CN107607897B - A kind of voltage monitoring instrument on-line testing and prediction meanss and method - Google Patents
A kind of voltage monitoring instrument on-line testing and prediction meanss and method Download PDFInfo
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Abstract
The present invention provides a kind of voltage monitoring instrument on-line testing and prediction meanss and method, the device includes: interactive display module, data acquisition module, standard signal source module, controller module, forecast analysis module, memory module, by the way that the monitoring data of the target voltage monitor under same markers are compared with standard voltage data, to complete the on-line testing to target voltage monitor, in addition, preset prediction model is modified by the Historical Monitoring data of target voltage monitor, and the predicted value of the monitoring data in target voltage monitor future is obtained by revised prediction model, and make respective handling.The solution of the present invention had both completed the on-line testing of voltage monitoring instrument, again it can be concluded that the predicted value of voltage monitoring instrument future monitoring data, to judge a possibility that voltage monitoring instrument future is verified according to predicted value, to improve the efficiency that voltage monitoring instrument verifies from multiple temporal range.
Description
Technical field
The present invention relates to electric instrument instrument verification monitoring technical field more particularly to a kind of voltage monitoring instrument on-line testings
And prediction meanss and method.
Background technique
In order to ensure the stability of power grid power supply, voltage monitoring is the emphasis of power monitoring.With voltage monitoring instrument
It is widely used, may occur the inaccurate problem of voltage monitoring instrument at regular intervals, therefore, it is necessary to periodically specially supervise to voltage
Instrument is surveyed to be verified.And with the increase of voltage monitoring instrument usage quantity, cost of labor is also increasing.Existing voltage monitoring instrument
Verification mode is numerous, however, being all merely resting on simple verification level, there is no to the voltage monitoring instrument for having completed verification
The situation of verification next time that future may need is made prediction, so that existing voltage monitoring instrument verifying work efficiency is lower.
Summary of the invention
In order to overcome the shortcomings of the prior art, the invention proposes a kind of voltage monitoring instrument on-line testing and prediction dresses
Set and method, can verify complete while, make further prediction for the voltage that voltage monitoring instrument is monitored, thus
The case where knowing the verification next time that voltage monitoring instrument future may need can promote voltage monitoring from multiple temporal range
The efficiency of instrument verification.
A kind of voltage monitoring instrument on-line testing provided by the invention and prediction meanss, comprising:
Interactive display module, for generating data acquisition instructions according to user's operation；
Data acquisition module is returned for obtaining the monitoring data of target voltage monitor, and according to data acquisition instructions
The currently monitored data in monitoring data and/or the Historical Monitoring data returned in monitoring data are instructed according to prediction；
Standard signal source module, for being generated and the currently monitored same markers of data according to the data acquisition instructions
Under standard voltage data；
Controller module, according to the trueness error of obtained target voltage monitor and preset verification rule, to target
Voltage monitoring instrument carries out checking treatment；
Wherein, the trueness error is obtained by the currently monitored data and standard voltage data；
The preset verification rule are as follows: when the trueness error is more than preset standard value, target voltage is monitored
Instrument carries out resetting compensating operation；When the trueness error is no more than preset standard value, to data acquisition module and prediction point
It analyses module and sends prediction instruction；
Forecast analysis module, according to prediction instruction and preset prediction rule, by preset prediction model, to mesh
Mark voltage monitoring instrument carries out prediction processing；
Wherein, parameter needed for the prediction model is the Historical Monitoring data of target voltage monitor, and prediction result is mesh
Mark the predicted voltage value of voltage monitoring instrument；
The prediction rule are as follows: when predicted voltage value is beyond or below range of normal value, Xiang Suoshu interactive display module
Issue alarm signal；When the predicted voltage value in prediction result is in range of normal value, Xiang Suoshu interactive display module is issued
Normal signal；
Memory module, for storing checking treatment result and prediction processing result；
The interactive display module, standard signal source module, forecast analysis module and memory module are and controller module
It is connected；
The data acquisition module is connected with controller module and target voltage monitor simultaneously.
