CN107621934A - Based on modularization, the evaluation index computational methods of graphical operator and device - Google Patents
Based on modularization, the evaluation index computational methods of graphical operator and device Download PDFInfo
- Publication number
- CN107621934A CN107621934A CN201710627375.4A CN201710627375A CN107621934A CN 107621934 A CN107621934 A CN 107621934A CN 201710627375 A CN201710627375 A CN 201710627375A CN 107621934 A CN107621934 A CN 107621934A
- Authority
- CN
- China
- Prior art keywords
- operator
- data
- evaluation index
- algorithm
- modularization
- 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.)
- Granted
Links
Abstract
The present invention is applied to Command Information System simulated training evaluation areas, there is provided a kind of to be included based on modularization, the evaluation index computational methods of graphical operator and device, methods described：Suitable based process operator is selected according to the algorithm design requirement of evaluation index, based process operator is patterned into logic by directed connection line connects, and formation algorithm calculates the overall process logic implemented；Configure the attribute and parameter of each based process operator；Each based process operator performs automatically in order, exports final evaluation index.Logic connection and parameter designing are carried out by patterned interface, can more easily design evaluation algorithm flow, it is more friendly to operator, the index and its algorithm of complexity can be more efficiently and easily designed by the operator combination mode of modularization.
Description
Technical field
The invention belongs to Command Information System simulated training evaluation areas, more particularly to it is a kind of based on modularization, it is graphical
The evaluation index computational methods and device of operator.
Background technology
The simulated training assessment system of Command Information System, there is provided the common framework of Training valuation, realize comprehensive assessment
Function and professional assessment system integration function, it is mainly used in the quantitative and fixed of Command Information System simulated training quality and effect
Property analysis and evaluation, scientifically to carry out Training valuation, effectively improving training effect and lay the foundation.
The estimation flow of simulated training assessment system is at present：Structure evaluation index system, input scheme data, selection are commented
Estimate method, data process＆analysis, assessment result displaying.Wherein select in appraisal procedure step, it is necessary to set each assessment to refer to
Target weight and evaluation index value calculation, typically there is artificial marking for integrated estimation system and calculate two kinds of sides automatically
Formula.Artificial marking is the concrete numerical value that appraiser's selection provides evaluation index value by manually marking, further according to index system
Carry out calculating comprehensive assessment result.Automatic calculating is that appraiser selects to set the calculating operator and index weights of each index,
Corresponding evaluation index is calculated according to the protocol of input automatically, obtains assessment result.
Here selection is automatic to calculate evaluation index mode, has many optional operators in evaluation operators modeling tool (i.e.
Algorithm), algorithm can independent computing, or pass through algorithm combination come implementation data assessment calculate.In conventional method
The calculating process of operator needs to consider the specification of inputoutput data, is generally combined to realize completely by way of script
Algorithm flow.This combination needs estimation flow designer to have certain assessment stock of knowledge and certain programming energy
Power realizes optimal assessment algorithm flow, adds the design difficulty of evaluation index value calculating.
The content of the invention
In view of the above problems, it is an object of the invention to provide a kind of evaluation index based on modularization, graphical operator
Computational methods and device, by using the Row control operator of modularization, data pick-up operator, data conversion operator, conventional calculation
Method operator and User Defined operator, by oriented line by basic operator combination, and the corresponding attribute of operator and parameter are set
The design of index calculating method is realized, the larger technical problem of design method difficulty is calculated to solve existing evaluation index value.
On the one hand, the evaluation index computational methods based on modularization, graphical operator comprise the steps：
Suitable based process operator is selected according to the algorithm design requirement of evaluation index, by directed connection line by basis
Processing operator is patterned logic connection, forms evaluation index algorithm and calculates the overall process logical sum path implemented；
Configure the attribute and parameter of each based process operator, including the input parameter of operator, output parameter, control strip
Part, algorithmic function, algorithmic code, abnormality processing；
According to the overall process logic, each based process operator performs by order as defined in directed connection line is automatic, and
Carry out monitoring and the record of overall process, if running into abnormal conditions in implementation procedure, the output parameter lattice specified according to user
Formula, export final evaluation index.
Further, the based process operator include Row control operator, data pick-up operator, data conversion operator,
Algorithms most in use operator and User Defined operator, the Row control operator are beginning, the condition for representing evaluation index calculating
The Row control relational operator redirect, completed, the data pick-up operator are represented according to different needs from a variety of different
The data source of isomery extracts the operator of data, the data conversion operator be represent to change tables of data, calculate, combine,
The operator of fractured operation, the algorithms most in use operator are the operations for representing to carry out data various mathematical computations, and the user is certainly
The operator that operator is to provide general code skeleton and interface is defined, user according to demand, directly writes Special operator processing generation
Code.I.e. self-defined operator script.
Further, the algorithms most in use operator be divided into statistics calculate operator, matrix manipulation operator, mathematical operation operator,
Variance analysis operator, regression analysis operator, sensitivity analysis operator, cluster analysis operator, fuzzy evaluation operator.
