CN110456739A - Petrochemical process alarm system adaptive dead zone setting method based on multi-source data - Google Patents
Petrochemical process alarm system adaptive dead zone setting method based on multi-source data Download PDFInfo
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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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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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
- G05B2219/30—Nc systems
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- G05B2219/31439—Alarms can be warning, alert or fault
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Abstract
The petrochemical process alarm system adaptive dead zone setting method based on multi-source data that the present invention relates to a kind of mainly solves the problems, such as that warning message inaccuracy, needs manually adjust in the prior art, safety is poor.The present invention is by using a kind of petrochemical process alarm system adaptive dead zone setting method based on multi-source data, real-time acquisition platform including device multi-source data is built, the acquisition of device operation account data, data prediction, operate account analysis, adaptive dead zone range computation, alarm system with adaptive dead zone setting, the data of real-time acquisition platform acquisition and the data of operation account data acquisition server acquisition are after pretreatment, carry out operation account data parsing, and target data is sent to alarm system, carry out adaptive dead zone range computation, preferably solves the above problem to the technical solution that dead zone is configured in the alarm system with adaptive dead zone setting, it can be used in the setting of petrochemical process alarm system adaptive dead zone.
Description
Technical field
The petrochemical process alarm system adaptive dead zone setting method based on multi-source data that the present invention relates to a kind of.
Background technique
Complex working condition during petrochemical iy produced has the spies such as non-linear, close coupling, multiple dimensioned, multi-modal, dynamic time-varying
Property, higher requirement and challenge are proposed to process safety guarantee and control of product quality.The unusual service condition of petrochemical iy produced process
Strong with concealment, relation factor is more, endangers the features such as big, once erroneous judgement or maloperation occurs, be easy to cause fluctuation very
Extremely unplanned parking and so on, and enterprise also rests on mostly by people the monitoring and warning means of unusual service condition at present
Work experience carrys out the level of analysis treatment, due to being influenced by various objective disturbing factors and operator are horizontal, be difficult quickly,
The root primordium accurately to note abnormalities not only influences production operation safety, causes product matter to cause erroneous judgement or maloperation
Amount and yield decline, the serious generation even to cause the accident.Therefore reasonable Design of Alarm System is to constitute chemical processes safety
An important ring for research.Often occurs the case where alarm redundancy in alarm system, alarm times are excessive, frequency excessively frequently makes to grasp
Face excessive warning message as member, cannot effectively find operation exception situation key point [Yu Qian, Xiuxi Li,
Yanrong Jiang,Yanqin Wen.An expert system for real-time fault diagnosis of
complex chemical processes[J].Expert Systems with Applications,2003,24:425–
432.].Alert frequency how is controlled, alarm times are reduced, eliminates redundant warning, improving alarm accuracy rate is in alarming and managing
Major issue.Wherein to univariate alarm redundancy, dead zone is the effective ways for solving concussion alarm, usually in petrochemical equipment
In alarm system, the range in dead zone is set as fixed value, such as is set as the 2% or 5% of range.However in certain sites, numerical value
Shock range be to generate at any time periodically variable, this prevents the dead time of fixed range accurately to disappear from meeting in time
Except the function of redundancy.
Summary of the invention
The technical problem to be solved by the present invention is to the inaccuracy of warning message in the prior art, need to manually adjust, safety
Property poor problem, provide a kind of new petrochemical process alarm system adaptive dead zone setting method based on multi-source data, tool
Have the advantages that warning message is accurate, do not need to manually adjust, safety it is preferable.
To solve the above problems, The technical solution adopted by the invention is as follows: a kind of petrochemical process report based on multi-source data
Alert system self-adaption the dead time method, the real-time acquisition platform including device multi-source data is built, device operates account data
Acquisition, data prediction, operation account analysis, adaptive dead zone range computation, with adaptive dead zone setting alarm system
System, the data of real-time acquisition platform acquisition and the data of operation account data acquisition server acquisition carry out after pretreatment
Account data parsing is operated, and target data is sent to alarm system, adaptive dead zone range computation is carried out, with adaptive
It answers in the alarm system of the dead time and dead zone is configured.
In above-mentioned technical proposal, it is preferable that the real-time acquisition platform of device operation data is built: the number provided according to enterprise
According to acquisition interface, the OPC DA server framework realized using VC++ programming is real-time from the control system of device or enterprise
Database acquisition operation real time data, and the real time data table of Refresh Servers, while real time data being deposited by sequence of the time
Enter the historical data table of each parameter.
