CN103310040B - The construction method of versatile customization platform in electric secondary device simulation - Google Patents
The construction method of versatile customization platform in electric secondary device simulation Download PDFInfo
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Abstract
The invention provides the construction method of versatile customization platform in a kind of electric secondary device simulation, comprise the following steps: build data preparation module, build preparation data for expert knowledge library; Build complicated calculations preparation module, build preparation computing formula for expert knowledge library; And utilize the data and complicated calculations formula structure object level experts database and table level experts database that prepare, object level experts database and table level experts database comprise many Expert Rules with same composition structure, being for the record object in database in object level expert knowledge library, is the logical definition for the Attribute domain of secondary device table in database in table level expert knowledge library.The construction method of versatile customization platform of the present invention is by by data with calculate set-up procedure and peel off expert knowledge library, and what allow expert knowledge library be absorbed in Expert Rules builds the details characteristic need not considering each platform of bottom, simplifies the logic build process of whole emulation.
Description
Technical field
The present invention relates to electric secondary device simulation field, the construction method of versatile customization platform in a kind of electric secondary device simulation.
Background technology
Substation equipment maintenance and repair professional carries out the work of equipment regular inspection, maintenance etc. towards secondary device, to ensureing that the safe and stable operation of electrical network has vital role.The careful degree of maintenance specialty to secondary device emulation is very high, and the emulation relying on man-to-man program customized development will complete a set of like this complexity if simple, then development amount can be very huge, and the extendability of system is bad.
The maintenance process of secondary device is emulated in detail, needs to build various normal and abnormal conditions lower device action logic.The type of device regular inspection is a lot, and pilot project is also a lot, and programme all one by one realize if will emulate phenomenon to each, then the structure of system is very difficult, and the extendability of system and maintainability all can be very poor.Due to the complicacy of electric grid secondary device inherent logic, such system also must have expert's cooperative cooperating of association area just may realize.
The process building expert knowledge library is secondary development process, and this process is completed by the expert of relevant speciality.Its professional knowledge is being built in the process at expert knowledge library by expert, always wish that whole analogue system can provide simple secondary development environment efficiently, efficient, general, flexibly and easily back-up environment can be had for the establishment of knowledge base and operation provide, the details characteristic of each platform of bottom need not be considered, thus simplify the logic build process of whole emulation.A kind of suitable method is not yet had can effectively to provide such secondary development environment with the needs of satisfied emulation in prior art.
Summary of the invention
For the deficiencies in the prior art, the invention provides the construction method of versatile customization platform in a kind of electric secondary device simulation, shadow data and calculating set-up procedure, self of service logic content can be focused on when making to build expert knowledge library, and the details characteristic of each platform of bottom need not be considered, thus simplify the logic build process of whole emulation.
For reaching above-mentioned purpose, the present invention proposes the construction method of versatile customization platform in a kind of electric secondary device simulation, comprises the following steps: build data preparation module, its from a database acquisition number according to this for building preparation data for expert knowledge library, build complicated calculations preparation module, build preparation computing formula with what think expert knowledge library, and the computing formula that the data utilizing data preparation module to provide and complicated calculations preparation module provide builds object level experts database and table level experts database, wherein, object level experts database and table level experts database comprise many Expert Rules with same composition structure, the Rule of judgment used in object level expert knowledge library and action formula are for the record object in database, the Rule of judgment used in table level expert knowledge library and action formula are the logical definitions for the Attribute domain of secondary device table in database, the composition structure of aforementioned expert knowledge library comprises logical collection table, factor table, condition table and action schedule, wherein: logical collection table is the action scope of an Expert Rules, this action scope defines the scope of the factor, factor table is positioned at the lower floor of logical collection table, sets up the factor having Expert Rules, the current record object of Factor Source in data encasement, and specify the database association relation of each factor in factor table, set up the condition formula having Expert Rules in condition table, the variable in condition formula defined by the factor in factor table, action schedule is positioned at the lower floor of condition table, and it is set up has the action object of Expert Rules or variable and according to the factor determination action formula in factor table and operation condition, action object or variable derive from the current record object in data encasement.
Further, in aforementioned expert knowledge library, secondary device table comprises protective device table, measure and control device table, testing tool table, equipment wire list and automatic equipment table.
Further, aforementioned complicated calculations preparation module comprises function library, and this function library has multiple function formula and input/output argument table thereof, and aforementioned activities table calls corresponding function formula to realize the amendment to record object attribute values by a function name.
