CN105741007A - Data input assisting device and data input assisting method - Google Patents
Data input assisting device and data input assisting method Download PDFInfo
- Publication number
- CN105741007A CN105741007A CN201510957585.0A CN201510957585A CN105741007A CN 105741007 A CN105741007 A CN 105741007A CN 201510957585 A CN201510957585 A CN 201510957585A CN 105741007 A CN105741007 A CN 105741007A
- Authority
- CN
- China
- Prior art keywords
- data
- input device
- auxiliary input
- information
- data auxiliary
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
Abstract
The present invention provides a data input assisting device and a data input assisting method. According to the technical scheme of the invention, the method comprises the steps of determining the influence of the input data uncertainty on the output result of a parsing unit, and determining the information of an input data item of high priority order. The data input assisting device for parsing an output value based on the input value of a data item comprises a parsing unit and a priority order evaluation unit. The parsing unit is used for evaluating the influence of the input value varying range of the data item on the output value. The priority order evaluation unit is used for evaluating the priority order of the input data item based on the result of the sensitivity analysis.
Description
Technical field
The present invention relates to a kind of input value according to data items and resolve output valve, to the data auxiliary input device and the method that use business to carry out data input auxiliary.
Background technology
In recent years, inputting data to the electronic equipment such as personal computer, smart mobile phone, the system obtaining desired result of calculation is continuously increased.Being equipped with the resolution unit exporting result of calculation according to the data inputted in such systems, user needs input model to run required data.
As the prior art relevant to this technology, for instance Patent Document 1 discloses the technology relevant to running aid system as follows: can the performance degradation state of valuator device ingredient generating equipment can carry out effectively running the operation aid system of auxiliary.In the art, it is equipped with the model of the performance number for computing equipment ingredient and the thermally equilibrated model for calculation element is used as resolution unit, need the design data of device in order to make the work of these models.
Additionally, Patent Document 2 discloses the technology relevant to the system calculating enterprise personnel's retired pay.In the art, in order to calculate the retired pay needs data such as current emolument and pay rise index.
Patent documentation 1: Japanese Unexamined Patent Publication 2004-211587 publication
Patent documentation 2: Japanese Unexamined Patent Publication 2002-109201 publication
In order to run above-mentioned resolution unit to obtain high-precision analysis result, it is necessary to accurately input data value.But, in order to obtain information accurately, it is necessary to time and expense, sometimes can only obtain inaccurate information.
Such as, for the design data of generating equipment, when device uses business different from device designer, compared with the design data that device designer is possessed, device uses the design data that business can possess restricted.When device uses business to use the technology of patent documentation 1, it is important that grasp each input data and resolution unit is exported the impact of result, it is determined that the data items that the priority that obtain is high.Additionally, the part replacement according to equipment is safeguarded, design data can change, but also is difficult to grasp these situations exactly time many.In such instances it is important resolution unit is exported the impact of result by the uncertainty grasping input data.
Additionally, the pay rise index etc. for calculating retired pay exists the probability changed according to enterprise Institutions or economic environment, therefore it is difficult to grasp its value exactly.In this case, important is also the uncertainty the grasping input data impact on resolution unit output result.
Summary of the invention
It is an object of the invention to provide following information: resolution unit is exported the impact of result for clearly inputting the uncertainty of data and determines the information of data items that the priority to input is high.
In order to solve above-mentioned problem, the present invention provides a kind of data auxiliary input device, it resolves output valve according to the input value of data items, it is characterized in that, this data auxiliary input device possesses: resolution unit, and it carries out following sensitivity analysis: evaluate the impact on output valve according to the excursion of the input value of described data items；And priority evaluation unit, its result according to described sensitivity analysis, the priority of the data items of input is evaluated.
Will appreciate that the change of the input data impact on resolution unit output valve, and can determine the data items that the priority to obtain is high.
