CN107390592A - A kind of business electrical monitoring information and mobile phone interaction communication system - Google Patents
A kind of business electrical monitoring information and mobile phone interaction communication system Download PDFInfo
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- CN107390592A CN107390592A CN201710725918.6A CN201710725918A CN107390592A CN 107390592 A CN107390592 A CN 107390592A CN 201710725918 A CN201710725918 A CN 201710725918A CN 107390592 A CN107390592 A CN 107390592A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
Abstract
The business electrical monitoring information of the present invention and mobile phone interaction communication system, the eight quadrant interpolation methods for employing uniqueness are corrected the ammeter data for obtaining accurate stabilization, wrong report probability is reduced, while guarantee overcomes accident to occur, greatly reduces production loss caused by erroneous judgement；The system has relatively low operating cost, while has good monitoring effect, and takes into account remote control and live manipulation, takes into account automatic judgement and artificial judgement, and processing is timely and accurately；The setting of other system priority also improves efficiency while accuracy is ensured.
Description
Technical field
The present invention relates to a kind of power monitoring processing system, especially a kind of business electrical monitoring information is led to mobile phone interaction
Letter system.
Background technology
With the progress of society, the development of national economy, electric energy plays the part of more and more important role in economic life.Electricity
Main energy sources can be used as, be the necessary consumer goods of today's society.Due to the particularity of electric energy product, its quality and process of consumption are gone through
It can not be paid attention to by consumers in general.Especially as the high speed development of national economy, business electrical amount is increasing, thereupon
With electric fault it is more and more, especially manufacturing enterprise is related to many large-scale electric equipments, is possible to trigger with electric fault is larger
Very big accident, it is not easy to turn off electricity consumption in failure；And if easily because a period of time failure or it is abnormal arbitrarily turn off electricity consumption, can cause again
Very big production loss, therefore be difficult to meet enterprise security, reliable, economic power demand.
Manual maintenance and monitoring enterprise transformer substation system, waste time and energy.Using computer monitor, the monitoring mode of pure automation,
Higher not only is required to software kit, and can not effectively be judged in emergency situations or some accidents, or without timely
Turn off electricity consumption, cause very major break down, or mistake turns off electricity consumption, cause very big loss.
The content of the invention
It is an object of the invention to provide a kind of business electrical monitoring information and mobile phone interaction communication system, for solution
Technical problem is stated, there is relatively low operating cost, while there is good monitoring effect, and takes into account remote control and scene behaviour
Control, take into account automatic judgement and artificial judgement, processing is timely and accurately.
The technical solution adopted for the present invention to solve the technical problems is：A kind of business electrical monitoring information and mobile phone are provided
Interactive communication system, including be sequentially connected intelligent electric meter, serial server, interchanger, industrial computer and monitoring server, center
Processor and Smartphone device；
The intelligent electric meter has ammeter data acquisition module, and the ammeter data of collection carries out school according to eight quadrant interpolation methods
Just；
The monitoring server has case library and parameter and standard storehouse；
The central processing unit has determination module, wireless communication module, control module, and the determination module is to correction electricity
Whether table data, which are normally carried out, judges, if abnormal or can not judge, send information to smart mobile phone by wireless communication module, connects
Receive the signal of smart mobile phone feedback and be sent to determination module, control module is sent instructions to by determination module；
Where it is determined that module has time threshold, wireless communication module feedack is not being received more than time threshold
Afterwards, the matching of case library is first carried out, directly control module is sent instructions to reference to the setting of case library if the match is successful, if
Match unsuccessful, Optimum Matching is carried out in parameter and standard storehouse, corresponding to setting according to immediate parameter sends instructions to control
Module；
Smart mobile phone is the first priority, and case library is the second priority, and parameter and standard storehouse is third priority.
