CN106682383A - Accurate statistical processing method for collected meter code values in metering system - Google Patents

Accurate statistical processing method for collected meter code values in metering system Download PDF

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Publication number
CN106682383A
CN106682383A CN201610473697.3A CN201610473697A CN106682383A CN 106682383 A CN106682383 A CN 106682383A CN 201610473697 A CN201610473697 A CN 201610473697A CN 106682383 A CN106682383 A CN 106682383A
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table code
code value
value
mutation
zero
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CN201610473697.3A
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CN106682383B (en
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解凯
谷峰
张长开
刘德贺
侍良栋
赵雁
姜彬
顾全
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NR Electric Co Ltd
NR Engineering Co Ltd
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NR Electric Co Ltd
NR Engineering Co Ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00Subject matter not provided for in other main groups of this subclass

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Abstract

The invention discloses an accurate statistical processing method for collected meter code values in a metering system. The accurate statistical processing method includes 1, setting a collection time interval; 2, acquiring a sequence of all original meter code values; 3, acquiring an initial value; 4, comparing a meter code value with a next meter code value; 5, judging whether the current meter code value is the last meter code value or not, if yes, entering 9, and if not, entering 6; 6, if the meter code value is smaller than the next meter code value, entering 4, and if not, entering 7; 7, performing temporary statistics, and entering 8; 8, in case of meter code inversion or manual reset, setting a meter code initial value corresponding to the mutation time quantum as zero, and entering 4; in case of communication failure, removing numerical values smaller than last meter code values before mutation, setting the meter code initial value corresponding to the mutation time quantum as the last meter code value before mutation, and entering 4; 9, accumulating all temporary statistical results, adding the current value and subtracting the meter code initial value of the sub-segment to output a metering value.