Further, the Row control operator includes starting operator, completes operator, conditional jump operator, it is specified that calculating
Method calculates the starting point implemented, terminal, it is specified that the branching selection mode redirected according to specified conditions, so as to cooking up
Algorithm calculates the fullpath implemented；Start operator to be connected with data pick-up operator, first from finger when starting to perform so as to algorithm
Determine data source and obtain related data, and necessary pretreatment is carried out by data conversion operator, then transfer to algorithms most in use operator to enter
Row processing, finally calculates evaluation index；
All operators are respectively provided with general, accordant interface, and customized processing method, by oriented between operator
Connecting line carries out matching connection, and one end of connecting line is outlet operator, and the other end is entrance operator, obtains the data of outlet operator
The Data Input Interface parameter of output interface parameter and entrance operator, judges whether the form of two group interface parameters matches, if
Then the two operators are connected by connecting line for matching, and the prompting that can not be connected is provided if mismatching.
On the other hand, the evaluation index computing device based on modularization, graphical operator includes：
Operator selecting unit, suitable based process operator is selected according to the algorithm design requirement of evaluation index, by having
Based process operator is patterned logic connection to connecting line, evaluation index algorithm is formed and calculates the overall process logic implemented
And path；
Operator dispensing unit, configure the attribute and parameter of each based process operator, including the input parameter of operator, output
Parameter, control condition, algorithmic function, algorithmic code, abnormality processing；
Operator execution unit, for determining according to the overall process logic, each based process operator by directed connection line gauge
Order perform automatically, and monitoring and the record of overall process are carried out, if running into abnormal conditions in implementation procedure, according to user
The output parameter form specified, exports final evaluation index.
Further, the based process operator include Row control operator, data pick-up operator, data conversion operator,
Algorithms most in use operator and User Defined operator, the Row control operator are beginning, the condition for representing evaluation index calculating
The Row control relational operator redirect, completed, the data pick-up operator are represented according to different needs from a variety of different
The data source of isomery extracts the operator of data, the data conversion operator be represent to change tables of data, calculate, combine,
The operator of fractured operation, the algorithms most in use operator are the operations for representing to carry out data various mathematical computations, and the user is certainly
The operator that operator is to provide general code skeleton and interface is defined, user according to demand, directly writes Special operator processing generation
Code.I.e. self-defined operator script.
Further, the algorithms most in use operator be divided into statistics calculate operator, matrix manipulation operator, mathematical operation operator,
Variance analysis operator, regression analysis operator, sensitivity analysis operator, cluster analysis operator, fuzzy evaluation operator.
Further, the operator selecting unit includes：
The Row control operator includes starting operator, completes operator, conditional jump operator, it is specified that algorithm calculates implements
Starting point, terminal, it is specified that the branching selection mode redirected according to specified conditions, so as to cook up algorithm calculate it is real
The fullpath applied；Start operator to be connected with data pick-up operator, obtained first from specified data source when starting and perform so as to algorithm
Related data is taken, and necessary pretreatment is carried out by data conversion operator, then transfers to algorithms most in use operator to be handled, finally
Calculate evaluation index；
All operators are respectively provided with general, accordant interface, and customized processing method, by oriented between operator
Connecting line carries out matching connection, and one end of connecting line is outlet operator, and the other end is entrance operator, obtains the data of outlet operator
The Data Input Interface parameter of output interface parameter and entrance operator, judges whether the form of two group interface parameters matches, if
Then the two operators are connected by connecting line for matching, and the prompting that can not be connected is provided if mismatching.
The beneficial effects of the invention are as follows：The present invention models in the evaluation operators of Command Information System simulated training assessment system
In instrument, using modularization basis operator, logic connection and parameter designing are carried out by patterned interface, can be more easily
Design evaluation algorithm flow, graphical operation interface is more friendly to operator, passes through this mode of the operator combination of modularization
The index computational algorithm of complexity can simply and easily be designed.
Brief description of the drawings
Fig. 1 is the estimation flow figure of the simulated training assessment system of Command Information System；
Fig. 2 is the flow chart of the evaluation index design based on modularization, graphical operator, test and computational methods；
Fig. 3 is that graphical evaluation index value calculates design operation interface schematic diagram；
Fig. 4 is the graphical calculating logic exemplary plot to be formed；
Fig. 5 is the block diagram of the evaluation index design based on modularization, graphical operator, test and computing device.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
In order to illustrate technical solutions according to the invention, illustrated below by specific embodiment.
Embodiment one：
As shown in Fig. 2 the present embodiment offer is based on modularization, the evaluation index computational methods tool of graphical operator
Body comprises the steps：
Step S101, suitable based process operator is selected according to the algorithm design requirement of evaluation index, passes through oriented company
Based process operator is patterned logic connection by wiring, is formed evaluation index algorithm and is calculated the overall process logical sum road implemented
Footpath.
In the present embodiment, the based process operator refers to the soft of conventional, general computational methods and processing method etc.