Further, following step is used to eight quadrant interpolation methods of ammeter data correction：Adopting out of certain period of time
Any one ammeter data (ammeter data I might as well be defined as) is selected in the data of collection, using its amplitude as the longitudinal axis, the time is horizontal stroke
Axle, eight quadrants are angularly divided, search several data points nearest apart from ammeter data I in each quadrant successively, search
Radius is initially first threshold, if the ammeter data number that can be found in certain quadrant is less than 3, radius gradually increases to second
Threshold value, maximum are no more than the 5th threshold value, form a data set DS (st, qua, stx, dit), wherein, qua is quadrant number,
Stx is consecutive number strong point numbering, and dit is stx distances st (i.e. ammeter data I) distance；It is each to calculate each ammeter data in DS
Individual parameter is from the measurement time in past half a minute, in 1 minute, the change in 1 minute half, in 2 minutes, in 2 minutes half
Difference Df (st, stx, elem, t, dt), wherein, dt refers to above-mentioned time interval.
Using quadrant as packet unit, using interpolation algorithm calculate each change difference Df (st, stx, elem, t, dt) away from
Interpolation PI (st, qua, stx, elem, t, dt) from ammeter data I；Belong to suspicious (50 for confidence level Ar<Ar≤90) or it is wrong
The key element value of (Ar≤50) by mistake, is not involved in interpolation calculation；The interpolation algorithm formula that this step uses for：
In above formula, m is the quantity of ammeter data in a certain quadrant Qua in data set DS；Dit is a certain ammeter number in Qua
According to the distance between (I ' might as well be defined as) and ammeter data I；Ag_dit be in Qua all ammeter datas to ammeter data I
The arithmetic mean of instantaneous value of distance；Ag_dit ' is that (with ammeter data I ' for the center of circle, first threshold is half on the basis of ammeter data I '
Footpath, ammeter data all in the range of this is searched for, if the ammeter data quantity searched is less than 3, radius gradually increases to
Second Threshold, maximum are no more than the 5th threshold value), algorithm average value of all ammeter datas to I ' distance in the range of this.
Similarly, Df ' is on the basis of ammeter data I ', enters row interpolation meter to the Df of each ammeter data in its hunting zone
The result drawn, the interpolation formula are：
In above formula, n is the quantity of ammeter data in its hunting zone on the basis of ammeter data I '；Dit ' is this scope
The distance between interior a certain ammeter data and ammeter data I '；Df " is the Df and ammeter of a certain ammeter data itself in the range of this
Data I ' Df difference；Ag_dit ' implication is the same as described in epimere.
It is W=PI+Df ' to correct ammeter data.
Preferably, the ammeter data of intelligent electric meter collection includes environment temperature, non-equilibrium among three phase voltages, three-phase current not
The degree of balance, Harmonic Current Distortion rate, harmonic voltage distortion rate, frequency, general power factor, phase power factor (PF), total load (including become
Depressor and electrical equipment), single-phase load, phase voltage, line voltage, phase current (including transformer and electrical equipment), zero-sequence current,
Phase voltage deviation, line voltage deviation, frequency departure etc..
Preferably, case library is that the corresponding ammeter data of abnormal preservation is broken down or occurred before enterprise.
Preferably, parameter and standard storehouse includes electric energy optimizing scheme base, electricity consumption level evaluation criterion storehouse, electric pollution evaluation mark
Quasi- storehouse, power quality standard storehouse, power saving scheme storehouse, enterprise electrical energy consumption java standard library, product electric energy consumption java standard library.
Preferably, business electrical monitoring information also includes business electrical energy consumption statistic device with mobile phone interaction communication system.
