CN101952803A - User interface with visualization of real and virtual data - Google Patents
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Abstract
First acquired data that represents past values of one or more parameters is displayed in a user interface through which a user can monitor, control and predict system operations. Second acquired data that represents present values of the one or more parameters is displayed in the user interface. Virtual data that represents predicted future values of the one or more parameters is displayed in the user interface, wherein the first acquired data, the second acquired data and the virtual data are presented with a unified visual appearance such that a relationship between the past values, present values and predicted future values is visually indicated.
Description
Technical field
Specific embodiments of the invention relate to a kind of user interface, relate more specifically to a kind of visual graphic user interface that shows to true and virtual data.
Background technology
In most of manufacturing environments, use reaction equation maintenance and quality control strategy when problem takes place, carrying out maintenance.The example of this reaction equation strategy comprise statistical Process Control (Statisticalprocess control, SPC) and Advanced process control (Advanced process control, APC).The shortcoming of reaction equation strategy is afterwards just can respond these problems what problem had taken place for them.Therefore, can cancel owing to this problem causes product, machine can't be commanded, and can be consumed employee's man-hour etc.
For the preceding strick precaution that takes place in problem, some manufacturing environments are implemented the predictability strategy.This kind predictability strategy is a following numerical value of wanting simulation parameter.But, visual, the software of the emulation of these following numerical value and/or hardware enforcement etc. all with those independent and differences to some extent of past that shows this manufacturing environment and present numerical value.Therefore these emulation are not integrated in the employed information in plant area, and use with in the obtainable different data of plant area.If the slip-stick artist wants to watch the following numerical value of prediction, he must carry out first application program that these predictions are provided.But if the slip-stick artist wants to watch over or present numerical value, he must carry out independently second application program that this information is provided.Usually, emulation application can with present in the past and the employed different mode of application program of present numerical value and different control present data.
The emulation solution also is subjected to its time point in appointment and carries out the influence as the approximate mould shape of the static state of system that emulation is used.Therefore, the result that produced in problem investigation of these emulation is based on out-of-date or old data often.Though these emulation still have value, they are insincere often, therefore only are used as supplemental information and fict prediction.
Description of drawings
The present invention illustrates by way of example, and non-limiting, in appended accompanying drawing:
Figure 1A shows and can move the exemplary architecture of manufacturing environment of specific embodiments of the invention;
Figure 1B shows the entity relationship diagram according to the database profile of the specific embodiment of the invention;
Fig. 2 A shows first view according to the user interface of the specific embodiment of the invention;
Fig. 2 B shows second view of the user interface of another specific embodiment according to the present invention;
Fig. 3 shows the three-view diagram of the user interface of another specific embodiment according to the present invention;
Fig. 4 A shows the 4th view of the user interface of the another specific embodiment according to the present invention;
Fig. 4 B shows the 5th view of the user interface of the another specific embodiment according to the present invention;
Fig. 5 shows the process flow diagram of specific embodiment of the method for dynamic generation virtual data;
Fig. 6 shows the process flow diagram of specific embodiment of the method for demonstration obtains on user interface data and virtual data; And
Fig. 7 shows the block diagram according to the exemplary computer system of the specific embodiment of the invention.
Embodiment
Described herein is method and the device that is used to provide user interface, data that the user can watch simultaneously and decipher obtains (for example from data of sensor, test machine, input etc.) and virtual data.In a specific embodiment, represent one or more parameters past numerical value first obtain that data are displayed on that the user can monitor, on the user interface of control and prognoses system operation.Second of the present numerical value of representation parameter is obtained data and is displayed on the user interface.Represent the virtual data of following numerical value of the prediction of one or more parameters to be displayed on the identical user interface.In a specific embodiment, represent that the quality pointer of the order of accuarcy of this virtual data also is presented on the user interface.This virtual data and this quality pointer can upgrade as time passes.In a specific embodiment, this first obtains that data, second obtain data and this virtual data presents with unified visual appearance, make numerical value in the past, numerical value and prediction at present following numerical value between the pass be that available visual manner is represented.This first is obtained data, second and obtains data and virtual data and can represent with figure, transparent print, animation and/or report manner simultaneously.
In the following description many details can be proposed.But it will be understood by a person skilled in the art that the present invention can not utilize these specific detail to implement.In some instances, structure of knowing and device show with the block diagram form, but not show with details, obscures with the present invention avoiding.
Some of following detailed description partly are to present with the algorithm of the computing of data bit in the calculator memory and the mode that symbolic expression is represented.Unless statement is specifically arranged in addition, from following discussion, can clearly recognize the term that in the discussion of whole instructions, utilizes, for example " demonstration ", " reception ", " merging ", " generation ", " renewal " etc., all represent computer system or the similarly action and the processing of electronic operation device, its data-switching that can handle and will be expressed as physics (electronics) amount in the buffer of this computer system and the internal memory becomes other data, is expressed as computer system memory like other data class, or buffer, or other information memory for example, physical quantity in transmission or the display device.
The invention still further relates to execution apparatus operating herein.This equipment can the construction especially for needed purpose, or this equipment can be the general-using type computing machine, and it is optionally activated or reconfigured by the computer program that is stored in this computing machine.This computer program can be stored in the computer readable storage media, disc such as but not limited to any kind of, comprise floppy disk, CD, CD-ROM and magneto-optical disc, ROM (read-only memory) (Read-only memory, ROM), random access memory (Random access memory, RAM), EPROM, EEPROM, magnetic or optical card, or the medium that is applicable to stored electrons instruction of any kind of, its each all be coupled to computer system bus.
Algorithm presented herein and be presented at and be not relevant to any certain computer or miscellaneous equipment in essence.But according to the multiple general-using type of instruction herein system service routine, or the equipment more becomed privileged of construction is carried out needed method step easily.The needed structure of various such systems will propose in the following description.In addition, the present invention does not describe with reference to any specific sequencing language.Should understand and to use multiple sequencing language to implement instruction of the present invention described herein.
