CN107680368A - A kind of metering device on-line monitoring and intelligent diagnosing method based on gathered data - Google Patents
A kind of metering device on-line monitoring and intelligent diagnosing method based on gathered data Download PDFInfo
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- CN107680368A CN107680368A CN201710794458.2A CN201710794458A CN107680368A CN 107680368 A CN107680368 A CN 107680368A CN 201710794458 A CN201710794458 A CN 201710794458A CN 107680368 A CN107680368 A CN 107680368A
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- 238000005259 measurement Methods 0.000 claims abstract description 27
- 238000004458 analytical method Methods 0.000 claims abstract description 18
- 230000005611 electricity Effects 0.000 claims description 47
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- 238000000819 phase cycle Methods 0.000 claims description 11
- 238000003745 diagnosis Methods 0.000 claims description 10
- 238000009434 installation Methods 0.000 claims description 6
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- 238000000205 computational method Methods 0.000 claims description 3
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C25/00—Arrangements for preventing or correcting errors; Monitoring arrangements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R11/00—Electromechanical arrangements for measuring time integral of electric power or current, e.g. of consumption
- G01R11/02—Constructional details
- G01R11/25—Arrangements for indicating or signalling faults
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
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Abstract
The present invention relates to a kind of metering device on-line monitoring and intelligent diagnosing method based on gathered data, belong to on-line monitoring and intelligent diagnostics field, the present invention is by the way that user's energy data is analyzed, realize on-line monitoring and intelligent diagnostics, as by based on existing user model in sales service system, device model, circuit model, the basic model data such as electric network model, utilize metering device on-line monitoring and intelligent analytical model, the gathered data higher to real-time, from electric current, voltage, load, anomalous event etc. carries out data mining analysis, realize the on-line monitoring to metering device and the intelligent diagnostics to abnormal metering device, lift the efficiency of measurement equipment inspection, routing inspection cost is saved, reduce the grid loss triggered by metering device.
Description
Technical field
Invention is related to a kind of on-line monitoring and intelligent diagnostics field, more particularly to a kind of metering device based on gathered data
On-line monitoring and intelligent diagnosing method.
Technical background
Electric energy is one of important energy source of national product, accurately measures electric flux, and the supply and consumption for electric energy have
Important meaning, in today of economic reform, electric power meter it is whether accurate, be directly related to both sides of supply and demand economy profit
Benefit.So we should fair and reasonable metering electric flux to greatest extent, reducing error in dipping, (electric power meter includes：Electricity
Energy table, current transformer, voltage transformer etc.).Therefore put into the operation and maintenance process to metering device, power grid enterprises
Huge manpower and financial resources cost, therefore while metering device accuracy is lifted, reduce enterprise's input cost, thus may be used
See, ensure that the normal operation of metering device is particularly important, the currently monitoring to metering device and maintenance are mainly thrown by user
Tell and found with Daily Round Check, this mode pinpointed the problems is ageing poor, and general metering device inspection mainly relies on inspection
The experience of personnel and equipment routing inspection cycle formulate, and do not possess the characteristic of emphasis inspection, with social development, electricity consumption user increases sharply
Artificial inspection can not increasingly meet require that, so needing a kind of new high-timeliness badly, the metering device of artificial less investment exists
Line monitors to be occurred with intelligent diagnosing method.
The content of the invention
The present invention is in order to solve the above problems, it is proposed that a kind of metering device on-line monitoring and intelligence based on gathered data
Diagnostic method, the present invention realize on-line monitoring and intelligent diagnostics, as led to by the way that user's energy data is analyzed
Cross based on basic model data such as existing user model, device model, circuit model, electric network models in sales service system,
Using metering device on-line monitoring and intelligent analytical model, the gathered data higher to real-time, from electric current, voltage, load, different
Ordinary affair part etc. carries out data mining analysis, realizes to the on-line monitoring of metering device and the intelligence of abnormal metering device is examined
It is disconnected, the efficiency of measurement equipment inspection is lifted, has saved routing inspection cost, reduces the grid loss triggered by metering device, specifically
Implementation process is as follows：
Step 1 by acquisition terminal obtain metering device day measurement point voltage curve data, day measurement point electric energy curve
Data, day measurement point phase angle curve data, day measurement point current curve data, day measurement point load curve data etc.；
Step 2 is based on metering device on-line monitoring and carries out abnormal data diagnostic analysis with intelligent diagnostics model, in the model
In by analyzing the total indicating value of electric energy meter and each tariff period indicating value, with reference to electric current, meter reading indicating value and day electric quantity change analysis, it is right
Phenomena such as electricity exception, electric voltage exception, current anomaly, load exception and clock exception, is judged；
Step 3 measuring equipment attendant is by observation analysis result, by analysis result it can be found that electric energy meter indicating value
Injustice, electric energy meter flies away, electric energy meter backward walking, electric energy meter stop walking, electric energy meter rate sets abnormal, the disconnected item of voltage, voltage out-of-limit, electricity
Pressure is unequal abnormal, is examined on the spot, screened for there is abnormal equipment, if need not be carried out on the spot to measuring equipment
Adjustment, then by management through quantification corresponding software on-line tuning measuring equipment parameter, correct the problem of metering device is present；
Step 4 if necessary to measuring equipment attendant transform or adjust on the spot, by sending work flow to carry out sending work
Maintenance；
The step 2 is based on metering device on-line monitoring and carries out abnormal data diagnostic analysis method bag with intelligent diagnostics model
Include：Electricity abnormality diagnostic method, voltage x current abnormality diagnostic method, abnormal electricity consumption diagnostic method, load abnormality diagnostic method, when
Clock abnormality diagnostic method, take control abnormality diagnostic method；
In the step 2, electricity abnormality diagnostic method is：
A. electric energy meter indicating value it is uneven calculate in electric energy meter freezing data it is positive/negative to active energy indicating value with positive/negative to active