Further, business electrical energy consumption statistic device includes returning processing module and energy consumption section module；Wherein, return
The load energy consumption data and creation data that are read out in monitoring server database are converted to regression model by processing module
The pretreatment of training data, utilize for the regression function f (x) in regression model；Energy consumption section module is used for according to confidence
Method of interval estimation is analyzed the history energy consumption data in monitoring server database, gives confidence level 1- α, obtains energy consumption
The normal interval of prediction；
The pretreatment is will to load the training data that energy consumption data and creation data are converted to regression model, i.e., according to
The time of collection, energy consumption data { f (x will be loaded1),f(x2),...,f(xn) and corresponding creation data { x1,x2,...,xn}
As one group of data<f(xi),xi>, i=1,2 ..., n, it is to intend respectively for training regression function f (x)=wx+b, w and b
The hyperplane parameter of training data is closed, training process is the form by solving equation, uses multi-group data<f(xi),xi>, i=
1,2 ..., n calculates hyperplane parameter w and b process；
X1, X2 ... Xn obeys sample distribution (μ, σ2),And S2The sample average and sample of prediction power consumption are represented respectively
Variance, then stochastic variableFor given confidence level 1- α,
Wherein P represents probability, then the confidential interval for predicting the mean μ of power consumption is
Preferably, smart mobile phone can directly transmit control instruction and carry out matching treatment to case library and parameter and standard storehouse.
Further, institute's case library and parameter and standard storehouse generate with electric energy consumption level plot, electric energy audit statement, electricity respectively
Can qualitative graph and power level, electricity consumption level grade, electric pollution level plot, energy saving space assessment report, electric energy
Prioritization scheme, transforming plant integrated information analysis table then is generated according to these contents, is handled by determination module.
Further, business electrical energy consumption statistic device also includes alarm module；In data excessively exception or more than threshold value
When very wide range, duration are long, the alarm module sounds the alarm sound or display, reminds field personnel to locate in time
Reason；The warning information of the alarm module is sent to smart mobile phone by short message form simultaneously, is carried at the scene during non-timely processing
Remote control of waking up reminds timely processing.
Beneficial effects of the present invention are：It is corrected using eight quadrant interpolation methods and obtains accurate, stable ammeter data, is subtracted
Report probability by mistake less, while guarantee overcomes accident to occur, greatly reduce production loss caused by erroneous judgement；The system have compared with
Low operating cost, while there is good monitoring effect, and take into account remote control and scene manipulation, take into account it is automatic judge and
Artificial to judge, processing is timely and accurately；The setting of other system priority also improves efficiency while accuracy is ensured.
Brief description of the drawings
Fig. 1 is the structural representation of business electrical monitoring information of the present invention and mobile phone interaction communication system.
Fig. 2 is the ammeter data list of intelligent electric meter collection of the present invention.
Embodiment
Referring to Fig. 1, the invention provides a kind of business electrical monitoring information and mobile phone interaction communication system, including phase successively
Intelligent electric meter 1, serial server 2, interchanger 3, industrial computer 4 and monitoring server 5 even, central processing unit 6 and intelligent hand
Machine equipment 7；
The intelligent electric meter 1 has ammeter data acquisition module, and the ammeter data of collection is carried out according to eight quadrant interpolation methods
Correction；
The monitoring server 5 has case library and parameter and standard storehouse；
The central processing unit 6 has determination module, wireless communication module, control module, and the determination module is to correction
Whether ammeter data, which is normally carried out, judges, if abnormal or can not judge, smart mobile phone is sent information to by wireless communication module
7, receive the signal that smart mobile phone 7 feeds back and be sent to determination module, control module is sent instructions to by determination module；
Where it is determined that module has time threshold, wireless communication module feedack is not being received more than time threshold
Afterwards, the matching of case library is first carried out, directly control module is sent instructions to reference to the setting of case library if the match is successful, if
Match unsuccessful, Optimum Matching is carried out in parameter and standard storehouse, corresponding to setting according to immediate parameter sends instructions to control
Module；
Smart mobile phone 7 is the first priority, and case library is the second priority, and parameter and standard storehouse is third priority.
Ammeter data acquisition module runs on serial server, and its action is to receive configuration parameter from monitoring server
Afterwards, the MODBUS data command frames of standard are generated, and are sent to intelligent electric meter, receive the reply data frame of intelligent electric meter return
Afterwards, the content in data frame is packaged as the packet used in TCP/PI, be forwarded to by network interface in interchanger gateway.Clothes
Business device control module runs on monitoring server, and the Software Development Platform C++5.0 developed using Microsoft is developed, and is made
Serial Port Transmission, and the data transfer that hardware is collected real-time display into host computer interface are carried out with the Mscomm controls of encapsulation
And storage is into SQL database.