The present invention can provide computer program or software, wherein can comprise the machine-readable medium that stores instruction thereon, and it can be used for programmed computer system (or other electronic installation) and carries out according to process of the present invention.Machine-readable medium comprises and stores or be transmitted in form any mechanism that can read information by machine (for example computing machine).For example, machine readable is got (for example embodied on computer readable) medium and is comprised that machine (for example computing machine) memory medium capable of reading (for example ROM (read-only memory) (ROM), random access memory (RAM), disc storage medium, optical storage medium, flash memory device etc.), machine (for example computing machine) can read transmission medium (the transmission signal of electronics, optics, acoustics or other form (for example carrier wave, infrared signal, digital signal etc.)) or the like.
Figure 1A illustrates the exemplary architecture 100 of the manufacturing environment that wherein can operate specific embodiments of the invention.This manufacturing environment can be semiconductor fabrication environment, automobile making environment etc.In specific embodiment, framework 100 comprises one or more supply chain databases 120, one or more customer database 115, manufacturing execution system (the Manufacturing execution system that connects via network 125, MES) 110 and manufacturing information and control system (Manufacturing information and controlsystem, MICS) 105.
Network 125 can be a common network (for example internet), private network (for example Ethernet or LAN (Local area network, LAN)) or its combination.Network 125 can comprise a plurality of private networks, and it can directly connect or connect via common network.For example, supply chain database 120 can be connected to first private network by supplier's control, and customer database 115 can be connected to second private network by client's control, and MICS 105 and MES 110 can be connected to the 3rd private network.Each of these private networks can connect via a common network.
The information that supplier or dealer can use and/or be provided is provided supply chain database 120.These information can comprise the date of delivery of for example supplier's order (for example part and goods orders), supplier inventory (for example present stock, anticipation inventory etc.), expection etc.When a plurality of dealers or supplier obtain data, framework 100 can comprise a plurality of supply chain databases 120.For example, the first supply chain database can comprise the information of original article, and the second supply chain database can comprise the information of manufacturing equipment.
The information that client can use and/or be provided is provided customer database 115.This information can comprise that for example client is to specific manufacturing object, client stock's etc. demand.Framework 100 can comprise a plurality of clients' single customer database 115, or many customer databases 115, its each information about different clients is provided.
(Manufacturing execution system, MES) 110 for being used in the system of measuring and control activity in production in the manufacturing environment for manufacturing execution system.MES 110 can control part activity in production (for example crucial manufacturing activities) or all activities in production of one group of manufacturing equipment (for example all lithographic equipments in the semiconductor manufacturing facility), manufacturing facility (for example automobile production factory), whole company etc.MES 110 can comprise artificial and computerize off-line and/or online trading disposal system.This system can comprise manufacturing machine, measurement apparatus, client arithmetic unit, server operation device, database etc., and its executable function for example is process, device traces back, sends worker's (for example determining those materials to deliver to those processes), product pedigree, labourer to follow the trail of (for example individual scheduling), stock control, cost, Electronic Signature seizure, defective and resolution monitoring, supervision of crucial usefulness pointer and alarm, safeguard scheduling or the like.
In specific embodiment, MES 110 is connected to one or more MES data shop 130.The data management that MES data shop 130 can be database, archives economy or goes up other in Nonvolatile memory (for example Winchester disk drive, magnetic tape station, CD-ROM drive etc.), volatile ram (for example random access memory (RAM)) or its combination.Each MES data shop 130 can store the historical process information (for example chemical substance of temperature, pressure, use, process time etc.) of for example making prescription, plant maintenance history, stock etc.
(Manufacturing information and control system, MICS) 105 in conjunction with the different information from a plurality of separate sources (for example data shop), and present this information on single interface for manufacturing information and control system.MICS 105 can be used to obtain the understanding for this manufacturing environment, and can make the user determine the efficient of this manufacturing environment, and/or how to improve the whole of this manufacturing environment or its parts.MICS 105 also can be obtained inference, obtain reporting and/or moving by the information of this combination.For example, MICS 105 can provide bottleneck analysis as early warning system (for example predict waste material, open the beginning product heavily process etc.), asset management (for example reducing not scheduling Equipment Downtime) is provided, improves the enforcement of income difference etc.In specific embodiment, MICS 105 comprises data combiner 140, user interface 145, decision support module 155, execution module 160, fallout predictor 150 and real-time monitor 165.
Data combiner 140 merges from the past parameter value of a plurality of separate sources (for example data shop) and/or the data that obtain of parameter value, and the data that this obtains are rendered as coming from single Data Source.The merged mode of data that obtains from Data Source can according to obtain data between relation and decide.These relations can be defined by the user.Moreover, the merged source of data, and the merged mode of data can be made up by the user.Therefore, new data are spread and/or old data shop is removed because add, and data combiner 140 can be suitable for holding change.
In specific embodiment, data combiner 104 merges the data (for example inventory data shop, service data shop, metric data shop, process data shop etc.) from a plurality of MES data shop 130.In another specific embodiment, the data that data combiner 140 merges from supply chain database 120 and/or customer database 115.In another specific embodiment, data combiner 140 is merging real time data (for example from making machine and tolerance machine) when data are collected by real-time monitor 165.In another specific embodiment, data combiner 140 merges the virtual data that has been produced by fallout predictor 150.Data combiner 140 also can merge the data (for example by the data of input such as device operator, maintainer etc.) of manual input.
In specific embodiment, what data combiner 140 will merge obtains data storing in MICS data shop 135.In addition, data combiner 140 can be stored in the subclass of obtaining data of all merging MICS data shop 135.For example, data combiner 140 can be stored in the MICS data shop 135 producing the needed pooled data of virtual data.
The real time data that real-time monitor 165 is collected the present numerical value of one or more parameters.This real time data can be from being connected to sensor and the systematic collection of MICS 105 via network 125.Real-time monitor 165 can for example collected data from manufacturing equipment and tolerance equipment when these data produce.In specific embodiment, real-time monitor 165 provides this real time data to data combiner 140.
Fallout predictor 150 use (one or more assemblies of manufacturing execution system 110) past parameter values and/or at present parameter value merging obtain the virtual data of data with the following numerical value of generation Prediction Parameters.Fallout predictor 115 can be stored in the virtual data that is produced in the MICS data shop 135 then.Virtual data can produce and store, but does not influence the historical data shop of obtained data.Virtual data can wait and produce based on trend extrapolation, interpolation, emulation (for example modular form emulation).
