司 | Intelligent electric energy meter misalignment analysis method and system based on intelligent isolating switch |
| CN112068068A (en) * | 2020-09-28 | 2020-12-11 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Error out-of-tolerance automatic detection system for electric energy meter in transformer area |
-
2021
- 2021-03-01 CN CN202110224302.7A patent/CN112816934A/en not_active Withdrawn
Patent Citations (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE2708075A1 (en) * | 1977-02-22 | 1978-08-24 | Heliowatt Werke | PROCEDURE FOR ELECTRONIC KILOWATT-HOUR METERS |
| JPH0898391A (en) * | 1994-09-27 | 1996-04-12 | Meidensha Corp | Digital protective relay |
| EP0756177A2 (en) * | 1995-07-22 | 1997-01-29 | Industrie-Technik Fröschl GmbH | Appliance for measuring electrical energy |
| JP2000222445A (en) * | 1999-01-27 | 2000-08-11 | Nec Corp | Method and device for simulating fault, and storage medium recording fault simulation program |
| US20030011353A1 (en) * | 2001-07-06 | 2003-01-16 | Whitehead David E. | System and method for calibration of data in an electric power monitoring system |
| JP2003125532A (en) * | 2001-10-12 | 2003-04-25 | Kawamura Electric Inc | Tracking breaker |
| JP2010154620A (en) * | 2008-12-24 | 2010-07-08 | Toshiba Corp | Protective relay, control method and control program of the same |
| CN104347258A (en) * | 2013-07-29 | 2015-02-11 | 北京瑞恒超高压电器研究所(普通合伙) | Insulated and error self-inspecting type full-intelligent current transformer |
| CH708761A2 (en) * | 2015-03-03 | 2015-04-30 | Tecpharma Licensing Ag | Measuring bridge arrangement with improved fault detection. |
| CN204945358U (en) * | 2015-08-06 | 2016-01-06 | 云南电网有限责任公司电力科学研究院 | A kind of various dimensions information monitoring instrument for current mutual inductor on site verification |
| CN106772196A (en) * | 2017-01-05 | 2017-05-31 | 云南电网有限责任公司电力科学研究院 | A kind of electric energy metrical standard set-up on-line monitoring method |
| CN107818395A (en) * | 2017-09-05 | 2018-03-20 | 天津市电力科技发展有限公司 | A kind of electric energy meter error iterative calculation method based on uncertainty of measurement |
| CN107831465A (en) * | 2017-10-31 | 2018-03-23 | 国网黑龙江省电力有限公司电力科学研究院 | A kind of intelligent electric energy meter fault judgment method based on BP neural network |
| CN207318702U (en) * | 2017-11-13 | 2018-05-04 | 广西电网有限责任公司南宁供电局 | Possesses the electric energy meter calibrating apparatus for carrying out fault diagnosis and analysis |
| CN108445435A (en) * | 2018-02-05 | 2018-08-24 | 国电南瑞科技股份有限公司 | A kind of electric energy meter calibrating apparatus error online evaluation method |
| CN110174636A (en) * | 2019-07-09 | 2019-08-27 | 郑州万特电气股份有限公司 | A kind of detection method, system and the read/write memory medium of electric energy meter period switching |
| CN110398710A (en) * | 2019-07-30 | 2019-11-01 | 中国电力科学研究院有限公司 | A kind of electric energy gauging method and system based on error self diagnosis |
| CN111077491A (en) * | 2019-11-20 | 2020-04-28 | 国网浙江宁波市鄞州区供电有限公司 | Error self-diagnosis processing method for single-phase electric energy meter |
| CN110850357A (en) * | 2019-11-27 | 2020-02-28 | 广东电网有限责任公司 | Remote comprehensive processing system and method for electric energy metering device |
| CN111413660A (en) * | 2020-04-29 | 2020-07-14 | 云南电网有限责任公司电力科学研究院 | Method and system for testing error self-detection function of electric energy meter |
| CN111505562A (en) * | 2020-04-29 | 2020-08-07 | 内蒙古电力(集团)有限责任公司 | Test system for metering performance self-monitoring capability of electric energy meter |
| CN111521966A (en) * | 2020-05-18 | 2020-08-11 | 深圳市瀚邦为电子材料有限公司 | Method and device for monitoring time out-of-tolerance of district electric meter, monitoring terminal and storage medium |
| CN111693928A (en) * | 2020-06-22 | 2020-09-22 | 广东电网有限责任公司计量中心 | Electric energy meter metering error calculation method and device and computer equipment |
