CN103970109A - Flow reappearing visualization method based on industrial field data under Web environment - Google Patents

Flow reappearing visualization method based on industrial field data under Web environment Download PDF

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CN103970109A
CN103970109A CN201410228008.3A CN201410228008A CN103970109A CN 103970109 A CN103970109 A CN 103970109A CN 201410228008 A CN201410228008 A CN 201410228008A CN 103970109 A CN103970109 A CN 103970109A
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data
flow process
valid data
visualization
flow
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CN103970109B (en
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张可
柴毅
焦春晓
温大军
付雪青
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Chongqing University
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The invention discloses a flow reappearing visualization method based on industrial field data under a Web environment. The method comprises the steps of (1) performing visual modeling on an industrial production flow; (2) extracting effective data; (3) outputting a standard data format; (4) constructing a visual mapping; and (5) performing displaying and operation at a browser end. According to the flow reappearing visualization method, a complicated and invisible industrial flow can be visually displayed to specific target people by applying a multi-view model, and the shortcomings of low cross-platform property, complicated operation use and the like of a conventional C/S architecture are overcome.

Description

Flow process based on industry spot data under Web environment is reappeared method for visualizing
Technical field
The present invention relates to information management technique field, particularly a kind of method for visualizing reappearing for industry spot flow process.
Background technology
At present in commercial production flow process, generally there is the features such as multivariate, complicacy, coupling, uncertainty, particularly some production run has certain high risk, ornamental not, if therefore can pass through data-driven, commercial production flow process is carried out to visual demonstration, represent intuitively to work on the spot person or training employee, improve industry spot operator's awareness of safety and safe precaution measure, just seem particularly important.Be applied at present the flow path visual scheme in commercial production, major part is Software tool, simulation animation and the production procedure schematic diagram based on C/S framework.These three kinds of schemes to a certain extent, play a good role for the visual demonstration aspect of commercial production flow process.But in use, their shortcoming is obvious too.
Based on the software of C/S framework, need to install and could use, part software is had relatively high expectations to hardware environment, also needs to build software environment, user to use operation comparatively loaded down with trivial details when use, has limited its user group; The maintenance cost of the software based on C/S framework is higher, maintenance workload is larger, and in the time that industrial flow changes, the every upgrading of software version once, all will be experienced a construction cycle again, and user need to reinstall software simultaneously; Based on the software of C/S framework, for different operating system, need to develop different versions, professional platform independence is poor; The Scalable Performance of software is poor in addition.
The shortcomings such as simulation animation, as showing the conventional method of industrial flow, often needs by complicated modeling process on stream, and workload is larger, and simulation animation also has poor operability simultaneously, and interactivity is low.If industrial flow variation, needs modeling again, waste time and energy.
Production procedure schematic diagram, as a static way of presentation, can describe industrial flow process intuitively.But for the Dynamic mode in production procedure, it lacks effective way of presentation; In the time that production procedure is comparatively complicated, flow sheet is difficult to the internal operation mechanism of complete description flow process.
Summary of the invention
Object of the present invention is just to provide the flow process based on industry spot data under a kind of Web environment and reappears method for visualizing, it can be by complicated, inconsiderable industrial flow, application multiple view model, show intuitively specific objective crowd, overcome that professional platform independence under traditional C/S framework is poor, operation is used the shortcomings such as loaded down with trivial details simultaneously.
The object of the invention is to realize by such technical scheme, concrete steps are as follows:
1) commercial production flow process is carried out to visual modeling;
2), the raw data gathering from industry spot, utilize data digging method extracted valid data;
3) valid data that extract are processed to processing, outputting standard data layout;
4) to step 3) the middle normal data of exporting, set up visualization mapping;
5) by step 4) in visualization mapping and step 1) in visual modeling, show and operate at browser end.
Further, step 1) described in the concrete steps of visual modeling as follows:
1-1) determine the critical process in each flow process of commercial production and affect the parameter of processing quality, specifying time and spatial relationship between the each flow process of commercial production;
1-2) according to step 1-1) time and the spatial relationship of the definite each flow process of commercial production, respectively each flow process is carried out to modeling, by the tie point between each flow process, model is optimized, generate Visualization Model.
Further, step 2) described in the method for extracted valid data be:
2-1) raw data is screened, determine the key parameter in raw data, and correlation rule between key parameter, according to key parameter extracted valid data;
2-2) according to the correlation rule between key parameter, set up the relational model between valid data;
2-3) according to step 2-1) in the valid data and the step 2-2 that extract) in the relational model set up, the efficient database logical organization that is identified for storing valid data, arranges storage organization and the method for efficient database, sets up efficient database;
2-4) by step 2-1) in extract valid data deposit in efficient database.
Further, step 3) described in valid data process process concrete grammar be:
3-1) according to the correlation rule of valid data, valid data are carried out to clustering processing, valid data are divided into multiple kinds;