The method, model and/or the algorithm that are used to produce virtual data can be according to the parameters of being predicted.For example, first realistic model can be used for predicting the future value of first parameter, and second realistic model can be used for predicting the future value of second parameter.
In specific embodiment, the future value of prediction special parameter needs access to arrive the past numerical value of this parameter.Also need access to influence the past numerical value of the correlation parameter of the parameter of wanting predicted.For example, the buffer length parameter value of predicting specific manufacturing installation can comprise that collection receives batch, send the worker batch, the regulation of similar manufacturing installation safeguards, the parameter value of the health statistics of similar manufacturing installation etc.
The following numerical value of prediction special parameter also can comprise the following numerical value of predicting correlation parameter.For example, for the pressure of prediction unit exactly, model at first needs to predict the following power and the gas flow rate of this device.What relevant future anticipation claimed herein is fictitious expansion.This fictitious expansion and non-virtual component (data that obtain) have the relation of one-to-many, and these non-virtual components each can be associated with one or more virtual components, the expression fictitious expansion can be applied to more than one data parameters.Therefore, single fictitious expansion (or combination of fictitious expansion) can be used for the prediction of a plurality of different parameters.Single fictitious expansion also can be associated with a plurality of predicted numerical value of single virtual data parameter.Fictitious expansion is applied to the consumption that the numerical value of a plurality of predictions can minimise data stores.
In specific embodiment, fallout predictor 150 produces quality of data pointer, and makes quality of data pointer related with this virtual data.Quality of data pointer may be embodied to the fictitious expansion of the special kenel with present or corresponding person of past.Quality of data pointer is represented the order of accuarcy of this virtual data.Quality of data pointer can comprise for example wrong rod, standard deviation, amount of variability, mean value etc.These quality of data pointers permission users recognize the confidence degree of this prediction, and utilize this prediction in the mode that quantizes.
Prediction more further extends to future, and the accuracy of this virtual data is lower.Therefore, this quality of data generally reduces in time, and transmits with quality of data pointer.As other fictitious expansion, quality of data pointer can with a plurality of parameter associations.For example, if the data delimiter comprises the upper limit and lower limit, and these are limited in the middle of a period of time for some data points to effectively, and this method allows all these data points to be attached to the single upper limit and lower limit combination.
Figure 1B shows the entity relationship diagram according to the database profile 170 of the specific embodiment of the invention.Database profile 170 can space, optimization data storehouse utilization, and virtual support expand in possible complex relationship.Database profile 170 comprises dummy data set 172, and it concerns group 176 and fictitious expansion group 174 shared relationship via first.Each virtual data parameter of dummy data set 172 can comprise unique identification (Identifier, ID), describer (title), numerical value (for example 10 degree), time mark, and/or one or more fictitious expansion.In specific embodiment, this unique identification entry is the main key of dummy data set 172, and this fictitious expansion entry is the external key of dummy data set 172.As the external key of dummy data set 172, this fictitious expansion entry can be linked to the virtual data parameter different members of fictitious expansion collection 174.Each fictitious expansion of fictitious expansion collection 174 can comprise unique identification (ID), describer (title), one or more expansion parameter and/or expand for one or more times.In specific embodiment, this unique identification entry is the main key of fictitious expansion group 174, and this time expansion entry is the external key of fictitious expansion group 174.As the external key of fictitious expansion collection 174, another different members that entry can be linked to fictitious expansion fictitious expansion group 174 is expanded in this time.
In one example, if for example the parameter of temperature is predicted with one second prediction granularity in one minute interval, then 60 predicted virtual data parameter values will be stored in the virtual data base.If for each prediction and calculation confidence pointer, then also can store 60 confidence pointers.If the 3-sigma upper limit and lower limit are only done calculating to each the 10th data point, then will store 6 (but not every person deposits 60) to the upper limit and the every person of lower limit, every person of these expansions is linked to 10 predicted numerical value via external key.If calculate the single absolute upper limit based on 3-sigma upper limit per minute, then the single numerical value of the absolute upper limit will be linked to 6 3-sigma upper limits (therefore being linked to all 60 predicted values).This extending method also allows the better simply follow-up renewal that re-constructs and predict extend information of predictive ability.
Get back to Figure 1A, data combiner 140 can merge the data that obtain of virtual data and merging.Virtual data with obtain data and can be merged, make this virtual data aim at the relevant data that obtain.Therefore, if for example this obtains the Database field of data represented machine buffer length, and this numerical value is just predicted, and this virtual data will be represented predicted machine buffer length.As the explanation of reference Figure 1B, the data field position was extended in future, extra qualification parameter can be linked to this data field position, with the more complete description (for example quality of data pointer, fictitious expansion etc.) that this predicted data is provided.Particularly, the expression of predicting quality (quality of data pointer) at least can be linked to this data predicted.
In specific embodiment, data that data combiner 140 will newly be obtained continuously and existing merged true and virtual data merge.These data that newly obtain can be real time data that receives from real-time monitor 165 and/or the excessive data that is added into MES data shop 130, supply chain database 120, customer database 115 etc.These data that newly obtain can replace partly virtual data (for example meeting under the situation of time mark of this virtual data in the time mark of these data that newly obtain).For example, in case predicted events takes place, the predicted numerical value of this incident can be replaced by actual value.
In specific embodiment, fallout predictor 150 uses dynamic prediction model to upgrade virtual data continuously.When new data were collected by data combiner 140 and merged, this new data can be used for using the forecasting techniques (for example model) of appointment to recomputate virtual data.Therefore, virtual data always can increase forecasting accuracy based on up-to-date data.Recomputate the prediction more accurately that following numerical value can be provided at every turn.In specific embodiment, recomputate virtual data and comprise and recomputate the quality of data pointer relevant with virtual data.In specific embodiment, recomputate virtual data and comprise the original virtual data of replacement.In addition, original virtual data can not be capped.