Further, when aforementioned action schedule calls a function formula, aforementioned activities object modification is function name, and action formula is revised as the transmitter of the input/output argument of function formula.
Further, when building expert knowledge library, the general character condition of performance logic general character being placed in aforementioned condition table, the individual character condition of track record object individual character being placed on the operation condition of the action schedule being arranged in condition table lower floor.
Further, aforementioned data preparation module obtains data by a general-purpose interface from one or more databases, and provides Data Source for the action object in the Summing Factor action schedule in aforementioned factors table.
Further, aforementioned data preparation module obtains data by general-purpose interface from the database of basic platform, and this basic platform comprises database, communication module and picture module, and in order to provide the base layer support of versatile customization platform.
Further, when building object level experts database and table level experts database, comprising the following steps: build needs according to the knowledge of expert and expert knowledge library, determining that an Expert Rules puts into object level experts database or table level experts database; Set up the logical collection table of Expert Rules, factor table, condition table and action schedule.
From the above technical solution of the present invention shows that, beneficial effect of the present invention is, by data encasement and calculating set-up procedure are peeled off expert knowledge library, to allow expert knowledge library be absorbed in building of Expert Rules.By the secondary development environment that versatile customization platform provides, the stable of support platform can be kept while service logic is constantly expanded, thus the logical simulation to different manufacturers device model different device type can be realized.
Accompanying drawing explanation
Fig. 1 is the exemplary flow schematic diagram of the construction method of versatile customization platform in electric secondary device simulation.
Fig. 2 is the formation of versatile customization platform in Fig. 1 embodiment and data and calculated relationship figure.
Embodiment
In order to more understand technology contents of the present invention, institute's accompanying drawings is coordinated to be described as follows especially exemplified by specific embodiment.
Shown in figure 1 and Fig. 2, according to preferred embodiment of the present invention, in electric secondary device simulation, versatile customization platform comprises two parts: Part I is data encasement and complicated calculations preparation part, and primary responsibility is that building of expert knowledge library prepares data and comparatively complicated computing formula; Part II is building and operation part of concrete expert knowledge library, and the data that this part utilizes data encasement and complicated calculations preparation part to provide and computing formula, utilize hierarchical layered structure, carry out building of expert knowledge library.Expert knowledge library comprises table level expert knowledge library and object level expert knowledge library, table level expert knowledge library and object level expert knowledge library comprise multiple Expert Rules with basic same composition structure, the composition structure of each Expert Rules comprises logical collection table, factor table, condition table and action schedule.
Wherein the source of data encasement is the database of a basic platform, and this basic platform provides base layer support for building of versatile customization platform, and basic platform comprises database, picture module and communication module.As shown in Figure 2, when building expert knowledge library, the data record in expert knowledge library all comes from the current record object in data encasement, and the data of current record object come from the database prospect operation of man-machine interface.In certain embodiments, operated by the database prospect of man-machine interface, also multiple record object can be put into alternative objects pond in advance, for the multiple record object of buffer memory, conveniently take at any time.
Data preparation module obtains data by a general-purpose interface from one or more databases.When building expert knowledge library, the action object that the data of the current record object that data preparation module provides from basic platform database are respectively in the Summing Factor action schedule in factor table provides Data Source.
Shown in composition graphs 1 and Fig. 2, the construction method of versatile customization platform in electric secondary device simulation, comprises the following steps: build data preparation module, its from a database acquisition number according to this for building preparation data for expert knowledge library; Build complicated calculations preparation module, build preparation computing formula with what think expert knowledge library; And the computing formula that the data utilizing data preparation module to provide and complicated calculations preparation module provide builds object level experts database and table level experts database, object level experts database and table level experts database comprise many Expert Rules with same composition structure, the Rule of judgment wherein used in object level expert knowledge library and action formula are for the record object in database, and the Rule of judgment used in table level expert knowledge library and action formula are the logical definitions for the Attribute domain of secondary device table in database.Wherein, secondary device table comprises protective device table, measure and control device table, testing tool table, equipment wire list and automatic equipment table, and wherein testing tool table comprises multimeter, relay-protection tester etc.Such as, there is the protective device of the same model of 10 cover in certain transformer station, 10 objects in this 10 covering device difference correspondence database in protective device table.If use object level expert knowledge library, need to define 10 duplicate device Action logics respectively for these 10 objects respectively, workload is very large, that is all needs design specialist's rule to single record object; If but adopt table level expert knowledge library, this table level expert knowledge library is not define for the record object in concrete database, but for the logical definition of the Attribute domain of secondary device table in database.Like this; the protective device of above-mentioned 10 same models only needs to carry out once for the logical definition in protective device table association attributes territory; then first carry out instantiation with the variable in concrete object his-and-hers watches level expert knowledge library when simulation run, rerun, just can obtain the result emulated.So, both can meet the intuitive demand using concrete object to carry out logical definition, and can adapt to again define the simplification of same logic, reduce the workload of platform building.