Accompanying drawing explanation
Fig. 1 is the block diagram of the data auxiliary input device of the 1st embodiment that the present invention is described.
Fig. 2 be data auxiliary input device initial actuating, click action when resolving executive button, the flow chart of the action of data auxiliary input device when clicking prioritizing button.
Fig. 3 is the figure of the data form that explanation is saved in data auxiliary input device data base, and illustrates that analysis condition generates the flow chart of the action of unit.
Fig. 4 is the block diagram of the data auxiliary input device of the 2nd embodiment that the present invention is described, and the block diagram of the structure of generating equipment is described.
Fig. 5 is the flow chart of the action that resolution unit is described, and represents the figure of the rheological parameters' change with time of aggregated loss cost.
Fig. 6 is the structure that heat recovery boiler is described and the figure of the data form being saved in data auxiliary input device data base.
Fig. 7 is the figure of the motion flow illustrating that analysis condition generates unit, and represents the figure of relation between sensor cost and error of quality appraisement.
Fig. 8 be the 3rd embodiment that the present invention is described data auxiliary input device in the flow chart of action of prioritizing unit, and the figure of the data form being saved in data auxiliary input device data base.
Symbol description
1 external input signal
2 picture display signals
100 picture display devices
110 output valve display devices
200 data items display pictures
210,220,230,240,250,260 data row
300 action command display pictures
310 resolve executive button
320 prioritizing buttons
400 data auxiliary input devices
401 data auxiliary input device information
410 data input/output interfaces
500 analysis conditions generate unit
600 resolution unit
700 priority evaluation units
800 data auxiliary input device data bases
900 external input device
910 keyboards
920 mouses
Detailed description of the invention
Hereinafter, illustrate suitable in embodiment of the invention process.It addition, the following embodiment that is only, invention itself is not limited to following particular content.
Embodiment 1
Fig. 1 is the block diagram of the data auxiliary input device of the 1st embodiment that the present invention is described.Data auxiliary input device 400 is connected with picture display device 100 and external input device 900, and the information being shown in picture display device 100 is assisted, and assists using external input device 900 to input data.
Data auxiliary input device 400 possesses data input/output interface 410, receives the external input signal 1 generated in external input device 900 via data input/output interface, and between picture display device 200, receive and dispatch picture display signal 2.In external input device 900, keyboard 910 and mouse 920 is used to generate external input signal 1.
Picture display device 200 shows output valve display picture 110, data items display picture 200 and action command display picture 300.Data items display picture 200 by the data row 210 representing data number, represent the data row 220 of project, represent the data row 230 of input value, represent that the data row 260 of output amplitude of fluctuation are constituted, represent that the data row 230 of input value are made up of the data row 240 of input fixed value and the data row 250 of input excursion.For the value of the data items being shown in data row 220, when setting fixed value, user inputs this value at data row 240, when exact value is indefinite but when can set its excursion, user inputs this excursion at data row 250.
So, at data items, user shows that picture 200 input calculates the information required for output valve, clicks the parsing executive button 310 being shown in action command display picture 300.Result of calculation is shown in output valve display picture 110.Additionally, by clicking the prioritizing button 320 being shown in action command display picture 300, it is ranked up according to the order of the priority order from high to low information to being shown in data entry projects display picture 200.
It addition, also use Fig. 2 to describe the initial actuating of data auxiliary input device afterwards, click action when resolving executive button 310, click action during prioritizing button 320.
In data auxiliary input device 400, possess analysis condition as arithmetic unit and generate unit 500, resolution unit 600, priority evaluation unit 700.Additionally, possess data auxiliary input device data base 800 as data base in data auxiliary input device 400.It addition, in the accompanying drawings, data base is abbreviated as DB.
Preserving in data auxiliary input device data base 800 by the information of electronization, generally the form to be referred to as e-file (electronic data) preserves information.