3-2), by the valid data after dividing, distribute according to the time of production procedure and spatial relationship, generate standard data format.
Further, the concrete grammar of setting up visualization mapping is: according to the result after clustering processing, normal data and Visualization Model are set up to mapping relations.
Further, step 5) described in show and the step method that operates is at browser end:
5-1) use webpage development technology, to the visual layout of carrying out of front end;
5-2) use JavaScript and Ajax technology, the Visualization Service that visualization mapping is provided is assembled, and carry out visual exhibition and look, and the asynchronous data that realizes browser end refreshes and interactive function at browser end.
Owing to having adopted technique scheme, the present invention has advantages of as follows:
1, the present invention utilizes data-driven, reduces to the full extent the truth of industry spot flow process.According to priori and expertise, from industry spot raw data base, excavate, extract the valid data in industry spot flow process, by data-driven version, reduce really the detailed process of industry spot, and parameter situation of change in Observable flow process, the contrast situation between different parameters;
2, the visualization scheme providing, has the features such as good interactivity, dynamic and visual effect be functional.Set up the Visualization Model of industrial flow by correlation techniques such as saleable vector graphics SVG, Flash, and with the mutual propelling between the each flow process of data-driven industry, user can facilitate, in Visualization Model, carry out intuitively the operation relevant to commercial production flow process, has good interactive performance and effect of visualization;
3, adopt multiple view model, can show from multi-angle for parameter information, more refinement the situation of change of parameter in flow process.Simultaneously can also carry out the demonstration of multiparameter view, by the contrast situation of parameter, make user better understand in commercial production flow process each parameter with the change situation of the propelling of technological process;
4, based on B/S framework, the software of the C/S framework of comparing traditional, there is the advantages such as cross-platform performance is good, easy and simple to handle, development and maintenance cost is lower, without the operating system exploitation different editions for different, after system is issued in addition, user is without mounting software environment, just can remote access, and easy largely user's use operation;
5, there is the functions such as fault recurrence, analysis of failure and failure prediction for commercial production flow process, can be commercial production powerful guarantee is provided.By the driving of historical data, when reduction fault occurs, the truth of industry spot, judges the node breaking down in commercial production flow process.And by for the analysis of malfunctioning node, the fault in industrial flow is from now on predicted, guarantee commercial production safety, carry out in order.
Other advantages of the present invention, target and feature will be set forth to a certain extent in the following description, and to a certain extent, based on will be apparent to those skilled in the art to investigating below, or can be instructed from the practice of the present invention.Target of the present invention and other advantages can be realized and be obtained by instructions and claims below.
Brief description of the drawings
Brief description of the drawings of the present invention is as follows.
Fig. 1 is schematic flow sheet of the present invention;
Fig. 2 is that under Web environment, the flow process based on industry spot data is reappeared visual three coating systems Organization Charts.
Embodiment
Choose liquefied natural gas (LNG), i.e. liquefied natural gas, LNG, as an example, concrete implementation step is as follows for the operating process of filling industry spot:
1) LNG filling execute-in-place flow process is carried out to visual modeling, describe the process of the on-the-spot substantial length of operation of filling with normal process figure figure or PAD figure, and according to actual flow operations, use vector graphics, as SVG form, the visualized operation pel of the each flow process of technology to drawing;
2) from the raw data of LNG filling collection in worksite, utilize the data digging methods such as monoid differentiation, regretional analysis, correlation rule, changing features and variance analysis, and with reference to priori storehouse extracted valid data;
3) to 2) in extract the LNG on-the-spot valid data of annotating and process processing, outputting standard data lattice
4) to step 3) the middle normal data of exporting, set up visualization mapping;
5) by step 4) in visualization mapping and step 1) in the modeling of LNG filling flow path visual, show and operate at browser end.
Further, step 1) described in the concrete steps of visual modeling as follows:
1-1) determine the critical process in each flow process of commercial production and affect the parameter of processing quality, specifying time and spatial relationship between the each flow process of commercial production.According to the working specification of LNG filling station and practical operation flow process, the workflow that conclusion sums up LNG filling station is: the flow process of unloading, storage tank regulating process, filling and precooling flow process, pressure release flow process.The time sequencing of each flow process is followed successively by: the flow process of unloading, storage tank regulating process, filling and precooling flow process, pressure release flow process, the key parameter type relating in each technological process, be mainly: temperature, pressure, flow, liquid level, switching value, be mainly the switching value of valve.
1-2) according to step 1-1) definite operating process, according to the equipment in practical operation, the parameters such as pipeline, gasifier, pump, instrument of annotating, utilize vector graphics correlation technique to carry out pel drafting, and add pel storehouse, in visual modeling process, according to the optimization criteria of data visualization, flow path visual, taking the work relationship of real work flow time shut sequence and each equipment room as reference, drawn pel storehouse is screened, connected, complete LNG filling process modeling.
Further, step 2) described in the method for extracted valid data be:
2-1) the LNG on-the-spot raw data of annotating is screened, determine the key parameter in raw data, and correlation rule between key parameter, according to key parameter extracted valid data.According to the situation of reality investigation, determine the key parameter type and the key parameter title that need extraction, for example, in the flow process of unloading, need to extract pressure, the temperature in tank wagon storage tank, the flow of immersed pump, pressure, temperature, the parameters such as the switching value of valve; Can be according in same flow process, corresponding same equipment, the correlation parameter that need are extracted carries out association, and example is unloaded in flow process, and the parameter relevant to tank wagon storage tank has pressure, temperature, flow, switching value etc.Set up thus the priori storehouse of parameter and parametric relationship, set up and provide support for data relationship model.
2-2), according to the correlation rule between key parameter in LNG filling flow process, set up the relational model between valid data.According to 2-1) determined priori storehouse, between apparatus for establishing-parameter one to one, one-to-many model, the parameter that routine immersed pump is corresponding has pressure, flow etc.; The parameter of distinct device, sets up contact according to the type of relationship of parameter, between the pressure of routine storage tank and immersed pump pressure etc.
2-3) according to step 2-1) in the valid data and the step 2-2 that extract) in the relational model set up, the efficient database logical organization that is identified for storing valid data, arranges storage organization and the method for efficient database, sets up efficient database.According to 2-1) key parameter and 2-2 in definite LNG filling flow process) in the relational model set up, determine the annotate storage organization of on-the-spot valid data parameter of all LNG, and carry out screening, the classification of data, according to screening valid data later, set up valid data database.
2-4) by step 2-1) in extract LNG filling process in on-the-spot valid data deposit valid data database in.
Further, step 3) described in valid data process process concrete grammar be:
3-1) according to the correlation rule of valid data, valid data are carried out to clustering processing, valid data are divided into multiple kinds.Mainly contain two kinds of methods, one: according to step 2-3) described relational model, the parameter classification of interlock characteristic that what cluster wherein comprised have.Its two: according to the type of parameter, classify.For example, for parameters such as multiple temperature of same equipment LNG tank wagon storage tank, pressure, flows, according to parameter type, parameter of the same type is carried out to clustering processing.
3-2), by the valid data after dividing, distribute according to the time of production procedure and spatial relationship, generate standard data format.According to the LNG on-the-spot operating process of annotating, and the space distribution of relevant device, determine the supplemental characteristic and the supplemental characteristic form that need.Unloading in flow process in LNG filling flow process, involving equipment has immersed pump, tank wagon storage tank, station low temperature storage tank etc.Can determine thus the parameter that current flow process is required, set up alphabetic data form based on timeline, form data interaction interface.
Further, set up the method for visualization mapping: according to the result after clustering processing, normal data and Visualization Model are set up to mapping relations.Data are through after cluster, and data of the same type have one or more selectable pel effect of visualization.For example, with the parameter of temperature correlation, adopt the pel ways of presentation of class thermometer; The parameter relevant with pressure, adopts the ways of presentation of instrument pel etc.Set up thus the mapping scheme of supplemental characteristic and pel, in conjunction with LNG filling procedural model type, generate each dynamic interaction module, reach the visual object of valid data.
Further, step 5) described in show and the step method that operates is at browser end:
5-1) front end visual layout.Pel storehouse and visual presentation part are arranged on front-end interface by demand, conventionally adopt the pattern of control panel and master control interface.Control panel, is mainly responsible for the setting of the action button of LNG filling flow process current interface, controls the motion of current interface pel.For example, the flow process of unloading control panel, is mainly responsible for unloading in flow process, the parameter of equipment and the demonstrations of corresponding operating such as tank wagon storage tank, immersed pump, filling pipeline.Master control interface is displaying and the operation of being responsible for the macroscopic information of whole LNG filling flow process.
5-2) by JavaScript and Ajax technology, drive by step 3-2) described dynamic interaction module, carry out data to figure at browser end to such an extent as to look to the visual exhibition of flow process.
Flow process based on industry spot data under Web environment is reappeared visualization scheme design and is mainly divided into three coating systems: back-end data processing layer, middle visualization mapping layer, front end show operation layer.The design proposal of stratification, can guarantee in data flow process, and the division of labor of each level, cooperation finally reach the function that flow path visual reappears.Back-end data processing layer, mainly carries out excavation and the processing of data, for middle visualization mapping layer provides standardized data layout.Middle visualization mapping layer, the main visual scheme that represents of being responsible for each supplemental characteristic, comprises most multiple view models according to single-view model and forms data.Front end shows that operation layer is responsible for the visualization scheme of back-end data processing layer and middle visualization mapping layer intuitively to show, and provides operation interface for user.
Finally explanation is, above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although the present invention is had been described in detail with reference to preferred embodiment, those of ordinary skill in the art is to be understood that, can modify or be equal to replacement technical scheme of the present invention, and not departing from aim and the scope of the technical program, it all should be encompassed in the middle of claim scope of the present invention.