User interface 145 provides the merged interactive mode that obtains data and virtual data to show.Show that via these user can watch the past of this manufacturing environment, reach following numerical value at present.In specific embodiment, user interface 145 provides flexible visual capacity, and for example the drawing curve of clientization, transparent print, summary data, crucial usefulness pointer reach going deep into to the individual data point value.In another specific embodiment, user interface 145 provides animation information visual, so the dynamic perfromance of this information can be watched with the time format of compression.User interface 145 can and present virtual data and obtain data with the same way as access, thereby the cooperation historical data provides the instinct type access to data predicted.This quality of data pointer can provide extra information for the quality of virtual data of prediction, is superimposed upon on this virtual data visual.The specific embodiment of user interface 145 is described following in more detail with reference to Fig. 2 A-4B.
With reference to Figure 1A, decision-support logic parts 155 are offered suggestions and are made a strategic decision based on history and present mode of operation (for example passing by to reach the data that obtain of present numerical value).Decision-support logic parts 155 also can be offered suggestions and make a strategic decision based on future operation state (for example virtual data of following numerical value).Decision-support logic parts 155 can provide these suggestions and decision-making based on the business logic with one group of numerical value and result's coupling.This result for example makes the maintainer learn waiting machine failure, makes measurement result that process engineering Shi Dezhi is unusual etc.The result also can advise the action that will take.For example, this result can advise machine is carried out certain maintenance.
Actuating logic parts 160 are responsible for based on the output of decision-support logic parts 155 business system being taked action.The form of these actions is intelligent business rules, can be activated by the incident of real-time system incident, prediction or the activity of scheduling.For example, scheduling is carried out in actuating logic 160 maintenance to machine automatically when some numerical value is detected, automatically closing machine etc.
Though above-mentioned exemplary architecture 100 is manufacturing environments, specific embodiments of the invention also can be operated under other environment, for example investment environment (for example being used for transaction's stock, bond, foreign exchange etc.), research environment etc.In other environment, do not have manufacturing execution system, and what replace manufacturing information and control system can be research information and control system, investing tip and control system etc.But the function of data combiner 140, user interface 145, decision-support logic parts 155, actuating logic parts 160, fallout predictor 150 and real-time monitor 165 is not with environmental change.
Fig. 2 A-4B shows the exemplary view of user interface according to a particular embodiment of the invention, wherein the user can monitor, the operation of control and prognoses system.The example view of user interface can display parameter past numerical value and present numerical value obtain data.But the example view of user interface is the virtual data of the following numerical value of display parameter also.Some or all example view of user interface can be utilized unified visual appearance to present and obtain data and virtual data, and relation is represented by vision ground between feasible numerical value in the past, present numerical value and predicted numerical value.In specific embodiment, user interface is corresponding to the user interface 145 of Figure 1A.
With reference to Fig. 2 A, first view 200 of user interface illustrates the instrument panel view of at the appointed time putting the exemplary crucial usefulness pointer of place's manufacturing facility (factory) according to the specific embodiment of the invention.Crucial usefulness pointer comprises factory's production capacity, plant states, per hour works, very first time quality, manufacturing time, shut down time etc.Each crucial usefulness pointer shows with correlation values.For example, factory's production capacity is shown as 87%, and the demonstration of per hour working is about 60.The time point of appointment can be adjusted, and makes it show crucial usefulness pointer value in the past, shows present crucial usefulness pointer value, or shows following crucial usefulness pointer value.If show following crucial usefulness pointer value, quality of data pointer can show with numerical associations.
In another specific embodiment, crucial usefulness pointer is visual can be that animation comes dynamically to show by the evolution of past through present pointer value in the middle of future with the compression time form.For example, this animation can wait one hour that is all factory hour with a second of showing the time.Pointer can be that animation comes illustration by the present data (with about 6 minutes animation) to a following week of one week of past process.When this animation when at present time border (that claim is NOWTIME herein) is in this prediction space, this visual can selection with the numerical value of predicting also video data quality pointer is for example by being superimposed upon these numerical value on the animation greater than all time values of NOWTIME.
Crucial usefulness pointer can be user definition, and can according to they system associated.The alternative instrument panel view that for example, can show the crucial usefulness pointer of particular department in the manufacturing facility.The crucial usefulness pointer that comprises in this alternative instrument panel view can comprise the state of machine, flow, shut down time of particular category etc.
Fig. 2 B shows second view 250 according to the user interface of the specific embodiment of the invention.In second view 250, the window of a plurality of exemplary stacks shows different true and/or virtual datas.As shown, first window shows the service data figure, and second window shows that (the 3rd window shows plant states to single mutation analysis, and four-light mouth display device state history for Univariate analysis, UVA) model result.Can show more or less window.Will be in window data presented can be by selecting in the data selective listing, and be used for showing that this visualization of data can be selected by the Data View tabulation.The example of visual option comprises drawing data, data transparency figure is provided, the animation of data etc. is provided.The part of window or all can provide is represented when obtaining data and virtual data with visual.Arbitrarily window can be watched over the following numerical value of numerical value, present numerical value or prediction individually in time forward or backward.In addition, all windows can advance or retreat together in time.
Fig. 3 shows the three-view diagram 300 according to user interface in the specific embodiment of the invention.Three-view diagram 300 can be used as different windows and is included in second view 250.In addition, three-view diagram 300 can independence and is different from second view 250.
Three-view diagram 300 comprises the timeline skeleton view of the set of designated parameter.Shown exemplary designated parameter comprises the outage analysis of manufacturing equipment.Yet, can show the timeline skeleton view of the single or multiple parameters of any appointment.The timeline skeleton view can be used visually, and uniform way shows the numerical value of numerical value, present numerical value and future anticipation in the past.For example, the past numerical value of can representative obtaining data at date 01/01/05 and 01/02/05 place's data presented point, can representative obtain the present numerical value of data at date 01/03/05 place's data presented point, and can represent the following numerical value of virtual data at date 01/04/05-01/10/05 place data presented point.
Three-view diagram 300 can comprise a plurality of play control 305, can reach forward in time and move this timeline skeleton view to afterwards.Play control 305 can for example comprise stop, advancing, retreat, advancing skips over, retreats and control such as skip over.Play control 305 can be used for the data shown in the three-view diagram 300 are carried out animation.In addition, these data can show with static format.