Data auxiliary input device data base 800 preserve by the data auxiliary input device information 401 of following information structure, it may be assumed that the information that picture display device 100 inputted by external input device 900, in order to make analysis condition generate unit 500, resolution unit 600 and priority evaluation unit 700 action and required information, information as the result making analysis condition generation unit 500, resolution unit 600 and priority evaluation unit 700 work and obtain.
Generate at analysis condition and unit 500 generates in order to evaluate input value in the change of excursion interval to the analysis condition needed for the impact of output valve, namely generate the analysis condition for sensitivity analysis.In resolution unit 600, generate, according at analysis condition, the analysis condition calculating output valve that unit 500 generates.In priority evaluation unit 700, evaluate the priority of the data items that should input.Such as, according to the sensitivity of each data items, namely output amplitude of fluctuation order from big to small, is ranked up data items.
Will appreciate that the impact on the output valve of model of the uncertainty of input data, it is possible to determine the data items that the priority obtained is high.Additionally, also there is the data items that clearly should obtain, clearly necessary design information, the effect of time required for information can be shortened.
Additionally, in the data auxiliary input device 400 of the present embodiment, possess analysis condition in the inside of data auxiliary input device 400 and generate unit 500, resolution unit 600, priority evaluation unit 700, data auxiliary input device data base 800, but their a part of device can also be arranged in the outside of data auxiliary input device 400, only data are communicated between the devices.
In addition, the information being saved in the data auxiliary input device data base 800 being arranged at data auxiliary input device 400 is not limited to the data content shown in Fig. 1, its full detail can be apparent in picture display device 100, it is possible to be operated by external input device 900 and the external input signal 1 that generates is to revise these information.
In the present embodiment, external input device 900 is made up of keyboard and mouse but it also may be for means for entering data such as the mike of sound input, touch panels.
Additionally, as embodiments of the present invention, it is possible to implement data input aiding method, also be able to the information providing services of implementing to be obtained information by data auxiliary input device 400 action.
Fig. 2 be data auxiliary input device initial actuating, click action when resolving executive button 310, the flow chart of the action of data auxiliary input device 400 when clicking prioritizing button 320.
(a) of Fig. 2 is the flow chart of the initial actuating that data auxiliary input device 400 is described.In step 2000, extract the data items needed to make resolution unit 600 action.In step 2010, the data items extracted in step 2000 is saved in data auxiliary input device data base 800.In step 2020, the information being saved in data auxiliary input device data base 800 is transformed to picture display signal 2 by data input/output interface 410 and is shown in picture display device 100.By the action of (a) of Fig. 2, it is possible to the data items needed to make resolution unit 600 action is shown in data items display picture 200, it is possible to promote user to carry out data input.
(b) of Fig. 2 has been click on resolving the action flow chart of data auxiliary input device 400 during executive button 310.In step 2100, will show that the data that picture 200 inputs are taken in data auxiliary input device 800 via data input/output interface 410 to data items.In step 2110, make analysis condition generate unit 500 action to generate analysis condition, the analysis condition generated is saved in data auxiliary input device 800.In step 2120, for the analysis condition being saved in data auxiliary input device data base 800, calculate output valve by resolution unit 600 action.In step 2130, the result of calculation in step 2120 is saved in data auxiliary input device data base 800.In step 2140, the information being saved in data auxiliary input device data base 800 is transformed to picture display signal 2 by data input/output interface 410 and is shown in data row 260 and the output valve display picture 110 of picture display device 100.By the action of (b) of Fig. 2, the uncertainty of the video data input value impact on output valve in data row 260, and this information can be provided a user with.
