CN102866894A - Comparative analysis method for industrial production procedure value trend - Google Patents
Comparative analysis method for industrial production procedure value trend Download PDFInfo
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- CN102866894A CN102866894A CN2012103698923A CN201210369892A CN102866894A CN 102866894 A CN102866894 A CN 102866894A CN 2012103698923 A CN2012103698923 A CN 2012103698923A CN 201210369892 A CN201210369892 A CN 201210369892A CN 102866894 A CN102866894 A CN 102866894A
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Abstract
The invention discloses a comparative analysis method for an industrial production procedure value trend, and belongs to the field of automatic control. The comparative analysis method includes steps of initiation: reading configuration parameters displayed by an analytical curve; industrial control network connection: connecting equipment with an industrial control automatic network to acquire information of data of industrial production procedures in real time; data acquisition: acquiring the real-time data of the industrial production procedures; and data analysis: analyzing characteristic parameters displaying industrial production procedure values. The comparative analysis method has the advantages that a standard curve of the industrial production procedure value trend is compared to the actual curve under the same coordinate system, or data of two optional production procedures are compared under the same coordinate system, so that different moments and different sizes of the two production procedures can be visually observed, and analysis and control for the production procedures and control for the quality of products are facilitated.
Description
Technical field
The present invention relates to the method for a kind of industrial processes value trend comparative analysis, belong to automation control area.
Background technology
In order to monitor complicated industrial processes, many industrial processes all can be divided into heat, water inferior or production batch, cause the reason of product quality variance for retrospective analysis, need to analyze the difference of production process parameters, the data of the identical production run of different time are put together contrast, can conveniently analyze production run and established standards operating mode or with reference to the difference of operating mode, and conveniently find out the reason of difference.Although many process automation supervisory systems all are furnished with process data collection storage and trend Presentation Function,, there is not yet provides the different constantly comparing functions of trend curve on the same figure.
Summary of the invention
For above-mentioned deficiency, the invention provides the method for a kind of industrial processes value trend comparative analysis, it can solve existing industrial control software does not have different constantly history curves to show, be not easy to the problem of different time batch identical production run variance analysis under same coordinate.
The present invention solves the technical scheme that its technical matters takes: the method for a kind of industrial processes value trend comparative analysis, it is characterized in that, and comprise following process:
The configuration parameter that analytic curve shows is read in initialization;
Connect industry control network, connect the industrial control automation network and carry out Real-time Obtaining industrial processes data message;
Data acquisition, the real time data of collection industrial processes;
The characteristic parameter that shows the industrial processes value is analyzed in data analysis.
The curve that in the said method, described configuration parameter comprises whether curve shows, curve color, font color and current selection will show.
In the said method, the process of described data acquisition may further comprise the steps:
Gather the real time data of industrial processes;
Judge that whether industrial processes restart new production run, if it is store data recording, otherwise change next step over to.
In the said method, the process of described data analysis may further comprise the steps:
Read the historical data of storage;
Show the comparison curve;
Analyze the indicating characteristic data.
In the said method, described comparison curve is for showing simultaneously two groups of different constantly data with curve mode under same coordinate.
In the said method, described characteristic comprises the generation moment of critical event and the parameter value at crucial moment.
The invention has the beneficial effects as follows: the present invention compares typical curve and the actual curve of industrial processes value trend under same coordinate, or the data of any twice production run are compared under same coordinate, find out intuitively the difference moment, the difference size of twice production run, be convenient to analysis and the control of production run, and the control of product quality.
Description of drawings
The invention will be further described below in conjunction with accompanying drawing:
Fig. 1 is program flow diagram of the present invention;
Fig. 2 is an example of practical application of the present invention.
Embodiment
As shown in Figure 1, the method for a kind of industrial processes value trend of the present invention comparative analysis may further comprise the steps:
Step 1, the work beginning.
Step 2, the configuration parameter that analytic curve shows is read in initialization; The curve that described configuration parameter comprises whether curve shows, curve color, font color and current selection will show.
Step 3 connects industry control network, if successful connection then change step 4 over to, otherwise would change step 5 over to.
Step 4 enters Implementation Modes, and changes step 6 over to.
Step 5, the operation off-line mode directly enters step 8.
Step 6, the real time data of collection industrial processes.
Step 7 is judged whether industrial processes restart new production run, if it is change step 8 over to, otherwise is changed step 9 over to.
Step 8, the storage data recording.
Step 9 reads the historical data of storage;
Step 10 shows the comparison curve, and described comparison curve is for showing simultaneously two groups of different constantly data with curve mode under same coordinate.
Step 11, according to comparison tracing analysis indicating characteristic data, described characteristic comprises the generation moment of critical event and the parameter value at crucial moment.
Whether step 12 withdraws from comparative analysis, if it is changes step 13 over to, proceeds compare of analysis otherwise change step 3 over to.
Step 13, end-of-job.