Part component, mainly include Row control operator, data pick-up operator, data conversion operator, algorithms most in use operator and user certainly
Define operator etc..
The Row control operator is to represent beginning, conditional jump, the Row control such as completions correlation that evaluation index calculates
Operator.The data pick-up operator is the calculation for representing to extract data from the data source of a variety of different isomeries according to different needs
Son.The data conversion operator is the operator operation such as represent to change tables of data, calculate, combine, splitting.It is described conventional
Algorithm operator is the operation for representing to carry out data various common mathematical calculating.The algorithms most in use operator can further be divided into
Statistics calculate operator (such as maximum, minimum value, average value, median, variance, mean square deviation), matrix manipulation operator (transposition,
Invert, characteristic value, proper polynomial, QR decompose, LU decompose etc.), mathematical operation operator (add, subtract, multiplication and division, n powers, n root,
Difference etc.), variance analysis operator, regression analysis operator, sensitivity analysis operator, cluster analysis operator, fuzzy evaluation operator etc.
Deng.The User Defined operator is to provide the operator of general code skeleton and interface, and user according to demand, directly writes spy
Different operator processing code.I.e. self-defined operator script.
The Row control operator includes starting operator, completes operator, conditional jump operator, it is specified that algorithm calculates implements
Starting point, terminal, it is specified that the branching selection mode redirected according to specified conditions, so as to cook up algorithm calculate it is real
The fullpath applied；Start operator to be connected with data pick-up operator, obtained first from specified data source when starting and perform so as to algorithm
Related data is taken, and necessary pretreatment is carried out by data conversion operator, then transfers to algorithms most in use operator to be handled, finally
Calculate evaluation index.All operators are respectively provided with general, accordant interface, and customized processing method, so as to significantly
It is easy to the reuse and transformation of operator.Matching connection is carried out by directed connection line between operator, one end of connecting line is mental arithmetic
Son, the other end are entrance operators, obtain the data output interface parameter of outlet operator and the Data Input Interface of entrance operator
Parameter, judges whether the form of two group interface parameters matches, and the two operators are connected by connecting line if matching, if mismatching
Then provide the prompting that can not be connected
In Fig. 1, structure evaluation index system is completed by index system design tool in assessment system.The work of the instrument
With being description Command Information System simulated training management system, lead limitation of the tune group to assessment indicator system needed for simulated training,
Index system is established based on simulated training process and scenario result.The output of this process is according to constructed by assessing target
Index system.Input scheme data are completed by data prediction handling implement in assessment system, and the effect of the instrument is to receive
Input data is simultaneously pre-processed, and input mainly includes the Excel file of Command Information System simulated training generation, text text
Part, SqlServer database, oracle database, simulation scenario and playback file.Output master caused by data prediction instrument
To include the tables of data after processing, can derived text and Excel file.The data pick-up operator of the present embodiment is exactly the number
Tables of data after the processing of Data preprocess instrument.
Selection appraisal procedure shown in Fig. 1 by evaluation operators modeling tool in assessment system by being completed.The instrument
Effect is the computation rule for establishing data to evaluation index value, and input includes the tables of data after the index system built and processing,
Output then refers to target computation rule method.The present invention using evaluation operators modeling tool devise a kind of modularization, graphically
Evaluation index calculates design method, in this step, the operator of selection is patterned into logic with connecting line and connected, is formed and assessed
Index algorithm calculates the overall process logical sum path implemented.
A kind of graphical operation interface described in reference picture 3, in design evaluation desired value computational algorithm, there is basis in left side
Operator Library, have selective Row control operator, data pick-up operator, data conversion operator, algorithms most in use operator and user from
Operator is defined, but also can be with spread foundation Operator Library.
It is first according to algorithm design requirement and suitable modularization operator is selected in basic Operator Library, if necessary to user certainly
Define operator and be then also an option that suitable User Defined operator, and the operator of selection is shown in Graphic Design interface
Show, and the position for moving operator carries out rational deployment.In general, calculated using Row control operator as operator and completion is started
Son, start operator and be connected with data pick-up operator, be each data conversion of connection between data pick-up operator and completion operator
Operator, algorithms most in use operator and User Defined operator, carry out data calculating processing.In operator connection procedure, for needing
The both sides' operator to be connected, a side are that outlet operator the opposing party is entrance operator, and outlet operator is in upstream, and entrance operator is under
Trip.The data conversion operator has Data Input Interface and data output interface, and interface includes interface parameters, and certain data are calculated
Son also has data output interface.Obtain the data output interface parameter of outlet operator and the Data Input Interface ginseng of entrance operator
Number, judges whether the form of two group interface parameters matches, and the two operators are connected by connecting line if matching, if mismatching
Provide the prompting that can not be connected.