Description

To the accurate statistical processing methods of acquisition tables code value in a kind of metering system
Technical field
The present invention relates to the accurate statistical processing methods of acquisition tables code value in a kind of metering system.
Background technology
As shown in figure 1, the data communication flow process of industrial energy metering system includes:Industrial energy metering system software deployment In the information centre of industrial undertaking or the computer server at energy conservation center, by sides such as optical fiber, wireless, Ethernets Formula passes through again with the power measurement acquisition gateway communication for being distributed in each scene and energy instrument room, each power measurement acquisition gateway Fieldbus and energy meter communication nearby.The protocol conversion for so being communicated by two-stage, from the energy meter to energy measurement Acquisition gateway, then to Energy Consumed Statistic System software, every certain time interval, system can gather the table code of industrial instrument meter Value (numerical value of gauge table) is stored in historical data base, based on initial data, statistical procedure can process these data, according to when Between and table code calculating intervals, the such as continuous data within hour, day, the moon, week, season, year.
Various industrial energy meters, such as ammeter, water meter, gas meter, hotlist (heat meter), as energy usage is constantly tired out Long-pending, under normal circumstances it gathers the numerical characteristics of the table code data come up or constantly increases over time, or due to Scene keeps constant without consumption.Quantitative statisticses program will calculate the energy measurement consumption in interval of time, process side Method is:The table code value and the table code value of end time of time started in this period are obtained, then by the table code value of end time The table code value of time started is deducted, this difference should be under normal circumstances the data more than or equal to zero, as this time Energy measurement volume value, as shown in Figure 2.
But in the industrial environment of reality, the table code data come up of energy meter collection can undergo mutation the feelings of zero Condition, is mainly based upon following several reasons:(1) table code has arrived at the full code value of the maximum number of digits of meter, automatically generates reversion, Table code is zeroed;(2) artificial situation about resetting, it may be possible to the clearing of handing over to the next shift between teams and groups, or scene meter failure changed; (3) disconnection fault of communication failure or energy resource collecting gateway, during this period of time makes metering system software to collect table Code data, do return-to-zero.
If statistical procedure is needing to be there occurs in the time period to be processed the situation of above-mentioned mutation zero data, according to routine There will be two kinds of situations for processing method:The first situation as shown in figure 3, the reversion of above-mentioned table code and it is artificial reset in the case of, The table code of end time period is to restart to increase from after zero, deducts the table code of time started, obtains a result or is negative Count, or end time table code has been risen to than start-up schedule code greatly, is positive number after subtracting each other, but this is to have measured meter Increase again after table code zero and used with the energy measurement of moment to statistics this period of end time of segment table code-phase etc. when starting Amount, and increase again after zero and this period at moment of segment table code-phase etc. when starting from the statistics time started to meter table code But without statistical metering, the result for so drawing is the numerical value less than actual energy usage for metering;Another kind of situation such as Fig. 4 institutes Show, in the case of communication failure or energy resource collecting gateway power-off, in failure, table code is always zero, if at the end of statistics Between failure it is recovered, table code is back to normal, and so deducting start-up schedule code with end time table code can obtain normal value, but Be likely to until the table code of statistical time range end time is still zero, deduct the table code of period start time, obtain a result for Negative.
In existing industrial energy measuring software for above-mentioned zero mutation wrong data cannot normal process, occur The statistical data of mistake, its processing method afterwards is input in systems table code reversion log often by manual record Code, the system changed meter log code, reset meter log code and then trigger the data base of statistical updating again of measuring software Evaluation, or direct labor's amendment wrong data.But as industrial undertaking increasingly payes attention to energy management work, management is got over More to refine, constantly strengthen energy meter and install and gage work, level of factory, workshop level critical point energy meter are covered with substantially Deployment, conditional industrial undertaking also covers the deployment of the higher device level energy meter of energy consumption.So industrial energy metering The data of system energy meter to be processed are also just more and more, for recurrent meter zero mutation wrong data, energy Source statistical metering personnel often can only artificial correction be used to settling accounts factory, the accidental data of workshop level critical point energy meter, and for The accidental data of more device level energy meters, then cannot one by one change correction by artificial method, thus cannot and When obtain accurate energy usage, can to industrial undertaking become more meticulous energy conservation and Energy Efficiency Analysis bring error.
The content of the invention
For the problems referred to above, the present invention is provided in a kind of metering system to the accurate statistical processing methods of acquisition tables code value, Overcome cannot effectively automatically processing for table code value mutation zero for existing metering system statistical procedure presence, it is necessary to artificial correction Problem and defect, there is provided a kind of code value of identification analytical table automatically mutation zero situation, and reject the metering for processing error information Statistical method, improves the degree of accuracy of statistics.