Fig. 4 A shows the 4th view 400 according to user interface in the specific embodiment of the invention.The 4th view 400 comprises the timeline skeleton view of designated parameter.In the 4th view 400, the past numerical value of time 0-24 display parameter.Present numerical value at times 25 display parameter.The following numerical value that shows the back parameter in the time 26.The vertical bars that is denoted as NOWTIME_1 is represented the present time.As shown, parameter is seamless (for example the visual of this parameter value do not change) by historical data, via NOWTIME_1 to the visual of this virtual data.
Quality of data pointer is relevant with the following numerical value of this parameter.The level of confidence of the following numerical value of the prediction of quality of data pointer representation parameter.In exemplary the 4th view 400, quality of data pointer comprises upper control limit system and lower control limit system.Upper control limit system can be represented the predicted value of maximum possible in this parameter preset time, and lower control limit system can be represented the minimum possible predicted value of this parameter.The prediction of parameter values more enters future, and the confidence degree of this prediction is lower.For example, parameter shows and to be about 120 in the upper control limit system at times 70 place, and the times 26 place upper control limit system show and be about 80.Similarly, parameter shows and to be about 40 in the lower control limit system at times 70 place, and the times 26 place lower control limit system show and be about 50.
Fig. 4 B shows the 5th view 450 of user interface in another specific embodiment of the present invention.The 5th view 450 advances in the time and makes that the present time is that 36 backs are corresponding to the 4th view 400 shown in Fig. 4 B.In the 5th view 450, the past numerical value of time 0-35 display parameter.Present numerical value at times 36 display parameter.Show the following numerical value of this parameter in times 37 back.The vertical bars that is denoted as NOWTIME_2 is represented the present time.
As shown, this quality of data pointer recomputates at the NOWTIME_2 place.Therefore, parameter shows and upper control limit system different at the NOWTIME_1 place and lower control limit system at NOWTIME_2.The tighter control limited reactions that shows at the NOWTIME_2 place goes out the fact that quality of data pointer has used the excessive data collected to recomputate behind NOWTIME_1.In specific embodiment, quality of data pointer is recomputated continuously along with data are collected.In addition, quality of data pointer can recomputate termly in designated time intervals (for example per 5 seconds, per 10 minutes, every day etc.).
Fig. 5 shows the process flow diagram of the specific embodiment of the method 500 that produces virtual data.This method can be carried out by processing logic, and processing logic can comprise hardware (for example circuit, exclusive logic, programmable logical, microprogram code etc.), software (instruction that for example operates) or its combination on treating apparatus.In a specific embodiment, method 500 is performed by manufacturing information and the control system 105 of Figure 1A.
With reference to Fig. 5, method 500 comprises that merging obtains data (block 505) from past in a plurality of sources and present parameter values.A plurality of sources can comprise customer database, supply chain database, MES data shop and/or excessive data shop.In specific embodiment, obtain data and merged by the data combiner 140 of Figure 1A.
In block 510, be applied to predictive models generation virtual data by obtaining data.Predictive models can be the predictive models of emulation, extrapolation, interpolation or other kind.Virtual data can be represented the following numerical value by the prediction of the identical parameters that obtains the data representative.In specific embodiment, produce virtual data and comprise the generation fictitious expansion, the additional parameter of the single or multiple parameter correlations of this fictitious expansion representative and prediction.In specific embodiment, virtual data is produced by the fallout predictor 150 of Figure 1A.
In block 515, for virtual data produces quality of data pointer.Quality of data pointer can comprise for example wrong rod (for example upper control limit system and lower control limit system), standard deviation, amount of variability etc.In specific embodiment, quality of data pointer is produced by the fallout predictor 150 of Figure 1A.
In block 520, database has virtual data and/or quality of data pointer.This database can be for example manufacturing information and control system data shop.In addition, database is assigned to the disparate databases of virtual data, quality of data pointer and/or fictitious expansion.In case this database exists, virtual data can with obtain data and merge.In specific embodiment, this produces along with virtual data and automatically takes place.
In block 525, whether the processing logic decision has received and has additionally obtained data.The data that additionally obtain can be by for example real-time monitor (for example real-time monitor 165 of Figure 1A), or is received by one or more data shop and/or the database that the processing logic collection obtains data.If received and additionally obtained data, this method proceeds to block 535.Additionally do not obtain data if receive, this method proceeds to block 530.
In block 535, the some of virtual data is additionally obtained data and is replaced.In specific embodiment, all data are all relevant with set period.This period can be the historical time point of the time that data are collected, or the following time point of projection.This time point can be represented by time mark.In specific embodiment, the data that obtain that the substituted part of virtual data is had the time mark identical with this virtual data replace.
In block 540, by to predictive models virtual data dynamically being upgraded additional data applications.In specific embodiment, virtual data is updated continuously along with receiving excessive data.In addition, this virtual data can upgrade with regular mode.In block 545, quality of data pointer is dynamically updated.
In block 530, obtain data and virtual data is presented to the user via user interface.In specific embodiment, user interface is corresponding to the user interface shown in Fig. 2 A to Fig. 4 B.This method finishes then.
Fig. 6 shows the process flow diagram of specific embodiment of the method 600 of demonstration obtains on user interface data and virtual data.This method can be carried out by processing logic, and processing logic can comprise hardware (for example circuit, exclusive logic, programmable logical, microprogram code etc.), software (for example instruction that operates) or its combination on a treating apparatus.In specific embodiment, method 600 is performed by manufacturing information and the control system 105 of Figure 1A.
With reference to Fig. 6, method 600 is included in the user interface first of the past numerical value that shows one or more parameters and obtains data (block 605).User interface can make that the user can monitor, control and prognoses system operation.In specific embodiment, the crucial usefulness pointer that the parameter representative can show in the instrument panel view of user interface.In block 610, second of the present numerical value of one or more parameters is obtained data presentation in user interface.Second obtain data can with first obtain data and present in a continuous manner.
