CN101950008A - Method for remotely and dynamically monitoring electric energy metering load - Google Patents
Method for remotely and dynamically monitoring electric energy metering load Download PDFInfo
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Abstract
The invention discloses a method for remotely and dynamically monitoring electric energy metering load. The method comprises the following steps of: (1) modularly encapsulating data according to the difference of operation frequency and monitoring authority to build a header, a CRC and a split key which correspond to the data; (2) transmitting an encapsulated data packet to a background processor authorized by an allocation level through the internet, wherein the background processor splits the modular data packet according to the authority of an operation key, the verification of the data CRC and the verification of the split key, and performs the CRC verification and the fault tolerance processing on the split data; (3) building a matched data processing mode to correspond to the data packet one-to-one according to the operation frequency; and (4) processing, backing up and reporting abnormal data in a way of combining an arbitrating mechanism with self-healing capacity. By the method for remotely and dynamically monitoring the electric energy metering load, the management and the use of the electric energy metering load are more accurate, quicker and more effective, and the accuracy and the justification of electricity user checking are guaranteed.
Description
Technical field
The present invention relates to the power system automation technology field, particularly a kind of method that is used for the remote dynamic monitoring electric energy metrical load of electric energy metered system.
Background technology
Accuracy, stability, reliability and the security of current the intelligent electric energy meter operation more and more receives the attention and the concern of quality supervision department and vast power customer, and the dynamic load of guaranteeing the accuracy of intelligent grid electric energy metrical and improving intelligent electric energy meter is monitored efficient in real time and needed to be resolved hurrily.The patent No. is that the Chinese utility model of CN201207081Y discloses a kind of electric energy metering error remote online detection system signal deteching circuit, this testing circuit is mainly used in the on-line testing electric energy meter error, detects the voltage and current parameter, the work of alternative artificial field-checking has improved work efficiency; Publication number is that the Chinese utility model of CN201307159Y discloses a kind of remote power table verification system, and its objective is provides a kind of calibrating installation.But above-mentioned 2 disclosed utility models all do not relate to the method that the remote dynamic monitoring electric energy metrical is loaded.Publication number be CN1690718A Chinese disclosure of the Invention a kind of monitoring method of electric power system electric quantity balancing, be used for transformer to electric system, substation bus bar, the monitoring of the input and output high-voltage electric-energy meter of LAN (Local Area Network), this invents described method can realize monitoring to electric power system input and output electric quantity balancing, but technique scheme only is used for the monitoring to the high pressure measurement device, the method that does not also relate to electric energy meter dynamic load characteristic remote real time monitoring, so up to now, also openly can not satisfy related request both at home and abroad, the method of high-efficiency reliable remote dynamic monitoring electric energy metrical load is particularly at the electric energy meter that embeds (SuSE) Linux OS.
Summary of the invention
The object of the present invention is to provide and a kind ofly can more accurate, quick, effectively manage and use electric energy measurement data, make the accuracy of examination electricity consumption side and the method for the guaranteed remote dynamic monitoring electric energy metrical load of fairness.
The method of this remote dynamic monitoring electric energy metrical load provided by the invention comprises the steps:
(1) according to the difference of operating frequency and monitoring authority data is carried out the modularization encapsulation, set up corresponding with it header, CRC and split key;
(2) packaged packet transfers to the background processor that is equipped with the rank mandate through internet, described background processor according to the mandate, data CRC check of operation key and and the checking that splits key split the modularization packet, and to the data after splitting carry out CRC check and fault-tolerant processing;
(3) according to operating frequency, the data processing method of setting up coupling is corresponding one by one with packet;
(4) in conjunction with arbitration mechanism abnormal data is handled, backed up and reports with self-healing ability.
