CN110907884A - Electric energy meter error diagnosis and analysis method based on non-invasive measurement - Google Patents
Electric energy meter error diagnosis and analysis method based on non-invasive measurement Download PDFInfo
- Publication number
- CN110907884A CN110907884A CN201911239122.5A CN201911239122A CN110907884A CN 110907884 A CN110907884 A CN 110907884A CN 201911239122 A CN201911239122 A CN 201911239122A CN 110907884 A CN110907884 A CN 110907884A
- Authority
- CN
- China
- Prior art keywords
- data
- electric energy
- energy meter
- electric
- quantity 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
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)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to an error diagnosis and analysis method based on non-invasive measurement of an electric energy meter, which is characterized by comprising the following steps of: the method comprises the following steps: step one, data acquisition is carried out by using a non-invasive measurement electric energy meter; accessing the acquired data to a master station, respectively acquiring a user profile and electric quantity data according to a preset period, and establishing an error calculation model according to the electric quantity data and the user profile relation data; analyzing the power supply quantity data of the electric energy meters for the platform area examination and the power consumption quantity data of the corresponding user electric energy meters by using the error calculation model, and calculating the operation error of each electric energy meter by using a linear regression algorithm; and fourthly, monitoring the process of analyzing and operating the error calculation model, the process of processing data and the result of analyzing the data, and displaying the result through Web. The invention has the advantages of no need of field test, simple realization method, real-time and rapid detection, high efficiency and safety.
Description
Technical Field
The invention belongs to the technical field of electric energy metering, and particularly relates to an error diagnosis and analysis method based on non-invasive measurement of an electric energy meter.
Background
The smart electric meter is popularized and applied for many years, the core function of the smart electric meter is only limited to electric charge metering, the function is simple, and along with the development of the times, the smart electric meter is far from meeting the increasing application requirements of users; meanwhile, the metering accuracy of the electric energy meter is related to the actual benefits of thousands of households, and the operating income of a power grid enterprise is directly influenced. On one hand, in order to provide better service to customers, power companies are trying to feed back their own power consumption information to customers, but currently only a small amount of total power consumption information can be provided. On the other hand, the metering accuracy of the electric energy meter needs to be measured in a manual carpet type patrol or spot inspection mode, so that the workload is large, the pertinence is not strong, and the situation of field operation errors cannot be reflected in real time.
The Non-intrusive Load Monitoring (NILM) method is proposed relative to the intrusive Load Monitoring method, and the basic idea is as follows: the monitoring equipment does not need to enter the load, and the power utilization information of different electrical appliances in the load can be obtained only by measuring and analyzing the voltage, current and power information at the entrance of the power load. The NILM technology has been developed over the years and is becoming mature. Some scientific research units, enterprises and colleges at home and abroad have developed non-invasive power load monitoring terminals with certain practicability, and have achieved good effects in practical application. Although the independence of the NILM technology is maintained in the terminal, there are major drawbacks in practical application, which are as follows:
and (3) system deployment: the terminal exists as a single body, so that an upper-layer system needs to be respectively deployed with the existing metering automation system, and great difficulty exists in function coordination;
the implementation cost is as follows: the terminal is a single body, so that the integration level is low, and non-invasive equipment needs to be purchased independently, so that the implementation cost is high, and the terminal is not suitable for large-scale popularization;
and (3) field construction: because the terminal is in a single body type, the field construction needs to be additionally divided into areas, and related meter boxes and auxiliary materials are configured, so that the construction difficulty is increased, and the construction difficulty is higher when the transformation project is carried out;
function positioning: because the traditional electric meter belongs to a measuring instrument of national statutory, the load decomposition and identification terminal is always in an auxiliary position, although the precision is higher, the traditional electric meter cannot replace the electric meter in a short period and cannot be used as a measuring basis, and the charging is carried out by the electric energy meter.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an error diagnosis and analysis method based on non-invasive measurement of an electric energy meter.
The technical problem to be solved by the invention is realized by adopting the following technical scheme:
a non-invasive measurement-based electric energy meter error diagnosis and analysis method is characterized by comprising the following steps: the method comprises the following steps:
step one, data acquisition is carried out by using a non-invasive measurement electric energy meter;
accessing the acquired data to a master station, respectively acquiring a user profile and electric quantity data according to a preset period, and establishing an error calculation model according to the electric quantity data and the user profile relation data;
analyzing the power supply quantity data of the electric energy meters for the platform area examination and the power consumption quantity data of the corresponding user electric energy meters by using the error calculation model, and calculating the operation error of each electric energy meter by using a linear regression algorithm;
and fourthly, monitoring the process of analyzing and operating the error calculation model, the process of processing data and the result of analyzing the data, and displaying the result through Web.