The difference of each rate indicating value sum, judges whether the absolute value of difference is more than " rate number × K "；Exclude positive/negative to active energy
Indicating value is the situation that 0 or forward and reverse active each rate indicating value sum is 0；
K preferred values are 0.01；
B. electric energy meter fly away electric energy meter day electricity with user's day may maximum power consumption ratio be more than threshold k；
Day, possible maximum power consumption computational methods were optional：
I max U n 24h
K preferred values are 60%；
C. electric energy meter backward walking specially becomes user and low voltage three-phase user judges that day is positive/negative to active total electric energy indicating value, forward direction
(combination) is idle, and total electric energy indicating value is less than the previous day indicating value；
The single-phase user of low pressure judges day positive active total electric energy indicating value and reversely active total electric energy indicating value is shown less than the previous day
Value；
D, electric energy meter stops walking in electric energy meter 2 days the day positive/negative difference to active total electric energy indicating value and is equal to 0, and in the period
Monitor that three-phase current arbitrarily mutually there are 3 points to be more than 0.1A；
E. electric energy meter rate sets the abnormal parameter set according to main website, contrasts electrical energy meter electricity energy indicating value, judges electric energy meter
Whether the indicating value for being not provided with rate is not 0；
In the step 2, voltage x current abnormality diagnostic method is：
A. the disconnected phase of electric sampling open-phase phase three-wire three：Any phase voltage is less than K* reference voltages in AC phases, and another phase voltage is not
Less than K* reference voltages；
Three-phase and four-line breaks phase：Any phase voltage is less than K* reference voltages, and any phase voltage is not less than in another two-phase voltage
K* reference voltages；
One day domestic demand monitors multiple points (daily 3 points of acquiescence).If monitor that electric energy meter or terminal have voltage simultaneously
Phase of breaking event, the disconnected mutually exception of voltage is generated at once, data diagnosis requirement otherwise should be satisfied by for three days on end and just generate exception；
K preferred values are 60%；
B. any phase voltage of voltage out-of-limit is more than K1* reference voltages, or any phase voltage less than K2* reference voltages and
Not less than K3* reference voltages；
One day domestic demand monitors multiple points (daily 3 points of acquiescence), if monitoring that electric energy meter or acquisition terminal have simultaneously
Voltage out-of-limit event, voltage out-of-limit exception is generated at once, otherwise should be satisfied by data diagnosis requirement for three days on end and just generate exception.
It is recommended that K1 is 110%, K2 90%, K3 60%, K4 120%, K5 80%；
The more upper limit：Voltage range [K1, K4) reference voltage；
More lower limit：Voltage range (K5, K2] reference voltage；
The upper limit：Voltage is not less than K4 reference voltages；
More lower lower limit：Voltage range (K3, K5] reference voltage；
C. in the case that each phase voltage of Voltage unbalance is all higher than 0, according to (three-phase voltage maximum-minimum value)/most
Big value calculates Voltage unbalance rate, judges whether out-of-limit；
The situation of the disconnected mutually exception of voltage need to first be excluded；
One day domestic demand monitors multiple points, and continuous monitoring is satisfied by data diagnosis requirement for more days and just generates abnormal (acquiescence
Daily 10 points, for three days on end)；
D. massive quantity power supply and measurement B phases are abnormal
Metering method：Massive quantity power supply and measurement
The mode of connection：Phase three-wire three
Electric energy meter for meeting conditions above judges whether that B phase voltages are more than the feelings that 0 or B phase currents are not equal to 0
Condition；
Multiple points (daily 5 points of acquiescence) are monitored in one day；
In the step 2, abnormal useful electrodiagnosis method is：
A. electric energy meter cover opening reading power meters status word, judge：Electric energy meter cover opening time and electric energy meter set-up time difference
More than time threshold；
Normal electric energy meter cover opening, such as the situation of first installation and normal work order are excluded, excludes temporal logic mistake of uncapping
Situation；
Time threshold suggestion is 1 day；
B. measuring gate opening and closing reading terminals quantity of state displacement record, judges：Measuring gate opening time and set-up time difference
More than time threshold；
Normal measuring gate opening and closing, such as the situation of first installation and normal work order are excluded, measuring gate opening/closing time is excluded and patrols
Collect the situation of mistake；
Time threshold suggestion is 1 day；
C. interference electric energy meter in stationary magnetic field produces stationary magnetic field interference incident record；
The step 2 load abnormality diagnostic method is：
A. the super appearance of requirement judges whether the requirement of electric energy meter exceeds the contract capacity of user, calculates the ratio of requirement and capacity
Whether value is beyond restriction threshold k；
K suggests point 3 grades, and acquiescence K1 is 80%, K2 110%, K3 130%；
B. any phase current of overcurrent is more than K*Imax；
N number of point is monitored in one day, if monitoring that electric energy meter or acquisition terminal have stream out-of-limit event simultaneously, is generated at once
It is abnormal, generated after otherwise monitoring for three days on end abnormal；
Exclude the situation of the super transformer capacity of load；
N is defaulted as at 10 points；
K suggests point 3 grades, and acquiescence K1 is 100%, K2 120%, K3 150%；
In the step 2, clock abnormality diagnostic method is：
A. terminal clock Anomaly standard time and the absolute value of terminal calendar clock difference exceed threshold k；
K suggests span 1min~15min；
B. clock of power meter abnormal (standard time-terminal calendar clock)+(during terminal meter reading during m- electric energy meter calendar
Clock) absolute value exceed threshold k；
Either terminal generates electric energy meter time overproof event, and normal (deviation ＜ ± 1 point of clock of terminal
Clock) or the absolute value of standard time and electric energy meter calendar clock difference exceed threshold k；K suggests span 3min~15min；
In the step 2, expense control abnormality diagnostic method is：
A. reversely active total indicating value is more than 0 to reverse electricity exception electric energy meter, and the same day reverse electricity is more than threshold k；
The above judges that the user or client for possessing power generation characteristics need to be excluded extremely；
K preferred values are 1kWh；
B. the absolute value of the total active power of phase sequence exception electric energy meter and the total active power difference of terminal and the total wattful power of terminal
The ratio of rate is more than threshold k, and phase sequence does not occur and is then judged to electric energy meter phase sequence exception extremely for terminal；
K preferred values are 10%；
C. the number that negative value occur in trend reverse current or power curve data is more than the threshold k set；
K preferred values is 6 times a day；
Metering device on-line monitoring and intelligent diagnostics are realized in aforementioned manners.