Described operation key is divided into 00,01,02 3 rank, and the monitoring authority of described operation keys at different levels is provided with as follows: (1) 00 grade: check normal Monitoring Data, the calibration parameter of operated from a distance flash backup, unusual, the clear exception record of reparation; (2) 01 grades: the calibration parameter of checking normal Monitoring Data, operated from a distance flash backup; (3) 02 grades: check normal Monitoring Data.The data that encapsulate described in the step (1) comprise single-phase voltage, electric current, mains frequency, and current in middle wire single-phasely has, reactive power, single-phase power factor, forward and reverse active energy, four-quadrant reactive energy, load curve, the logout of configurable monitoring, electric weight is remedied; Described operating frequency comprises the per second operation, per hour operation, operation every day, operation in every month and configurable long-time operation, the corresponding data encapsulation of difference coupling according to described operating frequency, the data of described per second operation comprise operational factor, instantaneous charge value, power factor, the described per hour data of operation comprise mains frequency, electricity consumption histogram per hour, the data of described operation every day comprise synchronous clock, anomalous event, real-time day curve, the data of operation in described every month comprise historical day curve, and the data of described long-time operation comprise historical month curve, the monitoring logout, electric weight is remedied the scheme reference time, the FLASH Backup Data.Described data processing method comprises that numerical value shows the state table that electric parameter, curve statement dynamic load curve, timing are upgraded the electric current and voltage polar plot, inquired about clock and simulate pilot lamp prompting Monitoring Data in real time.The described arbitration mechanism of step (4) can be handled and back up abnormal data, to handling unusually and recover, and is equipped with query function according to user of service's monitoring authority according to the operation key, and the time of origin of recording exceptional also reports.Curve was the load histogram that comprises 96 histograms that default data is spaced apart power consumption formation in per 15 minutes in described real-time day, was at interval with the tariff period, and the electric weight of each tariff period of spike Pinggu load histogram uses the yellowish green four kinds of color showings of blood orange; Described historical day curve is that default data is spaced apart an inquiry day load histogram that comprises 24 histograms forming of power consumption per hour; A described historical month curve is divided into actual monthly load curve and average monthly load curve, described actual monthly load curve is that default data is spaced apart the inquiry load histogram that month every day, power consumption formed, the histogram of loading each Sunday identifies with special color, and described average monthly load curve is default data be spaced apart that the arithmetic mean power consumption of inquiry month each hour of each day forms the load histogram of totally 24 histograms.
The present invention is owing to adopted the abnormal data arbitration mechanism, not only make data obtain reliable record, and fully guaranteed the self-healing ability of electric energy metrical mechanism, be moved, uncap at electric energy meter and when having branch direction trend harmonic wave to occur, can highlight in the dynamic load powertrace of being monitored in real time, and abnormal alarm as required, the very first time allows the monitoring personnel of power supply department learn, for further investigating the cause and rewarding and punishing electricity consumption side provides reliable basis for estimation.The method of this remote dynamic monitoring electric energy metrical load provided by the invention makes to the management of electric energy measurement data and uses more accurately, fast, effectively, guaranteed the accuracy and the fairness of examination electricity consumption side.
Description of drawings
Fig. 1 is that system of the present invention forms synoptic diagram.
Fig. 2 is the corresponding relation figure of default action frequency of the present invention and data.
Fig. 3 is a data encapsulation process flow diagram of the present invention.
Fig. 4 is that data of the present invention split process flow diagram.
Fig. 5 is the exception arbitration mechanism process flow diagram that the present invention monitors.
Fig. 6 is the power supply dynamic characteristic figure that the present invention shows.
Embodiment
Fig. 1 is that system of the present invention forms synoptic diagram, the electric energy meter, internet network, indoor, outdoor monitoring station and the background processor that mainly comprise some the monitored RJ45 of possessing interfaces and support TCP/IP, the user can realize analyzing and remote control operation with energy information by indoor monitoring station or outdoor monitoring station (notebook etc.).
Fig. 2 is the corresponding relation figure of default action frequency of the present invention and data, wherein the data of per second operation comprise operational factor, instantaneous charge value, power factor, per hour Cao Zuo data comprise mains frequency, electricity consumption histogram per hour, every day, the data of operation comprised synchronous clock, anomalous event, real-time day curve, the data of operation in every month comprise historical day curve, the data of long-time operation comprise historical month curve, the monitoring logout, electric weight is remedied the scheme reference time, FLASH Backup Data etc., simultaneously, the user can be configured operating frequency and data according to key and monitoring authority.