There are two functions for device provided by the invention tool: on-line testing function to voltage monitoring instrument and to power supply monitoring instrument
The forecast function of the following monitoring data.The present apparatus is built-in with standard signal source and prediction model, and standard signal source provides and voltage
Standard voltage data of the monitoring data of monitor under same markers, is compared using monitoring data and standard voltage data
Compared with then according to the verification operation of comparison result progress voltage monitoring instrument；It, can be with according to the Historical Monitoring data of voltage monitoring instrument
Built-in prediction model is modified, some the following time of voltage monitoring instrument is then obtained according to revised prediction model
Predicted voltage value then illustrates that the voltage is supervised when the predicted voltage value of voltage monitoring instrument multiple times is above fluctuating error range
A possibility that monitoring voltage fluctuation range for surveying instrument is larger, and future needs further progress to verify is higher, to remind work people
Member is paid special attention to.
Further, the workflow of the forecast analysis module are as follows:
The prediction instruction sent according to controller module, obtains the Historical Monitoring data of target voltage monitor；
Linear fit amendment is carried out to prediction model using the Historical Monitoring data as sample data set；
The predicted voltage value of target voltage monitor is obtained by revised prediction model；
According to the prediction rule and predicted voltage value, prediction processing is carried out to target voltage monitor；
Wherein, the Historical Monitoring data include voltage harmonic, frequency, electric current, load and voltage value.
The forecast analysis module is built-in with prediction model, in the present solution, inventor uses based on the polynary of time series
Regression parameter model establishes sample data set as partitioning standards as prediction model, using the time point in Historical Monitoring data,
Using the voltage harmonic at same time point, frequency, electric current, load and voltage value as a sample data, wherein voltage harmonic,
Frequency, electric current, load are as the input parameter in sample data, and voltage value is as the output parameter in sample data, according to
The prediction error of some historical data assessment prediction models, is modified prediction model.
When the prediction error of prediction model within the allowable range when, then using the prediction model carry out predicted operation；Otherwise,
The voltage monitoring instrument historical data for obtaining other times section, is again modified prediction model.
Further, the prediction model in the forecast analysis module is specially multiple regression parameter model, pattern function
Are as follows:
F (t)=g (t) β (m)+ξ
Wherein, f (t) indicates the output variable of prediction model, i.e. predicted voltage value, and g (t) indicates target voltage monitor institute
The monitoring data function of monitoring, β (m) indicate auto-correlation regression coefficient, and ξ is to return harmonic coefficient；
Wherein, the calculation formula of auto-correlation regression coefficient β (m) are as follows:
In formula, r (m) is auto-correlation function, and m is to calculate intermediate quantity, and x (n) is sample set, and n is number of samples, and t is sampling
Time span, sampling time length t and sampling interval determine number of samples n.
The present invention program is using the multiple regression parameter model based on time series, wherein returning harmonic coefficient ξ can
To be determined by those skilled in the art based on experience value and in conjunction with actual conditions, number of samples n is by sampling time length t and adopts
Sample time interval determines that the sampling time interval can determines according to actual conditions, and commonly using value is 1s.
Further, the device further include:
Communication module, for establishing communication connection by 3G or 4G network and remote monitoring service platform；
The communication module is connected with controller module.
Device provided by the invention also includes communication module, which can pass through 3G the or 4G network implementations present apparatus
Telecommunication and control function further increase the convenience of device operation.
The present invention also provides a kind of voltage monitoring instrument on-line testing and prediction techniques, comprising:
Step S1: verification data are obtained；
The verification data include the monitoring data of the target voltage monitor under same markers and the mark of standard signal source
Quasi- voltage data；
Step S2: on-line testing is carried out to target voltage monitor according to the verification data；
Using the step S1 monitoring data obtained and standard voltage data, the trueness error of target voltage monitor is determined,
And checking treatment is carried out according to preset verification rule；
Wherein, the preset verification rule are as follows: when the trueness error is more than preset standard value, to voltage monitoring
Instrument carries out resetting compensating operation；When the trueness error is no more than preset standard value, step S3 is executed；
Step S3: according to the preset prediction model of Historical Monitoring data correction of target voltage monitor；
The Historical Monitoring data for obtaining target voltage monitor, using the Historical Monitoring data as sample data set, line
Property fitting correct preset prediction model；
Wherein, the Historical Monitoring data include voltage harmonic, frequency, electric current, load and voltage value；
Step S4: according to the revised prediction model of step S3, the predicted voltage value of target voltage monitor, and root are obtained
Prediction processing is carried out to target voltage monitor according to preset prediction rule；
Wherein, the preset prediction rule are as follows: when predicted voltage value is beyond or below range of normal value, issue warning
Signal；When predicted voltage value is in range of normal value, normal signal is issued.