To realize above-mentioned technical purpose, above-mentioned technique effect is reached, the present invention is achieved through the following technical solutions:
To the accurate statistical processing methods of acquisition tables code value in a kind of metering system, it is characterised in that comprise the steps:
Step 1, time interval T that system calling acquisition instrument table code data are set, T≤instrument minimum statistics time interval 1/10;
Step 2, the head and the tail time for being input into the period to be counted, according to statistical time range, according to acquisition time order this when is obtained All original table code value sequences in section;
Step 3, the table code initial value for obtaining the period to be counted;
Step 4, current table code value is compared with next table code value;
Step 5, judge that whether current table code value is last table code value of period to be counted, if yes then enter step 9, if not then into step 6;
If step 6, current table code value are less than next table code value, the next table code value of order is current table code value, is entered Step 4, otherwise, judgement occurs in that the situation of mutation zero, into step 7;
Step 7, by mutation before, time period of not undergoing mutation corresponding subsegment table code carry out temporary statistics, record to should The temporary statistics result of subsegment, into step 8, judges the type of mutation zero;
If step 8, the type for belonging to the reversion of table code or artificial clearing, by the corresponding table code initial value of the mutation time section 0 is set to, into step 4;If belonging to the type of communication failure, reject it is all less than mutation before last table code value number Value, is set to the last table code value before being mutated, into step 4 by the corresponding table code initial value of the mutation time section;
Step 9, cumulative all temporary statistics results, along with currency deducts this subsegment table code initial value, export and wait to unite The variable of timing section.
It is preferred that, in step 8, judge comprising the following steps that for the type that mutation is zeroed:
A last the table code value before zero) is recorded, continuation gathers backward follow-up table code value, until collecting weight Newly start N number of table code value of continuous growth;
B) N number of table code value is averaged, and with step A) record zero before last table code value compared with;
C) if last the table code value before zero is judged as belonging to the reversion of table code more than the meansigma methodss of N number of table code value Or the artificial type for resetting, otherwise, it is judged as belonging to the type of communication failure.
The invention has the beneficial effects as follows:
Compared with prior art, change and only take the method that statistical time range tail head table code-phases subtract, but take in measurement period Multiple table code values increase statistical samples carries out comparing two-by-two for before and after table code value, so can, level Four a large amount of three with automatic decision (set Standby level) industrial instrument metering data it is daily artificial clearing for several times and the reversion of table code, the situation of communication failure all may occur, So as to take different statistical disposition strategies.On the one hand the consumption statistical accuracy that industrial instrument is measured is ensure that, on the other hand Numerous and diverse manual maintenance and the work for screening data are changed to into automated procedures process, enterprise measurement management and energy system is improve Meter work efficiency, improves the degree of accuracy of statistics.
Description of the drawings
Fig. 1 is the deployment of industrial energy metering system and gathered data flow graph;
Fig. 2 is that under normal circumstances statistical procedure is shown in the schematic diagram for obtaining variable according to the tail head table code-phases of statistical time range;
Fig. 3 is the schematic diagram of the reversion of generation table code or artificial situation about resetting in statistical time range;
Fig. 4 is the schematic diagram of the situation that communication failure occurs in statistical time range;
Fig. 5 is the determination methods schematic diagram to the reversion of generation table code or artificial situation about resetting in statistical time range;
Fig. 6 is the determination methods schematic diagram of the situation to there is communication failure in statistical time range;
Fig. 7 is the flow chart in a kind of metering system of the invention to the accurate statistical processing methods of acquisition tables code value.
Specific embodiment
Below in conjunction with the accompanying drawings technical solution of the present invention is described in further detail with specific embodiment, so that ability The technical staff in domain can be better understood from the present invention and can be practiced, but illustrated embodiment is not as the limit to the present invention It is fixed.
To the accurate statistical processing methods of acquisition tables code value in a kind of metering system, as described in Figure 6, comprise the steps:
Step 1, time interval T that system calling acquisition instrument table code data are set, T≤instrument minimum statistics time interval 1/10.The sample frequency of higher energy meter table code is set in industrial energy metering system, between the time of its sampling Every to be less than the 1/10 of minimum statistics time interval, the minimum energy measurement statistical unit that such as certain meter is required is hour, then its The sampling time interval of table code is 6 minutes or less, so in arbitrary hour timing statisticses section, can there is at least 10 tables Code record is transfused to the investigation of statistical disposition program.
Step 2, the head and the tail time for being input into the period to be counted, according to statistical time range, according to acquisition time order this when is obtained All original table code value sequences in section.According to statistical time range initial time, obtain all table code collection values in the period and Acquisition time, according to collection value time sequencing, will be divided into the less statistical time range of sample period lengths in big statistical time range.