The action flow chart of the data auxiliary input device 400 when (c) of Fig. 2 has been click on prioritizing button 320.In step 2200, priority evaluation unit 700 extracts the information being saved in data auxiliary input device data base 800.In step 2210, data items is ranked up according to analysis result by priority evaluation unit 700.Such as, according to output amplitude of fluctuation order from big to small, data items is ranked up.The result of the sequence of data items is saved in data auxiliary input device data base 800.In step 2220, according to the information being saved in data auxiliary input device data base 800, data items is ranked up, and is shown in data items display picture 200.By the action of (c) of Fig. 2, showing the data items that the priority of input is high, the data items that therefore should input becomes clear and definite.Additionally, the data items that clearly should input, it is achieved the effect of information required time can be shortened.
Fig. 3 is the figure of the data form that explanation is saved in data auxiliary input device data base 800, and illustrates that analysis condition generates the flow chart that unit 500 generates the action of analysis condition in step 2110.
(a) of Fig. 3 is the figure of the data form that explanation is saved in data auxiliary input device data base 800.As shown in table 801, in data auxiliary input device data base 800, preservation is shown in data, the data needed to make resolution unit 600 action in data items display picture 200, generates, by analysis condition, the information that the list etc. of the analysis condition that unit 500 generates needs to make data auxiliary input device 400 action as shown in table 802.
(b) of Fig. 3 illustrates that analysis condition generates the flow chart that unit 500 generates the action of analysis condition in step 2110.In step 2300, calculate the reference value of analysis condition.Here, reference value refers to, for instance is this value when inputting fixed value, is set to its intermediate value when inputting excursion, is the analysis condition for being calculated as resolving the output valve of benchmark.In step 2310, set the data items to confirm.In step 2320, it is determined whether consider excursion.When have input excursion, advancing to step 2330, when have input fixed value, advancing to step 2340.Analysis condition in step 2330, when data items selected in step 2310 being added analysis condition when being set to excursion maximum and is set to excursion minima.In step 2340, evaluate whether to confirm total data project, when surplus have data items, return to step 2310, when completing the confirmation of all data items, advance to terminating.
Under analysis condition when showing analysis condition when each data items is set to excursion maximum in the data row 260 of data items display picture 200 and be set to excursion minima, use the calculated result of resolution unit 600.In addition it is also possible to show in picture 200 at data items and show analysis result when each data items is set to excursion maximum and the difference of analysis result when being set to excursion minima.
Embodiment 2
Fig. 4 is the block diagram of the data auxiliary input device of the 2nd embodiment that the present invention is described, and the block diagram of the structure of generating equipment is described.In the present embodiment, evaluate the impact on cost to calculate generating equipment efficiency, necessary data items is used data auxiliary input device 400.
(a) of Fig. 4 is the block diagram of the data auxiliary input device 400 of the 2nd embodiment that the present invention is described.Being in that with the difference of the structure shown in Fig. 1, the data auxiliary input device 400 of the present embodiment can via the operation information 3 that data input/output interface 410 receives and dispatches generating equipment 1000 and the design information 4 being saved in design information database 1100.These information are taken into the inside of data auxiliary input device 400 via data input/output interface 410, are stored in data auxiliary input device data base 800.Additionally, resolution unit 600 is made up of efficiency calculation model 610 and cost calculation model 620.In efficiency calculation model 610, evaluate the good and bad characteristic of each machine, evaluate the impact on equipment whole efficiency.Additionally, be equipped with the model that cost is produced the impact of which kind of degree by the efficiency decline evaluating generating equipment in cost calculation model 620.
Furthermore it is possible to the default value according to the design information setting data value being saved in design information database 1100.Additionally, preserve the real result/design information of existing device in design information database 1100, it is possible to the excursion of the excursion of the data items that extraction the is associated data items to be set in this device.