| CN112034412A (en) * | 2020-07-20 | 2020-12-04 | 中国电力科学研究院有限公司 | Intelligent electric energy meter misalignment analysis method and system based on intelligent isolating switch |
| CN111948596A (en) * | 2020-08-24 | 2020-11-17 | 国网四川省电力公司电力科学研究院 | Online detection method and system for errors of power meter in transformer area based on multiple time scales |
| CN111965587A (en) * | 2020-08-26 | 2020-11-20 | 安徽南瑞中天电力电子有限公司 | Automatic test method and automatic test platform for stability of electric energy meter |
| CN112068068A (en) * | 2020-09-28 | 2020-12-11 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Error out-of-tolerance automatic detection system for electric energy meter in transformer area |
Non-Patent Citations (3)
| Title |
|---|
| WEIJIANG WU 等: "Effect of Frequency Offset on Power Measurement Error in Digital Input Electricity Meters" * |
| 张文嘉;江小昆;王妲;刘银虎;: "基于误差在线自诊断技术的智能电表设计" * |
| 江小昆;张文嘉;王妲;刘银虎;: "远程误差自诊断电能表的计量故障与窃电识别" * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9292794B2 (en) | Voltage-based clustering to infer connectivity information in smart grids | |
| CN106505557B (en) | Remote measurement error identification method and device | |
| US20160248250A1 (en) | Systems And Methods For Model-Driven Demand Response | |
| CN105824001B (en) | Method and system for testing IEC61850 conformance of digital electric energy meter | |
| CN103336255B (en) | A kind of calibration steps of high-precision failure indicator | |
| CN106405294B (en) | Portable power distribution product transmission calibrator and implementation test method thereof | |
| JP6003091B2 (en) | Voltage monitoring apparatus and voltage monitoring method | |
| CN103885438A (en) | Automatic test system and method for transformer substation measurement and control device | |
| Sarailoo et al. | Cost-effective upgrade of PMU networks for fault-tolerant sensing | |
| CN101846708B (en) | Method for detecting power-failure counting function of distribution transformer terminals in batch | |
| CN207937584U (en) | A kind of zinc oxide arrester tester self-checking device | |
| CN114252694A (en) | System and method for monitoring energy related data in an electrical system | |
| CN106970346A (en) | A kind of method and system for electric energy measuring equipment remote calibration | |
| CN113985339A (en) | Error diagnosis method, system, equipment and storage medium for intelligent electric meter | |
| CN101594133A (en) | Semiconductor integrated circuit, control method and information processor | |
| CN113595246B (en) | Micro-grid state online monitoring method and device, computer equipment and storage medium | |
| CN117374978B (en) | Grid-connected scheduling management method and system constructed by combining knowledge graph | |
| CN109559019A (en) | A kind of Electrical Power System Dynamic safety evaluation method based on risk index | |
| CN112816934A (en) | Method and system for judging error self-monitoring accuracy and timeliness of electric energy meter | |
| CN116577720A (en) | Performance analysis method, terminal and electronic equipment of electric energy meter verification assembly line | |
| CN111273181A (en) | Battery backup unit monitoring method and device, server and readable storage medium | |
| CN110928267A (en) | Method and device for evaluating stability of automobile electric control unit | |
| CN113376564B (en) | Smart electric meter metering correction method and device based on data analysis and terminal | |
| CN110133365B (en) | Method and device for detecting switching event of load | |
| CN113640560A (en) | Method for generating parameterized trans-interval direct current step digital signals |
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 | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210518 |
|
| WW01 | Invention patent application withdrawn after publication |