Fig. 3 is a data encapsulation process flow diagram of the present invention, main encapsulation mechanism of setting forth monitored data stream transmitting terminal to data, at first judge whether to start the encapsulation condition, when not satisfying condition, promptly encapsulate zone bit (PACK_ENABLE_FLG) and be at 0 o'clock and directly withdraw from flow process, otherwise, when encapsulation zone bit (PACK_ENABLE_FLG) is 1, normally encapsulate; Input Monitor Connector personnel name and operation key then, according to monitoring authority coupling different operating key, when both do not match number of times when surpassing 5 times, being judged to illegal operation and record should be unusual, and the compulsory withdrawal flow process; After otherwise the match is successful,, and mate unique header, CRC and fractionation key according to the difference encapsulation of data of operating frequency, monitoring authority; Judge whether to finish the encapsulation of all data at last, be judged as true time and normally withdraw from flow process, otherwise circulation input operation frequency is until finishing encapsulation.
Fig. 4 is that data of the present invention split process flow diagram, the main mechanism of unpacking of setting forth the data receiving terminal to data, at first judge whether to start the mechanism of unpacking, when not satisfying condition, promptly encapsulate zone bit (PACK_ENABLE_FLG) or split zone bit (UNPACK_ENABLE_FLG) that any is directly to withdraw from flow process at 0 o'clock, otherwise, when encapsulation zone bit (PACK_ENABLE_FLG) is 1 simultaneously with fractionation zone bit (UNPACK_ENABLE_FLG), carry out normal data and split; The operation key that matches according to the difference input of monitoring authority then, when both do not match number of times when surpassing 5 times, be judged to illegal operation, record should unusual and compulsory withdrawal flow process, when both when the match is successful, the fractionation key that input is consistent with encapsulation if the fractionation wrong cipher key number of times of operator's input surpasses 3 times, is judged to lack of competence and splits, and compulsory withdrawal splits flow process, otherwise acquiescence splits successfully, disposes corresponding processing mode according to data type, and shows relevant information by software interface; Judge whether to finish fractionation at last, be judged as true time and normally withdraw from flow process, otherwise the corresponding processing mode of loop configuration is until finishing fractionation.
Fig. 5 is the exception arbitration mechanism process flow diagram that the present invention monitors, main realization of setting forth exception arbitration mechanism, the energy data of arbitration critical point examination at first, carrying out electric weight according to load characteristic remedies, whether arbitrate instantaneous power then exists unusually, arbitrate anomalous event afterwards, arbitrate load curve at last, the energy data of arbitration critical point examination wherein, carrying out the implementation procedure that electric weight remedies according to load characteristic is: the beginning and ending time T1 that reads last powered-off fault, T2, and dispose rational electric weight according to this time period internal burden characteristic and remedy scheme, specifically remedy scheme: when load is a stable state load, then the value of remedying is P * (T2-T1); When being varying loading, according to load calculating electric energy conduct value of remedying of T1 and preceding 1s; When given load characteristic not, with T1 and T2 electric energy maximal value constantly as the value of remedying, after definite electric weight is remedied successfully, the difference that record is remedied, electricity consumption side provides reliable data for examination, otherwise the corresponding electric weight of circulation coupling is remedied scheme until remedying successfully, if all allocation plans all can't finish and remedy, then with the same day greatest requirements electric weight be as the criterion and remedy; Whether the arbitration instantaneous power exists unusual implementation procedure to be: when the instantaneous power that has a certain moment during greater than max-thresholds, wherein threshold value is the histogram peak power of loading the same day, then write down the beginning and ending time of its difference and generation, finish the arbitration that enters anomalous event after the data recording, when the instantaneous power that does not have a certain moment during, directly enter the arbitration of anomalous event greater than max-thresholds; The implementation procedure of arbitration anomalous event is: when anomalous event taking place, revise data after unusual, recording processing time, data item, raw data, the modification according to the difference of authority, and report amendment record, otherwise directly enter the arbitration of the load curve of inquiring about; The implementation procedure of arbitrated house's inquiry load curve is: at first read required load curve data, then with curve histogram contrast in historical day, when both are consistent, Backup Data is to the database of background processor, otherwise calculate the examination value according to a historical day opisometer, and it is backed up to the database of background processor as default value, and write down time of origin, report, personnel provide reliable data for the examination monitoring.