Beneficial effect compared with prior art：The on-line monitoring and intelligent diagnostics of measuring equipment abnormality are realized, is carried
Measuring equipment operation maintenance personnel and the operating efficiency of maintainer are risen, warping apparatus can be accurately positioned, saves manually outgoing core
Look into cost.
Brief description of the drawings
Fig. 1 metering devices are monitored on-line and intelligent diagnostics flow chart
Fig. 2 metering devices are monitored on-line and intelligent diagnostics structure chart
Fig. 3 metering devices are monitored on-line and intelligent diagnosing method schematic diagram
Specific embodiment：
The present invention is in order to solve the above problems, it is proposed that a kind of metering device on-line monitoring and intelligence based on gathered data
Diagnostic method, the present invention realize on-line monitoring and intelligent diagnostics, as led to by the way that user's energy data is analyzed
Cross based on basic model data such as existing user model, device model, circuit model, electric network models in sales service system,
Using metering device on-line monitoring and intelligent analytical model, the gathered data higher to real-time, from electric current, voltage, load, different
Ordinary affair part etc. carries out data mining analysis, realizes to the on-line monitoring of metering device and the intelligence of abnormal metering device is examined
It is disconnected, the efficiency of measurement equipment inspection is lifted, has saved routing inspection cost, reduces the grid loss triggered by metering device.Specifically
Implementation process is as follows：
Step 1 by acquisition terminal obtain metering device day measurement point voltage curve data, day measurement point electric energy curve
Data, day measurement point phase angle curve data, day measurement point current curve data, day measurement point load curve data etc.；
Step 2 is based on metering device on-line monitoring and carries out abnormal data diagnostic analysis with intelligent diagnostics model, in the model
In by analyzing the total indicating value of electric energy meter and each tariff period indicating value, with reference to electric current, meter reading indicating value and day electric quantity change analysis, it is right
Phenomena such as electricity exception, electric voltage exception, current anomaly, load exception and clock exception, is judged；
Step 3 measuring equipment attendant is by observation analysis result, by analysis result it can be found that electric energy meter indicating value
Injustice, electric energy meter flies away, electric energy meter backward walking, electric energy meter stop walking, electric energy meter rate sets abnormal, the disconnected item of voltage, voltage out-of-limit, electricity
Pressure is unequal abnormal, is examined on the spot, screened for there is abnormal equipment, if need not be carried out on the spot to measuring equipment
Adjustment, then by management through quantification corresponding software on-line tuning measuring equipment parameter, correct the problem of metering device is present；
Step 4 if necessary to measuring equipment attendant transform or adjust on the spot, by sending work flow to carry out sending work
Maintenance；
The step 2 is based on metering device on-line monitoring and carries out abnormal data diagnostic analysis method bag with intelligent diagnostics model
Include：Electricity abnormality diagnostic method, voltage x current abnormality diagnostic method, abnormal electricity consumption diagnostic method, load abnormality diagnostic method, when
Clock abnormality diagnostic method, take control abnormality diagnostic method；
In the step 2, electricity abnormality diagnostic method is：
A. electric energy meter indicating value it is uneven calculate in electric energy meter freezing data it is positive/negative to active energy indicating value with positive/negative to active
The difference of each rate indicating value sum, judges whether the absolute value of difference is more than " rate number × K "；Exclude positive/negative to active energy
Indicating value is the situation that 0 or forward and reverse active each rate indicating value sum is 0；
K preferred values are 0.01；
Electric energy indicating value information in electric energy meter is obtained by data signal, electric energy indicating value information is brought into equation below
Row electric energy meter indicating value is uneven to be judged, if following equation is set up, electric energy tabular value is uneven；
(1)|PAP_R-(PAP_R1+PAP_R2+…+PAP_Rn)|>Rate number * K, PAP_R show for positive active total electric energy
Value, PAP_Rn are positive active rate n electric energy indicating values, and n is positive active rate number, K 0.01；
(2)|RAP_R-(RAP_R1+RAP_R2+…+RAP_Rn)|>Rate number * K, RAP_R show for reversely active total electric energy
Value, RAP_Rn are reverse active rate n electric energy indicating values, and n is positive active rate number, K 0.01；
B. electric energy meter fly away electric energy meter day electricity with user's day may maximum power consumption ratio be more than threshold k；
Day, possible maximum power consumption computational methods were optional：
I max U n 24h
K preferred values are 60%；
Day information about power in electric energy meter is obtained by data signal, day information about power is brought into electricity is carried out in equation below
Can table fly away judgements, if following equation establishment, electric energy meter fly away；
PAP_E/PAP_E(max)>K, wherein PAP_E are electric energy meter day electricity, and PAP_E (max) is that user's day may be maximum
Power consumption, K are threshold value；
C. electric energy meter backward walking specially becomes user and low voltage three-phase user judges that day is positive/negative to active total electric energy indicating value, forward direction
(combination) is idle, and total electric energy indicating value is less than the previous day indicating value；
The single-phase user of low pressure judges day positive active total electric energy indicating value and reversely active total electric energy indicating value is shown less than the previous day
Value；
The positive/negative to before total electric energy indicating value and Query Dates of the same day (inquiry day) electric energy meter is obtained directly from database table
The electric energy meter of one day it is positive/negative to total electric energy indicating value, information will be obtained and bring equation below into, if the same day (inquiry day) electric energy meter
It is positive/negative to total electric energy indicating value<Positive/negative to total electric energy indicating value, the then electric energy meter backward walking of the electric energy meter of Query Dates the previous day；
(1) PAP_R (same day)<PAP_R (proxima luce (prox. luc)), wherein PAP_R are positive active gross energy indicating value；
(2) RAP_R (same day)<RAP_R (proxima luce (prox. luc)), wherein RAP_R are reverse active gross energy indicating value；
(3) RP (same day)<RP (proxima luce (prox. luc)), wherein RP are positive (combination) reactive energy indicating value；