In the present invention program, step S1 and step S2 complete the on-line testing operation to voltage monitoring instrument, step S3 and
Step S4 completes the predicted operation to voltage monitoring instrument future monitoring data.This method passes through the future of predicted voltage monitor
Monitoring data, it can be determined that a possibility that voltage monitoring instrument future is verified, so that staff be reminded to give especially
Note that promoting the efficiency that voltage monitoring instrument verifies from multiple temporal range.The prediction model used in this method, art technology
Personnel can flexibly select according to the actual situation.
Wherein, the checking treatment of step S2 is for measurement error present in timely correction voltage monitoring instrument, to obtain
Obtain more accurate voltage monitoring data；The prediction processing of step S4 is the predicted voltage value in order to pass through voltage monitoring instrument, is sentenced
Disconnected voltage monitoring instrument future needs a possibility that verifying, and improves the efficiency of voltage monitoring instrument verification.
Further, the preset prediction model is specially multiple regression parameter model, pattern function are as follows:
F (t)=g (t) β (m)+ξ
Wherein, f (t) indicates the output variable of prediction model, i.e. predicted voltage value, and g (t) indicates target voltage monitor institute
The voltage parameter function of monitoring, β (m) indicate auto-correlation regression coefficient, and ξ is to return harmonic coefficient；
Wherein, the calculation formula of auto-correlation regression coefficient β (m) are as follows:
In formula, r (m) is auto-correlation function, and m is to calculate intermediate quantity, and x (n) is sample set, and n is number of samples, and t is sampling
Time span, sampling time length t and sampling interval determine number of samples n.
This method is using the multiple regression parameter model based on time series, wherein returning harmonic coefficient ξ can be by
Those skilled in the art are based on experience value and combination actual conditions determine, when number of samples n is by sampling time length t and sampling
Between be spaced determine, the sampling time interval can determines according to actual conditions, commonly use value be 1s.
Beneficial effect
A kind of voltage monitoring instrument on-line testing provided by the invention and prediction meanss and method, had both realized to voltage monitoring
The on-line testing of instrument, and the monitoring data in voltage monitoring instrument future can be predicted, sentenced by the fluctuation situation of data
A possibility that disconnected voltage monitoring instrument future is verified, and then the effect that voltage monitoring instrument verifies is promoted from multiple temporal range
Rate.
Detailed description of the invention
Fig. 1 shows a kind of voltage monitoring instrument on-line testing of the offer of the embodiment of the present invention one and the structure of prediction meanss is shown
It is intended to；
The combination of another voltage monitoring instrument on-line testing and prediction meanss that are provided Fig. 2 shows the embodiment of the present invention one
Schematic diagram；
Fig. 3 shows the process of a kind of voltage monitoring instrument on-line testing provided by Embodiment 2 of the present invention and prediction technique
Figure；
Fig. 4 shows the principle of a kind of voltage monitoring instrument on-line testing provided by Embodiment 2 of the present invention and prediction technique
Figure.
Specific embodiment
For the technical solution that the present invention is further explained, it is described in detail combined with specific embodiments below.
Embodiment one
Fig. 1 shows a kind of voltage monitoring instrument on-line testing of the offer of the embodiment of the present invention one and the structure of prediction meanss is shown
It is intended to.The present apparatus includes: interactive display module 100, data acquisition module 200, standard signal source module 300, controller module
400, forecast analysis module 500 and memory module 600, interactive display module 100, data acquisition module 200, standard signal source mould
Block 300, forecast analysis module 500 and memory module 600 are connected with controller module 400, meanwhile, data acquisition module
200 are connected with voltage monitoring instrument 700.