Following step is used to eight quadrant interpolation methods of ammeter data correction：In the data of collection out of certain period of time
Any one ammeter data (ammeter data I might as well be defined as) is selected, using its amplitude as the longitudinal axis, the time is transverse axis, is angularly drawn
Point eight quadrants, several data points nearest apart from ammeter data I in each quadrant are searched successively, search radius and be initially the
One threshold value, if the ammeter data number that can be found in certain quadrant is less than 3, radius gradually increases to Second Threshold, most very much not
More than the 5th threshold value, a data set DS (st, qua, stx, dit) is formed, wherein, qua is quadrant number, and stx is consecutive number
Strong point is numbered, and dit is stx distances st (i.e. ammeter data I) distance；Each ammeter data parameters in DS are calculated to test oneself
Measure from the time in past half a minute, in 1 minute, change difference Df in 1 minute half, in 2 minutes (st, stx, elem, t,
Dt), wherein, dt refers to above-mentioned time interval.
Using quadrant as packet unit, using interpolation algorithm calculate each change difference Df (st, stx, elem, t, dt) away from
Interpolation PI (st, qua, stx, elem, t, dt) from ammeter data I；Belong to suspicious (50 for confidence level Ar<Ar≤90) or it is wrong
The key element value of (Ar≤50) by mistake, is not involved in interpolation calculation；The interpolation algorithm formula that this step uses for：
In above formula, n is the quantity of ammeter data in a certain quadrant Qua in data set DS；Dit is a certain ammeter number in Qua
According to the distance between (I ' might as well be defined as) and ammeter data I；Ag_dit be in Qua all ammeter datas to ammeter data I
The arithmetic mean of instantaneous value of distance；Ag_dit ' is that (with ammeter data I ' for the center of circle, first threshold is half on the basis of ammeter data I '
Footpath, ammeter data all in the range of this is searched for, if the ammeter data quantity searched is less than 3, radius gradually increases to
Second Threshold, maximum are no more than the 5th threshold value), algorithm average value of all ammeter datas to I ' distance in the range of this.
Similarly, Df ' is on the basis of ammeter data I ', enters row interpolation meter to the Df of each ammeter data in its hunting zone
The result drawn, the interpolation formula are：
In above formula, m is the quantity of ammeter data in its hunting zone on the basis of ammeter data I '；Dit ' is this scope
The distance between interior a certain ammeter data and ammeter data I '；Df " is the Df and ammeter of a certain ammeter data itself in the range of this
Data I ' Df difference；Ag_dit ' implication is the same as described in epimere.
It is W=PI+Df ' to correct ammeter data.
It is uneven that the ammeter data that intelligent electric meter 1 gathers specifically includes environment temperature, non-equilibrium among three phase voltages, three-phase current
Weighing apparatus degree, Harmonic Current Distortion rate, harmonic voltage distortion rate, frequency, general power factor, phase power factor (PF), total load (including transformation
Device and electrical equipment), single-phase load, phase voltage, line voltage, phase current (including transformer and electrical equipment), zero-sequence current, phase
Voltage deviation, line voltage deviation, frequency departure etc..
Case library is that the corresponding ammeter data of abnormal preservation is broken down or occurred before enterprise.
Parameter and standard storehouse includes electric energy optimizing scheme base, electricity consumption level evaluation criterion storehouse, electric pollution evaluation criterion storehouse, electricity
Can quality standard storehouse, power saving scheme storehouse, enterprise electrical energy consumption java standard library, product electric energy consumption java standard library.
Business electrical monitoring information also includes business electrical energy consumption statistic device 8 with mobile phone interaction communication system.