Due to can all being connected between any two operator, for two operators to be connected, pass through detection
Export the data output interface parameter of operator and whether the Data Input Interface parameter of entrance operator is matched to judge that two kinds are
It is no to connect.The interface parameters is exactly the species of the input/output data of operator interface, quantity etc..Such as outlet operator A
Data output interface parameter in have data type X, and entrance operator B Data Input Interface parameter only has data type Y, this
It can not be connected between two kinds of operators, even if after otherwise connecting, operator, which performs, can also malfunction.
Step S102, the attribute and parameter of each processing operator, including the input parameter of operator, output parameter, control are configured
Condition processed, algorithmic function, algorithmic code, abnormality processing.
Here mainly the attribute and parameter of data operator are configured.Such as filter operator, it is necessary to set filtering
Condition, expression formula operator need user to define calculation expression.Complete patterned logic connection and configuration attribute parameter
After step, the flow chart of evaluation index value calculating method can be just arrived, the flow chart is also the computation rule of evaluation index value.
Step S103, according to each based process operator of the overall process logic, the order as defined in directed connection line is automatic
Perform, and carry out monitoring and the record of overall process, if running into abnormal conditions in implementation procedure, the output specified according to user
Parameter format, export final evaluation index.
This step carries out evaluation index calculating according to the calculating logic of design, after obtaining evaluation index, is commented by synthesis
Display systems are estimated to show comprehensive list of results, and the result of assessment is shown.
One is set forth below, as shown in figure 4, flow starts, selects a Row control operator as operator is started, then
Need to select two data pick-up operators, i.e. tables of data TAB_FA_COMMANDNODE and TAB_FA_VEHICLE.To every number
Respectively deleted according to table with a filter operator and select qualified data, i.e., filter operator 1 and filter operator 2 in figure.After filtering
Data application connects operator, and the result of two tables of data is connected, then carries out packet assembling with Aggregation Operator, and here two
Individual filter operator and a connection operator, an Aggregation Operator are exactly the data conversion operator of selection, and the script illustrated afterwards is i.e.
User Defined operator, by the self-defined calculation of C# scripts, finally obtain result and complete calculation process, select a flow
Control operators terminate as operator representation flow is completed.
It can be seen that from above-mentioned example, open personnel only need to select suitable operator, then by connecting line by each calculation
Son connects, it is possible to forms a full assessment index value calculating method, without the written in code in view of bottom, therefore
Various complicated evaluation index value calculating methods can be quickly designed according to demand, reduce development difficulty.
Invention provides a kind of connection of the logic of graphic interface and parameter configuration operation, pass through the operator of modularization
The index computational algorithm of complexity can simply and easily be designed by combining this mode, how calculate the specific mistake of evaluation index value
Journey is not that the present invention is of concern.And patterned logic connecting relation can become apparent from directly understanding evaluation index value
The frame structure of computational algorithm, logical relation become apparent from, not high to the code calls of exploitation designer, various multiple without writing
Miscellaneous logical code, reduce the design difficulty of evaluation index value calculating.
Embodiment two：
As shown in figure 5, the evaluation index computing device based on modularization, graphical operator that the present embodiment provides includes：
Operator selecting unit 51, suitable based process operator is selected according to the algorithm design requirement of evaluation index, is passed through
Based process operator is patterned logic connection by directed connection line, is formed the overall process that the calculating of evaluation index algorithm is implemented and is patrolled
Volume and path；
Operator dispensing unit 52, configures the attribute and parameter of each based process operator, including the input parameter of operator, defeated
Go out parameter, control condition, algorithmic function, algorithmic code, abnormality processing；
Operator execution unit 53, for pressing directed connection line gauge according to the overall process logic, each based process operator
Fixed order performs automatically, and carries out monitoring and the record of overall process, if running into abnormal conditions in implementation procedure, according to
The output parameter form that family is specified, exports final evaluation index.
The functional unit 51-53 that the present embodiment provides correspondingly realizes the step S101-S103 in embodiment one, passes through calculation
Sub- selecting unit selects suitable based process operator, and then graphic logic connects, and is calculated by operator configuration of described dispensing unit
The attribute and parameter of son, calculation process is performed finally by operator execution unit, obtains evaluation index to the end.At the basis
Adjustment attached bag includes Row control operator, data pick-up operator, data conversion operator, algorithms most in use operator and User Defined and calculated
Son, the Row control operator be represent evaluation index calculate beginning, conditional jump, complete Row control relational operator,
The data pick-up operator is to represent the operator according to different needs from the data source extraction data of a variety of different isomeries, institute
It is to represent to change tables of data, calculate, combine, the operator of fractured operation to state data conversion operator, and the algorithms most in use is calculated
Son is the operation for representing to carry out data various mathematical computations, the User Defined operator be to provide general code skeleton and
The operator of interface, user according to demand, directly write Special operator processing code.I.e. self-defined operator script.The conventional calculation
Method operator is divided into statistics and calculates operator, matrix manipulation operator, mathematical operation operator, variance analysis operator, regression analysis operator, spirit
Basis of sensitivity analysis operator, cluster analysis operator, fuzzy evaluation operator.
