CN108171960A - A kind of self-diagnosing method and system of comprehensive energy management platform metering device exception - Google Patents
A kind of self-diagnosing method and system of comprehensive energy management platform metering device exception Download PDFInfo
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- CN108171960A CN108171960A CN201711341230.4A CN201711341230A CN108171960A CN 108171960 A CN108171960 A CN 108171960A CN 201711341230 A CN201711341230 A CN 201711341230A CN 108171960 A CN108171960 A CN 108171960A
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Abstract
The invention discloses a kind of self-diagnosing methods and system of comprehensive energy management platform metering device exception.The present invention relates to technical field of energy management.A kind of self-diagnosing method and system of comprehensive energy management platform metering device exception, by collection to metering device gathered data, metering device gathered data is calculated, with reference to the reported event of metering device, complete the diagnosis to metering device exception, realize management platform automated diagnostic, the significant increase working efficiency and accuracy rate of malfunction elimination.
Description
Technical field
Abnormal the present invention relates to technical field of energy management more particularly to a kind of comprehensive energy management platform metering device
Self-diagnosing method and system.
Background technology
In terms of electric power data acquisition quality, the acquisition of all data is finally all derived from electric energy meter, including three-phase electricity
Energy table, single-phase electric energy meter etc.., how much can be by environmental factor, communication factor, apparatus factor, electric power factor in the quality of data
Deng influence, cause the quality of data it is difficult to ensure that, there is mistake.Such as：The imbalance of voltage and current, indication data stop walking, fly
It walks, power factor (PF) is crossed the border etc., we term it metering device exception class failures for this kind of failure.These situations are difficult to prevent
, it is located against artificial abnormal investigation in most cases, accuracy rate and efficiency are than relatively low.
Invention content
In order to solve the above-mentioned technical problem, the object of the present invention is to provide a kind of malfunction elimination efficiency and accuracys rate of improving
The self-diagnosing method of comprehensive energy management platform metering device exception.
In order to solve the above-mentioned technical problem, it is a further object to provide a kind of raising malfunction elimination efficiency and standards
The self-diagnosable system of the comprehensive energy management platform metering device exception of true rate.
The technical solution adopted in the present invention is：
A kind of self-diagnosing method of comprehensive energy management platform metering device exception, including：
Data collection steps obtain the real-time data collection of metering device；
Data calculate and judgment step, and the gathered data got is analyzed and calculated, obtains collection value and calculating
Value, according to preset exception diagnosis algorithm, judges calculated value and collection value, obtains judging result；Meanwhile obtain metering
The reported event of meter；
Comprehensive diagnos step, with reference to judging result and reported event, diagnosis metering is abnormal to be whether there is, if judging result and
Reported event is exception, then is diagnosed as metering device exception, if judging result is abnormal, reported event is not abnormal, is examined
Break abnormal for metering device, if judging result is not abnormal, reported event is abnormal, be diagnosed as reporting by mistake, it is impossible to pass through data
If the metering that judgment step judges is abnormal there are reported event exception, it is abnormal to be diagnosed as metering device.
As being further improved for said program, the gathered data includes three-phase voltage, three-phase current, electric energy and represents
Degree, acquisition time, active power, reactive power, power factor (PF), forward and reverse electric energy.
As being further improved for said program, the data calculate and judgment step includes sub-step：
S1 analyzes the gathered data got, extracts and the extremely relevant spy of metering device is based in gathered data
Data are levied, and characteristic is calculated, obtain collection value and calculated value；
S2 according to preset exception diagnosis algorithm, judges calculated value and collection value, obtains judging result；Meanwhile
Obtain the reported event of measurement meter.
As being further improved for said program, the characteristic corresponds to customer information, metering dress including metering device
Put corresponding measurement meter information, metering device corresponds to measurement point information and the instantaneous sampling data of metering device.
As being further improved for said program, the exception diagnosis algorithm includes：Voltage circuit decompression algorithm, voltage return
Pass by pressure algorithm, current loop defluidization algorithm, current loop cross flow algorithm, current loop breaks phase algorithm, electric energy degree of a representation decline
Fly away algorithm, electric energy degree of a representation of algorithm, electric energy degree of a representation stops walking algorithm, electricity always with rate and scheduling algorithm, voltage/current is not inverse
It is overproof to sequence algorithm, the out-of-limit algorithm of current imbalance, the out-of-limit algorithm of Voltage unbalance, the overproof algorithm of ammeter clock, terminal time
Algorithm, terminal operating time out-of-limit algorithm.
A kind of self-diagnosable system of comprehensive energy management platform metering device exception, suitable for a kind of above-mentioned comprehensive energy
The self-diagnosing method of management platform metering device exception, including：
Data acquisition module, for obtaining the real-time data collection of metering device；
Data calculate and judgment module, for the gathered data got to be analyzed and is calculated, obtain collection value and
Calculated value according to preset exception diagnosis algorithm, judges calculated value and collection value, obtains judging result；Meanwhile it is used for
Obtain the reported event of measurement meter；
Comprehensive diagnos walks module, and for combining judging result and reported event, diagnosis metering is abnormal to be whether there is, if judging
As a result it is exception with reported event, is then diagnosed as metering device exception, if judging result is abnormal, reported event is not different
Often, then metering device exception is diagnosed as, if judging result is not abnormal, reported event is abnormal, is diagnosed as reporting by mistake, it is impossible to logical
If the metering for crossing the judgement of data judgment step is abnormal, there are reported event exceptions, are diagnosed as metering device exception.
The beneficial effects of the invention are as follows：
A kind of self-diagnosing method of comprehensive energy management platform metering device exception, by metering device gathered data
It collects, metering device gathered data is calculated, with reference to the reported event of metering device, complete to examine metering device exception
It is disconnected, realize management platform automated diagnostic, the significant increase working efficiency and accuracy rate of malfunction elimination.
A kind of self-diagnosable system of comprehensive energy management platform metering device exception, by metering device gathered data
It collects, metering device gathered data is calculated, with reference to the reported event of metering device, complete to examine metering device exception
It is disconnected, realize management platform automated diagnostic, the significant increase working efficiency and accuracy rate of malfunction elimination.
Description of the drawings
The specific embodiment of the present invention is described further below in conjunction with the accompanying drawings：
Fig. 1 is a kind of self-diagnosing method flow chart of comprehensive energy management platform metering device exception of the present invention；
Fig. 2 is prior art metering device spatial abnormal feature block diagram.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the application can phase
Mutually combination.
Fig. 1 is a kind of self-diagnosing method flow chart of comprehensive energy management platform metering device exception of the present invention, and Fig. 2 is existing
There is technology metering device spatial abnormal feature block diagram, with reference to Fig. 1 and Fig. 2, metering device includes voltage circuit exception, current loop extremely
Abnormal, ammeter indication exception, ammeter wiring is abnormal, power quality is abnormal and the overproof exception of scene clock.Wherein, voltage circuit is different
Often include voltage circuit decompression, voltage circuit overvoltage；Current loop includes current loop defluidization, current loop overcurrent, electricity extremely
The disconnected phase of stream；Ammeter indication extremely include electric energy degree of a representation decline, electric energy degree of a representation flies away, electric energy degree of a representation stops walking, electricity always with
Rate and not etc., electric flux is overproof, active total electric flux is differential out-of-limit；Ammeter wiring includes the reverse sequence of voltage/current extremely；Electricity
Energy abnormal quality is including current imbalance is out-of-limit, Voltage unbalance is out-of-limit, power factor is out-of-limit, apparent energy is out-of-limit, harmonic wave is got over
Limit and DC analogue quantity are out-of-limit；Live clock is overproof including the ammeter time is overproof, terminal time is overproof and the terminal operating time gets over
Limit.
A kind of self-diagnosing method of comprehensive energy management platform metering device exception, including：
Data collection steps obtain the real-time data collection of metering device；Gathered data includes three-phase voltage, three-phase electricity
Stream, electric energy degree of a representation, acquisition time, active power, reactive power, power factor (PF), forward and reverse electric energy etc..
Data calculate and judgment step, and the gathered data got is analyzed and calculated, obtains collection value and calculating
Value, according to preset exception diagnosis algorithm, judges calculated value and collection value, obtains judging result；Meanwhile obtain metering
The reported event of meter；
Specifically, data calculate and judgment step specifically includes sub-step：
S1 analyzes the gathered data got, extracts and the extremely relevant spy of metering device is based in gathered data
Data are levied, characteristic specifically includes that metering device corresponds to customer information, metering device corresponds to measurement meter information, metering device
The instantaneous sampling data of corresponding measurement point information and metering device.And characteristic is calculated, obtain collection value and meter
Calculation value；
S2 according to preset exception diagnosis algorithm, judges calculated value and collection value, obtains judging result；Meanwhile
Obtain the reported event of measurement meter.
Specifically, exception diagnosis algorithm includes：Voltage circuit decompression algorithm, voltage circuit overvoltage algorithm, current loop lose
Flow algorithm, current loop cross flow algorithm, current loop breaks phase algorithm, electric energy degree of a representation descent algorithm, electric energy degree of a representation fly away calculation
Method, electric energy degree of a representation stop walking algorithm, electricity, and always with rate and the reverse sequence algorithm of scheduling algorithm, voltage/current, current imbalance are not got over
Limit algorithm, the out-of-limit algorithm of Voltage unbalance, the overproof algorithm of ammeter clock, terminal time overproof algorithm, terminal operating time are out-of-limit
Algorithm.
Judging result includes including exception diagnosis algorithm：Voltage circuit decompression, voltage circuit overvoltage, current loop defluidization,
Current loop overcurrent, current loop break phase, electric energy degree of a representation decline, electric energy degree of a representation flies away, electric energy degree of a representation stops walking, electricity is total
With rate and not etc., the reverse sequence of voltage/current, current imbalance is out-of-limit, Voltage unbalance is out-of-limit, ammeter clock is overproof, terminal
Time is overproof, the terminal operating time is out-of-limit.
Step S2 specifically includes sub-step：
S201 monitors whether there are corresponding voltage circuit abnormality alarming event (ERC10) and records, meanwhile, according to pre-
If exception diagnosis algorithm, judge whether collected three-phase voltage has arbitrary two-phase voltage to be more than 78% rated voltage, in addition
Whether one phase voltage is less than 78% rated voltage and whether the corresponding phase current of three-phase voltage is more than 0.5% rated current, if
It is then to judge the phase voltage circuit decompression, otherwise enters step S202；
S202 monitors whether that there are corresponding voltage out-of-limit record alarm events (ERC24) and to record, meanwhile, according to pre-
If exception diagnosis algorithm, judge collected three-phase voltage whether have any phase voltage be more than 120% rated voltage, if so,
Then judge phase voltage circuit overvoltage, otherwise enter step S203；
S203 monitors whether there are corresponding current loop abnormality alarming event (ERC9) and records, meanwhile, according to default
Exception diagnosis algorithm, judge whether to have in collected three-phase voltage any phase voltage to be more than 60% rated voltage while should
The corresponding phase current of phase voltage is less than an at least phase current in 0.5% rated current and other two-phases and is more than 0.5% specified electricity
Stream, if so, judging the phase current loop defluidization, otherwise enters step S204；
S204 monitors whether that there are the out-of-limit record alarm events of corresponding electric current (ERC25) and to record, meanwhile, according to pre-
If exception diagnosis algorithm, judge collected three-phase current whether have any phase current be more than 130% rated current, if so,
Then judge the phase current overcurrent, otherwise enter step S205；
S205 according to preset exception diagnosis algorithm, judges that collected three-phase voltage is small with the presence or absence of any phase voltage
Whether it is less than 10% rated current in 70% rated voltage while the phase current, if so, judging that this mutually breaks for current loop
Otherwise phase enters step S206；
S206 monitors whether that electric energy degree of a representation falling alarm event, which occurs, (ERC27) and to be recorded, meanwhile, according to preset
Exception diagnosis algorithm judges measure whether point forward is active was always less than 0 with the difference at a upper time point, if so, being judged as this
Measurement point occurs electric energy degree of a representation and declines, and otherwise enters step S207；
S207, monitoring whether electric energy degree of a representation occurs to fly away alarm event (ERC29) and records, meanwhile, according to preset
Exception diagnosis algorithm judged whether measurement point forward is active always specified more than 8 times of * rated voltages * with the difference at a upper time point
Electric current * time difference/1000 if so, being judged as that the measurement point occurs electric energy degree of a representation and flies away, otherwise, enter step S208；
S208 monitors whether that electric energy degree of a representation, which occurs, to stop walking alarm event (ERC30) and record, meanwhile, according to preset
Exception diagnosis algorithm, judge the sum of three-phase current of measurement point be more than 0.5% rated current but measure point forward it is active always with it is upper
The electric energy degree of a representation at one time point is identical, then is judged as that the measurement point occurs electric energy degree of a representation and stops walking, otherwise, enters step
S209；
S209 according to preset exception diagnosis algorithm, judges the active total indication of forward direction in 0 indication data of measurement point
With positive active 1 indication of rate and positive active 2 indication of rate and positive active 3 indication of rate and positive active 4 indication of rate
Total value difference whether more than 0.5, if so, judge that electricity occurs for the measurement point always with rate and differing, otherwise, entrance
Step S210；
S210 monitors whether that the overproof alarm event of electric flux (ERC28) occurs and records；
S211 monitors whether that the active differential out-of-limit event of total electric flux (ERC22) occurs and records；
S212 monitors whether that the reverse sequence alarm event (ERC11) of voltage/current occurs and records, meanwhile, according to preset
Exception diagnosis algorithm, whether the sequence for detecting measurement point voltage phase angle is correct or whether sequence of current phase angle is correct,
If incorrect, it is judged as the reverse sequence of voltage/current, otherwise, enters step S213；
S213 monitors whether that current/voltage imbalance Threshold Crossing Alert event, which occurs, (ERC17) and to be recorded, meanwhile, according to pre-
If exception diagnosis algorithm, whether detection current imbalance rate, which is more than upper current limit threshold value or detection Voltage unbalance rate, is
It is no to be more than upper voltage limit threshold value, if so, being judged as that current/voltage imbalance is out-of-limit, otherwise, enter step S214；
S214 monitors whether that power factor Threshold Crossing Alert event, which occurs, (ERC26) and to be recorded, meanwhile, according to preset different
Normal diagnosis algorithm, whether detection measurement point power factor is always more than 1, if so, being judged as that power factor is out-of-limit, otherwise, enters
Step S215；
S215 monitors whether that apparent energy out-of-limit event (ERC26) occurs and records；
S216 monitors whether that the harmonic wave Threshold Crossing Alert time (ERC15) occurs and records；
S217 monitors whether that DC analogue quantity out-of-limit event (ERC16) occurs and records；
Whether S218, monitoring terminal report electric energy meter time overproof alarm event (ERC12) and record, meanwhile, according to pre-
If exception diagnosis algorithm, whether the time difference for detecting clock of power meter and terminal clock is more than electric energy meter time overproof threshold values,
If so, being judged as that the electric energy meter time is overproof, otherwise, S219 is entered step；
S219, according to preset exception diagnosis algorithm, the time difference that detection terminal clock performs the time with master tasks is
No is more than terminal time overproof threshold values, if so, being judged as that terminal time is overproof, otherwise, enters step S220；
S220, according to preset exception diagnosis algorithm, whether the detection terminal day operation time is less than the 60% of the full-time time,
If so, it is judged as that the terminal operating time is out-of-limit.
Comprehensive diagnos step, with reference to judging result and reported event, diagnosis metering is abnormal to be whether there is, if judging result and
Reported event is exception, then is diagnosed as metering device exception, if judging result is abnormal, reported event is not abnormal, is examined
Break abnormal for metering device, if judging result is not abnormal, reported event is abnormal, be diagnosed as reporting by mistake, it is impossible to pass through data
If the metering that judgment step judges is abnormal there are reported event exception, it is abnormal to be diagnosed as metering device.
A kind of self-diagnosing method of comprehensive energy management platform metering device exception, by metering device gathered data
It collects, metering device gathered data is calculated, with reference to the reported event of metering device, complete to examine metering device exception
It is disconnected, realize management platform automated diagnostic, the significant increase working efficiency and accuracy rate of malfunction elimination.
A kind of self-diagnosable system of comprehensive energy management platform metering device exception, puts down suitable for above-mentioned comprehensive energy management
The self-diagnosing method of platform metering device exception, the system include：
Data acquisition module, for obtaining the real-time data collection of metering device；
Data calculate and judgment module, for the gathered data got to be analyzed and is calculated, obtain collection value and
Calculated value according to preset exception diagnosis algorithm, judges calculated value and collection value, obtains judging result；Meanwhile it is used for
Obtain the reported event of measurement meter；
Comprehensive diagnos walks module, and for combining judging result and reported event, diagnosis metering is abnormal to be whether there is, if judging
As a result it is exception with reported event, is then diagnosed as metering device exception, if judging result is abnormal, reported event is not different
Often, then metering device exception is diagnosed as, if judging result is not abnormal, reported event is abnormal, is diagnosed as reporting by mistake, it is impossible to logical
If the metering for crossing the judgement of data judgment step is abnormal, there are reported event exceptions, are diagnosed as metering device exception.
A kind of self-diagnosable system of comprehensive energy management platform metering device exception, by metering device gathered data
It collects, metering device gathered data is calculated, with reference to the reported event of metering device, complete to examine metering device exception
It is disconnected, realize management platform automated diagnostic, the significant increase working efficiency and accuracy rate of malfunction elimination.
It is that the preferable of the present invention is implemented to be illustrated, but the invention is not limited to the implementation above
Example, those skilled in the art can also make various equivalent variations under the premise of without prejudice to spirit of the invention or replace
It changes, these equivalent deformations or replacement are all contained in the application claim limited range.
Claims (6)
1. a kind of self-diagnosing method of comprehensive energy management platform metering device exception, which is characterized in that it includes：
Data collection steps obtain the real-time data collection of metering device；
Data calculate and judgment step, and the gathered data got is analyzed and calculated,
Collection value and calculated value are obtained, according to preset exception diagnosis algorithm, calculated value and collection value are judged, sentenced
Disconnected result；Meanwhile obtain the reported event of measurement meter；
Comprehensive diagnos step, with reference to judging result and reported event, diagnosis metering is abnormal to be whether there is, if judging result and reporting
Event is exception, then is diagnosed as metering device exception, if judging result is abnormal, reported event is not abnormal, is diagnosed as
Metering device is abnormal, if judging result is not abnormal, reported event is abnormal, is diagnosed as reporting by mistake, it is impossible to by data judge
If the metering that step judges is abnormal there are reported event exception, it is abnormal to be diagnosed as metering device.
2. a kind of self-diagnosing method of comprehensive energy management platform metering device exception according to claim 1, feature
Be, the gathered data include three-phase voltage, three-phase current, electric energy degree of a representation, acquisition time, active power, reactive power,
Power factor (PF), forward and reverse electric energy.
3. a kind of self-diagnosing method of comprehensive energy management platform metering device exception according to claim 2, feature
It is, the data calculate and judgment step includes sub-step：
S1 analyzes the gathered data got, extracts and the extremely relevant characteristic of metering device is based in gathered data
According to, and characteristic is calculated, obtain collection value and calculated value；
S2 according to preset exception diagnosis algorithm, judges calculated value and collection value, obtains judging result；Meanwhile it obtains
The reported event of measurement meter.
4. a kind of self-diagnosing method of comprehensive energy management platform metering device exception according to claim 3, feature
It is, the characteristic corresponds to customer information including metering device, metering device corresponds to measurement meter information, metering device pair
Answer measurement point information and the instantaneous sampling data of metering device.
5. a kind of self-diagnosing method of comprehensive energy management platform metering device exception according to claim 4, feature
It is, the exception diagnosis algorithm includes：Voltage circuit decompression algorithm, voltage circuit overvoltage algorithm, current loop defluidization algorithm,
Current loop crosses flow algorithm, current loop breaks phase algorithm, electric energy degree of a representation descent algorithm, electric energy degree of a representation fly away algorithm, electric energy
Degree of a representation stop walking algorithm, electricity always with rate and not the reverse sequence algorithm of scheduling algorithm, voltage/current, the out-of-limit algorithm of current imbalance,
The out-of-limit algorithm of Voltage unbalance, the overproof algorithm of ammeter clock, terminal time overproof algorithm, terminal operating time out-of-limit algorithm.
6. a kind of self-diagnosable system of comprehensive energy management platform metering device exception, suitable for any one of such as claim 1 to 5
The self-diagnosing method of a kind of comprehensive energy management platform metering device exception, which is characterized in that it includes：
Data acquisition module, for obtaining the real-time data collection of metering device；
Data calculate and judgment module, for the gathered data got to be analyzed and calculated, obtain collection value and calculating
Value, according to preset exception diagnosis algorithm, judges calculated value and collection value, obtains judging result；Meanwhile for obtaining
The reported event of measurement meter；
Comprehensive diagnos walks module, and for combining judging result and reported event, diagnosis metering is abnormal to be whether there is, if judging result
It is exception with reported event, then is diagnosed as metering device exception, if judging result is abnormal, reported event is not exception,
Metering device exception is diagnosed as, if judging result is not abnormal, reported event is abnormal, is diagnosed as reporting by mistake, it is impossible to pass through number
It is judged that if the metering that step judges is abnormal there are reported event exception, it is abnormal to be diagnosed as metering device.
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| CN109298371A (en) * | 2018-08-23 | 2019-02-01 | 国网天津市电力公司电力科学研究院 | Intelligent electric energy meter method for monitoring operation states |
| CN109447278A (en) * | 2018-09-18 | 2019-03-08 | 中国电力科学研究院有限公司 | The method and system of phase sequence error event occurs for a kind of identification measuring equipment |
| CN115169613A (en) * | 2022-07-27 | 2022-10-11 | 云南电网有限责任公司 | Ammeter maintenance scheme determination method and device, electronic equipment and storage medium |
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| Publication number | Publication date |
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| CN108171960B (en) | 2020-08-04 |
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