In block 615, the virtual data of the following numerical value of one or more parameters is presented in the user interface.Virtual data can be obtained data with first regular data and second and show in a continuous manner.In specific embodiment, first obtains that data, second obtain data and virtual data presents with unified visual appearance, make numerical value in the past, at present numerical value and following numerical value between the available visual manner of relation represent.In another specific embodiment, user interface comprises in figure, transparent print, animation or the report at least one, statement and visual when can provide first to obtain data, second and obtain data and virtual data.In another specific embodiment, first obtains that data, second obtain data and virtual data is present in the timeline skeleton view.
In block 620, the quality of data pointer of virtual data is displayed in the user interface.Quality of data pointer can be represented the order of accuarcy of virtual data.In specific embodiment, quality of data pointer is as the function of time.
Fig. 7 shows the diagrammatic representation of machine in the exemplary form of computer system 700, can carry out therein to be used to make machine to carry out described herein any one or one group of instruction of several different methods.In substituting specific embodiment, machine can be connected to other machine in (for example networking) LAN (LAN), corporate intranet network, enterprise's outer network or the world-wide web.Machine can operate under the ability of server in the client-server network environment or client machine, or as the peer machines in point-to-point (or distributed) network environment.Machine can be personal computer (PC), tablet PC, set-top box (Set-top box, STB), personal digital assistant (Personal Digital Assistant, PDA), cell phone, network home appliance, server, network router, interchanger or bridge, or any machine that can carry out one group of instruction (list type or alternate manner) of the action that appointment will be taked by this machine.In addition, though single machine only is shown, " machine " speech also is used to comprise the set (for example computing machine) of any machine, and it carries out any one or several different methods that method described herein is carried out in one group (or many group) instruction individually or jointly.
Machine readable is got storage medium 731 and also be can be used for storage data combiner, fallout predictor and/or user interface 145 (for example the data combiner 140 of Figure 1A, fallout predictor 150 and user interface 145), and/or software library, wherein comprise the method for call data combiner, fallout predictor and/or user interface.Machine readable is got one or more additional components that storage medium 731 can be used for storing manufacturing information and control system (MICS) in addition, for example decision-support logic parts, real-time monitor and/or actuating logic parts.Although machine readable is got storage medium 731 and be shown as single medium in exemplary specific embodiment, " machine readable is got storage medium " speech should comprise single medium or a plurality of medium (for example centralized or distributed data base, and/or relevant getting soon and server) that stores one or more groups instruction." machine readable is got storage medium " also should comprise the one group of instruction being carried out by this machine and make this machine carry out any medium of any one or several different methods of the present invention of can storing or encode.This term " machine readable is got storage medium " therefore should include, but is not limited to solid-state memory and optics and magnetic medium.
Should be appreciated that above explanation is as exemplary and non-limiting.All can be cheer and bright after the explanation of many other specific embodiments in those skilled in the art's reading and more than understanding.Though the present invention illustrates with reference to certain specific embodiments, should be appreciated that the present invention is not limited to described specific embodiment, and can in the spirit of claims and category, implement by revising and changing.Therefore, should treat instructions and accompanying drawing with exemplary and nonrestrictive angle.Therefore scope of the present invention should be with reference to claims, and the four corner of the coordinate of advocating together with claim determines.
Claims (25)
1. computer-implemented method, described method comprises following steps:
Can monitor the user, show that first obtains data on the user interface of control and prognoses system operation, described first obtains the past numerical value of data represented one or more parameters;
Show that on described user interface second obtains data, described second obtains the present numerical value of data represented described one or more parameters; And
On described user interface, show virtual data, described virtual data is represented the following numerical value of the prediction of described one or more parameters, wherein, utilize unified visual appearance to present described first and obtain data, described second and obtain data and described virtual data, make that the relation between the described following numerical value of described numerical value, described present numerical value and prediction is in the past represented by sense of vision ground.
2. method according to claim 1, wherein:
Described user interface comprises in figure, transparent print, animation or the report at least one, statement and visual when providing described first to obtain data, described second and obtain data and described virtual data; And
Described one or more parameter is represented crucial usefulness pointer, and wherein, described user interface comprises the instrument panel view of described crucial usefulness pointer.
3. method according to claim 1 also comprises following steps:
Display quality pointer in described user interface, described quality pointer is represented the order of accuarcy of described virtual data, wherein, described quality pointer and described virtual data are as the function of time and change;
As time passes and the quality pointer of display update; And
As time passes and the virtual data of display update.
4. method according to claim 1, wherein:
Described first obtains that data, described second obtain data and described virtual data is presented by described user interface with the Time Compression form, the video of described one or more parameters when passing forward or backward along with the time to show;
Described first obtains data and described second obtains data and comprises the pooled data that obtains from a plurality of sources;
Obtain data and be applied to predictive models and produce described virtual data by obtaining data and described second described first;
Described user interface comprises that comparable applications obtains a plurality of controls that data, described second obtain data and described virtual data to described first; And
Described a plurality of control comprises the selection of time control, the described user interface that makes described selection of time control progressively moves visual at least a with static state that shows numerical value in the past or animation in time backward, and moves forward visual at least a with the static state that shows following numerical value or animation in time.
5. system, described system comprises:
Internal memory; And
Processor, it is coupled to internal memory to present user interface, and described user interface comprises:
First obtains the visual representation of data, and described first obtains the past numerical value of data represented one or more parameters;
Second obtains the visual representation of data, and described second obtains the present numerical value of data represented described one or more parameters; And
The visual representation of virtual data, described virtual data is represented the following numerical value of the prediction of described one or more parameters, wherein, utilizing unified visual appearance to present described first obtains data, described second and obtains data and described virtual data, the relation between the described following numerical value of described in the past numerical value, described present numerical value and prediction that makes is represented by sense of vision ground, wherein, the user can be by described user interface supervision, control and prognoses system operation.
6. system according to claim 5, wherein said user interface also comprises:
In figure, transparent print, animation or the report at least one, statement and visual when providing described first to obtain data, described second and obtain data and described virtual data;
The instrument panel view of crucial usefulness pointer, described crucial usefulness pointer comprises the subclass of described one or more parameters; And
The visual representation of quality pointer, described quality pointer are represented the order of accuarcy of described virtual data in described user interface, wherein, described quality pointer and described virtual data are along with the time propelling is updated.