Further, the Row control operator includes starting operator, completes operator, conditional jump operator, it is specified that calculating
Method calculates the starting point implemented, terminal, it is specified that the branching selection mode redirected according to specified conditions, so as to cooking up
Algorithm calculates the fullpath implemented；Start operator to be connected with data pick-up operator, first from finger when starting to perform so as to algorithm
Determine data source and obtain related data, and necessary pretreatment is carried out by data conversion operator, then transfer to algorithms most in use operator to enter
Row processing, finally calculates evaluation index；
All operators are respectively provided with general, accordant interface, and customized processing method, by oriented between operator
Connecting line carries out matching connection, and one end of connecting line is outlet operator, and the other end is entrance operator, obtains the data of outlet operator
The Data Input Interface parameter of output interface parameter and entrance operator, judges whether the form of two group interface parameters matches, if
Then the two operators are connected by connecting line for matching, and the prompting that can not be connected is provided if mismatching.
The functional unit and functional module of the embodiment of the present invention have corresponding execution step in embodiment one, here no longer
Repeat.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement made within refreshing and principle etc., should be included in the scope of the protection.
Claims (8)
1. a kind of evaluation index computational methods based on modularization, graphical operator, it is characterised in that methods described includes following
Step：
Suitable based process operator is selected according to the algorithm design requirement of evaluation index, by directed connection line by based process
Operator is patterned logic connection, forms evaluation index algorithm and calculates the overall process logical sum path implemented；
Configure the attribute and parameter of each based process operator, including the input parameter of operator, output parameter, control condition, calculation
Method function, algorithmic code, abnormality processing；
According to the overall process logic, each based process operator performs by order as defined in directed connection line is automatic, and carries out
The monitoring of overall process and record, if running into abnormal conditions in implementation procedure, the output parameter form specified according to user is defeated
Go out final evaluation index.
2. the evaluation index computational methods based on modularization, graphical operator as claimed in claim 1, it is characterised in that described
Based process operator includes Row control operator, data pick-up operator, data conversion operator, algorithms most in use operator and user certainly
Define operator, the Row control operator be represent beginning, conditional jump that evaluation index calculates, the Row control completed it is related
Operator, the data pick-up operator are the calculations for representing to extract data from the data source of a variety of different isomeries according to different needs
Son, the data conversion operator are to represent to change tables of data, calculate, combine, the operator of fractured operation, the conventional calculation
Method operator is the operation for representing to carry out data various mathematical computations, and the User Defined operator is to provide general code frame
The operator of frame and interface, user according to demand, directly write Special operator processing code.I.e. self-defined operator script.
3. the evaluation index computational methods based on modularization, graphical operator as claimed in claim 2, it is characterised in that described
Algorithms most in use operator is divided into statistics and calculates operator, matrix manipulation operator, mathematical operation operator, variance analysis operator, regression analysis
Operator, sensitivity analysis operator, cluster analysis operator, fuzzy evaluation operator.
4. the evaluation index computational methods based on modularization, graphical operator as claimed in claim 3, it is characterised in that described
Row control operator includes starting operator, completes operator, conditional jump operator, it is specified that algorithm calculates the starting point implemented, terminal,
The branching selection mode redirected according to specified conditions is defined, the complete road implemented is calculated so as to cook up algorithm
Footpath；Start operator to be connected with data pick-up operator, related data obtained from specified data source first when starting to perform so as to algorithm,
And necessary pretreatment is carried out by data conversion operator, then transfer to algorithms most in use operator to be handled, finally calculate assessment
Index；
All operators are respectively provided with general, accordant interface, and customized processing method, pass through directed connection between operator
Line carries out matching connection, and one end of connecting line is outlet operator, and the other end is entrance operator, obtains the data output of outlet operator
The Data Input Interface parameter of interface parameters and entrance operator, judges whether the form of two group interface parameters matches, if matching
Then the two operators are connected by connecting line, and the prompting that can not be connected is provided if mismatching.
5. a kind of evaluation index computing device based on modularization, graphical operator, it is characterised in that described device includes：
Operator selecting unit, suitable based process operator is selected according to the algorithm design requirement of evaluation index, passes through oriented company
Based process operator is patterned logic connection by wiring, is formed evaluation index algorithm and is calculated the overall process logical sum road implemented
Footpath；
Operator dispensing unit, configure the attribute and parameter of each based process operator, including the input parameter of operator, output ginseng
Number, control condition, algorithmic function, algorithmic code, abnormality processing；
Operator execution unit, for suitable as defined in directed connection line according to the overall process logic, each based process operator
Sequence performs automatically, and carries out monitoring and the record of overall process, if running into abnormal conditions in implementation procedure, is specified according to user
Output parameter form, export final evaluation index.