D, electric energy meter stops walking in electric energy meter 2 days the day positive/negative difference to active total electric energy indicating value and is equal to 0, and in the period
Monitor that three-phase current arbitrarily mutually there are 3 points to be more than 0.1A；
The positive/negative to active total electric energy indicating value and the three-phase current data letter of ammeter of electric energy meter is obtained from database
Breath, by electric energy indicating value information and current data information bring into equation below carry out electric energy meter stop walking judgement, if following equation into
Vertical, then electric energy meter stops walking；
PAP_R (same day)+PAP_R (proxima luce (prox. luc))=0AND RAP_R (same day)+RAP_R (proxima luce (prox. luc))=0AND (IA>
0.1OR IB>0.1OR IC>0.1), wherein PAP_R is positive active gross energy indicating value, and wherein RAP_R is reverse active total energy
Indicating value is measured, IA is A item current values, and IB is B item current values, and IC is C item current values；
E. electric energy meter rate sets the abnormal parameter set according to main website, contrasts electrical energy meter electricity energy indicating value, judges electric energy meter
Whether the indicating value for being not provided with rate is not 0；
The rate information of electric energy meter is obtained from database, brings rate information into equation below, if formula is set up,
Electric energy meter rate sets abnormal；P rate=0, wherein P rates are rate value；
In the step 2, voltage x current abnormality diagnostic method is：
A. the disconnected phase of electric sampling open-phase phase three-wire three：Any phase voltage is less than K* reference voltages in AC phases, and another phase voltage is not
Less than K* reference voltages；
Three-phase and four-line breaks phase：Any phase voltage is less than K* reference voltages, and any phase voltage is not less than in another two-phase voltage
K* reference voltages；
One day domestic demand monitors multiple points (daily 3 points of acquiescence).If monitor that electric energy meter or terminal have voltage simultaneously
Phase of breaking event, the disconnected mutually exception of voltage is generated at once, data diagnosis requirement otherwise should be satisfied by for three days on end and just generate exception；
K preferred values are 60%；
Obtained by data-signal, electric energy meter electric energy meter information of voltage, bring equation below into, broken if setting up for voltage
Phase；
Phase three-wire three formula：UA<K*U OR UC<K*U, wherein UA are electric energy meter A phase voltages, and UC is electric energy meter C phases electricity
Pressure, K is threshold value, and U is reference voltage；
Three-phase and four-line formula：((UA<K*U AND(UC>K*U OR UB>K*U)OR(UB<K*U AND(UC>K*U OR UA
>K*U)OR(UC<K*U AND(UA>K*U OR UB>K*U)), wherein UA is electric energy meter A phase voltages, and UB is electric energy meter B phases electricity
Pressure, UC is electric energy meter C phase voltages, and K is threshold value, and U is reference voltage；
B. any phase voltage of voltage out-of-limit is more than K1* reference voltages, or any phase voltage less than K2* reference voltages and
Not less than K3* reference voltages；
One day domestic demand monitors multiple points (daily 3 points of acquiescence), if monitoring that electric energy meter or acquisition terminal have simultaneously
Voltage out-of-limit event, voltage out-of-limit exception is generated at once, otherwise should be satisfied by data diagnosis requirement for three days on end and just generate exception.
It is recommended that K1 is 110%, K2 90%, K3 60%,
K4 is 120%, K5 80%；
The more upper limit：Voltage range [K1, K4) reference voltage；
More lower limit：Voltage range (K5, K2] reference voltage；
The upper limit：Voltage is not less than K4 reference voltages；
More lower lower limit：Voltage range (K3, K5] reference voltage；
Obtained by data-signal, electric energy meter electric energy meter information of voltage, bring equation below into, got over if setting up for voltage
Limit；
More upper limit formula：U*K1<=UN<U*K4, wherein U are reference voltage, and K1 is 4 grades of threshold values, and K4 is 5 grades of threshold values, UN
For any one voltage in electric energy meter A, B, C phase；
More lower limit formula：U*K5<UN<=U*K2, wherein U are reference voltage, and K5 is 2 grades of threshold values, and K2 is 3 grades of threshold values, UN
For any one voltage in electric energy meter A, B, C phase；
Upper limit formula：U*K4<=UN, wherein U are reference voltage, and K4 is 5 grades of threshold values, and UN is electric energy meter A, B, C phase
In any one voltage；
More lower lower limit formula：U*K3<UN<=U*K5, wherein U are reference voltage, and K3 is 1 grade of threshold value, and K5 is 2 grades of threshold values,
UN is any one voltage in electric energy meter A, B, C phase；
C. in the case that each phase voltage of Voltage unbalance is all higher than 0, according to (three-phase voltage maximum-minimum value)/most
Big value calculates Voltage unbalance rate, judges whether out-of-limit；
The situation of the disconnected mutually exception of voltage need to first be excluded；
One day domestic demand monitors multiple points, and continuous monitoring is satisfied by data diagnosis requirement for more days and just generates abnormal (acquiescence
Daily 10 points, for three days on end)；
Obtained by data-signal, electric energy meter electric energy meter information of voltage, bring equation below into, if setting up for voltage not
Balance；
Voltage unbalance formula：(UMAX-UMIN)/UMAX<>0, wherein UMAX are in electric energy meter three-phase voltage, and voltage is most
A big phase voltage value, Umin are in energy table three-phase voltage；
D. massive quantity power supply and measurement B phases are abnormal
Metering method：Massive quantity power supply and measurement
The mode of connection：Phase three-wire three
Electric energy meter for meeting conditions above judges whether that B phase voltages are more than the feelings that 0 or B phase currents are not equal to 0
Condition；
Multiple points (daily 5 points of acquiescence) are monitored in one day；
Obtained by data-signal, electric energy meter electric energy meter information of voltage, bring equation below into, to be high for high if setting up
It is abnormal to count B phases；
The abnormal formula of massive quantity power supply and measurement B phases：UB>0OR UB<>0, wherein UB are the B phase voltages of electric energy meter；
In the step 2, abnormal electricity consumption diagnostic method is：
A. electric energy meter cover opening reading power meters status word, judge：Electric energy meter cover opening time and electric energy meter set-up time difference
More than time threshold；
Normal electric energy meter cover opening, such as the situation of first installation and normal work order are excluded, excludes temporal logic mistake of uncapping
Situation；
Time threshold suggestion is 1 day；
Directly obtained from database, electric energy meter cover opening time and set-up time, bring equation below into, be if setting up