The composition structure of each Expert Rules comprises logical collection table, factor table, condition table and action schedule, wherein: logical collection table is the action scope of an Expert Rules, this action scope defines the scope of the factor, the factor only under action scope just works to action formula, under same or similar Expert Rules is attributed to same action scope, factor table is positioned at the lower floor of logical collection table, sets up the factor having Expert Rules, the current record object of Factor Source in data encasement, and specify the database association relation of each factor in factor table, shares all factors in same logical collection table, set up the condition formula having Expert Rules in condition table, the variable in condition formula defined by the factor in factor table, action schedule is positioned at the lower floor of condition table, it is set up has the action object of Expert Rules or variable and according to the factor determination action formula in factor table and operation condition, action object or variable derive from the current record object in data encasement, wherein, in object level expert knowledge library, the action object setting up Expert Rules in action schedule also i.e. current record object according to factor determination action formula and operation condition, in table level expert knowledge library, accordingly, the variable setting up Expert Rules in action schedule also namely Attribute domain logical definition and according to factor determination action formula and operation condition.
Shown in composition graphs 1 and Fig. 2, for building of object level expert knowledge library, when building a certain Expert Rules of versatile customization platform, data encasement is carried out by man-machine interface, select the prospect amount that database shows in picture, put it into existing object, build preparation data with what think expert knowledge library; When building expert knowledge library, expert is by the accumulation to expertise, according to the establishment needs of Expert Rules, sum up the function formula needing to use, and determine the parameter of input/output argument for defined formula in complicated calculations prepares, and according to the parameter in input/output argument table defined formula condition and formula formula in formula table.After completing data encasement and complicated calculations preparation, expert starts to build Expert Rules.
According to expertise and build needs, next determine that Expert Rules is placed on table level expert knowledge library or is placed in object level expert knowledge library, after determining the attribute of Expert Rules, for Expert Rules sets up an action scope in logical collection table, and name this Expert Rules.Then in the factor table of logical collection table lower floor, set up the factor used needing to use, all factors all derive from the data of the current record object in data encasement.In the condition table of logical collection table lower floor, set up the condition formula of Expert Rules, condition formula needs the factor in usage factor table to define.For the logic of complexity, need to carry out combing to condition, in condition table, the general character condition of performance logic general character is placed in aforesaid condition table, the individual character condition of track record object individual character is placed on the operation condition of the action schedule being arranged in condition table lower floor, the same like this combing that can realize condition, makes whole knowledge base orderliness clear.Condition under different action scope can be re-used, to reduce the definition difficulty of complex condition in other condition tables.The action object of Expert Rules is set up in the action schedule of the lower floor of condition table, action object derives from the data of the current record object in data encasement, finally determine the action formula in action schedule and operation condition, action formula and operation condition need the factor in usage factor table to define.According to expertise and build needs, if need to call complicated calculations prepare in function formula, then the action object in action schedule becomes function name, and action formula also becomes the transmitter of function input/output argument.
Wherein, in fig. 2, the set name of logical collection table refers to that expert or user can name Expert Rules voluntarily.Similarly, the name in condition table is the name voluntarily of corresponding condition formula, for flag condition formula.In factor table, logical name refers to the name voluntarily to the factor.
The action formula defined in the action schedule of Expert Rules, namely for a change records object's property value in database.These property values that will revise can be constants also can be the variable that usage operation formula defines, can also be realize complicated multivariate computation process by the function called in complicated calculations preparation in function library in addition, this function library has multiple function formula and input/output argument table thereof.Function library during complicated calculations prepares is used for defining comparatively complicated computation process specially, and the Expert Rules in expert knowledge library can be allowed like this to seem simple and clear.When action schedule in expert knowledge library can call some function formulas wherein by a function name, action object becomes function name corresponding to function formula, action formula also becomes the transmitter of function input/output argument, realizes the amendment to record object attribute values.Multiplexing the same with condition above-mentioned, the function body (being also function formula) in function library also can be re-used.