Fig. 6 is the power supply dynamic characteristic figure that the present invention shows, it has characterized the power supply dynamic perfromance of monitored target, and described curve has following function: (1) gathers power and load data in real time, and speed is every point/1s; (2) dynamically show the powertrace that up-to-date n is ordered, wherein the value of n can be provided with; (3) but powertrace display density flexible configuration; (4) data forever are saved in the database of background processor; (5) by the different branch of the rank rank inquiry of operation key, the service datas in copies data storehouse; (6) detection of dynamic part throttle characteristics is according to the threshold value abnormal alarm sudden load change that can establish.Among Fig. 6 in the whole service process each minute elementary current equate, negative phase sequence at first, three-phase equilibrium powered operation 150s, each minute, first power was p1 (p1＜0), re-power behind the instant power-down 5s then, negative phase sequence, three-phase equilibrium powered operation 250s, each minute, first power was p1, re-power behind the power down 250s afterwards, from positive phase sequence, three-phase equilibrium powered operation 30s, this moment first power p2(p2 of each minute 0), switch to the independent powered operation 30s(A of A phase voltage phase power p2) after, switch to the B 30s(B phase power p2 that powers separately mutually), switching to the C 10s(C phase power p2 that powers separately mutually) the back power down.Behind power down continuity 90s, power on positive phase sequence, three-phase equilibrium power supply at last.
Claims (7)
1. the method for a remote dynamic monitoring electric energy metrical load is characterized in that this method comprises the steps:
(1) according to the difference of operating frequency and monitoring authority data is carried out the modularization encapsulation, set up corresponding with it header, CRC and split key;
(2) packaged packet transfers to the background processor that is equipped with the rank mandate through internet, described background processor according to the mandate, data CRC check of operation key and and the checking that splits key split the modularization packet, and to the data after splitting carry out CRC check and fault-tolerant processing;
(3) according to operating frequency, the data processing method of setting up coupling is corresponding one by one with packet;
(4) in conjunction with arbitration mechanism abnormal data is handled, backed up and reports with self-healing ability.
2. the method for remote dynamic monitoring electric energy metrical load according to claim 1 is characterized in that the described operation key of step (1) is divided into 00,01,02 3 rank, and the monitoring authority of described operation keys at different levels is provided with as follows:
(1) 00 grade: check normal Monitoring Data, the calibration parameter of operated from a distance flash backup, unusual, the clear exception record of reparation;
(2) 01 grades: the calibration parameter of checking normal Monitoring Data, operated from a distance flash backup;
(3) 02 grades: check normal Monitoring Data.
3. the method for remote dynamic monitoring electric energy metrical load according to claim 1, it is characterized in that the data that encapsulate described in the step (1) comprise single-phase voltage, electric current, mains frequency, current in middle wire single-phasely has, reactive power, single-phase power factor, forward and reverse active energy, four-quadrant reactive energy, load curve, the logout of configurable monitoring, electric weight is remedied.
4. the method for remote dynamic monitoring electric energy metrical load according to claim 1, it is characterized in that the described operating frequency of step (1) comprises the per second operation, per hour operation, operation every day, operation in every month and configurable long-time operation, the corresponding data encapsulation of difference coupling according to described operating frequency, the data of described per second operation comprise operational factor, instantaneous charge value, power factor, the described per hour data of operation comprise mains frequency, electricity consumption histogram per hour, the data of described operation every day comprise synchronous clock, anomalous event, real-time day curve, the data of operation in described every month comprise historical day curve, and the data of described long-time operation comprise historical month curve, the monitoring logout, electric weight is remedied the scheme reference time, the FLASH Backup Data.
5. the method for remote dynamic monitoring electric energy metrical load according to claim 1 is characterized in that described data processing method comprises that numerical value shows the state table that electric parameter, curve statement dynamic load curve, timing are upgraded the electric current and voltage polar plot, inquired about clock and simulate pilot lamp prompting Monitoring Data in real time.