Fig. 2 is an example of practical application of the present invention.As shown in Figure 2, demonstration is an example of steelworks RH application of vacuum production run curve.The correlation curve that two selection windows in the upper right corner can be selected reference curve and contrast with it from the historical data of storage, the figure top shows the key feature data of two suite lines of autostore, the figure right side shows value data, can select to show or close certain bar curve and curve color etc.The curve of identical parameters that shows twice production run with graphics mode in the Curves Window is for comparative analysis, and the variation difference of the twice process key parameter that can visually see comprises moment that difference occurs, difference size, difference direction etc.This application example can show 17 pairs of parameters of curve, selects to have shown the curve of 5 pairs of process datas, i.e. vapor (steam) temperature, vapor pressure, steam flow, valve final vacuum degree 1, valve final vacuum degree 2; Can intuitively find out for the second time in the process 2 evenings fall time of valve final vacuum degree about 28 seconds, decline rate is considerably slower than for the first time, and final vacuum tightness is roughly the same.This example helps express-analysis to judge the application of vacuum process approximate location that reason is judged, vacuum system breaks down whether normal, vacuum tightness is unusual etc.
The present invention is by automatically gathering the industrial processes data with the industrial control automation network, repetition flag autostore by production run, namely production run produces a record in data file each time, can select to show the correlation curve of any two records at computer picture, can realize the contrast of identical production run different time history curve and history curve contrast, history curve and real-time curve, the difference moment, the difference size that shows twice production process data directly perceived provides foundation for analyzing production run or product quality variance.The present invention with the industrial processes data with the form of curve comparison at the computer picture display graphics, make things convenient for the technician that production run is analyzed.
Claims (6)
1. the method for industrial processes value trend comparative analysis is characterized in that, comprises following process:
The configuration parameter that analytic curve shows is read in initialization;
Connect industry control network, connect the industrial control automation network and carry out Real-time Obtaining industrial processes data message;
Data acquisition, the real time data of collection industrial processes;
The characteristic parameter that shows the industrial processes value is analyzed in data analysis.
2. the method for a kind of industrial processes value trend according to claim 1 comparative analysis is characterized in that, the curve that described configuration parameter comprises whether curve shows, curve color, font color and current selection will show.
3. the method for a kind of industrial processes value trend according to claim 1 comparative analysis is characterized in that the process of described data acquisition may further comprise the steps:
Gather the real time data of industrial processes;
Judge that whether industrial processes restart new production run, if it is store data recording, otherwise change next step over to.
4. the method for a kind of industrial processes value trend according to claim 1 comparative analysis is characterized in that the process of described data analysis may further comprise the steps:
Read the historical data of storage;
Show the comparison curve;
Analyze the indicating characteristic data.
5. the method for a kind of industrial processes value trend according to claim 4 comparative analysis is characterized in that, described comparison curve is for showing simultaneously two groups of different constantly data with curve mode under same coordinate.
6. the method for a kind of industrial processes value trend according to claim 4 comparative analysis is characterized in that, described characteristic comprises the generation moment of critical event and the parameter value at crucial moment.
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| CN2012103698923A CN102866894A (en) | 2012-09-27 | 2012-09-27 | Comparative analysis method for industrial production procedure value trend |
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| CN2012103698923A CN102866894A (en) | 2012-09-27 | 2012-09-27 | Comparative analysis method for industrial production procedure value trend |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105931128A (en) * | 2016-04-14 | 2016-09-07 | 中冶赛迪工程技术股份有限公司 | Method and device for monitoring heat loss of material at iron and steel manufacturing process interface |
| CN110825147A (en) * | 2019-12-24 | 2020-02-21 | 南通理工学院 | Intelligent temperature and humidity monitoring system and method |
| CN110955196A (en) * | 2018-09-27 | 2020-04-03 | 北京国双科技有限公司 | Processing method and system for production process index data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20040128225A1 (en) * | 2000-06-22 | 2004-07-01 | Globaltec Solutions, Llp | Apparatus and method for displaying trading trends |
| US20040133500A1 (en) * | 2000-06-22 | 2004-07-08 | Globaltec Solutions, Llp | Apparatus and method for displaying trading trends |
| CN101714192A (en) * | 2009-11-13 | 2010-05-26 | 航天东方红卫星有限公司 | Satellite test data processing system |
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- 2012-09-27 CN CN2012103698923A patent/CN102866894A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040128225A1 (en) * | 2000-06-22 | 2004-07-01 | Globaltec Solutions, Llp | Apparatus and method for displaying trading trends |
| US20040133500A1 (en) * | 2000-06-22 | 2004-07-08 | Globaltec Solutions, Llp | Apparatus and method for displaying trading trends |
| CN101714192A (en) * | 2009-11-13 | 2010-05-26 | 航天东方红卫星有限公司 | Satellite test data processing system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105931128A (en) * | 2016-04-14 | 2016-09-07 | 中冶赛迪工程技术股份有限公司 | Method and device for monitoring heat loss of material at iron and steel manufacturing process interface |
| CN105931128B (en) * | 2016-04-14 | 2019-03-22 | 中冶赛迪工程技术股份有限公司 | Monitoring method and device of the material in steel manufacturing procces interface thermal loss |
| CN110955196A (en) * | 2018-09-27 | 2020-04-03 | 北京国双科技有限公司 | Processing method and system for production process index data |
| CN110825147A (en) * | 2019-12-24 | 2020-02-21 | 南通理工学院 | Intelligent temperature and humidity monitoring system and method |
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Application publication date: 20130109 |