Electric energy meter cover opening；Formula：|So-Ss|>1, wherein So are the electric energy meter cover opening time, and Ss is the set-up time, and So-Ss absolute value is smart
Really arrive day；
B. measuring gate opening and closing reading terminals quantity of state displacement record, judges：Measuring gate opening time and set-up time difference
More than time threshold；
Normal measuring gate opening and closing, such as the situation of first installation and normal work order are excluded, measuring gate opening/closing time is excluded and patrols
Collect the situation of mistake；
Time threshold suggestion is 1 day；
Directly from database, measuring gate opening time and set-up time are obtained, brings equation below into, be if setting up
Measuring gate is opened and closed；
Formula：|So-Ss|>1, wherein So are measuring gate opening time, and Ss is the set-up time, and So-Ss absolute value is accurate
To day；
C. interference electric energy meter in stationary magnetic field produces stationary magnetic field interference incident record；
Directly from database, interference incident record is obtained, if stationary magnetic field interference problem then be present；
The step 2 load abnormality diagnostic method is：
A. the super appearance of requirement judges whether the requirement of electric energy meter exceeds the contract capacity of user, calculates the ratio of requirement and capacity
Whether value is beyond restriction threshold k；
K suggests point 3 grades, and acquiescence K1 is 80%, K2 110%, K3 130%；
Directly from database, user's contract capacity information and electric energy meter requirement information are obtained, user's contract capacity is believed
Breath and electric energy meter requirement information bring equation below into, if formula is set up, the super appearance phenomenon of requirement be present；
Formula：L/P>K, wherein L are electric energy meter requirement, and P is user's contract capacity information, K be constant value (can be 80%,
110%th, 130%)；
B. any phase current of overcurrent is more than K*Imax；
N number of point is monitored in one day, if monitoring that electric energy meter or acquisition terminal have stream out-of-limit event simultaneously, is generated at once
It is abnormal, generated after otherwise monitoring for three days on end abnormal；
Exclude the situation of the super transformer capacity of load；
N is defaulted as at 10 points；
K suggests point 3 grades, and acquiescence K1 is 100%, K2 120%, K3 150%；
Directly from database, 96 points of the 3 phase current information and 96 points of current information of electric energy meter are obtained, electric current is believed
Breath brings equation below into, if formula is set up, overcurrent phenomenon be present；
Formula：
(1) same day judges：COUNT(In>K*MAX(Ion))>10, wherein In are any one phase in electric energy meter three-phase in 1 day
The current value of any time in 96, Ion is the energy value of 96 points of electric energy meter 1 ... in 1 day, and K is constant, can be defined as
100%th, 120% or 150%；
(2) judge within continuous three days：(COUNT1(In>K*MAX(Ion))+COUNT2(In>K*MAX(Ion))+COUNT3
(In>K*MAX(Ion)))>10, wherein In are the current value of any one phase any time in 96 in electric energy meter three-phase on the 1st, Ion
For the energy value of 96 points of electric energy meter 1 ... in 1 day, K is constant, can be defined as 100%, 120% or 150%, COUNT1
Statistical value on the one, COUNT2 is second day statistical value, and COUNT3 is statistical value on the 3rd；
In the step 2, clock abnormality diagnostic method is：
A. terminal clock Anomaly standard time and the absolute value of terminal calendar clock difference exceed threshold k；
K suggests span 1min~15min；
Obtained by data-signal, acquisition terminal is clock information, brings equation below into, if set up if be terminal when
Clock is abnormal；
Formula：|W-D|>15OR|W-D|<1, wherein W are terminal clock current time, and D is the standard time, and W-D's is absolute
Value is converted to minute level；
B. clock of power meter abnormal (standard time-terminal calendar clock)+(during terminal meter reading during m- electric energy meter calendar
Clock) absolute value exceed threshold k；
Either terminal generates electric energy meter time overproof event, and normal (deviation ＜ ± 1 point of clock of terminal
Clock) or the absolute value of standard time and electric energy meter calendar clock difference exceed threshold k；K suggests span 3min~15min；
By data-signal, obtain acquisition terminal is clock information, and the acquisition clock of power meter time brings equation below into,
It is abnormal for clock of power meter if setting up；
Formula：(|D-W|+|W-T|)<3OR(|D-W|+|W-T|)>15, wherein W are terminal clock current time, and D is mark
Between punctual, T is the electric energy meter time, and W-D and W-T absolute value are converted to minute level；
In the step 2, expense control abnormality diagnostic method is：
A. reversely active total indicating value is more than 0 to reverse electricity exception electric energy meter, and the same day reverse electricity is more than threshold k；
The above judges that the user or client for possessing power generation characteristics need to be excluded extremely；
K preferred values are 1kWh；
The active information and electricity in electric energy meter are obtained by data signal, brings active information and electricity into equation below
It is middle to carry out the judgement extremely of reverse electricity, if following equation is set up, for reverse electricity exception；
P>0AND Q>K, wherein P are reverse active total indicating value, and Q is reverse electricity, and K is constant；
B. the absolute value of the total active power of phase sequence exception electric energy meter and the total active power difference of terminal and the total wattful power of terminal
The ratio of rate is more than threshold k, and phase sequence does not occur and is then judged to electric energy meter phase sequence exception extremely for terminal；
K preferred values are 10%；
Total total active power information of active information and terminal in electric energy meter is obtained by data signal, respectively by electric energy meter
In total total active power information of active information and terminal bring into judging phase order carried out in equation below, if following equation is set up,
It is then abnormal for phase sequence；
|PT-PW|>K, wherein PT are total active power in electric energy meter, and PW is the total active power of terminal, and K is constant；
C. the number that negative value occur in trend reverse current or power curve data is more than the threshold k set；
K preferred values is 6 times a day；
The electric current and power curve data of electric energy meter are obtained directly from database, electric current and power curve data are brought into
Trend is carried out in equation below reversely to judge, it is reverse for trend if following equation is set up；Formula；COUNT(In<0)>6OR
COUNT(Pn<0)>6, wherein In be 1 ... 96 current curve numerical value, 96 power curve numerical value of Pn 1 ...；
Metering device on-line monitoring and intelligent diagnostics are realized in aforementioned manners.