The verifying work process of the device is as follows: interactive display module 100 generates data acquisition instructions according to user's operation,
And it is sent to controller module 400；Data acquisition instructions are transmitted to 200 He of data acquisition module by controller module 400 respectively
Standard signal source module 300；Data acquisition module 200 and standard signal source module 300 upload respectively according to data acquisition instructions
Voltage monitoring instrument monitoring data and standard voltage data under same markers are in controller module 400；Controller module 400 passes through
Compare and be calculated the trueness error of voltage monitoring instrument, if the trueness error has been more than standard value, to the voltage monitoring instrument
Resetting compensation is carried out, and generates verification report and is transferred to interactive display module 100, for being shown to user, while verification being tied
Fruit is transferred to memory module 600, for achieving；If the trueness error, within standard value, controller module 400 generates prediction
Instruction, and it is sent to forecast analysis module 500 and data acquisition module 200.
The prediction work process of the device is as follows: data acquisition module 200 is instructed according to prediction, obtains target voltage monitoring
The Historical Monitoring data of instrument, and Historical Monitoring data are sent to controller module 400, when which includes some
Between voltage harmonic, frequency, electric current, load and voltage value in section；Controller module 400 is by Historical Monitoring data forwarding to prediction
Analysis module 500；Forecast analysis module 500 is according to prediction instruction and Historical Monitoring data, when by Historical Monitoring data to monitor
Between point be partitioning standards establish sample data set, by the voltage harmonic at same time point, frequency, electric current, load and voltage value make
For a sample data, wherein as the input parameter in sample data, voltage value is made for voltage harmonic, frequency, electric current, load
For the output parameter in sample data, according to the prediction error of existing historical data assessment prediction model, to prediction model into
Row amendment；If error is within the allowable range, predicted operation is carried out using the prediction model；Otherwise, other times section is obtained
Voltage monitoring instrument historical data, is again modified prediction model；Forecast analysis module 500 passes through revised prediction model
The predicted voltage value of voltage monitoring instrument in the time required to obtaining, and target voltage monitor is carried out at prediction according to prediction rule
Reason: when the predicted voltage value in prediction result is beyond or below range of normal value, warning letter is issued to interactive display module 100
Number；When the predicted voltage value in prediction result is in range of normal value, interactive display module 100 issues normal signal, goes forward side by side
Rower note.
Specifically, the prediction model that the present embodiment uses is the multiple regression parameter model based on time series, model
Function are as follows:
F (t)=g (t) β (m)+ξ
Wherein, f (t) indicates the output variable of prediction model, i.e. predicted voltage value；G (t) indicates target voltage monitor institute
The monitoring data function of monitoring；β (m) indicates auto-correlation regression coefficient；ξ is to return harmonic coefficient, can be by those skilled in the art
Member is based on experience value and combination actual conditions determine；
Wherein, the calculation formula of auto-correlation regression coefficient β (m) are as follows:
In formula, r (m) is auto-correlation function, and x (n) is sample set, and n is number of samples, and m is to calculate intermediate quantity, and t is sampling
Time span；Number of samples n determines that the sampling time interval can basis by sampling time length t and sampling time interval
Actual conditions determine that commonly using value is 1s.
Fig. 2 also shows another voltage monitoring instrument on-line testing and prediction meanss of the offer of the embodiment of the present invention one, Fig. 2
Device and Fig. 1 device only difference is that: Fig. 2 device increases communication module 800 on the basis of Fig. 1 device, the communication
Module 800 establishes communication connection by 3G or 4G network and remote monitoring service platform, realizes the present apparatus and long-range monitoring takes
The docking of business platform further increases the convenience of device operation so that the present apparatus realizes telecommunication and control function.
The voltage monitoring instrument on-line testing and prediction meanss that the embodiment of the present invention one provides, both by will be under same markers
Monitoring data and standard voltage data are compared, and realize the on-line testing to voltage monitoring instrument, further through Historical Monitoring number
The prediction to the following monitoring data is realized according to amendment prediction model, and using prediction model, passes through the fluctuation situation of prediction data
To judge a possibility that voltage monitoring instrument future is verified, and then voltage monitoring instrument verification is promoted from multiple temporal range
Efficiency.
Embodiment two
Fig. 3 shows the process of a kind of voltage monitoring instrument on-line testing provided by Embodiment 2 of the present invention and prediction technique
Figure, Fig. 4 show the schematic diagram of method provided by Embodiment 2 of the present invention.This method includes:
Step S1: verification data are obtained.
The verification data include the monitoring data of the target voltage monitor under same markers and the mark of standard signal source
Quasi- voltage data.