Moreover, the collected data are non-invasive intelligent power utilization big data.
And the acquired data is accessed to the master station through a 4G intelligent gateway through non-invasive data processing.
Also, the electricity amount data includes: the power supply electric quantity data of the electric energy meters for the station area examination in at least one period and the power consumption electric quantity data of the corresponding user electric energy meters;
moreover, the error calculation model is as follows:
Δy-(n)＝-Σj＝1p∈jφ-j(n)+∈y*y-(n)+∈0,]]>
wherein Σ j is the area average line loss of M continuous data points in the area; epsilon j is the average value of the errors of M measuring points of the electric energy meter j; ε y is the average line loss rate of M measurement points in the platform area; phi j (n) is the average value of M continuous electricity consumptions of the jth user table; the average value of the total electric energy of the M continuous measuring points in the transformer area is obtained; epsilon 0 is the fixed loss of M measuring points in the transformer area; and p is the number of the electric energy meters in the transformer area.
The invention has the advantages and positive effects that:
under the framework of an advanced measurement system of an intelligent power grid, based on the advantages of the original non-invasive power load monitoring technology in the aspects of power consumption data acquisition and analysis, a set of statistical analysis method is adopted to analyze terminal voltage and total current signals acquired at a power supply main inlet of a power load, and load power consumption detail information is acquired, so that the power consumption states and power consumption rules of different electrical equipment can be known. The load decomposition technology is a brand-new power load electricity utilization information acquisition and analysis technology. The technology can know the power utilization state information and the power utilization rule of each or every type of electric equipment in the total load through single-point measurement and real-time analysis of the electric information of the electric load, and does not need to equip each interested electric equipment with a sensor with a digital communication function like the traditional monitoring technology. If the traditional monitoring approach is referred to as "intrusive" power load monitoring, then the load splitting technique may be referred to figuratively as "non-intrusive" power load monitoring and splitting; compared with the former, it has incomparable investment, deployment and operation advantages. Meanwhile, a classified load dynamic curve obtained by 'non-invasive' power load monitoring and decomposition provides guarantee for fine load analysis, and data acquisition analysis and business support capability of a company are improved, so that intelligent and convenient advanced power utilization service is provided for power customers, and powerful support is provided for safety, stability and economic operation of a power grid.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is a schematic diagram of the present invention.
Detailed Description
The embodiments of the invention are described in further detail below with reference to the following figures:
1. the technical scheme of online monitoring of the metering error of the electric energy meter and the technical scheme of non-invasive load monitoring for the application requirements of the new generation of electric energy meter are adopted.
The overall architecture of the system is shown in the figure, and the architecture is divided into a data acquisition layer, a data communication layer and a system master station layer.
The data acquisition layer accesses data acquired by the non-invasive novel intelligent electric meter to a master station through a non-invasive data processing intelligent gateway through 4G; developing and docking a non-invasive intelligent power consumption big data analysis and application system on a system master station layer; meanwhile, the system develops an external interface to ensure data interaction with other systems, develops an interface with an electric energy meter metering error online monitoring system, realizes the comparison, analysis and verification of the double-core electric meter type non-invasive load decomposition data and the sampling and checking data, develops an interface with a metering automation system, can acquire the electric energy meter acquisition data of a user corresponding to the metering automation system, and realizes the consistency verification of the non-invasive intelligent electricity consumption monitoring data and the metering data. Respectively acquiring a user profile and power consumption data according to a preset period, wherein the power consumption data comprise: the power supply electric quantity data of the electric energy meters for the station area examination in at least one period and the power consumption electric quantity data of the corresponding user electric energy meters;
establishing an error calculation model according to the electric quantity data and the user profile relation data, wherein the error calculation model is as follows:
Δy-(n)＝-Σj＝1p∈jφ-j(n)+∈y*y-(n)+∈0,]]>
wherein Σ j is the area average line loss of M continuous data points in the area; epsilon j is the average value of the errors of M measuring points of the electric energy meter j; ε y is the average line loss rate of M measurement points in the platform area; phi j (n) is the average value of M continuous electricity consumptions of the jth user table; the average value of the total electric energy of the M continuous measuring points in the transformer area is obtained; epsilon 0 is the fixed loss of M measuring points in the transformer area; p is the number of electric energy meters in the transformer area;
analyzing the power supply quantity data of the electric energy meters for the platform area examination and the power consumption quantity data of the corresponding user electric energy meters by using the error calculation model, and calculating the operation error of each electric energy meter by using a linear regression algorithm;
and monitoring the process of analyzing and operating the error calculation model, the process of data processing and the result of data analysis, and displaying through Web.