Complicated calculating is generally all defined in the calculating preparation of data encasement and complicated calculations preparation part.This comprises calculating of measurement impedance from the simplest complex operation and ordinate transform computing to the distance protection of complexity etc.These computings have two features, and one is use in a large number in different emulation occasions, and another feature is that computation process is comparatively complicated.If the place that each needs of such calculating are used defines one time, then there will be and much re-define, add definition workload.In addition because it is comparatively complicated, if directly defined in expert knowledge library, then whole expert knowledge library can be made succinct not directly perceived, add maintenance difficulties.For this reason, in the present embodiment, these computing functions are defined in a public calculating preparation in advance, operationally directly call operation by expert knowledge library, thus simplify definition procedure.
In sum, in electric secondary device simulation of the present invention, the construction method of versatile customization platform is by peeling off expert knowledge library by data encasement and calculating set-up procedure, allows expert knowledge library be absorbed in building of Expert Rules.By the secondary development environment that versatile customization platform provides, the stable of support platform can be kept while service logic is constantly expanded, thus the logical simulation that can realize different manufacturers device model different device type, and efficient, general, flexibly and easily back-up environment can be had for the establishment of knowledge base and operation provide, the details characteristic of each platform of bottom need not be considered, simplify the logic build process of whole emulation.
Although the present invention with preferred embodiment disclose as above, so itself and be not used to limit the present invention.Persond having ordinary knowledge in the technical field of the present invention, without departing from the spirit and scope of the present invention, when being used for a variety of modifications and variations.Therefore, protection scope of the present invention is when being as the criterion depending on those as defined in claim.
Claims (8)
1. the construction method of versatile customization platform in electric secondary device simulation, is characterized in that, comprise the following steps: build data preparation module, its from a database acquisition number according to this for building preparation data for expert knowledge library, build complicated calculations preparation module, build preparation computing formula with what think expert knowledge library, and the computing formula that the data utilizing data preparation module to provide and complicated calculations preparation module provide builds object level experts database and table level experts database, wherein, object level experts database and table level experts database comprise many Expert Rules with same composition structure, the Rule of judgment used in object level expert knowledge library and action formula are for the record object in database, the Rule of judgment used in table level expert knowledge library and action formula are the logical definitions for the Attribute domain of secondary device table in database, the composition structure of aforementioned expert knowledge library comprises logical collection table, factor table, condition table and action schedule, wherein: logical collection table is the action scope of an Expert Rules, this action scope defines the scope of the factor, factor table is positioned at the lower floor of logical collection table, sets up the factor having Expert Rules, the current record object of Factor Source in data encasement, and specify the database association relation of each factor in factor table, set up the condition formula having Expert Rules in condition table, the variable in condition formula defined by the factor in factor table, action schedule is positioned at the lower floor of condition table, and it is set up has the action object of Expert Rules or variable and according to the factor determination action formula in factor table and operation condition, action object or variable derive from the current record object in data encasement.
2. construction method according to claim 1, is characterized in that, in aforementioned expert knowledge library, secondary device table comprises protective device table, measure and control device table, testing tool table, equipment wire list and automatic equipment table.
3. construction method according to claim 1, it is characterized in that, aforementioned complicated calculations preparation module comprises function library, this function library has multiple function formula and input/output argument table thereof, and aforementioned activities table calls corresponding function formula to realize the amendment to record object attribute values by a function name.
4. construction method according to claim 3, is characterized in that, when aforementioned action schedule calls a function formula, aforementioned activities object modification is function name, and action formula is revised as the transmitter of the input/output argument of function formula.
5. construction method according to claim 1, it is characterized in that, when building expert knowledge library, the general character condition of performance logic general character being placed in aforementioned condition table, the individual character condition of track record object individual character being placed on the operation condition of the action schedule being arranged in condition table lower floor.
6. construction method according to claim 1, is characterized in that, aforementioned data preparation module obtains data by a general-purpose interface from one or more databases, and provides Data Source for the action object in the Summing Factor action schedule in aforementioned factors table.
7. construction method according to claim 1, it is characterized in that, aforementioned data preparation module obtains data by general-purpose interface from the database of basic platform, and this basic platform comprises database, communication module and picture module, and in order to provide the base layer support of versatile customization platform.
8. construction method according to claim 1, it is characterized in that, when building object level experts database and table level experts database, comprising the following steps: build needs according to the knowledge of expert and expert knowledge library, determining that an Expert Rules puts into object level experts database or table level experts database; Set up the logical collection table of Expert Rules, factor table, condition table and action schedule.
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