It is preferred that, outside obtaining comprising all table codes records in this statistical time range, increase to previous statistical time range and to The acquisition of the table code record of latter statistical time range.When so obtaining previous statistical time range, this period, latter statistics in advance Section all original table code value sequence datas in totally 3 sections of periods, during in case the statistical time range head and the tail time running into zero accidental data Increase data analysiss to be judged.
Step 3, the table code initial value for obtaining the period to be counted.
Step 4, current table code value is compared with next table code value.Table code value compares before and after this step is carried out two-by-two, When rear timetable code value (referred to as then be worth) is more than front timetable code value (value before referred to as), it is believed that current front value effectively, then after It is continuous to investigate backward;When value is less than front value after running into, it is believed that run into mutation zero.
Step 5, judge that whether current table code value is last table code value of period to be counted, if yes then enter step 9, if not then into step 6.
If step 6, current table code value effectively, then continue to investigate backward less than next table code value, current table code value, its It is middle to make the current table code value that current next table code value is next comparison loop, into step 4, otherwise, judge to occur in that The situation of mutation zero, into step 7.
Step 7, by mutation before, time period of not undergoing mutation corresponding subsegment table code carry out temporary statistics, record to should The temporary statistics result of subsegment, into step 8, judges the type of mutation zero.
It should be noted that, due to the period to be counted be mutated zero number of times it is unknowable, therefore the period to be counted be mutated zero Situation divide into several subsegments, time period of each subsegment correspondence single mutation or the time period do not undergone mutation, its In time period for not undergoing mutation, according to conventional statistical method, the table code value of end time in the time period is deducted into beginning The table code value of time is used as temporary statistics result.
If step 8, the type for belonging to the reversion of table code or artificial clearing, by the corresponding table code initial value of the mutation time section 0 is set to, into step 4;If belonging to the type of communication failure, reject it is all less than mutation before last table code value number Value, is set to the last table code value before being mutated, into step 4 by the corresponding table code initial value of the mutation time section;
Step 9, cumulative all temporary statistics results, along with currency deducts this subsegment table code initial value, export and wait to unite The variable of timing section.
How normal artificial situation about resetting with table code reversion or improper communication failure is accurately judged, for system Different processing paths are had in meter routine processes, very big difference is brought.Specifically determination methods are:
A last the table code value before zero) is recorded, continuation gathers backward follow-up table code value, until collecting weight Newly start N number of table code value of continuous growth;
B) N number of table code value is averaged, and with step A) record zero before last table code value compared with;
C) if last the table code value before zero is judged as belonging to the reversion of table code more than the meansigma methodss of N number of table code value Or the artificial type for resetting, otherwise, it is judged as belonging to the type of communication failure, it is zero that table code misses collection, by these communication failures Data reject after with zero before data merges, then unify processed.
As it can be seen in figures 5 and 6, it is preferred that, N=3 takes the determination methods of the meansigma methodss of continuous 3 table codes, is to prevent communication event After barrier recovers, when continuous data just starts to upload, the data of generation change up and down shake, allow the situation of program erroneous judgement.
There is mutation zero in table code near the close time started and end time of this statistical time range, then expand examination Scope, therefore, can obtain according to acquisition time order:
There is mutation zero when the time started of this period, then according to the original table code value of the previous statistical time range for obtaining To judge to be mutated the type of zero;
There is mutation zero when the end time of this period, then according to the original table code value of the latter statistical time range for obtaining To judge to be mutated the type of zero.
Last table code value in the complete statistical time range of routine processes, by by each subsegment metering split in the case of mutation zero Intermediate result added up (if the situation of zero is not mutated whole statistical time range be 1 whole period), finally draw Metered amount value in this statistical time range.
Compared with prior art, change and only take the method that statistical time range tail head table code-phases subtract, but take in measurement period Multiple table code values increase statistical samples carries out comparing two-by-two for before and after table code value, so can, level Four a large amount of three with automatic decision (set Standby level) industrial instrument metering data it is daily artificial clearing for several times and the reversion of table code, the situation of communication failure all may occur, So as to take different statistical disposition strategies.On the one hand the consumption statistical accuracy that industrial instrument is measured is ensure that, on the other hand Numerous and diverse manual maintenance and the work for screening data are changed to into automated procedures process, enterprise measurement management and energy system is improve Meter work efficiency, improves the degree of accuracy of statistics.
The preferred embodiments of the present invention are these are only, the scope of the claims of the present invention is not thereby limited, it is every using this Equivalent structure or equivalent flow conversion that bright description and accompanying drawing content are made, or directly or indirectly it is used in other correlations Technical field, be included within the scope of the present invention.