(b) of Fig. 4 indicates that the figure of the machine construction of the C/C device of the embodiment of generating equipment 1000.Gas turbine 1080 is made up of compressor 1010, decompressor 1020, burner 1030.In gas turbine 1080, compressor 1010 is taken into air and compresses, and then, burner 1030 is taken into compression air and fuel to generate burning gases, and decompressor 1020 is taken into burning gases and obtains power.The output of gas turbine 1080 is the difference of the power that the power exported by decompressor 1020 uses with compressor 1010.Heat recovery boiler 1050 possesses heat exchanger 1060, uses the high-temp waste gas from gas turbine 1080 to generate high-temperature steam.In steam turbine 1070, it is taken into the high-temperature steam generated by heat recovery boiler 1050 to obtain power.In condenser 1090, it is taken into the waste gas of steam turbine 1070, carries out heat exchange with cooling water, thus make steam condensing for water.In electromotor 1040, the output of gas turbine 1080 and steam turbine 1070 is used to generate electricity.
So, in combined cycle plant, gas turbine, heat recovery boiler, steam turbine have relation mutually, even if therefore when the efficiency of machine monomer declines, it is also desirable to consider the impact that equipment is overall.Efficiency calculation model 610 is equipped with the thermal balance model of the function with gas turbine, heat recovery boiler, steam turbine.Additionally, use thermal balance model, it is possible to calculate the increase amount of the fuel flow rate caused that declined by the efficiency of gas-turbine compressor.
Method as installation effectiveness computation model 610, for instance the thermally equilibrated method calculating the method for efficiency of each machine, calculation element described in can being used in Japanese Unexamined Patent Publication 2004-211587 publication.
For this process, data auxiliary input device data base 800 preserves the design information of device.At this, the design information of device refers to compressor specification information, decompressor specification information, generator size information, heat recovery boiler specification information.
At this, compressor specification information is the efficiency of inspiratory flow and the compressor combining compressor, or atmospheric condition information and inspiratory flow information calculate air force, it is possible to calculate the information of the compressor physical property shape of compressor efficiency.Specifically, the information of compressor physical property shape such as include compressor progression, represent diameter, the size diameter of movable vane/stator blade at different levels and shape, air by least one in the size/shape in path, the design load of speed triangle that formed by air and blade.
Turbine specification information be the information of the temperature/pressure/specific heat of assembly turbine efficiency or turbine inflow gas to calculate air force, it is possible to calculate the information of the turbine physical property shape of turbine efficiency.Specifically, the information of turbine physical property shape such as include turbine progression, represent diameter, the size diameter of movable vane/stator blade at different levels and shape, burning gases by the size/shape in path, the design load of speed triangle formed by air and blade, cooling air delivery design load at least one.
Burner specification information is efficiency of combustion and the information such as ignition temperature, coolant injection amount of burner.
Heat recovery boiler specification information includes at least one in the heat transfer area of heat exchanger, the composition interval of pipe of heat exchanger, pipe radius.
In the present embodiment, will be shown in compressor specification information, decompressor specification information, generator size information, data items that heat recovery boiler specification information is relevant in data items display picture 200.
It addition, the installation method of efficiency calculation model is not limited to this method.
In cost calculation model 620, by the Fuel Consumption increased because efficiency declines being multiplied by fuel cost, calculate the operating cost increase amount caused by efficiency decline.For this process, the fuel price that storage is corresponding with the period of purchase in data auxiliary input device data base 800 is as time series data.Additionally, in cost calculation model 620, use the increase gauge of fuel cost to calculate aggregated loss cost.By being integrated obtaining aggregated loss cost to the increase amount of fuel cost tendency.It addition, the installation method of cost calculation model 620 is not limited to the method described in the present embodiment.
Fig. 5 is the flow chart of the action that resolution unit 600 is described, and represents the figure of the rheological parameters' change with time of aggregated loss cost.
(a) of Fig. 5 is the flow chart that the data auxiliary input device to embodiment 2 illustrates the action of resolution unit 600.It addition, this flow chart is equivalent to a part for the step 2120 of (b) of Fig. 2.Service efficiency computation model 610 performs step 2400～step 2420, and use cost computation model 620 performs step 2430.
In step 2400, the information of data auxiliary input device data base 800 is used to calculate the efficiency of each machine.In step 2410, obtain the thermal balance of equipment, the efficiency that computing equipment is overall.