Claims (8)
1. a kind of metering device on-line monitoring and intelligent diagnosing method based on gathered data, it is characterised in that including following step
Suddenly：
Step 1 by acquisition terminal obtain metering device day measurement point voltage curve data, day measurement point electric energy curve number
According to, day measurement point phase angle curve data, day measurement point current curve data, day measurement point load curve data etc.；
Step 2 is based on metering device on-line monitoring and carries out abnormal data diagnostic analysis with intelligent diagnostics model, leads in the model
The total indicating value of analysis electric energy meter and each tariff period indicating value are crossed, is analyzed with reference to electric current, meter reading indicating value and day electric quantity change, to electricity
Phenomena such as exception, electric voltage exception, current anomaly, load exception and clock exception, is judged；
Step 3 measuring equipment attendant by observation analysis result, by analysis result it can be found that electric energy meter indicating value not
Put down, electric energy meter flies away, electric energy meter backward walking, electric energy meter stop walking, electric energy meter rate sets abnormal, the disconnected item of voltage, voltage out-of-limit, voltage
It is unequal abnormal, examined on the spot, screened for there is abnormal equipment, if need not be adjusted on the spot to measuring equipment
It is whole, then by management through quantification corresponding software on-line tuning measuring equipment parameter, correct the problem of metering device is present；
Step 4 if necessary to measuring equipment attendant transform or adjust on the spot, by sending work flow to carry out sending work to be examined
Repair.
2. according in claim 1, a kind of metering device based on gathered data is monitored on-line and intelligent diagnosing method, the step
Rapid 2 carry out abnormal data diagnostic analysis method based on metering device on-line monitoring with intelligent diagnostics model includes：Electricity is examined extremely
Disconnected method, voltage x current abnormality diagnostic method, abnormal electricity consumption diagnostic method, load abnormality diagnostic method, clock abnormity diagnosis side
Method, take control abnormality diagnostic method.
3. according in claim 2, a kind of metering device based on gathered data is monitored on-line and intelligent diagnosing method, the step
In rapid 2, electricity abnormality diagnostic method is：
A. electric energy meter indicating value uneven calculate positive/negative in electric energy meter freezing data each is taken to active energy indicating value with positive/negative to active
The difference of rate indicating value sum, judges whether the absolute value of difference is more than " rate number × K "；Exclude positive/negative to active energy indicating value
The situation for being 0 for 0 or forward and reverse active each rate indicating value sum；
K preferred values are 0.01；
Electric energy indicating value information in electric energy meter is obtained by data signal, electric energy indicating value information is brought into electricity is carried out in equation below
Energy expression value is uneven to be judged, if following equation is set up, electric energy tabular value is uneven；
(1)|PAP_R-(PAP_R1+PAP_R2+…+PAP_Rn)|>Rate number * K, PAP_R are positive active total electric energy indicating value,
PAP_Rn is positive active rate n electric energy indicating values, and n is positive active rate number, K 0.01；
(2)|RAP_R-(RAP_R1+RAP_R2+…+RAP_Rn)|>Rate number * K, RAP_R are reversely active total electric energy indicating value,
RAP_Rn is reverse active rate n electric energy indicating values, and n is positive active rate number, K 0.01；
B. electric energy meter fly away electric energy meter day electricity with user's day may maximum power consumption ratio be more than threshold k；
Day, possible maximum power consumption computational methods were optional：
I max U n 24h
K preferred values are 60%；
Day information about power in electric energy meter is obtained by data signal, day information about power is brought into electric energy meter is carried out in equation below
Fly away judgement, if following equation is set up, electric energy meter flies away；PAP_E/PAP_E(max)>K, wherein PAP_E are electric energy meter day
Amount, PAP_E (max) are user's day possible maximum power consumption, and K is threshold value；
C. electric energy meter backward walking specially becomes user and low voltage three-phase user judges that day is positive/negative to active total electric energy indicating value, forward direction (combination)
Idle total electric energy indicating value is less than the previous day indicating value；
The single-phase user of low pressure judges day positive active total electric energy indicating value and reversely active total electric energy indicating value is less than the previous day indicating value；
The positive/negative to total electric energy indicating value and Query Dates the previous day of the same day (inquiry day) electric energy meter is obtained directly from database table
Electric energy meter it is positive/negative to total electric energy indicating value, information will be obtained and bring equation below into, if the same day (inquiry day) electric energy meter
It is positive/negative to total electric energy indicating value<Positive/negative to total electric energy indicating value, the then electric energy meter backward walking of the electric energy meter of Query Dates the previous day；
(1) PAP_R (same day)<PAP_R (proxima luce (prox. luc)), wherein PAP_R are positive active gross energy indicating value；
(2) RAP_R (same day)<RAP_R (proxima luce (prox. luc)), wherein RAP_R are reverse active gross energy indicating value；
(3) RP (same day)<RP (proxima luce (prox. luc)), wherein RP are positive (combination) reactive energy indicating value；
D, electric energy meter stops walking in electric energy meter 2 days the day positive/negative difference to active total electric energy indicating value and is equal to 0, and is monitored in the period
Arbitrarily mutually there are 3 points to be more than 0.1A to three-phase current；
The positive/negative to active total electric energy indicating value and the three-phase current data message of ammeter of electric energy meter is obtained from database, will
Electric energy indicating value information and current data information bring progress electric energy meter in equation below into and stop walking judgement, if following equation is set up,
Electric energy meter stops walking；
PAP_R (same day)+PAP_R (proxima luce (prox. luc))=0AND RAP_R (same day)+RAP_R (proxima luce (prox. luc))=0AND (IA>0.1OR
IB>0.1OR IC>0.1), wherein PAP_R is positive active gross energy indicating value, and wherein RAP_R is reverse active gross energy indicating value,
IA is A item current values, and IB is B item current values, and IC is C item current values；
E. electric energy meter rate sets the abnormal parameter set according to main website, contrasts electrical energy meter electricity energy indicating value, judges that electric energy meter is not set
Whether the indicating value for putting rate is not 0；
The rate information of electric energy meter is obtained from database, brings rate information into equation below, if formula is set up, electric energy
Table rate sets abnormal；P rate=0, wherein P rates are rate value.
4. according in claim 2, a kind of metering device based on gathered data is monitored on-line and intelligent diagnosing method, the step
In rapid 2, voltage x current abnormality diagnostic method is：
A. the disconnected phase of electric sampling open-phase phase three-wire three：Any phase voltage is less than K* reference voltages in AC phases, and another phase voltage is not less than
K* reference voltages；
Three-phase and four-line breaks phase：Any phase voltage is less than K* reference voltages, and any phase voltage is joined not less than K* in another two-phase voltage
Compare voltage；
One day domestic demand monitors multiple points (daily 3 points of acquiescence).If monitor that electric energy meter or terminal have electric sampling open-phase simultaneously
Event, the disconnected mutually exception of voltage is generated at once, data diagnosis requirement otherwise should be satisfied by for three days on end and just generate exception；
K recommended values are 60%；
Obtained by data-signal, electric energy meter electric energy meter information of voltage, bring equation below into, be electric sampling open-phase if setting up；
Phase three-wire three formula：UA<K*U OR UC<K*U, wherein UA are electric energy meter A phase voltages, and UC is electric energy meter C phase voltages, and K is
Threshold value, U are reference voltage；
Three-phase and four-line company：((UA<K*U AND(UC>K*U OR UB>K*U)OR(UB<K*U AND(UC>K*U OR UA>K*
U)OR(UC<K*U AND(UA>K*U OR UB>K*U)), wherein UA is electric energy meter A phase voltages, and UB is electric energy meter B phase voltages, UC
For electric energy meter C phase voltages, K is threshold value, and U is reference voltage；
B. any phase voltage of voltage out-of-limit is more than K1* reference voltages, or any phase voltage is less than K2* reference voltages and not low
In K3* reference voltages；
One day domestic demand monitors multiple points (daily 3 points of acquiescence), if monitoring that electric energy meter or acquisition terminal have voltage simultaneously
Out-of-limit event, voltage out-of-limit exception is generated at once, otherwise should be satisfied by data diagnosis requirement for three days on end and just generate exception；
It is recommended that K1 is 110%, K2 90%, K3 60%, K4 120%, K5 80%；
The more upper limit：Voltage range [K1, K4) reference voltage；
More lower limit：Voltage range (K5, K2] reference voltage；
The upper limit：Voltage is not less than K4 reference voltages；
More lower lower limit：Voltage range (K3, K5] reference voltage；
Obtained by data-signal, electric energy meter electric energy meter information of voltage, bring equation below into, be voltage out-of-limit if setting up；
More upper limit formula：U*K1<=UN<U*K4, wherein U are reference voltage, and K1 is 4 grades of threshold values, and K4 is 5 grades of threshold values, and UN is electricity
Any one voltage in energy Table A, B, C phase；
More lower limit formula：U*K5<UN<=U*K2, wherein U are reference voltage, and K5 is 2 grades of threshold values, and K2 is 3 grades of threshold values, and UN is electricity
Any one voltage in energy Table A, B, C phase；
Upper limit formula：U*K4<=UN, wherein U are reference voltage, and K4 is 5 grades of threshold values, and UN is in electric energy meter A, B, C phase
Any one voltage；
More lower lower limit formula：U*K3<UN<=U*K5, wherein U are reference voltage, and K3 is 1 grade of threshold value, and K5 is 2 grades of threshold values, and UN is
Any one voltage in electric energy meter A, B, C phase；
C. in the case that each phase voltage of Voltage unbalance is all higher than 0, according to (three-phase voltage maximum-minimum value)/maximum
Voltage unbalance rate is calculated, is judged whether out-of-limit；
The situation of the disconnected mutually exception of voltage need to first be excluded；
One day domestic demand monitors multiple points, and continuous monitoring is satisfied by data diagnosis requirement for more days and just generates that abnormal (acquiescence is daily
10 points, for three days on end)；
Obtained by data-signal, electric energy meter electric energy meter information of voltage, bring equation below into, it is uneven for voltage if setting up
Weighing apparatus；
Voltage unbalance formula：(UMAX-UMIN)/UMAX<>0, wherein UMAX be in electric energy meter three-phase voltage, and voltage is maximum
One phase voltage value, Umin are in energy table three-phase voltage；
D. massive quantity power supply and measurement B phases are abnormal
Metering method：Massive quantity power supply and measurement
The mode of connection：Phase three-wire three
In the case of the electric energy meter for meeting conditions above judges whether that B phase voltages are more than 0 or B phase currents not equal to 0；
Multiple points (daily 5 points of acquiescence) are monitored in one day；
Obtained by data-signal, electric energy meter electric energy meter information of voltage, bring equation below into, be massive quantity power supply and measurement B if setting up
It is mutually abnormal；
The abnormal formula of massive quantity power supply and measurement B phases：UB>0OR UB<>0, wherein UB are the B phase voltages of electric energy meter.
5. according in claim 2, a kind of metering device based on gathered data is monitored on-line and intelligent diagnosing method, the step
In rapid 2, abnormal electricity consumption diagnostic method is：
A. electric energy meter cover opening reading power meters status word, judge：The electric energy meter cover opening time is more than with electric energy meter set-up time difference
Time threshold；
Exclude normal electric energy meter cover opening, such as the situation of first installation and normal work order, the feelings for the temporal logic mistake that excludes to uncap
Condition；
Time threshold suggestion is 1 day；
Directly obtained from database, electric energy meter cover opening time and set-up time, bring equation below into, be electric energy if setting up
Table is uncapped；Formula：|So-Ss|>1, wherein So are the electric energy meter cover opening time, and Ss is the set-up time, and So-Ss absolute value is accurate to
My god；
B. measuring gate opening and closing reading terminals quantity of state displacement record, judges：Measuring gate opening time is more than with set-up time difference
Time threshold；
Normal measuring gate opening and closing, such as the situation of first installation and normal work order are excluded, it is wrong to exclude measuring gate opening/closing time logic
Situation by mistake；
Time threshold suggestion is 1 day；
Directly from database, measuring gate opening time and set-up time are obtained, brings equation below into, be metering if setting up
Door opening and closing；
Formula：|So-Ss|>1, wherein So are measuring gate opening time, and Ss is the set-up time, and So-Ss absolute value is accurate to day；
C. interference electric energy meter in stationary magnetic field produces stationary magnetic field interference incident record；
Directly from database, interference incident record is obtained, if stationary magnetic field interference problem then be present.
6. according in claim 2, a kind of metering device based on gathered data is monitored on-line and intelligent diagnosing method, the step
In rapid 2, load abnormality diagnostic method is：
A. the super appearance of requirement judges whether the requirement of electric energy meter exceeds the contract capacity of user, and calculating the ratio of requirement and capacity is
It is no to exceed restriction threshold k；
K suggests point 3 grades, and acquiescence K1 is 80%, K2 110%, K3 130%；
Directly from database, obtain user's contract capacity information and electric energy meter requirement information, by user's contract capacity information and
Electric energy meter requirement information brings equation below into, if formula is set up, the super appearance phenomenon of requirement be present；
Formula：L/P>K, wherein L are electric energy meter requirement, and P is user's contract capacity information, K be constant value (can be 80%,
110%th, 130%)；
B. any phase current of overcurrent is more than K*Imax；
N number of point is monitored in one day, if monitoring that electric energy meter or acquisition terminal have stream out-of-limit event simultaneously, is generated at once different
Often, generated after otherwise monitoring for three days on end abnormal；
Exclude the situation of the super transformer capacity of load；
N is defaulted as at 10 points；
K suggests point 3 grades, and acquiescence K1 is 100%, K2 120%, K3 150%；
Directly from database, 96 points of the 3 phase current information and 96 points of current information of electric energy meter are obtained, by current information band
Enter equation below, if formula is set up, overcurrent phenomenon be present；
Formula：
(1) same day judges：COUNT(In>K*MAX(Ion))>10, wherein In be in 1 day in electric energy meter three-phase any one phase 96
The current value of middle any time, Ion is the energy value of 96 points of electric energy meter 1 ... in 1 day, and K is constant, can be defined as 100%,
120% or 150%；(2) judge within continuous three days：(COUNT1(In>K*MAX(Ion))+COUNT2(In>K*MAX(Ion))+
COUNT3(In>K*MAX(Ion)))>10, wherein In are the electric current of any one phase any time in 96 in electric energy meter three-phase on the 1st
Value, Ion are the energy value of 96 points of electric energy meter 1 ... in 1 day, and K is constant, can be defined as 100%, 120% or 150%,
COUNT1 is statistical value on the firstth, and COUNT2 is second day statistical value, and COUNT3 is statistical value on the 3rd.
7. according in claim 2, a kind of metering device based on gathered data is monitored on-line and intelligent diagnosing method, the step
In rapid 2, clock abnormality diagnostic method is：
A. terminal clock Anomaly standard time and the absolute value of terminal calendar clock difference exceed threshold k；
K suggests span 1min~15min；
Obtained by data-signal, acquisition terminal is clock information, brings equation below into, different for terminal clock if setting up
Often；
Formula：|W-D|>15OR|W-D|<1, wherein W are terminal clock current time, and D is the standard time, and W-D absolute value changes
Calculate to minute level；
B. abnormal (standard time-terminal calendar clock)+(m- electric energy meter calendar clock during terminal meter reading) of clock of power meter
Absolute value exceed threshold k；
Either terminal generates electric energy meter time overproof event, and the clock normal (deviation ＜ ± 1 minute) of terminal or
Standard time and the absolute value of electric energy meter calendar clock difference exceed threshold k；K suggests span 3min~15min.
8. according in claim 2, a kind of metering device based on gathered data is monitored on-line and intelligent diagnosing method, the step
In rapid 2, expense control abnormality diagnostic method is：
A. reversely active total indicating value is more than 0 to reverse electricity exception electric energy meter, and the same day reverse electricity is more than threshold k；
The above judges that the user or client for possessing power generation characteristics need to be excluded extremely；
K recommended values are 1kWh；
The active information and electricity in electric energy meter are obtained by data signal, active information and electricity are brought into equation below
The reverse electricity of row judges extremely, abnormal for reverse electricity if following equation is set up；
P>0AND Q>K, wherein P are reverse active total indicating value, and Q is reverse electricity, and K is constant；
B. the absolute value of the total active power of phase sequence exception electric energy meter and the total active power difference of terminal and the total active power of terminal
Ratio is more than threshold k, and phase sequence does not occur and is then judged to electric energy meter phase sequence exception extremely for terminal；
K recommended values are 10%；
Total total active power information of active information and terminal in electric energy meter is obtained by data signal, respectively by electric energy meter
Total active total active power information of information and terminal, which is brought into, carries out judging phase order in equation below, if following equation is set up, for
Phase sequence is abnormal；
|PT-PW|>K, wherein PT are total active power in electric energy meter, and PW is the total active power of terminal, and K is constant；
C. the number that negative value occur in trend reverse current or power curve data is more than the threshold k set；
K recommended values is 6 times a day；
The electric current and power curve data of electric energy meter are obtained directly from database, electric current and power curve data are brought into as follows
Trend is carried out in formula reversely to judge, it is reverse for trend if following equation is set up；Formula；COUNT(In<0)>6OR COUNT
(Pn<0)>6, wherein In be 1 ... 96 current curve numerical value, 96 power curve numerical value of Pn 1 ....
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| CN109871961A (en) * | 2018-12-29 | 2019-06-11 | 深圳供电局有限公司 | Method and system for analyzing medium-voltage power failure event |
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| CN110596540A (en) * | 2019-10-08 | 2019-12-20 | 国网河南省电力公司电力科学研究院 | Electric quantity abnormity online analysis and detection method and device based on real-time data driving |
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