7. system according to claim 5, wherein:
Described first obtains that data, described second obtain data and described virtual data presents with the Time Compression form, the video of described one or more parameters when passing forward or backward along with the time to show;
Described first obtains data and described second obtains data and comprises the pooled data that obtains from a plurality of sources; And
Obtain data and be applied to predictive models and produce described virtual data by obtaining data and described second described first.
8. system according to claim 5, wherein said user interface also comprises:
Comparable applications obtains a plurality of controls that data, described second obtain data and described virtual data to described first, wherein, described a plurality of control comprises the selection of time control, the described user interface that makes described selection of time control progressively moves visual at least a with static state that shows numerical value in the past or animation in time backward, and moves forward visual at least a with the static state that shows following numerical value or animation in time.
9. a computer-readable medium makes described disposal system carry out the instruction of following method when carrying out comprising processed system, and described method comprises:
Can monitor the user, show that first obtains data on the user interface of control and prognoses system operation, described first obtains the past numerical value of data represented one or more parameters;
Show that on described user interface second obtains data, described second obtains the present numerical value of data represented described one or more parameters; And
On described user interface, show virtual data, described virtual data is represented the following numerical value of the prediction of described one or more parameters, wherein, utilize unified visual appearance to present described first and obtain data, described second and obtain data and described virtual data, make that the relation between the described following numerical value of described numerical value, described present numerical value and prediction is in the past represented by sense of vision ground.
10. computer-readable medium according to claim 9, wherein:
Described user interface comprises in figure, transparent print, animation or the report at least one, statement and visual when providing described first to obtain data, described second and obtain data and described virtual data; And
Described one or more parameter is represented crucial usefulness pointer, and wherein, described user interface comprises the instrument panel view of described crucial usefulness pointer.
11. computer-readable medium according to claim 9, described method also comprises following steps:
Display quality pointer in described user interface, described quality pointer is represented the order of accuarcy of described virtual data, wherein, described quality pointer and described virtual data are as the function of time and change;
As time passes and the quality pointer of display update; And
As time passes and the virtual data of display update.
12. computer-readable medium according to claim 9, wherein:
Described first obtains that data, described second obtain data and described virtual data is presented by described user interface with the Time Compression form, the video of described one or more parameters when passing forward or backward along with the time to show;
Described first obtains data and described second obtains data and comprises the pooled data that obtains from a plurality of sources;
Obtain data and be applied to predictive models and produce described virtual data by obtaining data and described second described first;
Described user interface comprises that comparable applications obtains a plurality of controls that data, described second obtain data and described virtual data to described first; And
Described a plurality of control comprises the selection of time control, the described user interface that makes described selection of time control progressively moves visual at least a with static state that shows numerical value in the past or animation in time backward, and moves forward visual at least a with the static state that shows following numerical value or animation in time.
13. a computer-implemented method, described method comprises following steps:
Will from the past numerical value of the system in a plurality of sources and at present in the numerical value at least one the data that obtain merge;
By the described data that obtain are applied to the virtual data that the prediction type model produces the following numerical value of described system;
Receive the extra data that obtain; And
By the described data that additionally obtain are applied to described prediction type model and dynamically upgrade described virtual data.
14. method according to claim 13, wherein:
Describedly additionally obtain the real-time operand value that data reflect manufacture component, and wherein, described virtual data changes with the true-time operation numerical value of described manufacture component and dynamically upgrades; And
The virtual data that produces following numerical value comprises the information of the parameter that collection will be predicted and collects extraneous information that described extraneous information makes things convenient for the accurate prediction of parameter.
15. method according to claim 13 also comprises:
By the described data that obtain are applied to the quality of data pointer that described prediction type model produces the order of accuarcy of the described virtual data of expression; And
Upgrade described quality of data pointer according to the described Data Dynamic ground of additionally obtaining.
16. method according to claim 13, wherein:
Describedly additionally obtain the some that data replace the virtual data of described generation, the described data that additionally obtain comprise very first time mark, and described very first time mark cooperates with second time mark partly that is substituted of the virtual data of described generation; And
Described a plurality of source comprises at least one parts of manufacturing execution system and at least one parts of manufacturing information system, and wherein, described prediction type model comprises in emulation, extrapolation or the interpolation of parameter of and control measured by described at least one parts of described at least one parts of described manufacturing execution system or described manufacturing information system at least one.
17. method according to claim 13 also comprises:
Store described virtual data; And
The described data that obtain are combined with described virtual data, make to monitor and diagnostic tool access in the following manner, operate and present described virtual data, described mode and supervision and diagnostic tool access, operate and to present the described mode that obtains data identical;
Wherein, described virtual data and obtain data can be by described supervision and diagnostic tool access in the following manner, described mode make those instruments can by the past, at present and the seamless conversion between future present described virtual data and obtain data with the form of animation.
18. method according to claim 13 also comprises:
Produce the fictitious expansion of described virtual data;
Described fictitious expansion and described virtual data are stored in the database; And
With video a plurality of numerical value of described virtual data of described fictitious expansion, reducing the shared amount of space of described fictitious expansion, and make the rebuilding property maximization of described fictitious expansion,
Wherein, described virtual data comprises virtual alarm, and described virtual alarm represents to predict that alarm condition takes place in following meeting.
19. an arithmetic unit, it comprises:
One or more data shop, the past numerical value of stocking system and at present in the numerical value at least one obtain data;
The data combiner is connected with described one or more data shop, to merge the data that obtain from described one or more data shop; And
Fallout predictor is connected with described data combiner, is applied to the virtual data that the prediction type model produces the following numerical value of described system by the data that obtain with described merging, and becomes and dynamically upgrade described virtual data in the time of can using when newly obtaining data.
20. arithmetic unit according to claim 19, wherein:
Describedly newly obtain the real-time operand value that data reflect manufacture component, and wherein, described virtual data changes along with the true-time operation numerical value of described manufacture component and dynamically upgrades;
Described fallout predictor produces quality of data pointer, by the described data that obtain are applied to the order of accuarcy that described predictive models is represented described virtual data, and become and dynamically upgrades described quality of data pointer in the time of can using when newly obtaining data; And
Describedly newly obtain the some that data replace the virtual data of described generation, the described data that newly obtain comprise very first time mark, and described very first time mark cooperates with second time mark partly that is substituted of the virtual data of described generation.