Claims (6)

  1. Flow process based on industry spot data under 1.Web environment is reappeared method for visualizing, it is characterized in that, concrete steps are as follows:
    1) commercial production flow process is carried out to visual modeling;
    2), the raw data gathering from industry spot, utilize data digging method extracted valid data;
    3) valid data that extract are processed to processing, outputting standard data layout;
    4) to step 3) the middle normal data of exporting, set up visualization mapping;
    5) by step 4) in visualization mapping and step 1) in visual modeling, show and operate at browser end.
  2. 2. under Web environment as claimed in claim 1, reappear method for visualizing based on the flow process of industry spot data, it is characterized in that step 1) described in the concrete steps of visual modeling as follows:
    1-1) determine the critical process in each flow process of commercial production and affect the parameter of processing quality, specifying time and spatial relationship between the each flow process of commercial production;
    1-2) according to step 1-1) time and the spatial relationship of the definite each flow process of commercial production, respectively each flow process is carried out to modeling, by the tie point between each flow process, model is optimized, generate Visualization Model.
  3. 3. under Web environment as claimed in claim 2, reappear method for visualizing based on the flow process of industry spot data, it is characterized in that step 2) described in the method for extracted valid data be:
    2-1) raw data is screened, determine the key parameter in raw data, and correlation rule between key parameter, according to key parameter extracted valid data;
    2-2) according to the correlation rule between key parameter, set up the relational model between valid data;
    2-3) according to step 2-1) in the valid data and the step 2-2 that extract) in the relational model set up, the efficient database logical organization that is identified for storing valid data, arranges storage organization and the method for efficient database, sets up efficient database;
    2-4) by step 2-1) in extract valid data deposit in efficient database.
  4. 4. under Web environment as claimed in claim 3, reappear method for visualizing based on the flow process of industry spot data, it is characterized in that step 3) described in the valid data concrete grammar of process processing be:
    3-1) according to the correlation rule of valid data, valid data are carried out to clustering processing, valid data are divided into multiple kinds;
    3-2), by the valid data after dividing, distribute according to the time of production procedure and spatial relationship, generate standard data format.
  5. 5. under Web environment as claimed in claim 4, the flow process based on industry spot data is reappeared method for visualizing, it is characterized in that, the concrete grammar of setting up visualization mapping is: according to the result after clustering processing, normal data and Visualization Model are set up to mapping relations.
  6. 6. under Web environment as claimed in claim 5, reappear method for visualizing based on the flow process of industry spot data, it is characterized in that step 5) described in show and the step method that operates is at browser end:
    5-1) use webpage development technology, to the visual layout of carrying out of front end;
    5-2) use JavaScript and Ajax technology, the Visualization Service that visualization mapping is provided is assembled, and carry out visual exhibition and look, and the asynchronous data that realizes browser end refreshes and interactive function at browser end.
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CN104156532A (en) * 2014-08-15 2014-11-19 东南大学 Generic architecture visual modeling method based on multi-dimensional bus
CN104156532B (en) * 2014-08-15 2018-05-15 东南大学 A kind of common architecture visual modeling method based on multidimensional bus
CN104580474A (en) * 2015-01-13 2015-04-29 深圳市融创天下科技有限公司 Urban operation sign big data visualization multi-screen interaction display platform and method
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CN109313739B (en) * 2016-06-21 2022-06-14 亚马逊技术股份有限公司 System and method for providing visualization of workflow
CN107422705A (en) * 2017-10-19 2017-12-01 浙江大学滨海产业技术研究院 Industrial data analysis method based on process modeling and the application in production of phosphate fertilizer
CN108536566A (en) * 2018-03-29 2018-09-14 重庆大学 A kind of dynamic and visual method of system equipment critical processes
CN112115196A (en) * 2020-08-06 2020-12-22 中海创科技(福建)集团有限公司 Industrial big data visual modeling method and system

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