6. the method for remote dynamic monitoring electric energy metrical load according to claim 1, it is characterized in that the described arbitration mechanism of step (4) can handle and back up abnormal data, according to operating key to handling unusually and recovering, and being equipped with query function according to user of service's monitoring authority, the time of origin of recording exceptional also reports.
7. the method for remote dynamic monitoring electric energy metrical load according to claim 4, it is characterized in that described real-time day curve is the load histogram that comprises 96 histograms that default data is spaced apart power consumption formation in per 15 minutes, with the tariff period is at interval, and the electric weight of each tariff period of spike Pinggu load histogram uses the yellowish green four kinds of color showings of blood orange; Described historical day curve is that default data is spaced apart an inquiry day load histogram that comprises 24 histograms forming of power consumption per hour; A described historical month curve is divided into actual monthly load curve and average monthly load curve, described actual monthly load curve is that default data is spaced apart the inquiry load histogram that month every day, power consumption formed, the histogram of loading each Sunday identifies with special color, and described average monthly load curve is default data be spaced apart that the arithmetic mean power consumption of inquiry month each hour of each day forms the load histogram of totally 24 histograms.
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| CN102520242A (en) * | 2011-12-12 | 2012-06-27 | 宁夏隆基宁光仪表有限公司 | Recording method of load curves of electric energy meter |
| CN103514571A (en) * | 2013-10-22 | 2014-01-15 | 国家电网公司 | Load curve decomposition based load modeling method for commercial load and resident load |
| CN103558574A (en) * | 2013-10-24 | 2014-02-05 | 国家电网公司 | Method for testing software fault-tolerant capability of intelligent ammeter based on EEPROM data reading and writing |
| CN103713275A (en) * | 2013-10-24 | 2014-04-09 | 国网安徽省电力公司 | Method judging electric energy meter metering inaccuracy abnormities based on multidimensional association rule algorithm |
| CN103809148A (en) * | 2012-11-12 | 2014-05-21 | 深圳供电局有限公司 | Method and system for measuring dynamic characteristics of electric energy meter |
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| CN102520242A (en) * | 2011-12-12 | 2012-06-27 | 宁夏隆基宁光仪表有限公司 | Recording method of load curves of electric energy meter |
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| CN104678348A (en) * | 2012-10-29 | 2015-06-03 | 江苏省电力公司常州供电公司 | Remote monitoring and diagnosing method for electric energy metering device with high efficiency |
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| CN103514571B (en) * | 2013-10-22 | 2016-08-17 | 国家电网公司 | A kind of business resident load type load modeling method based on load curve decomposition |
| CN103514571A (en) * | 2013-10-22 | 2014-01-15 | 国家电网公司 | Load curve decomposition based load modeling method for commercial load and resident load |
| CN103558574A (en) * | 2013-10-24 | 2014-02-05 | 国家电网公司 | Method for testing software fault-tolerant capability of intelligent ammeter based on EEPROM data reading and writing |
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| CN105319527A (en) * | 2015-11-23 | 2016-02-10 | 中国电力科学研究院 | An electric energy meter load record test method |
| CN105319527B (en) * | 2015-11-23 | 2019-03-22 | 中国电力科学研究院 | A kind of electric energy meter load record test method |
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| CN109470289A (en) * | 2018-09-18 | 2019-03-15 | 中国电力科学研究院有限公司 | A kind of method and system identifying the measuring equipment reversed event of energy flow value |
| CN110261810A (en) * | 2019-06-11 | 2019-09-20 | 国家电网有限公司 | A method of study and judge that there are reversed active energy low-voltage electricity user types |
| CN110261810B (en) * | 2019-06-11 | 2021-07-23 | 国家电网有限公司 | Method for studying and judging types of low-voltage power users with reverse active electric quantity |
| CN110596636A (en) * | 2019-09-10 | 2019-12-20 | 江阴长仪集团有限公司 | Smart electric meter power-on loading correction method |
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Application publication date: 20110119 Assignee: Shenzhen Wismei Technology Co.,Ltd. Assignor: Wasion Group Co., Ltd. Contract record no.: 2013440020314 Denomination of invention: Method for remotely and dynamically monitoring electric energy metering load Granted publication date: 20120711 License type: Exclusive License Record date: 20131112 |
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