In step 2420, calculate the increase amount of the fuel flow rate caused that declined by efficiency.
In step 2430, the increase amount of the fuel flow rate that service efficiency computation model 610 calculates is multiplied by fuel price to calculate increase amount and the aggregated loss cost of fuel cost by use cost computation model 620.In step 2440, it is determined whether resolved full terms, return to step 2400 when not completing the parsing of all conditions, when the parsing completing all conditions, to terminating advance.
(b) of Fig. 5 indicates that the figure of the rheological parameters' change with time of the aggregated loss cost calculated in step 2430.Change in data scope, therefore produces amplitude in the future in the predictive value of cumulative cost.This result can be shown in picture display device 100.
Fig. 6 is the structure that heat recovery boiler 1050 is described, and the figure of the data form being saved in data auxiliary input device data base 800 is described.
(a) of Fig. 6 is the figure of the structure that heat recovery boiler 1050 is described.In heat recovery boiler 1050, it is configured with multiple stage heat exchanger 1100, measures vapor (steam) temperature, steam pressure, fuel gas temperature by temperature sensor 1200 and pressure transducer 1300.
Specification as these sensors has measurement range, measurement error etc., arranges sensor according to purpose.
(b) of Fig. 6 is the figure of the data form that explanation is saved in data auxiliary input device data base 800.As shown in (b) of Fig. 6, in data auxiliary input device data base 800, measurement position is mapped with the candidate of the sensor to use and preserves.
Fig. 7 is the figure of the motion flow illustrating that analysis condition generates unit 500, and represents the figure of relation between sensor cost and error of quality appraisement.
(a) of Fig. 7 is the figure of the motion flow illustrating that analysis condition generates unit 500.Step 2500 generates the analysis condition relevant to data items.Step 2500 is identical with the flow chart of the step 2300～step 2340 shown in (b) that be combined with Fig. 3.In step 2510, set the measurement position to confirm.Step 2520 judges the presence or absence of sensor.Advance to step 2530 when there being sensor, advance to step 2540 when there is no sensor.In step 2530, maximum and minima to measurement error add analysis condition.In step 2540, the maximum of estimation error and minima to the model of presumption measured value add analysis condition.In step 2550, evaluate whether to confirm all to measure position, return to step 2510 when not confirming all to measure position, advance to end when confirming all to measure position.
(b) of Fig. 7 indicates that the figure of relation between sensor cost and error of quality appraisement.There is no metrical information, thus the presumption precise decreasing of model.Will appreciate that presumption precise decreasing is to error of quality appraisement, i.e. the impact on cost estimation error.
It addition, in the present embodiment, evaluate the impact on cost to calculate generating equipment efficiency, the data items needed used data auxiliary input device 400 but it also may at random the form of setting device, the content to evaluate.
Such as, in example 2 with steam power plant for subject evaluation efficiency but it also may using natural energy resources equipment, atomic power device, crude oil/combustion gas generation equipment etc. as object.In addition it is also possible to evaluate the residual life of machine according to the information such as vapor (steam) temperature, metal temperature.Further, it is also possible to be configured to evaluate yield rate or the purity etc. of the material generated.
Embodiment 3
Such as, when the assets after supporting retirement use, oriented client provides the service of the resolution unit of estimation retired pay.In this case, by using No. 2002-109201 described technology of Japanese Unexamined Patent Publication, client inputs the information such as current emolument can calculate retired pay.
But, for the company supporting assets to use, it is not only the data making the resolution unit that retired pay carries out capitalization work and to need, in addition it is also necessary to the business aspects such as the name of client or address obtain required information.In order to obtain these information, in the data auxiliary input device 400 of the 3rd embodiment of the present invention, determine priority according to the attribute of data items.