6. the evaluation index computing device based on modularization, graphical operator as claimed in claim 5, it is characterised in that described
Based process operator includes Row control operator, data pick-up operator, data conversion operator, algorithms most in use operator and user certainly
Define operator, the Row control operator be represent beginning, conditional jump that evaluation index calculates, the Row control completed it is related
Operator, the data pick-up operator are the calculations for representing to extract data from the data source of a variety of different isomeries according to different needs
Son, the data conversion operator are to represent to change tables of data, calculate, combine, the operator of fractured operation, the conventional calculation
Method operator is the operation for representing to carry out data various mathematical computations, and the User Defined operator is to provide general code frame
The operator of frame and interface, user according to demand, directly write Special operator processing code.I.e. self-defined operator script.
7. the evaluation index computing device based on modularization, graphical operator as claimed in claim 6, it is characterised in that described
Algorithms most in use operator is divided into statistics and calculates operator, matrix manipulation operator, mathematical operation operator, variance analysis operator, regression analysis
Operator, sensitivity analysis operator, cluster analysis operator, fuzzy evaluation operator.
8. the evaluation index computing device based on modularization, graphical operator as claimed in claim 7, it is characterised in that described
Row control operator includes starting operator, completes operator, conditional jump operator, it is specified that algorithm calculates the starting point implemented, terminal,
The branching selection mode redirected according to specified conditions is defined, the complete road implemented is calculated so as to cook up algorithm
Footpath；Start operator to be connected with data pick-up operator, related data obtained from specified data source first when starting to perform so as to algorithm,
And necessary pretreatment is carried out by data conversion operator, then transfer to algorithms most in use operator to be handled, finally calculate assessment
Index；
All operators are respectively provided with general, accordant interface, and customized processing method, pass through directed connection between operator
Line carries out matching connection, and one end of connecting line is outlet operator, and the other end is entrance operator, obtains the data output of outlet operator
The Data Input Interface parameter of interface parameters and entrance operator, judges whether the form of two group interface parameters matches, if matching
Then the two operators are connected by connecting line, and the prompting that can not be connected is provided if mismatching.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710627375.4A CN107621934B (en) | 2017-07-28 | 2017-07-28 | Evaluation index calculation method and device based on modular and graphical operators |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710627375.4A CN107621934B (en) | 2017-07-28 | 2017-07-28 | Evaluation index calculation method and device based on modular and graphical operators |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107621934A true CN107621934A (en) | 2018-01-23 |
| CN107621934B CN107621934B (en) | 2020-11-03 |
Family
ID=61088103
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710627375.4A Active CN107621934B (en) | 2017-07-28 | 2017-07-28 | Evaluation index calculation method and device based on modular and graphical operators |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107621934B (en) |
Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108734414A (en) * | 2018-06-05 | 2018-11-02 | 山东省海洋资源与环境研究院 | A kind of marine environmental monitoring data normalization storage and the system of analysis and appraisal |
| CN109657782A (en) * | 2018-12-14 | 2019-04-19 | 北京中科寒武纪科技有限公司 | Operation method, device and Related product |
| CN109740730A (en) * | 2018-12-14 | 2019-05-10 | 北京中科寒武纪科技有限公司 | Operation method, device and Related product |
| CN110362306A (en) * | 2018-04-11 | 2019-10-22 | 阿里巴巴集团控股有限公司 | Customizing method, model generating method and the device of graphical algorithm assembly |
| CN110473120A (en) * | 2018-05-10 | 2019-11-19 | 深圳富桂精密工业有限公司 | Micro services isomery regenerative system, method and storage medium based on industry internet |
| CN110764753A (en) * | 2019-09-18 | 2020-02-07 | 亚信创新技术(南京)有限公司 | Business logic code generation method, device, equipment and storage medium |
| CN111324345A (en) * | 2020-03-19 | 2020-06-23 | 北京奇艺世纪科技有限公司 | Data processing mode generation method, data processing method and device and electronic equipment |
| CN112130933A (en) * | 2020-08-04 | 2020-12-25 | 中科天玑数据科技股份有限公司 | Method and device for constructing and calling operator set |
| CN112346736A (en) * | 2020-11-17 | 2021-02-09 | 北京九章云极科技有限公司 | Data processing method and system |