Business electrical energy consumption statistic device 8 includes returning processing module and energy consumption section module；Wherein, processing module is returned
The load energy consumption data and creation data that are read out in monitoring server database are converted to the training data of regression model
Pretreatment, utilize for the regression function f (x) in regression model；Energy consumption section module is used for according to Estimating Confidence Interval
Method is analyzed the history energy consumption data in monitoring server database, gives confidence level 1- α, is obtaining energy consumption prediction just
Normal section；
The pretreatment is will to load the training data that energy consumption data and creation data are converted to regression model, i.e., according to
The time of collection, energy consumption data { f (x will be loaded1),f(x2),...,f(xn) and corresponding creation data { x1,x2,...,xn}
As one group of data<f(xi),xi>, i=1,2 ..., n, it is to intend respectively for training regression function f (x)=wx+b, w and b
The hyperplane parameter of training data is closed, training process is the form by solving equation, uses multi-group data<f(xi),xi>, i=
1,2 ..., n calculates hyperplane parameter w and b process；
X1, X2 ... Xn obeys sample distribution (μ, σ2),And S2The sample average and sample of prediction power consumption are represented respectively
Variance, then stochastic variableFor given confidence level 1- α,
Wherein P represents probability, then the confidential interval for predicting the mean μ of power consumption is
Smart mobile phone 7 can directly transmit control instruction and carry out matching treatment to case library and parameter and standard storehouse.
Case library and the parameter and standard storehouse generates with electric energy consumption level plot, electric energy audit statement, the quality of power supply respectively
Analysis table and power level, electricity consumption level grade, electric pollution level plot, energy saving space assessment report, electric energy optimizing side
Case, transforming plant integrated information analysis table then is generated according to these contents, is handled, can also handed over by determination module
Handled by smart mobile phone 7.
Business electrical monitoring information also includes alarm module 9 with mobile phone interaction communication system；It is excessively abnormal or super in data
Cross threshold value very wide range, duration it is long when, the alarm module sounds the alarm sound or display, reminds field personnel
Timely processing；The warning information of the alarm module is sent to smart mobile phone by short message form simultaneously, is not located in time at the scene
Remote control is reminded to remind timely processing during reason.
Above content is to combine specific preferred embodiment further description made for the present invention, it is impossible to is assert
The specific implementation of the present invention is confined to these explanations.For general technical staff of the technical field of the invention,
On the premise of not departing from present inventive concept, some simple deduction or replace can also be made, should all be considered as belonging to the present invention's
Protection domain.
Claims (8)
1. a kind of business electrical monitoring information and mobile phone interaction communication system, it is characterised in that including the intelligence electricity being sequentially connected
Table, serial server, interchanger, industrial computer and monitoring server, central processing unit and Smartphone device；
The intelligent electric meter has ammeter data acquisition module, and the ammeter data of collection is corrected according to eight quadrant interpolation methods；
The monitoring server has case library and parameter and standard storehouse；
The central processing unit has determination module, wireless communication module, control module, and the determination module is to correcting ammeter number
According to whether being normally carried out judging, if abnormal or can not judge, smart mobile phone is sent information to by wireless communication module, receives intelligence
The signal of energy mobile phone feedback is simultaneously sent to determination module, and control module is sent instructions to by determination module；
Where it is determined that module has time threshold, after wireless communication module feedack is not received more than time threshold,
The matching of case library is first carried out, directly control module is sent instructions to reference to the setting of case library if the match is successful, if
With unsuccessful, Optimum Matching is carried out in parameter and standard storehouse, corresponding to setting according to immediate parameter sends instructions to control mould
Block；
Smart mobile phone is the first priority, and case library is the second priority, and parameter and standard storehouse is third priority.