Fig. 8 is the flow chart of the action of the prioritizing unit 700 of the 3rd embodiment that the present invention is described, and the figure of the data form being saved in data auxiliary input device data base 800 is described.
(a) of Fig. 8 is the flow chart of the action that prioritizing unit 700 is described, step 2600, step 2620 be respectively with the step 2200 of Fig. 2 (c), action that step 2220 is identical.In the step 2610 of this flow chart, according to analysis result and data attribute, data items is ranked up, is in that according to data attribute, data items to be ranked up with the difference of step 2210.At this, data attribute is to whether the information of data items input is the data used in output calculates, if be the data etc. wanting to do business to obtain, for differentiating the information of the character relevant to data using method.In step 2610, for instance the priority of the data obtained is wanted in raising in order to do business.
(b) of Fig. 8 is the figure of the data form that explanation is saved in data auxiliary input device data base 800.As shown in (b) of Fig. 8, it is possible to each data items setting data attribute.
So, in the data auxiliary input device 400 of the present embodiment, by improving the priority of data wanting to obtain in order to do business, it is possible to promote user preferentially to input the information of notebook data project at picture display device 100.
The present invention can by wide range applications as data auxiliary input device.
Claims (15)
1. a data auxiliary input device, it resolves output valve according to the input value of data items, it is characterised in that this data auxiliary input device possesses:
Resolution unit, it carries out following sensitivity analysis: evaluate the impact on output valve according to the excursion of the input value of described data items；And
Priority evaluation unit, its result according to described sensitivity analysis, the priority of the data items of input is evaluated.
2. data auxiliary input device according to claim 1, it is characterised in that
Output is for showing the image display signal of impact on described output valve and for showing at least one in the image display signal of described priority.
3. data auxiliary input device according to claim 1, it is characterised in that
Data auxiliary input device is also equipped with: analysis condition generates unit, and it generates the analysis condition for carrying out described sensitivity analysis,
Described resolution unit carries out described sensitivity analysis according to described analysis condition.
4. data auxiliary input device according to claim 1, it is characterised in that
Described output valve includes at least one in cost, service life of a machine, yield rate and purity.
5. data auxiliary input device according to claim 1, it is characterised in that
Described priority evaluation unit is except the result of described sensitivity analysis, and described priority is evaluated by the attribute always according to each data.
6. data auxiliary input device according to claim 3, it is characterised in that
Described analysis condition generation unit uses the information of the design information database of the machine specifications of equipment of preserving to generate described analysis condition.
7. data auxiliary input device according to claim 3, it is characterised in that
Error when described analysis condition generates unit according to the measurement error of sensor or presumption measured value generates described analysis condition.
8. data auxiliary input device according to claim 1, it is characterised in that
Described resolution unit is made up of efficiency calculation model and cost calculation model, wherein, the influence degree that the efficiency that equipment is overall is declined by the performance degradation of efficiency calculation model computing equipment machine, cost calculation model calculates the increasing degree that operating cost declines with described efficiency.
9. data auxiliary input device according to claim 8, it is characterised in that
Described data items includes at least one in compressor specification information, decompressor specification information, generator size information, heat recovery boiler specification information.
10. data auxiliary input device according to claim 9, it is characterised in that
Described compressor specification information is able to calculate the information of the compressor physical property shape of compressor efficiency.
11. data auxiliary input device according to claim 9, it is characterised in that
Described turbine specification information is able to calculate the information of the turbine physical property shape of turbine efficiency.
12. data auxiliary input device according to claim 9, it is characterised in that
Described burner specification information includes the information of the efficiency of combustion of burner, the ignition temperature of burner or coolant injection amount.
13. data auxiliary input device according to claim 9, it is characterised in that
Described heat recovery boiler specification information includes the heat transfer area of heat exchanger, constitutes the spacing of the pipe of heat exchanger or the information of pipe radius.
14. a data input aiding method, it resolves output valve according to the input value of data items, it is characterised in that
Carry out following sensitivity analysis: evaluate the impact on output valve according to the excursion of the input value of described data items；
Result according to described sensitivity analysis, is evaluated the priority of the data items of input.
15. data input aiding method according to claim 14, it is characterised in that
Output is for showing the image display signal of impact on described output valve and for showing at least one in the image display signal of described priority.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2014259665A JP6453073B2 (en) | 2014-12-24 | 2014-12-24 | Data input support device and data input support method |
| JP2014-259665 | 2014-12-24 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105741007A true CN105741007A (en) | 2016-07-06 |
Family
ID=56244295
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510957585.0A Pending CN105741007A (en) | 2014-12-24 | 2015-12-18 | Data input assisting device and data input assisting method |
Country Status (2)
| Country | Link |
|---|---|
| JP (1) | JP6453073B2 (en) |
| CN (1) | CN105741007A (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000267890A (en) * | 1999-03-19 | 2000-09-29 | Hitachi Ltd | Method and device for executing simulation program |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007255982A (en) * | 2006-03-22 | 2007-10-04 | Mitsubishi Electric Corp | Target track correlation device, and correlation determination method of target track |
| WO2011080547A1 (en) * | 2009-12-31 | 2011-07-07 | Abb Research Ltd | Process optimization method and system for a power plant |
-
2014
- 2014-12-24 JP JP2014259665A patent/JP6453073B2/en active Active
-
2015
- 2015-12-18 CN CN201510957585.0A patent/CN105741007A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000267890A (en) * | 1999-03-19 | 2000-09-29 | Hitachi Ltd | Method and device for executing simulation program |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2016119023A (en) | 2016-06-30 |
| JP6453073B2 (en) | 2019-01-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2011089649A1 (en) | Diagnostic apparatus and diagnostic method | |
| Rahman et al. | Diagnostics-oriented modelling of micro gas turbines for fleet monitoring and maintenance optimization | |
| CN109154812A (en) | The monitoring method and program of monitoring arrangement, object apparatus | |
| JP2013143009A (en) | Equipment state monitoring method and device using the same | |
| CN107710089B (en) | Plant equipment diagnosis device and plant equipment diagnosis method | |
| Gitzel | Data Quality in Time Series Data: An Experience Report. | |
| JP2017084224A (en) | Design support device, program, and design support method | |
| Alberto Misté et al. | Turbojet engine performance tuning with a new map adaptation concept | |
| Tsatsaronis et al. | Understanding the formation of costs and environmental impacts using exergy-based methods | |
| JP2018081350A (en) | Operation support device and program | |
| Rossi et al. | Physics-based dynamic models of three SOFC/GT emulator test rigs | |
| Vieira et al. | Maximization of the profit of a complex combined-cycle cogeneration plant using a professional process simulator | |
| CN105741007A (en) | Data input assisting device and data input assisting method | |
| JP2019057112A (en) | Design information processing device and program | |
| JP5647626B2 (en) | Plant state monitoring device and plant state monitoring method | |
| JP6302755B2 (en) | Data generation system for plant diagnosis | |
| JP6554162B2 (en) | Power plant performance evaluation method and power plant performance evaluation program | |
| US11295039B2 (en) | Support system and method | |
| US10845792B2 (en) | Failure diagnosis apparatus, monitoring apparatus, failure diagnosis method and recording medium | |
| Hong et al. | An online monitoring method for creep-fatigue life consumption with real-time damage accumulation | |
| Fu et al. | Digital twin-driven vibration amplitude simulation for condition monitoring of axial blowers in blast furnace ironmaking | |
| JP6880864B2 (en) | Energy management system and energy management method | |
| Liangqi et al. | Response surface methodology-based hybrid robust design optimization for complex product under mixed uncertainties | |
| JP6615892B2 (en) | Time-varying profiling engine for physical systems | |
| KR101719715B1 (en) | Operating method for supporting maintenance for gas turbine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160706 |