Claims (4)

1. to the accurate statistical processing methods of acquisition tables code value in a kind of metering system, it is characterised in that comprise the steps:
Step 1, time interval T that system calling acquisition instrument table code data are set, the 1/ of T≤instrument minimum statistics time interval 10;
Step 2, the head and the tail time for being input into the period to be counted, according to statistical time range, obtain in this period according to acquisition time order All original table code value sequences;
Step 3, the table code initial value for obtaining the period to be counted;
Step 4, current table code value is compared with next table code value;
Step 5, judge that whether current table code value is last table code value of period to be counted, if yes then enter step 9, such as Fruit is not then to enter step 6;
If step 6, current table code value are less than next table code value, the next table code value of order is current table code value, into step 4, otherwise, judgement occurs in that the situation of mutation zero, into step 7;
Step 7, by mutation before, time period of not undergoing mutation corresponding subsegment table code carry out temporary statistics, record to should subsegment Temporary statistics result, into step 8, judge the type of mutation zero;
If step 8, the type for belonging to the reversion of table code or artificial clearing, the corresponding table code initial value of the mutation time section is arranged For 0, into step 4;If belonging to the type of communication failure, reject it is all less than mutation before last table code value numerical value, will The corresponding table code initial value of the mutation time section is set to the last table code value before being mutated, into step 4;
Step 9, cumulative all temporary statistics results, along with currency deducts this subsegment table code initial value, when exporting to be counted The variable of section.
2. to the accurate statistical processing methods of acquisition tables code value, its feature in a kind of metering system according to claim 1 It is in step 8, to judge comprising the following steps that for the type that mutation is zeroed:
A last the table code value before zero) is recorded, continuation gathers backward follow-up table code value, until collect opening again Begin the continuous N number of table code value for increasing;
B) N number of table code value is averaged, and with step A) record zero before last table code value compared with;
C) if last the table code value before zero is judged as belonging to the reversion of table code or people more than the meansigma methodss of N number of table code value The type that work resets, otherwise, is judged as belonging to the type of communication failure.
3. to the accurate statistical processing methods of acquisition tables code value, its feature in a kind of metering system according to claim 2 It is, N=3.
4. to the accurate statistical processing methods of acquisition tables code value, its feature in a kind of metering system according to claim 3 It is to obtain previous statistical time range, this period, latter statistical time range totally 3 sections of periods according to acquisition time order in step 2 Interior all original table code value sequences:
There is mutation zero when the time started of this period, then according to the original table code value of the previous statistical time range for obtaining sentencing The type of disconnected mutation zero;
There is mutation zero when the end time of this period, then according to the original table code value of the latter statistical time range for obtaining sentencing The type of disconnected mutation zero.
CN201610473697.3A 2016-06-24 2016-06-24 To the accurate statistical processing methods of acquisition tables code value in a kind of metering system Expired - Fee Related CN106682383B (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109189791A (en) * 2018-09-07 2019-01-11 国电南瑞科技股份有限公司 A kind of electric quantity data acquisition processing method suitable for ammeter movability
CN110244096A (en) * 2019-06-20 2019-09-17 国电南瑞科技股份有限公司 Code is expired to ammeter in a kind of electric energy metering system and finds method with processing automatically
CN111737286A (en) * 2020-05-25 2020-10-02 清远博依特智能科技有限公司 Meter reset judging method and device and storage medium
CN111782178A (en) * 2020-05-25 2020-10-16 清远博依特智能科技有限公司 Monthly energy consumption calculation method and device and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101458276A (en) * 2007-12-11 2009-06-17 深圳市科陆电子科技股份有限公司 Electric quantity computation method and apparatus and electric meter controlling equipment
US8078567B1 (en) * 2008-12-31 2011-12-13 John Cadick System and method for condition based maintenance for electrical equipment
CN103941207A (en) * 2014-03-03 2014-07-23 广州供电局有限公司 Electric power measurement automation terminal detection method and system
CN105468662A (en) * 2014-12-31 2016-04-06 深圳市中电电力技术股份有限公司 Energy consumption data processing method and system based on table-code value

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101458276A (en) * 2007-12-11 2009-06-17 深圳市科陆电子科技股份有限公司 Electric quantity computation method and apparatus and electric meter controlling equipment
US8078567B1 (en) * 2008-12-31 2011-12-13 John Cadick System and method for condition based maintenance for electrical equipment
CN103941207A (en) * 2014-03-03 2014-07-23 广州供电局有限公司 Electric power measurement automation terminal detection method and system
CN105468662A (en) * 2014-12-31 2016-04-06 深圳市中电电力技术股份有限公司 Energy consumption data processing method and system based on table-code value

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109189791A (en) * 2018-09-07 2019-01-11 国电南瑞科技股份有限公司 A kind of electric quantity data acquisition processing method suitable for ammeter movability
CN109189791B (en) * 2018-09-07 2022-07-19 国电南瑞科技股份有限公司 Electric quantity data acquisition and processing method suitable for ammeter to move easily
CN110244096A (en) * 2019-06-20 2019-09-17 国电南瑞科技股份有限公司 Code is expired to ammeter in a kind of electric energy metering system and finds method with processing automatically
CN110244096B (en) * 2019-06-20 2021-06-04 国电南瑞科技股份有限公司 Method for automatically discovering and processing electric meter full code in electric energy metering system
CN111737286A (en) * 2020-05-25 2020-10-02 清远博依特智能科技有限公司 Meter reset judging method and device and storage medium
CN111782178A (en) * 2020-05-25 2020-10-16 清远博依特智能科技有限公司 Monthly energy consumption calculation method and device and storage medium
CN111737286B (en) * 2020-05-25 2023-07-18 清远博依特智能科技有限公司 Meter resetting judgment method, device and storage medium
CN111782178B (en) * 2020-05-25 2024-06-07 清远博依特智能科技有限公司 Moon energy consumption calculation method, device and storage medium

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