In above-mentioned technical proposal, it is preferable that sample frequency is 1 beat/min or 2 beats/min in real-time data base, is utilized
The data frequency that OPCDA specification is acquired from DCS system is 1 time/second.
In above-mentioned technical proposal, it is preferable that the acquisition of device operation account data: utilize connecing in enterprise real-time data library
Mouthful, operation account data acquisition server is built, real-time data base is connected, reads the operation account data of event triggering form,
Each event includes operating instruction and timestamp.
In above-mentioned technical proposal, it is preferable that data prediction: being carried out using raw operational data of the VC++ programming to acquisition
Standard normalized, and checked whether data incompleteness, if any incompleteness, then takes and carried out using period data above and below the variable
Filtering processing, using be manually entered rule determine data whether mistake, such as there is wrong data, handled as incompleteness.
In above-mentioned technical proposal, it is preferable that operation account analysis: parsing operation account data is likely to occur to all
Operation account is screened, and the type of wherein instruction device operating status is chosen, as target data；To what is acquired in real time
Operation account is parsed, and when there is target data, its corresponding operating status and timestamp are passed to alarm system.
In above-mentioned technical proposal, it is preferable that the range computation of adaptive dead zone: to each alarm variable, choosing a period of time
Operation history data, calculate its absolute deviation average, selecting 2 times of absolute deviation averages is dead zone range, that is, is being alarmed
It is alarm dead band in 2 times of absolute deviation averages above and below line, the width in dead zone is 4 times of absolute deviation averages；In addition for
Operating status period shorter variable, the duration of its of length no more than most short operating status of historical data.
In above-mentioned technical proposal, it is preferable that the alarm system with adaptive dead zone setting: near original alarming line
Inside and outside two alarming lines are set；When operating parameter is more than outside alarming line, alarm is opened；When operating parameter returns inside report
When alert line, alarm stops；When parameter is shaken between inside and outside two alarming lines, the record that alarm or alarm are eliminated is not generated；When
When alarm system receives the signal that operation account server transmits, analysis changes the position number of operating status, and updates these positions number
The dead time；It is starting with operating status change timestamp, chooses the operation history data of regular length, and absolutely using 2 times
To the method for deviation average, dead zone is configured.
This patent is directed to the defect of fixed dead zone range, proposes adaptive dead zone range setting method, real-time dynamicly
Dead zone range is adjusted, the setting in dead zone is made to adapt to the fluctuation characteristic of different periods monitoring signals, that accurately portrays monitoring signals can
Allowable fluctuation range does not omit true alarm signal while effectively reducing concussion alarm, reduces petrochemical equipment alarm system
The rate of false alarm and rate of failing to report of system.By combining operation data and operation account data, adjustment the dead time in real time is realized, adaptively
The different operating statuses of device, make site operation personnel that need not manually adjust dead zone, solve the master of artificial change the dead time
See property and non-timely；Compared to the dead time of existing fixed range, the dead time of this patent is according to device operating status
Change and change in real time, combine the fluctuation situation of operation data to a greater degree, effectively reduces concussion alarm, and alarm signal
Breath is more accurate, timely, provides effective guidance for site operation personnel.The update of the dead time is according to acquisition in real time in this patent
Device operate account information, be no longer rely on artificial change, this greatly facilitates the instrument operation work of device, achieves preferable
Technical effect.
Detailed description of the invention
Fig. 1: the petrochemical process adaptive dead zone alarm system based on multi-source data.
The present invention will be further described below by way of examples, but is not limited only to the present embodiment.
Specific embodiment
[embodiment 1]
Embodiment of the present invention as shown in Figure 1, build, data are located in advance by the real-time acquisition platform including device multi-source data
Reason, operation account analysis, adaptive dead zone range computation, the links such as alarm system exploitation with adaptive dead zone setting.
The real-time acquisition platform of data is built: the data acquisition interface provided according to enterprise (samples frequency in real-time data base
Rate is up to 1 beat/min), the OPC DA server framework realized using VC++ programming, control system or enterprise from device
Real-time data base acquisition operation real time data, and the real time data table of Refresh Servers, while by real time data using the time as sequence
Column are stored in the historical data table of each parameter.Each variable saves 10000 data in server real time data table, and every
Runing time by 1000 data, which rolls, updates a real-time data base.
The acquisition of device operation account data: it using the interface in enterprise real-time data library, builds operation account data and adopts
Collect server, connect real-time data base, reads the operation account data of event triggering form.Each event include operating instruction with
Timestamp.