21. arithmetic unit according to claim 19 also comprises:
The excessive data shop is connected with described fallout predictor with described data combiner, to store the described virtual data that is produced by described fallout predictor;
Described data combiner is obtained data and described virtual data combination with described, make to monitor and diagnostic tool access in the following manner, operate and present described virtual data, described mode and supervision and diagnostic tool access, operate and to present the described mode that obtains data identical;
Described fallout predictor system produces fictitious expansion to described virtual data, and described fictitious expansion is videoed a plurality of numerical value of described virtual data reducing by described fictitious expansion occupation space amount, and makes the rebuilding property maximization of described fictitious expansion; And
Described excessive data shop stores described fictitious expansion.
22. arithmetic unit according to claim 19 also comprises:
Decision support module is connected with described fallout predictor with described combiner, and to detect virtual alarm, described virtual alarm represents to predict that alarm condition takes place in following meeting; And
Execution module is carried out action in response to described virtual alarm.
23. a computer-readable medium makes described disposal system carry out the instruction of following method when carrying out comprising processed system, described method comprises:
Merging from the past numerical value of the system in a plurality of sources and at present in the numerical value at least one obtain data;
By the described data that obtain are applied to the virtual data that the prediction type model produces the following numerical value of described system;
Receive the extra data that obtain; And
By the described data that additionally obtain are applied to described prediction type model and dynamically upgrade described virtual data.
24. computer-readable medium according to claim 23, wherein:
Describedly additionally obtain the real-time operand value that data reflect manufacture component, and wherein, described virtual data change along with the true-time operation numerical value of described manufacture component and dynamically upgrade;
The virtual data that produces following numerical value comprises the information of the parameter that collection will be predicted and collects extraneous information that described extraneous information makes things convenient for the accurate prediction of parameter;
Describedly additionally obtain the some that data replace the virtual data of described generation, the described data that additionally obtain comprise very first time mark, and described very first time mark cooperates with second time mark partly that is substituted of the virtual data of described generation; And
Described a plurality of source comprises at least one parts of manufacturing execution system and at least one parts of manufacturing information system, and wherein, described prediction type model comprises in emulation, extrapolation or the interpolation of parameter of and control measured by described at least one parts of described at least one parts of described manufacturing execution system or described manufacturing information system at least one.
25. computer-readable medium according to claim 23, described method comprises following steps in addition:
By the described data that obtain are applied to the quality of data pointer that described prediction type model produces the order of accuarcy of the described virtual data of expression;
Upgrade described quality of data pointer according to the described Data Dynamic ground of additionally obtaining;
Store described virtual data; And
The described data that obtain are combined with described virtual data, make to monitor and diagnostic tool access in the following manner, operate and present described virtual data, described mode and supervision and diagnostic tool access, operate and to present the described mode that obtains data identical,
Wherein, described virtual data and obtain data can be by described supervision and diagnostic tool access in the following manner, described mode make those instruments can by the past, at present and the seamless conversion between future present described virtual data and obtain data with the form of animation.
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- 2009-02-20 WO PCT/US2009/034767 patent/WO2009105704A1/en active Application Filing
- 2009-02-20 KR KR1020107021291A patent/KR20100127245A/en active IP Right Grant
- 2009-02-23 TW TW103121737A patent/TW201437914A/en unknown
- 2009-02-23 TW TW98105663A patent/TW200949697A/en unknown
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| US20060259163A1 (en) * | 2000-03-10 | 2006-11-16 | Smiths Detection Inc. | Temporary expanding integrated monitoring network |
| US20050071450A1 (en) * | 2003-09-30 | 2005-03-31 | International Business Machines Corporation | Autonomic SLA breach value estimation |
| US20060184394A1 (en) * | 2005-02-15 | 2006-08-17 | Maughan Rex W | Method to display up-to-date medical information graphs |
| US20070106550A1 (en) * | 2005-11-04 | 2007-05-10 | Andris Umblijs | Modeling marketing data |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103403636A (en) * | 2011-01-05 | 2013-11-20 | 发展机械及自动化股份公司 | Production installation with time-indexed historical display |
| CN103403636B (en) * | 2011-01-05 | 2016-12-28 | 发展机械及自动化股份公司 | There is the production equipment of the history display temporally indexed |
| CN103019912A (en) * | 2011-06-30 | 2013-04-03 | 安讯士有限公司 | Processing monitoring data in a monitoring system |
| CN102915002A (en) * | 2012-03-14 | 2013-02-06 | 上海西门子工业自动化有限公司 | Distributed control system |
| CN102915002B (en) * | 2012-03-14 | 2015-11-25 | 西门子工厂自动化工程有限公司 | A kind of dcs |
| CN106528027A (en) * | 2016-11-28 | 2017-03-22 | 合网络技术（北京）有限公司 | Data displaying method and device |
| CN106528027B (en) * | 2016-11-28 | 2020-02-14 | 合一网络技术(北京)有限公司 | Data display method and device |
| CN111125560A (en) * | 2018-10-31 | 2020-05-08 | 阿里巴巴集团控股有限公司 | Data visualization processing method and device and computer system |
| CN111125560B (en) * | 2018-10-31 | 2023-06-02 | 阿里巴巴集团控股有限公司 | Data visualization processing method, device and computer system |
| CN111698335A (en) * | 2020-06-29 | 2020-09-22 | 腾讯科技（深圳）有限公司 | Equipment state query method and device and server |
| CN111698335B (en) * | 2020-06-29 | 2022-06-24 | 腾讯科技（深圳）有限公司 | Equipment state query method and device and server |
Also Published As
| Publication number | Publication date |
|---|---|
| KR20100127245A (en) | 2010-12-03 |
| WO2009105704A1 (en) | 2009-08-27 |
| TW201437914A (en) | 2014-10-01 |
| TW200949697A (en) | 2009-12-01 |
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