2. business electrical monitoring information as claimed in claim 1 and mobile phone interaction communication system, it is characterised in that to ammeter number
Following step is used according to eight quadrant interpolation methods of correction：Any one ammeter is selected in the data of collection out of certain period of time
Data (might as well be defined as ammeter data I), and using its amplitude as the longitudinal axis, the time is transverse axis, angularly divide eight quadrants, look into successively
Several data points nearest apart from ammeter data I in each quadrant are looked for, radius is searched and is initially first threshold, if certain quadrant
The interior ammeter data number found is less than 3, and radius gradually increases to Second Threshold, and maximum is no more than the 5th threshold value, is formed
One data set DS (st, qua, stx, dit), wherein, qua is quadrant number, and stx is consecutive number strong point numbering, and dit is stx
Distance st (i.e. ammeter data I) distance；Each ammeter data parameters are past half from the measurement time in calculating DS
Change difference Df (st, stx, elem, t, dt) in minute, in 1 minute, in 1 minute half, in 2 minutes, in 2 minutes half, its
In, dt refers to above-mentioned time interval；
Using quadrant as packet unit, each change difference Df (st, stx, elem, t, dt) distance electricity is calculated using interpolation algorithm
Table data I interpolation PI (st, qua, stx, elem, t, dt)；Belong to suspicious (50 for confidence level Ar<Ar≤90) or mistake
The key element value of (Ar≤50), is not involved in interpolation calculation；The interpolation algorithm formula that this step uses for：
In above formula, m is the quantity of ammeter data in a certain quadrant Qua in data set DS；Dit is that a certain ammeter data is (no in Qua
The distance between harm is defined as I ') and ammeter data I；Ag_dit be in Qua all ammeter datas to ammeter data I distance
Arithmetic mean of instantaneous value；Ag_dit ' is that (with ammeter data I ' for the center of circle, first threshold is radius, search on the basis of ammeter data I '
All ammeter datas in the range of this, if the ammeter data quantity searched is less than 3, radius gradually increases to the second threshold
Value, maximum are no more than the 5th threshold value), algorithm average value of all ammeter datas to I ' distance in the range of this；
Similarly, Df ' is on the basis of ammeter data I ', and the Df progress interpolation calculation of each ammeter data in its hunting zone is obtained
The result gone out, the interpolation formula are：
In above formula, n is the quantity of ammeter data in its hunting zone on the basis of ammeter data I '；Dit ' is certain in the range of this
The distance between one ammeter data and ammeter data I '；Df " is the Df and ammeter data of a certain ammeter data itself in the range of this
I ' Df difference；Ag_dit ' implication is same as above；
It is W=PI+Df ' to correct ammeter data.
3. business electrical monitoring information as claimed in claim 1 or 2 and mobile phone interaction communication system, it is characterised in that intelligence
The ammeter data of ammeter collection includes environment temperature, non-equilibrium among three phase voltages, three-phase current unbalance degree, Harmonic Current Distortion
Rate, harmonic voltage distortion rate, frequency, general power factor, phase power factor (PF), total load (including transformer and electrical equipment), list
Phase load, phase voltage, line voltage, phase current (including transformer and electrical equipment), zero-sequence current, phase voltage deviation, line voltage
Deviation, frequency departure etc..
4. business electrical monitoring information as claimed in claim 1 and mobile phone interaction communication system, it is characterised in that also include enterprise
Industry electricity consumption energy consumption statistic device.
5. business electrical monitoring information as claimed in claim 4 and mobile phone interaction communication system, it is characterised in that the enterprise
Electricity consumption energy consumption statistic device includes returning processing module and energy consumption section module.
6. business electrical monitoring information as claimed in claim 5 and mobile phone interaction communication system, it is characterised in that recurrence is handled
Module is converted to the load energy consumption data and creation data that are read out in monitoring server database the training of regression model
The pretreatment of data, utilize for the regression function f (x) in regression model；Energy consumption section module is used for according to confidential interval
Method of estimation is analyzed the history energy consumption data in monitoring server database, gives confidence level 1- α, obtains energy consumption prediction
Normal interval.
7. business electrical monitoring information as claimed in claim 1 or 2 and mobile phone interaction communication system, it is characterised in that intelligence
Mobile phone can directly transmit control instruction and carry out matching treatment to case library and parameter and standard storehouse.
8. business electrical monitoring information as claimed in claim 1 or 2 and mobile phone interaction communication system, it is characterised in that also wrap
Include alarm module.
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| CN110087202A (en) * | 2019-05-22 | 2019-08-02 | 唐山凯峰电子科技有限公司 | Technical grade 4G the whole network leads to short message and phone ringing alarm terminal and its alarm method |
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