By combining marketing requirements, deep mining and advanced analysis of data uploaded by a non-invasive intelligent electric meter are realized by a big data method, high-performance parallel processing capability is provided, and technical support is provided for demand side management.
2. A new generation of electric energy meter software and hardware design scheme integrating the functions of online monitoring of the metering error of an electric energy meter and non-intrusive load monitoring.
Non-invasive novel intelligent single-phase electric meter through carrying out the partial upgrading to current smart electric meter system, fuses into smart electric meter system with non-invasive power load monitoring technology and electric energy meter measurement error on-line monitoring technology, makes it possess load and discern and measure error on-line monitoring function, forms the novel smart electric meter of two functions more than integrated. Wherein, novel smart electric meter possesses among the current smart electric meter all functions that have defined, ensures that novel smart electric meter can pass through the pattern test smoothly to in order to promote the practicality on a large scale, newly-increased load is discerned the function module that the function is relevant and is carried out the integration encapsulation, can plug and play. The ammeter has a self-error real-time monitoring function, and the monitoring precision is not lower than 0.2%; meanwhile, the electric meter has a load data multi-dimensional high-frequency acquisition function, has a function of extracting steady-state characteristic quantity and transient-state characteristic quantity in a circuit, can sample user current, voltage and power signals at a frequency not lower than 1.6kHZ, obtains a compressed user file and electricity consumption data from a specified FTP server, and stores the user file and the electricity consumption data after format conversion. Before the power supply quantity data of the electric energy meter for the district examination and the power consumption quantity data of the corresponding user electric energy meter are analyzed by using the error calculation model, the user files and the power consumption data after format conversion are processed according to the characteristics of each metering device in the district and the online, offline and alternate operation of the electric energy meter for the district examination and the power consumption quantity data of the corresponding user electric energy meter, and data points of errors and missing are filtered out, the power supply quantity data of the electric energy meter for the district examination and the power consumption quantity data of the corresponding user electric energy meter are analyzed by using the error calculation model, and the operation error of each electric energy meter is calculated by using a linear regression algorithm, which comprises the following steps: and simultaneously dividing both sides of the error calculation model by the power supply electric quantity data to obtain an electric energy meter operation error remote diagnosis analysis formula, and calculating the statistical weighted error average value of the electric energy meter according to a least square method by utilizing the error calculation model to evaluate the power supply electric quantity data of the electric energy meter for the transformer area and the corresponding power consumption electric quantity data of the user electric energy meter.
3. The access scheme of the power consumption information acquisition system of the new generation of electric energy meters and the communication technical scheme of the power consumption information acquisition system are adapted.
The electricity consumption information acquisition system of the new generation of electric energy meter supports the access of the data acquired by a novel intelligent electric meter with non-invasive load identification and metering error on-line monitoring technology; and the client is supported to browse and monitor the basic family information through the mobile phone APP. A user can inquire the electricity utilization information of the household electric equipment in a code scanning mode through a mobile terminal; the interface of the functions and the metering automation system is developed, so that the electric energy meter acquisition data of a user corresponding to the metering automation system can be acquired, and the display of non-invasive intelligent electricity consumption monitoring data and metering online error information data in the utilization system is realized.
The new generation of electric energy meter data is divided into a metering part and a management part which are simultaneously transmitted to the electricity utilization information acquisition system through a channel. The metering part still adopts the original DL/T645 and 2007 multifunctional electric energy meter communication protocol, and the access mode of the metering part and the electricity utilization information acquisition system is unchanged.
The management part is the information content of the load identification information and the measurement on-line error monitoring information. The two parts of information contents are in butt joint with the power utilization information acquisition system through an extended protocol of load identification. The method and the system for detecting the error of the electric energy meter can monitor the integral metering error of the electric energy metering device in real time at the same time based on the error diagnosis of the electric energy meter, and have the advantages of no need of field test, simple implementation method, real-time, fast, efficient and safe detection. The basic data display can be carried out on the information through the client side APP, and the user experience is enhanced.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (5)
1. A non-invasive measurement-based electric energy meter error diagnosis and analysis method is characterized by comprising the following steps: the method comprises the following steps:
step one, data acquisition is carried out by using a non-invasive measurement electric energy meter;
accessing the acquired data to a master station, respectively acquiring a user profile and electric quantity data according to a preset period, and establishing an error calculation model according to the electric quantity data and the user profile relation data;
analyzing the power supply quantity data of the electric energy meters for the platform area examination and the power consumption quantity data of the corresponding user electric energy meters by using the error calculation model, and calculating the operation error of each electric energy meter by using a linear regression algorithm;
and fourthly, monitoring the process of analyzing and operating the error calculation model, the process of processing data and the result of analyzing the data, and displaying the result through Web.
2. The method of claim 1, wherein the method comprises the steps of: the collected data is non-invasive intelligent electricity utilization big data.
3. The method of claim 1, wherein the method comprises the steps of: the acquired data is accessed to the master station through a 4G intelligent gateway through non-invasive data processing.
4. The method of claim 1, wherein the method comprises the steps of: the electric quantity data includes: and the station area of at least one period evaluates the power supply electric quantity data of the electric energy meter and the corresponding power consumption electric quantity data of the user electric energy meter.
5. The method of claim 1, wherein the method comprises the steps of: the error calculation model is as follows:
Δy-(n)＝-Σj＝1p∈jφ-j(n)+∈y*y-(n)+∈0,]]>
wherein Σ j is the area average line loss of M continuous data points in the area; e j is the average value of the errors of M measuring points of the electric energy meter j; ε y is the average line loss rate of M measurement points in the platform area; phi j (n) is the average value of M continuous electricity consumptions of the jth user table; y is-(n) is the average value of the total electric energy of M continuous measuring points in the transformer area; epsilon 0 is the fixed loss of M measuring points in the transformer area; and p is the number of the electric energy meters in the transformer area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911239122.5A CN110907884A (en) | 2019-12-06 | 2019-12-06 | Electric energy meter error diagnosis and analysis method based on non-invasive measurement |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911239122.5A CN110907884A (en) | 2019-12-06 | 2019-12-06 | Electric energy meter error diagnosis and analysis method based on non-invasive measurement |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110907884A true CN110907884A (en) | 2020-03-24 |
Family
ID=69823103
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911239122.5A Pending CN110907884A (en) | 2019-12-06 | 2019-12-06 | Electric energy meter error diagnosis and analysis method based on non-invasive measurement |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110907884A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111562434A (en) * | 2020-04-28 | 2020-08-21 | 国电南瑞科技股份有限公司 | Intelligent measuring system and method for non-household electrical appliance information |
| 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 |
| CN112287297A (en) * | 2020-10-14 | 2021-01-29 | 国网四川省电力公司电力科学研究院 | Electric energy meter quality consistency evaluation method and medium based on random sampling |
| CN113281697A (en) * | 2021-05-20 | 2021-08-20 | 国网河南省电力公司营销服务中心 | Operation error online analysis method and system |
| CN113466520A (en) * | 2021-07-07 | 2021-10-01 | 国网福建省电力有限公司营销服务中心 | Method for on-line identifying misalignment electric energy meter |
| CN113538165A (en) * | 2021-05-28 | 2021-10-22 | 国网上海市电力公司 | Resident electricity consumption behavior perception analysis method serving for energy conservation and emission reduction of users |
| CN114063003A (en) * | 2022-01-06 | 2022-02-18 | 山东省计量科学研究院 | Electric energy meter measurement error detection method and system based on cell, and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201397354Y (en) * | 2008-12-11 | 2010-02-03 | 河南省电力公司郑州供电公司 | Massive-quantity power-supply and measurement metering cabinet anti-electricity-theft device |
| CN202471784U (en) * | 2012-02-10 | 2012-10-03 | 深圳市科陆电子科技股份有限公司 | Security device for electric energy meter programmed control part |
| CN103001230A (en) * | 2012-11-16 | 2013-03-27 | 天津大学 | Non-invasive power load monitoring and decomposing current mode matching method |
| US20140355457A1 (en) * | 2013-05-31 | 2014-12-04 | Arcadyan Technology Corporation | System for testing wireless signals and method for establishing the same |
| CN107462863A (en) * | 2017-09-05 | 2017-12-12 | 中国电力科学研究院 | A kind of intelligent electric energy meter kinematic error operational diagnostics analysis method and system |
| CN109001528A (en) * | 2018-06-14 | 2018-12-14 | 国网江苏省电力有限公司电力科学研究院 | A kind of non-intrusion type metering separate acquisition system |
-
2019
- 2019-12-06 CN CN201911239122.5A patent/CN110907884A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201397354Y (en) * | 2008-12-11 | 2010-02-03 | 河南省电力公司郑州供电公司 | Massive-quantity power-supply and measurement metering cabinet anti-electricity-theft device |
| CN202471784U (en) * | 2012-02-10 | 2012-10-03 | 深圳市科陆电子科技股份有限公司 | Security device for electric energy meter programmed control part |
| CN103001230A (en) * | 2012-11-16 | 2013-03-27 | 天津大学 | Non-invasive power load monitoring and decomposing current mode matching method |
| US20140355457A1 (en) * | 2013-05-31 | 2014-12-04 | Arcadyan Technology Corporation | System for testing wireless signals and method for establishing the same |
| CN107462863A (en) * | 2017-09-05 | 2017-12-12 | 中国电力科学研究院 | A kind of intelligent electric energy meter kinematic error operational diagnostics analysis method and system |
| CN109001528A (en) * | 2018-06-14 | 2018-12-14 | 国网江苏省电力有限公司电力科学研究院 | A kind of non-intrusion type metering separate acquisition system |
Non-Patent Citations (1)
| Title |
|---|
| 饶竹一 等: "非侵入负荷分解技术验证平台的研究与应用", 《电子测量技术》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111562434A (en) * | 2020-04-28 | 2020-08-21 | 国电南瑞科技股份有限公司 | Intelligent measuring system and method for non-household electrical appliance information |
| 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 |
| CN111948596B (en) * | 2020-08-24 | 2023-03-14 | 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 |
| CN112287297A (en) * | 2020-10-14 | 2021-01-29 | 国网四川省电力公司电力科学研究院 | Electric energy meter quality consistency evaluation method and medium based on random sampling |
| CN112287297B (en) * | 2020-10-14 | 2023-03-21 | 国网四川省电力公司电力科学研究院 | Electric energy meter quality consistency evaluation method and medium based on random sampling |
| CN113281697A (en) * | 2021-05-20 | 2021-08-20 | 国网河南省电力公司营销服务中心 | Operation error online analysis method and system |
| CN113538165A (en) * | 2021-05-28 | 2021-10-22 | 国网上海市电力公司 | Resident electricity consumption behavior perception analysis method serving for energy conservation and emission reduction of users |
| CN113466520A (en) * | 2021-07-07 | 2021-10-01 | 国网福建省电力有限公司营销服务中心 | Method for on-line identifying misalignment electric energy meter |
| CN114063003A (en) * | 2022-01-06 | 2022-02-18 | 山东省计量科学研究院 | Electric energy meter measurement error detection method and system based on cell, and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110907884A (en) | Electric energy meter error diagnosis and analysis method based on non-invasive measurement | |
| CN101515015B (en) | Power quality monitoring and recording device of power system | |
| CN202057784U (en) | Online calibrating and digital online monitoring system for electric energy meter | |
| CN103885438B (en) | The Auto-Test System of a kind of transformer station measuring and controlling equipment and method | |
| CN111026927A (en) | Low-voltage transformer area running state intelligent monitoring system | |
| CN110928866A (en) | Line topology checking method and system based on power failure information big data analysis | |
| CN201368905Y (en) | Power quality monitoring and recording device of power system | |
| CN107741577A (en) | A kind of Source of Gateway Meter degree of accuracy on-line monitoring and analysis method and system | |
| CN112288303A (en) | Method and device for determining line loss rate | |
| CN104931775A (en) | Network multi-functional three-phase electric energy meter possessing electric energy quality analysis function | |
| CN102298099A (en) | Power distribution and consumption monitoring and measuring apparatus possessing time calibration function | |
| CN110174564A (en) | The filed detection system and its detection method of equipment for monitoring power quality access main website | |
| CN105866726A (en) | Portable assessment device based on reliable data of electric energy meter | |
| Nan et al. | Centralized automatic meter reading system based on GPRS technology | |
| CN201984125U (en) | Quick analysis and post-processing system for on-site test data of primary power equipment | |
| CN110687494A (en) | Method and system for monitoring faults of remote gateway electric energy meter | |
| CN207894996U (en) | A kind of solar photovoltaic power plant electric energy metered system | |
| CN111638401A (en) | Capacitor online monitoring system and method | |
| CN203012041U (en) | Line loss detection apparatus and system | |
| CN105184676A (en) | Power utilization data processing method and apparatus | |
| CN105116190A (en) | Novel high-voltage user electricity stealing preventing system | |
| CN115587635A (en) | Transformer area line loss analysis method and system based on neutral point deviation judgment | |
| CN109490658A (en) | Distribution terminal automatic verification system | |
| CN205120822U (en) | Intelligent anti -electricity -theft system of high pressure | |
| CN205720421U (en) | Remote power measurement monitoring system |
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: 20200324 |