| CN112364085A (en) * | 2020-11-20 | 2021-02-12 | 浙江百应科技有限公司 | Feature extraction and calculation method based on MapReduce thought |
| CN112433702A (en) * | 2020-12-19 | 2021-03-02 | 合肥汉腾信息技术有限公司 | Lightweight process design system and method |
| CN112633502A (en) * | 2020-12-29 | 2021-04-09 | 北京百度网讯科技有限公司 | Cross-platform execution method and device of deep learning model and electronic equipment |
| CN112749194A (en) * | 2020-06-03 | 2021-05-04 | 腾讯科技（深圳）有限公司 | Visualized data processing method and device, electronic equipment and readable storage medium |
| CN112764721A (en) * | 2021-01-15 | 2021-05-07 | 南京中兴力维软件有限公司 | Data processing method, device, system and computer readable storage medium |
| CN112801439A (en) * | 2019-11-14 | 2021-05-14 | 深圳百迈技术有限公司 | Task management method and device |
| CN113434119A (en) * | 2021-06-24 | 2021-09-24 | 江苏创源电子有限公司 | Business processing method and device based on process control |
| CN113469284A (en) * | 2021-07-26 | 2021-10-01 | 浙江大华技术股份有限公司 | Data analysis method, device and storage medium |
| CN114185874A (en) * | 2022-02-15 | 2022-03-15 | 中国电子科技集团公司第十五研究所 | Big data based modeling method and device, development framework and equipment |
| CN114880395A (en) * | 2022-07-05 | 2022-08-09 | 浙江大华技术股份有限公司 | Algorithm scheme operation method, visualization system, terminal device and storage medium |
| CN114879943A (en) * | 2022-06-30 | 2022-08-09 | 浙江大华技术股份有限公司 | Algorithm scheme generation method and device and computer readable storage medium |
| CN115545401A (en) * | 2022-08-26 | 2022-12-30 | 广州市规划和自然资源自动化中心(广州市基础地理信息中心) | City physical examination evaluation method and system based on visual index model configuration and computer equipment |
| CN116257303A (en) * | 2023-05-04 | 2023-06-13 | 支付宝(杭州)信息技术有限公司 | Data security processing method and device, storage medium and electronic equipment |
| CN113434119B (en) * | 2021-06-24 | 2024-04-26 | 江苏创源电子有限公司 | Service processing method and device based on flow control |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5966072A (en) * | 1996-07-02 | 1999-10-12 | Ab Initio Software Corporation | Executing computations expressed as graphs |
| US20020089541A1 (en) * | 2000-02-14 | 2002-07-11 | Julian Orbanes | System for graphically interconnecting operators |
| CN1392978A (en) * | 2000-08-24 | 2003-01-22 | 泽姆普莱克斯有限公司 | Method of graphically defining formula |
| CN101192239A (en) * | 2006-12-01 | 2008-06-04 | 国际商业机器公司 | System and method for implementing a unified model for integration systems |
| CN102138139A (en) * | 2008-06-30 | 2011-07-27 | 起元技术有限责任公司 | Data logging in graph-based computations |
| CN105009078A (en) * | 2013-02-12 | 2015-10-28 | 起元科技有限公司 | Building applications for configuring processes |
| CN106663075A (en) * | 2014-09-02 | 2017-05-10 | 起元科技有限公司 | Executing graph-based program specifications |
-
2017
- 2017-07-28 CN CN201710627375.4A patent/CN107621934B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5966072A (en) * | 1996-07-02 | 1999-10-12 | Ab Initio Software Corporation | Executing computations expressed as graphs |
| US20020089541A1 (en) * | 2000-02-14 | 2002-07-11 | Julian Orbanes | System for graphically interconnecting operators |
| CN1392978A (en) * | 2000-08-24 | 2003-01-22 | 泽姆普莱克斯有限公司 | Method of graphically defining formula |
| CN101192239A (en) * | 2006-12-01 | 2008-06-04 | 国际商业机器公司 | System and method for implementing a unified model for integration systems |
| CN102138139A (en) * | 2008-06-30 | 2011-07-27 | 起元技术有限责任公司 | Data logging in graph-based computations |
| CN105009078A (en) * | 2013-02-12 | 2015-10-28 | 起元科技有限公司 | Building applications for configuring processes |
| CN106663075A (en) * | 2014-09-02 | 2017-05-10 | 起元科技有限公司 | Executing graph-based program specifications |
Non-Patent Citations (2)
| Title |
|---|
| 蔺美青 等: "基于AHP 算子的武器系统作战效能评估建模", 《空军雷达学院学报》 * |
| 蔺美青 等: "基于算子的武器系统效能柔性评估建模方法论", 《第13届中国系统仿真技术及其应用学术年会》 * |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110362306A (en) * | 2018-04-11 | 2019-10-22 | 阿里巴巴集团控股有限公司 | Customizing method, model generating method and the device of graphical algorithm assembly |
| CN110473120A (en) * | 2018-05-10 | 2019-11-19 | 深圳富桂精密工业有限公司 | Micro services isomery regenerative system, method and storage medium based on industry internet |
| CN108734414A (en) * | 2018-06-05 | 2018-11-02 | 山东省海洋资源与环境研究院 | A kind of marine environmental monitoring data normalization storage and the system of analysis and appraisal |
| CN109657782A (en) * | 2018-12-14 | 2019-04-19 | 北京中科寒武纪科技有限公司 | Operation method, device and Related product |
| CN109740730A (en) * | 2018-12-14 | 2019-05-10 | 北京中科寒武纪科技有限公司 | Operation method, device and Related product |
| CN110764753A (en) * | 2019-09-18 | 2020-02-07 | 亚信创新技术(南京)有限公司 | Business logic code generation method, device, equipment and storage medium |
| CN112801439A (en) * | 2019-11-14 | 2021-05-14 | 深圳百迈技术有限公司 | Task management method and device |
| CN111324345A (en) * | 2020-03-19 | 2020-06-23 | 北京奇艺世纪科技有限公司 | Data processing mode generation method, data processing method and device and electronic equipment |