Step S2: on-line testing is carried out to target voltage monitor according to the verification data.
Specifically, determining target voltage monitor using the step S1 monitoring data obtained and standard voltage data
Trueness error, and checking treatment is carried out according to preset verification rule；Wherein, the preset verification rule are as follows: when the essence
When spending error more than preset standard value, resetting compensating operation is carried out to voltage monitoring instrument；When the trueness error is no more than in advance
If standard value when, execute step S3.
Step S3: according to the preset prediction model of Historical Monitoring data correction of target voltage monitor；
Specifically, the Historical Monitoring data of target voltage monitor are obtained, using the Historical Monitoring data as sample
Data set corrects preset prediction model；Wherein, the Historical Monitoring data include voltage harmonic, frequency, electric current, load and
Voltage value.In the present embodiment, the time point in Historical Monitoring data is established into sample data set as partitioning standards, it will be same
Voltage harmonic, frequency, electric current, load and the voltage value at time point are as a sample data, wherein voltage harmonic, frequency, electricity
Stream is loaded as the input parameter in sample data, and voltage value is as the output parameter in sample data, according to existing history
The prediction error of data assessment prediction model, is modified prediction model.When the prediction error of prediction model is in allowed band
When interior, then predicted operation is carried out using the prediction model；Otherwise, the voltage monitoring instrument historical data of other times section, weight are obtained
Newly prediction model is modified.
The prediction model used in the present embodiment is the multiple regression parameter model based on time series, pattern function are as follows:
F (t)=g (t) β (m)+ξ
Wherein, f (t) indicates the output variable of prediction model, i.e. predicted voltage value；G (t) indicates target voltage monitor institute
The monitoring data function of monitoring；β (m) indicates auto-correlation regression coefficient；ξ is to return harmonic coefficient, can be by those skilled in the art
Member is based on experience value and combination actual conditions determine；
Wherein, the calculation formula of auto-correlation regression coefficient β (m) are as follows:
In formula, r (m) is auto-correlation function, and x (n) is sample set, and n is number of samples, and m is to calculate intermediate quantity, and t is sampling
Time span；Number of samples n determines that the sampling time interval can basis by sampling time length t and sampling time interval
Actual conditions determine that commonly using value is 1s.
Step S4: according to the revised prediction model of step S3, the predicted voltage value of target voltage monitor, and root are obtained
Prediction processing is carried out to target voltage monitor according to preset prediction rule.
Wherein, the preset prediction rule are as follows: when predicted voltage value is beyond or below range of normal value, issue warning
Signal；When predicted voltage value is in range of normal value, normal signal is issued.
A kind of voltage monitoring instrument on-line testing provided by Embodiment 2 of the present invention and prediction technique, both by by same markers
Under monitoring data and standard voltage data be compared, realize the on-line testing to voltage monitoring instrument, supervised further through history
Measured data corrects prediction model, and realizes the prediction to the following monitoring data using prediction model, passes through the fluctuation of prediction data
Situation promotes voltage monitoring instrument from multiple temporal range to judge a possibility that voltage monitoring instrument future is verified
The efficiency of verification.
The above description is only an embodiment of the present invention, is not intended to limit the invention, all in spirit of that invention and original
It within then, changes, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of voltage monitoring instrument on-line testing and prediction meanss characterized by comprising
Interactive display module, for generating data acquisition instructions according to user's operation；
Data acquisition module for obtaining the monitoring data of target voltage monitor, and is returned according to data acquisition instructions and is monitored
The currently monitored data in data and/or the Historical Monitoring data returned in monitoring data are instructed according to prediction；
Standard signal source module, for according under data acquisition instructions generation and the currently monitored same markers of data
Standard voltage data；
Controller module, according to the trueness error of obtained target voltage monitor and preset verification rule, to target voltage
Monitor carries out checking treatment；
Wherein, the trueness error is obtained by the currently monitored data and standard voltage data；
The preset verification rule are as follows: when the trueness error is more than preset standard value, to target voltage monitor into
Row resetting compensating operation；When the trueness error is no more than preset standard value, to data acquisition module and forecast analysis mould
Block sends prediction instruction；
Forecast analysis module, according to prediction instruction and preset prediction rule, by preset prediction model, to target electricity
Pressure monitor carries out prediction processing；
Wherein, parameter needed for the prediction model is the Historical Monitoring data of target voltage monitor, and prediction result is target electricity
Press the predicted voltage value of monitor；
The prediction rule are as follows: when predicted voltage value is beyond or below range of normal value, Xiang Suoshu interactive display module is issued
Alarm signal；When the predicted voltage value in prediction result is in range of normal value, Xiang Suoshu interactive display module issues normal
Signal；
Memory module, for storing checking treatment result and prediction processing result；
The interactive display module, standard signal source module, forecast analysis module and memory module are connected with controller module
It connects；
The data acquisition module is connected with controller module and target voltage monitor simultaneously.
2. the apparatus according to claim 1, which is characterized in that the workflow of the forecast analysis module are as follows:
The prediction instruction sent according to controller module, obtains the Historical Monitoring data of target voltage monitor；
Linear fit amendment is carried out to prediction model using the Historical Monitoring data as sample data set；
The predicted voltage value of target voltage monitor is obtained by revised prediction model；
According to the prediction rule and predicted voltage value, prediction processing is carried out to target voltage monitor；
Wherein, the Historical Monitoring data include voltage harmonic, frequency, electric current, load and voltage value.
3. the apparatus of claim 2, which is characterized in that the prediction model in the forecast analysis module is specially more
First regression parameter model, pattern function are as follows:
F (t)=g (t) β (m)+ξ
Wherein, f (t) indicates the output variable of prediction model, i.e. predicted voltage value, and g (t) indicates that target voltage monitor is monitored
Monitoring data function, β (m) indicate auto-correlation regression coefficient, ξ be return harmonic coefficient；
Wherein, the calculation formula of auto-correlation regression coefficient β (m) are as follows:
In formula, r (m) is auto-correlation function, and m is to calculate intermediate quantity, and x (n) is sample set, and n is number of samples, and t is the sampling time
Length, sampling time length t and sampling interval determine number of samples n.
4. device according to claim 3 characterized by comprising
Communication module, for establishing communication connection by 3G or 4G network and remote monitoring service platform；
The communication module is connected with controller module.
5. a kind of voltage monitoring instrument on-line testing and prediction technique characterized by comprising
Step S1: verification data are obtained；
The verification data include the monitoring data of the target voltage monitor under same markers and the standard electric of standard signal source
Press data；
Step S2: on-line testing is carried out to target voltage monitor according to the verification data；
Using the step S1 monitoring data obtained and standard voltage data, the trueness error of target voltage monitor, and root are determined
Checking treatment is carried out according to preset verification rule；
Wherein, the preset verification rule are as follows: when the trueness error is more than preset standard value, to voltage monitoring instrument into
Row resetting compensating operation；When the trueness error is no more than preset standard value, step S3 is executed；
Step S3: according to the preset prediction model of Historical Monitoring data correction of target voltage monitor；
The Historical Monitoring data for obtaining target voltage monitor, using the Historical Monitoring data as sample data set, Linear Quasi
It closes and corrects preset prediction model；
Wherein, the Historical Monitoring data include voltage harmonic, frequency, electric current, load and voltage value；
Step S4: according to the revised prediction model of step S3, the predicted voltage value of target voltage monitor is obtained, and according to pre-
If prediction rule prediction processing is carried out to target voltage monitor；
Wherein, the preset prediction rule are as follows: when predicted voltage value is beyond or below range of normal value, issue warning letter
Number；When predicted voltage value is in range of normal value, normal signal is issued.
6. according to the method described in claim 5, it is characterized in that, the preset prediction model is specially multiple regression parameter
Model, pattern function are as follows:
F (t)=g (t) β (m)+ξ
Wherein, f (t) indicates the output variable of prediction model, i.e. predicted voltage value, and g (t) indicates that target voltage monitor is monitored
Monitoring data function, β (m) indicate auto-correlation regression coefficient, ξ be return harmonic coefficient；
Wherein, the calculation formula of auto-correlation regression coefficient β (m) are as follows:
In formula, r (m) is auto-correlation function, and m is to calculate intermediate quantity, and x (n) is sample set, and n is number of samples, and t is the sampling time
Length, sampling time length t and sampling interval determine number of samples n.
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