Data prediction: standard normalized is carried out using raw operational data of the VC++ programming to acquisition, and is examined
Whether there are data incomplete, if any incompleteness, then take and be filtered using period data above and below the variable, using being manually entered
Rule determine data whether mistake, such as there is wrong data, handled as incompleteness.Wherein normalized is to original number
According to linear transformation, be mapped to end value between [0,1].Transfer function is as follows:
Wherein min is the minimum value in current data, and max is maximum value.Whether it is that null sentences that incompleteness is examined using data
Disconnected, wrong data is examined using whether numerical value is judged in feasible region that wherein feasible region is usually arranged as all fortune
The maximum value and minimum value of row parameter.Filtering processing uses the side of the mean value of 4-8 numerical point near missing or error number strong point
Method.
Operate account analysis: parsing operation account data screens all operation accounts being likely to occur, chooses it
The type of middle instruction device operating status, as target data.The operation account acquired in real time is parsed, appearance is worked as
When target data, its corresponding operating status and timestamp are passed into alarm system.
Adaptive dead zone range computation: to each alarm variable, choosing the operation history data of a period of time, calculates it absolutely
To deviation average ε.
Wherein n is the number of sample, xiFor i-th of data, mean is the average of sample.Select 2 times of absolute deviations flat
Mean is dead zone range, i.e., is alarm dead band in 2 times of absolute deviation averages above and below alarming line, and the width in dead zone is 4 times
Absolute deviation average.Length of history data is set as 1000 numerical value.Data source is 1 time/second, then length of history data is
1000 seconds.In addition the variable shorter for the operating status period, its of length no more than most short operating status of historical data when
It is long.
Alarm system with adaptive dead zone setting: inside and outside two alarming lines are set near original alarming line.When
When operating parameter is more than outside alarming line, alarm is opened；When operating parameter returns inside alarming line, alarm stops.Parameter exists
When shaking between inside and outside two alarming lines, the record that alarm or alarm are eliminated is not generated.When alarm system receives operation account clothes
When the signal that business device transmits, analysis changes the position number of operating status, and updates the dead time of these number.More with operating status
Change timestamp and choose the operation history data of regular length for starting, and using the method for 2 times of absolute deviation average, to dead
Area is configured.
[embodiment 2]
Embodiment of the present invention as shown in Figure 1, build, data are located in advance by the real-time acquisition platform including device multi-source data
Reason, operation account analysis, adaptive dead zone range computation, the links such as alarm system exploitation with adaptive dead zone setting.
The real-time acquisition platform of data is built: the data acquisition interface provided according to enterprise (samples frequency in real-time data base
Rate is up to 2 beats/min), the OPC DA server framework realized using VC++ programming, control system or enterprise from device
Real-time data base acquisition operation real time data, and the real time data table of Refresh Servers, while by real time data using the time as sequence
Column are stored in the historical data table of each parameter.Each variable saves 10000 data in server real time data table, and every
Runing time by 1000 data, which rolls, updates a real-time data base.
The acquisition of device operation account data: it using the interface in enterprise real-time data library, builds operation account data and adopts
Collect server, connect real-time data base, reads the operation account data of event triggering form.Each event include operating instruction with
Timestamp.
Data prediction: standard normalized is carried out using raw operational data of the VC++ programming to acquisition, and is examined
Whether there are data incomplete, if any incompleteness, then take and be filtered using period data above and below the variable, using being manually entered
Rule determine data whether mistake, such as there is wrong data, handled as incompleteness.Wherein normalized is to original number
According to linear transformation, be mapped to end value between [0,1].Transfer function is as follows:
Wherein min is the minimum value in current data, and max is maximum value.Whether it is that null sentences that incompleteness is examined using data
Disconnected, wrong data is examined using whether numerical value is judged in feasible region that wherein feasible region is usually arranged as all fortune
The maximum value and minimum value of row parameter.Filtering processing uses the side of the mean value of 4-8 numerical point near missing or error number strong point
Method.
Operate account analysis: parsing operation account data screens all operation accounts being likely to occur, chooses it
The type of middle instruction device operating status, as target data.The operation account acquired in real time is parsed, appearance is worked as
When target data, its corresponding operating status and timestamp are passed into alarm system.
Adaptive dead zone range computation: to each alarm variable, choosing the operation history data of a period of time, calculates it absolutely
To deviation average ε.
Wherein n is the number of sample, xiFor i-th of data, mean is the average of sample.Select 2 times of absolute deviations flat
Mean is dead zone range, i.e., is alarm dead band in 2 times of absolute deviation averages above and below alarming line, and the width in dead zone is 4 times
Absolute deviation average.Length of history data is set as 1000 numerical value.Data source is 2 beats/min, then length of history data is
500 points.In addition the variable shorter for the operating status period, its of length no more than most short operating status of historical data when
It is long.
Alarm system with adaptive dead zone setting: inside and outside two alarming lines are set near original alarming line.When
When operating parameter is more than outside alarming line, alarm is opened；When operating parameter returns inside alarming line, alarm stops.Parameter exists
When shaking between inside and outside two alarming lines, the record that alarm or alarm are eliminated is not generated.When alarm system receives operation account clothes
When the signal that business device transmits, analysis changes the position number of operating status, and updates the dead time of these number.More with operating status
Change timestamp and choose the operation history data of regular length for starting, and using the method for 2 times of absolute deviation average, to dead
Area is configured.
[embodiment 3]
Embodiment of the present invention as shown in Figure 1, build, data are located in advance by the real-time acquisition platform including device multi-source data
Reason, operation account analysis, adaptive dead zone range computation, the links such as alarm system exploitation with adaptive dead zone setting.
The real-time acquisition platform of data is built: the data acquisition interface provided according to enterprise (is standardized using OPC DA from DCS
The data frequency acquired in system can reach 1 time/second), the OPC DA server framework realized using VC++ programming, from dress
The control system set or enterprise real-time data library acquisition operation real time data, and the real time data table of Refresh Servers, simultaneously will
Real time data is stored in the historical data table of each parameter using the time as sequence.Each variable saves in server real time data table
10000 data, and every runing time by 1000 data rolls and updates a real-time data base.
The acquisition of device operation account data: it using the interface in enterprise real-time data library, builds operation account data and adopts
Collect server, connect real-time data base, reads the operation account data of event triggering form.Each event include operating instruction with
Timestamp.
Data prediction: standard normalized is carried out using raw operational data of the VC++ programming to acquisition, and is examined
Whether there are data incomplete, if any incompleteness, then take and be filtered using period data above and below the variable, using being manually entered
Rule determine data whether mistake, such as there is wrong data, handled as incompleteness.Wherein normalized is to original number
According to linear transformation, be mapped to end value between [0,1].Transfer function is as follows:
Wherein min is the minimum value in current data, and max is maximum value.Whether it is that null sentences that incompleteness is examined using data
Disconnected, wrong data is examined using whether numerical value is judged in feasible region that wherein feasible region is usually arranged as all fortune
The maximum value and minimum value of row parameter.Filtering processing uses the side of the mean value of 4-8 numerical point near missing or error number strong point
Method.
Operate account analysis: parsing operation account data screens all operation accounts being likely to occur, chooses it
The type of middle instruction device operating status, as target data.The operation account acquired in real time is parsed, appearance is worked as
When target data, its corresponding operating status and timestamp are passed into alarm system.
Adaptive dead zone range computation: to each alarm variable, choosing the operation history data of a period of time, calculates it absolutely
To deviation average ε.
Wherein n is the number of sample, xiFor i-th of data, mean is the average of sample.Select 2 times of absolute deviations flat
Mean is dead zone range, i.e., is alarm dead band in 2 times of absolute deviation averages above and below alarming line, and the width in dead zone is 4 times
Absolute deviation average.Length of history data is set as 1000 numerical value.Data source is 2 beats/min, then length of history data is
500 points.In addition the variable shorter for the operating status period, its of length no more than most short operating status of historical data when
It is long.
Alarm system with adaptive dead zone setting: inside and outside two alarming lines are set near original alarming line.When
When operating parameter is more than outside alarming line, alarm is opened；When operating parameter returns inside alarming line, alarm stops.Parameter exists
When shaking between inside and outside two alarming lines, the record that alarm or alarm are eliminated is not generated.When alarm system receives operation account clothes
When the signal that business device transmits, analysis changes the position number of operating status, and updates the dead time of these number.More with operating status
Change timestamp and choose the operation history data of regular length for starting, and using the method for 2 times of absolute deviation average, to dead
Area is configured.
[comparative example]
Using the operation data of certain flow (FI0801) in certain refinery's device DCS system, sampling period 1s, interception connects
5760 continuous sampled datas.
Alarm quantity in the case of not set dead zone:
Operation data is higher than high line and generates raw alarm, and numerical value is shown as 1；Operation data generates original report lower than low line
Alert, numerical value is shown as -1；It does not alarm between high line and low line, numerical value is shown as 0.High line of alarming is 75, the low line of original alarm
It is 5, when not set dead zone, wherein high report number is 33, low report number is 44.
Alarm quantity after adaptive dead zone is set:
In the case where not changing operating status, dead zone is set for above-mentioned alert data, selects 2 times of absolute deviations of sample flat
Range of the mean as dead zone, height report number is 12, and low report number is 0.In this example, when alarm system setting is adaptive dead
The case where Qu Hou, more not set dead zone, high alarm times reduce 63.6%, and low alarm times reduce 100%, total to alarm
Number reduces 84.4%.This method effectively reduces the quantity of redundant warning, improves the alarm accuracy of alarm system.
Claims (8)
1. a kind of petrochemical process alarm system adaptive dead zone setting method based on multi-source data, including device multi-source data
Real-time acquisition platform is built, the acquisition of device operation account data, data prediction, operates account analysis, adaptive dead zone model
Calculating is enclosed, the alarm system with adaptive dead zone setting, the data and operation account data acquisition of real-time acquisition platform acquisition
The data of collection of server carry out operation account data parsing after pretreatment, and target data is sent to alarm system,
Adaptive dead zone range computation is carried out, dead zone is configured in the alarm system with adaptive dead zone setting.
2. the petrochemical process alarm system adaptive dead zone setting method based on multi-source data according to claim 1, special
Sign is that the real-time acquisition platform of device operation data is built: the data acquisition interface provided according to enterprise is programmed using VC++
The OPC DA server framework realized runs real time data from the control system of device or the acquisition of enterprise real-time data library,
And the real time data table of Refresh Servers, while real time data being stored in the historical data table of each parameter using the time as sequence.
3. the petrochemical process alarm system adaptive dead zone setting method based on multi-source data according to claim 2, special
Sign is in real-time data base that sample frequency is 1 beat/min or 2 beats/min, is acquired from DCS system using OPC DA specification
Data frequency be 1 time/second.
4. the petrochemical process alarm system adaptive dead zone setting method based on multi-source data according to claim 1, special
Sign is the acquisition of device operation account data: using the interface in enterprise real-time data library, building operation account data acquisition
Server, connect real-time data base, read event triggering form operation account data, each event include operating instruction and when
Between stab.
5. the petrochemical process alarm system adaptive dead zone setting method based on multi-source data according to claim 1, special
Sign is data prediction: carrying out standard normalized using raw operational data of the VC++ programming to acquisition, and inspection is
It is no to have data incomplete, if any incompleteness, then takes and be filtered using period data above and below the variable, utilize what is be manually entered
Rule determine data whether mistake, such as there is wrong data, handled as incompleteness.
6. the petrochemical process alarm system adaptive dead zone setting method based on multi-source data according to claim 1, special
Sign is to operate account analysis: parsing operation account data is screened all operation accounts being likely to occur, is chosen wherein
The type of instruction device operating status, as target data；The operation account acquired in real time is parsed, when there is mesh
When marking data, its corresponding operating status and timestamp are passed into alarm system.
7. the petrochemical process alarm system adaptive dead zone setting method based on multi-source data according to claim 1, special
Sign is adaptive dead zone range computation: to each alarm variable, choosing the operation history data of a period of time, calculates it absolutely
Deviation average, selecting 2 times of absolute deviation averages is dead zone range, i.e., above and below alarming line in 2 times of absolute deviation averages
It is alarm dead band, the width in dead zone is 4 times of absolute deviation averages；In addition the variable shorter for the operating status period, goes through
The duration of its of length no more than most short operating status of history data.
8. the petrochemical process alarm system adaptive dead zone setting method based on multi-source data according to claim 1, special
Sign is the alarm system with adaptive dead zone setting: inside and outside two alarming lines being arranged near original alarming line；Work as fortune
When row parameter is more than outside alarming line, alarm is opened；When operating parameter returns inside alarming line, alarm stops；Including parameter
When shaking between outer two alarming lines, the record that alarm or alarm are eliminated is not generated；When alarm system receives operation account service
When the signal that device transmits, analysis changes the position number of operating status, and updates the dead time of these number；It is changed with operating status
Timestamp is starting, the operation history data of regular length is chosen, and using the method for 2 times of absolute deviation average, to dead zone
It is configured.
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