| CN112749194A (en) * | 2020-06-03 | 2021-05-04 | 腾讯科技（深圳）有限公司 | Visualized data processing method and device, electronic equipment and readable storage medium |
| CN112130933A (en) * | 2020-08-04 | 2020-12-25 | 中科天玑数据科技股份有限公司 | Method and device for constructing and calling operator set |
| CN112346736A (en) * | 2020-11-17 | 2021-02-09 | 北京九章云极科技有限公司 | Data processing method and system |
| CN112364085A (en) * | 2020-11-20 | 2021-02-12 | 浙江百应科技有限公司 | Feature extraction and calculation method based on MapReduce thought |
| CN112433702A (en) * | 2020-12-19 | 2021-03-02 | 合肥汉腾信息技术有限公司 | Lightweight process design system and method |
| CN112633502A (en) * | 2020-12-29 | 2021-04-09 | 北京百度网讯科技有限公司 | Cross-platform execution method and device of deep learning model and electronic equipment |
| CN112633502B (en) * | 2020-12-29 | 2022-03-22 | 北京百度网讯科技有限公司 | Cross-platform execution method and device of deep learning model and electronic equipment |
| CN112764721A (en) * | 2021-01-15 | 2021-05-07 | 南京中兴力维软件有限公司 | Data processing method, device, system and computer readable storage medium |
| CN113434119B (en) * | 2021-06-24 | 2024-04-26 | 江苏创源电子有限公司 | Service processing method and device based on flow control |
| CN113434119A (en) * | 2021-06-24 | 2021-09-24 | 江苏创源电子有限公司 | Business processing method and device based on process control |
| CN113469284A (en) * | 2021-07-26 | 2021-10-01 | 浙江大华技术股份有限公司 | Data analysis method, device and storage medium |
| CN114185874A (en) * | 2022-02-15 | 2022-03-15 | 中国电子科技集团公司第十五研究所 | Big data based modeling method and device, development framework and equipment |
| CN114879943A (en) * | 2022-06-30 | 2022-08-09 | 浙江大华技术股份有限公司 | Algorithm scheme generation method and device and computer readable storage medium |
| CN114880395A (en) * | 2022-07-05 | 2022-08-09 | 浙江大华技术股份有限公司 | Algorithm scheme operation method, visualization system, terminal device and storage medium |
| CN115545401A (en) * | 2022-08-26 | 2022-12-30 | 广州市规划和自然资源自动化中心(广州市基础地理信息中心) | City physical examination evaluation method and system based on visual index model configuration and computer equipment |
| CN116257303A (en) * | 2023-05-04 | 2023-06-13 | 支付宝(杭州)信息技术有限公司 | Data security processing method and device, storage medium and electronic equipment |
| CN116257303B (en) * | 2023-05-04 | 2023-08-15 | 支付宝(杭州)信息技术有限公司 | Data security processing method and device, storage medium and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107621934B (en) | 2020-11-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107621934A (en) | Based on modularization, the evaluation index computational methods of graphical operator and device | |
| CN108664638A (en) | Report form generation method based on index system and device | |
| CN104572072B (en) | A kind of language transfer method and equipment to the program based on MVC pattern | |
| CN107392125A (en) | Training method/system, computer-readable recording medium and the terminal of model of mind | |
| CN106295983A (en) | Power marketing data visualization statistical analysis technique and system | |
| CN105046279A (en) | Analog circuit fault mode classification method | |
| Chang | A comment on the calculation of the total-factor energy efficiency (TFEE) index | |
| CN105373472B (en) | A kind of method of testing and test system of the statistical accuracy based on database | |
| CN101872176A (en) | Method and system for generating measurement and control software | |
| CN107766946A (en) | Generate the method and system of the assemblage characteristic of machine learning sample | |
| CN108694448A (en) | PHM platforms | |
| CN108228861A (en) | For performing the method and system of the Feature Engineering of machine learning | |
| CN111369081A (en) | Flow configuration method and device, electronic equipment and storage medium | |
| CN106293891A (en) | Multidimensional investment target measure of supervision | |
| CN109656914A (en) | On-line off-line mixed air control modeling training and production dissemination method and system | |
| CN110349013A (en) | Risk control method and device | |
| CN107533473A (en) | Efficient wave for emulation generates | |
| CN108256626A (en) | The Forecasting Methodology and device of time series | |
| CN110298007A (en) | User behavior statistical method, device, electronic equipment and computer readable storage medium | |
| CN105930325A (en) | Reverse analysis method and device for file report comparative difference | |
| CN109242363B (en) | Full life cycle test management platform based on multiple quality control models | |
| CN107741906A (en) | Monetary fund system automation method of testing, device, equipment and storage medium | |
| CN107703773A (en) | A kind of method for testing software and device based on hardware-in-loop simulation system | |
| CN107247827A (en) | Empty terminal model modeling and automatic connecting method based on machine learning | |
| CN108491213A (en) | Software continuous integrated approach, software continuous integrating device and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |