CN103761304A - Method for establishing knowledge base and method and device for evaluating piping layout - Google Patents
Method for establishing knowledge base and method and device for evaluating piping layout Download PDFInfo
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Abstract
The invention provides a method for establishing a knowledge base and a method and device for evaluating a piping layout. The method for establishing the knowledge base comprises the steps of acquiring engineering constraints in a piping layout engineering standard, signifying the engineering constraints to knowledge data in computer language by using an order predicate logic method, and establishing the knowledge base applied to the piping layout based on the knowledge data. The method for evaluating the piping layout comprises the steps of acquiring the data of pipelines to be evaluated, choosing the knowledge data used for evaluation from the knowledge base, leading the chosen knowledge data and the data of the pipelines to be evaluated into an inference engine, enabling the inference engine to use the chosen knowledge data as the rule to conduct logical inference on the data of the pipelines to be evaluated, and obtaining the evaluation result of the pipelines to be evaluated. According to the method for establishing the knowledge base and the method and device for evaluating the piping layout, knowledge modeling is conducted on the engineering constraints in the piping layout engineering standard, automatic evaluation of the piping layout is achieved, designers can modify and optimize the piping layout design according to the evaluation result, and working quality is greatly improved.
Description
Technical field
The present invention relates to the construction method in the evaluation field, particularly a kind of knowledge base of pipe-line layout's design, evaluation method and the device of pipe-line layout.
Background technology
Pipeline is all widely used in the Complex Mechatronic Products such as Aeronautics and Astronautics, automobile, boats and ships, and it,, mainly as the transport agent of the liquid such as fuel, liquid coolant, lubricating fluid and hydrostatic transmission or gas, has material impact to the reliability of product.Through investigation, find, nearly 50% aircraft engine flame-out in flight accident causes because pipeline goes wrong.
The rational deployment of pipeline and optimization are the prerequisites that ensures its reliability.Pipe-line layout's design is in fact the optimum path search problem in three dimensions; the geometrical constraint such as it is not only subject to electronic product complex structure, parts are various, integration is high and inner feas ible space is little, also will consider the Engineering constraints such as the leakage protection of layout order, manufacturability, assembling capacity, maintenanceability and medium of pipeline and thermal deformation.
First traditional pipe-line layout's design relies on CAD software (as UG, PRO/E, Solidworks) to carry out modeling to pipeline, and checking on complete design on model machine in kind afterwards, constantly optimizes pipe-line layout's scheme.Although engineers can go out by these CAD software development the 3D model of pipe-line layout, the model of pipeline has only given expression to catheter position and the guide-tube structure in pipeline, and engineers cannot be determined pipeline and whether meet Engineering constraint from model.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of construction method of knowledge base, evaluation method and the device of pipe-line layout, can realize the automatic Evaluation of pipe-line layout.
For solving the problems of the technologies described above, embodiments of the invention provide a kind of construction method of knowledge base, comprising:
Obtain the Engineering constraint in pipe-line layout's engineering specification;
Engineering constraint is expressed as to the knowledge data of computerese with first-order predicate logic method;
Based on knowledge data, build the knowledge base that is applied to pipe-line layout.
Preferably, the knowledge data that Engineering constraint is expressed as to computerese with first-order predicate logic method comprises:
Determine the relation between constraint object, constraint object attribute and the constraint object in Engineering constraint;
Represent each constraint object with the formal predicate symbol of predefine;
For each predicate symbol assignment, with correspondence, represent constraint object attribute;
With with constraint object between the relation logic with same meaning connect the corresponding connection of word each predicate symbol, thereby obtain the knowledge data of computerese.
Preferably, described Engineering constraint comprises:
Manufacturing constraints, does not exceed actual working ability for the conduit that retrains pipeline;
Dismantled and assembled constraint, can assemble and dismantle for about beam guide tube;
Dynamic Constraints, for the freedom from vibration of about beam guide tube; Statics constraint, for the intensity of about beam guide tube;
Support constraint, the fixed support point that need to arrange for about beam guide tube;
Simplify constraint, for bending quantity and the annex quantity of about beam guide tube;
The aesthstic constraint of engineering, for the aesthetic property of confinement tube line structure.
In addition, the present invention also provides a kind of evaluation method of pipe-line layout, comprising:
Obtain the data of pipeline to be evaluated;
From knowledge base, pick out and evaluate knowledge data used; Wherein, described knowledge data is to become computerese to obtain the Engineering Constraints In Cad Systems in pipe-line layout's engineering specification by first-order predicate logic method;
By the data importing of the knowledge data of picking out and pipeline to be evaluated to inference machine, thereby make described inference machine as rule, to the data of pipeline to be evaluated, to carry out reasoning from logic take the knowledge data picked out, obtain the evaluation result of described pipeline to be evaluated.
Preferably, the data of described pipeline to be evaluated are the parameter information of each conduit in pipeline to be evaluated; Described inference machine can, take the knowledge data picked out as the parameter information of the each conduit of rule to pipeline to be evaluated carries out reasoning from logic, obtain the evaluation result of each catheter needle to each knowledge data of picking out.
Preferably, the evaluation result of the each conduit of described pipeline to be evaluated is specially evaluation score; Described evaluation method also comprises:
According to formula
calculate the comprehensive evaluation result of the each latus rectum of pipeline to be evaluated; Wherein, the comprehensive evaluation result that Score is conduit; W
iit is the weighted value of i the corresponding priority of knowledge data; R
ifor the evaluation score of corresponding i the knowledge data of conduit; T
ifor the desirable mark of corresponding i the knowledge data of conduit; N is the quantity of knowledge data;
Determine the evaluation result of each latus rectum in pipeline to be evaluated; Wherein, the evaluation result of latus rectum is to weigh and obtain according to the comprehensive evaluation result of each conduit in latus rectum.
Preferably, the data of described pipeline to be evaluated comprise: the parameter information of each conduit in pipeline to be evaluated, and parameter information comprises: geological information, annex link information, material information, circulation medium information and the function information of conduit;
The step of obtaining the data of pipeline to be evaluated comprises:
From the cad model of pipeline to be evaluated, obtain the geological information of the each conduit of pipeline to be evaluated;
By user's Data Enter, obtain annex link information, material information, circulation medium information and the function information of the each conduit of pipeline to be evaluated.
Preferably, described evaluation method also comprises:
Each catheter needle is fed back to the cad model of described pipeline to be evaluated to the evaluation result of each knowledge data of picking out, thus the reason that this cad model can be oriented do not meet the conduit of Engineering constraint and do not meet Engineering constraint
In addition, embodiments of the invention also provide a kind of construction device of knowledge base, comprising:
The first acquisition module, for obtaining the Engineering constraint of pipe-line layout's engineering specification;
Logical transition module, for being expressed as Engineering constraint the knowledge data of computerese with first-order predicate logic method;
Build module, based on knowledge data, build the knowledge base that is applied to pipe-line layout.
Preferably, described logical transition module comprises:
First determines submodule, for the relation between constraint object, constraint object attribute and the constraint object of definite Engineering constraint;
Represent submodule, for representing each constraint object with the formal predicate symbol of predefine;
Assignment submodule, is used to each predicate symbol assignment, with correspondence, represents constraint object attribute;
Logic connexon module, for using the relation between constraint object to have the each predicate symbol of the logic connection corresponding connection of word of same meaning, thereby obtains the knowledge data of computerese.
In addition, embodiments of the invention also provide a kind of evaluating apparatus of pipe-line layout, comprising:
The second acquisition module, for obtaining the data of pipeline to be evaluated;
Custom block, evaluates knowledge data used for picking out from knowledge base; Wherein, described knowledge data is to become computerese to obtain the Engineering Constraints In Cad Systems in pipe-line layout's engineering specification by first-order predicate logic method;
Import module, be used for the data importing of the knowledge data of picking out and pipeline to be evaluated to inference machine, thereby make described inference machine as rule, to the data of pipeline to be evaluated, to carry out reasoning from logic take the knowledge data of picking out, obtain the evaluation result of described pipeline to be evaluated.
Preferably, the data of described pipeline to be evaluated are the parameter information of each conduit in pipeline to be evaluated; Described inference machine can, take the knowledge data picked out as the parameter information of the each conduit of rule to pipeline to be evaluated carries out reasoning from logic, obtain the evaluation result of the each catheter needle of described pipeline to be evaluated to each knowledge data of picking out.
Preferably, the evaluation result of the each conduit of described pipeline to be evaluated is specially evaluation score; Described evaluating apparatus also comprises:
Calculating sub module, for according to formula
calculate the comprehensive evaluation result of the each latus rectum of pipeline to be evaluated; Wherein, the comprehensive evaluation result that Score is conduit; W
iit is the weighted value of i the corresponding priority of knowledge data; R
ifor the evaluation score of corresponding i the knowledge data of conduit; T
ifor the desirable mark of corresponding i the knowledge data of conduit; N is the quantity of knowledge data;
Second determines submodule, for determining the evaluation result of the each latus rectum of pipeline to be evaluated; Wherein, the evaluation result of latus rectum is to weigh and obtain according to the comprehensive evaluation result of each conduit in latus rectum.
Preferably, the data of described pipeline to be evaluated comprise: the parameter information of each conduit in pipeline to be evaluated, and parameter information comprises: geological information, annex link information, material information, circulation medium information and the function information of conduit;
Described the second acquisition module comprises:
First obtains submodule, for obtain the geological information of the each conduit of pipeline to be evaluated from the cad model of pipeline to be evaluated;
Second obtains submodule, for obtain annex link information, material information, circulation medium information and the function information of the each conduit of pipeline to be evaluated by user's Data Enter.
Preferably, described evaluating apparatus also comprises:
Derive module, for each catheter needle is fed back to the cad model of described pipeline to be evaluated to the evaluation result of each knowledge data of picking out, thus the reason that this cad model can be oriented do not meet the conduit of Engineering constraint and do not meet Engineering constraint.
The beneficial effect of technique scheme of the present invention is as follows:
The present invention has carried out knowledge Modeling to the Engineering constraint in pipe-line layout's engineering specification, has set up the knowledge base with pipeline appraisement system.Utilize afterwards knowledge in knowledge base data to carry out automatic Evaluation to pipe-line layout, designer can be modified to pipe-line layout's design result in time, thereby improved efficiency and the quality of pipe-line layout's design.
Accompanying drawing explanation
Fig. 1 is the step schematic diagram of the construction method of knowledge base of the present invention;
Fig. 2 is the step schematic diagram of the evaluation method of pipe-line layout of the present invention;
Fig. 3 is the step schematic diagram of evaluation method application circuit design of the present invention;
Fig. 4 is the structural representation of data file of the present invention;
Fig. 5 is the interface schematic diagram of evaluation system in the embodiment of the present invention;
Fig. 6 is the structural representation of the construction device of knowledge base of the present invention;
Fig. 7 is the structural representation of the evaluating apparatus of pipe-line layout of the present invention.
Embodiment
For making the technical problem to be solved in the present invention, technical scheme and advantage clearer, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
As shown in Figure 1, a kind of construction method of knowledge base, comprising:
Step 11, obtains the Engineering constraint in pipe-line layout's engineering specification;
Particularly, in step 11, Engineering constraint can get from circuit design handbook, can be also stringing expert's experimental knowledge to be carried out to reductive analysis put into.
Step 12, is expressed as Engineering constraint the knowledge data of computerese with first-order predicate logic method;
Above-mentioned first-order predicate logic method is logistic basic methods, is applied to inference computer field, is the most accurate formal language of one that up to the present can express human thinking and reasoning.Its manifestation mode and Human Natural Language are very approaching, and cardinal principle is attribute and the relation thereof of removing abstract concrete things with a set of symbol of expressing the meaning, and the sentence of a natural language is expressed by computer symbols.
Step 13, builds the knowledge base that is applied to pipe-line layout based on knowledge data.
Known to step 13 by step 11, the present invention can become the Engineering Constraints In Cad Systems of pipe-line layout the knowledge data of computerese, can directly be used by inference machine.By to the accumulation of knowledge data magnanimity, be built into knowledge base, for subsequent calculations machine provides Data support and evaluation criterion to the evaluation of pipe-line layout's model.
Certainly, first-order predicate logic method is the most basic a kind of guiding theory, and how in reality, is applied on Engineering constraint, is the difficult point of this programme.For this reason, the invention provides a kind of concrete grammar that Engineering constraint is expressed as to computerese with first-order predicate logic method, step 12 comprises:
Step 121, determines the relation between constraint object, constraint object attribute and the constraint object in Engineering constraint;
Step 122, represents each constraint object with the formal predicate symbol of predefine;
Step 123, for predicate symbol assignment corresponding to each constraint object, to represent constraint object attribute;
Step 124, uses the relation between constraint object to have the each predicate symbol of the logic connection corresponding connection of word of same meaning, thereby obtains the knowledge data of computerese.
Below in conjunction with specific embodiment, step 121 to step 124 is elaborated.
A certain conduit ID identification number supposing to complete topological design in Three-dimensional CAD Software is 101, external diameter is 55mm, and bending radius is 100cm, and connecing mouth place straight section length is 25cm, bending angle (conduit and the angle of crossing crook extended line) is 105 degree, and between two curved segments, length of straight pipe is 30cm.Suppose pipe design handbook regulation " guiding-tube bend radius should be more than or equal to 2 times of conduit external diameter conventionally " simultaneously.The step that foregoing is expressed with first-order predicate logic method is so as follows:
1). first determine constraint object, and for constraint object definition predicate symbol, with the symbol of computerese, represent constraint object.In concrete enforcement, corresponding which constraint object of predicate symbol pre-sets, and the involved predicate symbol collection of foregoing is as shown in the table:
| Constraint object | Predicate symbol |
| Conduit | pipe(P) |
| Guiding-tube bend radius | bend_radius(P,R) |
| Conduit external diameter | diameter(D) |
| Lead pipe nipple place straight section length | end_length(P,L) |
| Conduit bending angle | bend_angle(P,B) |
| Length of straight pipe between two curved segments | mid_length(P,L) |
2). be predicate symbol assignment corresponding to constraint object, represent constraint object attribute;
For example foregoing " a certain conduit ID identification number is 101; external diameter is 55mm, and bending radius is 100cm, and connecing mouth place straight section length is 25cm ", " 101 ", " 55 " wherein, " 100 ", " 25 " are the object that needs assignment, and the constraint object after its concrete assignment is as follows:
Pipe (101), represents that the ID of conduit pipe is 101, and " 101 " are wherein the constraint object attribute of conduit;
Diameter (55), represents that conduit external diameter is 55mm, and wherein " 55 " represent the constraint object attribute of conduit external diameter;
Bend_radius (101,100), represents that guiding-tube bend radius is 100cm, and its conduit ID is 101;
Wherein " 101 " and " 100 " represent the constraint object attribute of guiding-tube bend radius;
End_length (101,25), represents that leading pipe nipple place straight section length is 25cm, and its conduit ID is 101; Wherein " 101 " and " 25 " represent the constraint object attribute of leading pipe nipple place straight section length.
3). use the relation between constraint object to there is the each predicate symbol of the logic connection corresponding connection of word of same meaning, thereby obtain the knowledge data of computerese.It is math basic knowledge that logic connects word, can be identified by computing machine, and for example " ∈ " in " set A ∈ set B ", represents the implication belonging to.It is as shown in the table that the common logic of part connects word:
Wherein, by logic, connecting word couples together single predicate symbol just can form a predicate formula the most basic.Predicate formula is computerese, and it not only can express the declarative knowledges such as state, attribute and the character of things, can also express the causality knowledge of relation between things.For example " guiding-tube bend radius should be more than or equal to 2 times of conduit external diameter ", the predicate formula being expressed as is: ← R≤2*D ∧ bend_radius (P, R) ∧ diameter (P, D) ∧ pipe (P).Wherein, " ← " represent can not, the identification number that " P " is conduit, plays general reference effect, represents that this content is applicable to all conduits; " R " is that radius, " D " are diameter; Bend_radius (P, R) limits " R " and represents guiding-tube bend radius; It is conduit external diameter that diameter (P, D) limits " D ".
It should be noted that, an Engineering constraint can be by a variety of expression waies, and for example " guiding-tube bend radius should be more than or equal to 2 times of conduit external diameter conventionally " can also be expressed as " $ bend_radius $-2* $ diameter $ >=0 ".In addition, in an Engineering constraint, also may only there is a constraint object, similar this only have one constraint corresponding Engineering constraint in transfer process, do not need to use logic connect word.
According to above-described embodiment, can find out, constraint object in Engineering constraint corresponding predicate fix, and constraint object attribute is a kind of variable, therefore after construction of knowledge base completes, if wanted, a certain knowledge data is updated, only need to exchange integer variable or replace solid amount, for example will " guiding-tube bend radius should be more than or equal to 2 times of conduit external diameter " be compiled as " guiding-tube bend radius should be more than or equal to 3 times of conduit external diameter ", and directly variable " 2 " will be adjusted into " 3 " and can complete editor.
Below the knowledge Modeling of knowledge base is introduced, step 13 can comprise:
Steps A 1: creation of knowledge storehouse;
Steps A 2: do not repeat to choose object knowledge data from all knowledge datas;
Steps A 3: judge whether object knowledge data conflict with the knowledge data in knowledge base; To carry out steps A 4; No, carry out steps A 5;
Steps A 4: ignore object knowledge data, and get back to steps A 2;
Steps A 5: object knowledge data are added into knowledge base;
Steps A 6: judge whether all knowledge datas are all selected as object knowledge data; To finish; No, get back to steps A 2.
By above-mentioned steps A1, to steps A 6, can be found out, the present embodiment method has guaranteed the conflict that can not retrain between the knowledge data in knowledge base, and this provides stable Data support for follow-up pipeline evaluation.
Particularly, Engineering constraint can be divided into mandatory Engineering constraint and non-imposed Engineering constraint;
Mandatory Engineering constraint comprises:
Manufacturing constraints, does not exceed actual working ability for the conduit that retrains pipeline; The existing CNC tube bending machine of conduit possibility of for example some special construction cannot be processed and obtain (this conduit just should go to avoid when design) as far as possible;
Dismantled and assembled constraint, can assemble and dismantle for about beam guide tube; Preferably, require the design of conduit to answer convenient dismounting; The conduit that for example dismounting frequency is large answers layout at skin, and the little conductor topology of dismounting frequency, at nexine, simultaneously when conduit is when running into annex, should be walked around annex vertically or circumferentially, can not radially cross annex;
Dynamic Constraints, for the freedom from vibration of about beam guide tube; The for example conduit on engine must sustain the vibration that transmitter produces; Need particularly according to formula 1.25f
max≤ f
n≤ 0.8f
idlcarry out the constraint of the conduit natural frequency of vibration; Wherein f
maxfor the maximum (top) speed of engine, f
idlfor the slow train rotating speed of engine, f
nfor the conduit natural frequency of vibration;
Statics constraint, for the intensity of about beam guide tube; Require the design of conduit can sustain burst pressure and thermal stress;
Non-imposed Engineering constraint comprises:
Support constraint, the fixed support point that need to arrange for about beam guide tube;
Simplify constraint, for bending quantity and the annex quantity of about beam guide tube; Be the quantity that the design of conduit should reduce bending and carry annex as far as possible;
The aesthstic constraint of engineering, for the aesthetic property of confinement tube line structure; The design of for example pipeline should be tried one's best compact.
Wherein, mandatory Engineering constraint must be observed layout of beam line, for the success or not of circuit design, plays conclusive effect.Although non-imposed Engineering constraint not necessarily must be kept watch, do not representing that this class Engineering constraint is inessential, for example, as simplifying constraint, can consider the Cost Problems of circuit design.
Obviously, mandatory Engineering constraint must will be observed in circuit design, so in follow-up pipeline evaluation procedure, it evaluates shared weight and should be greater than the weight of non-imposed Engineering constraint.For this reason can also be on the basis of above-described embodiment, for knowledge data is given different priority, in follow-up pipeline evaluation, according to the priority of knowledge data, determine the evaluation weight pre-setting, thereby according to weight, pipeline is carried out to reasonably comprehensive evaluation.For example, steps A 5 can comprise:
Steps A 51, judges the Engineering constraint that object knowledge data are corresponding;
Steps A 52, when object knowledge data correspond to mandatory Engineering constraint, for these object knowledge data are given the first priority, and is added into knowledge base;
Steps A 53, when object knowledge data correspond to non-imposed Engineering constraint, for these object knowledge data are given the second priority, and is added into knowledge base.
It should be noted that, according to mandatory Engineering constraint and non-imposed Engineering constraint, carrying out prioritization is a kind of exemplary mode, is not the unique and necessary step of the present invention.
Certainly, in actual applications, knowledge base of the present invention can see that making is a memory storage that stores knowledge data.This memory storage can be realized management by software, can to the knowledge data of storage, edit by form of software operating system, as deleted, add (steps A 1-A6), modification etc.In addition, can also plan the knowledge data in knowledge base, in operating system, produce the index list of knowledge data, be conducive to like this knowledge data to be located fast.
In addition, as shown in Figure 2, embodiments of the invention also provide a kind of evaluation method of pipe-line layout, comprising:
Evaluation method of the present invention can be picked out according to evaluation requirements the rule of knowledge data as inference machine from knowledge base, and the fact using the data of pipeline to be evaluated as inference machine, by inference machine, complete rule to true reasoning from logic, and then can obtain the evaluation result of pipeline to be evaluated.Because this inference machine rule essence is the Engineering constraint in pipe-line layout's engineering specification, therefore its evaluation result has played directive function to the Design and optimization of pipeline.
Particularly, in the above embodiment of the present invention, the data of described pipeline to be evaluated are the parameter information of each conduit in pipeline to be evaluated; Described inference machine can, take the knowledge data picked out as the parameter information of the each conduit of rule to pipeline to be evaluated carries out reasoning from logic, obtain the evaluation result of each catheter needle to each knowledge data of picking out.
Need to be described, pipeline is comprised of several latus rectums, and further, each latus rectum includes several conduits.A latus rectum is realized corresponding function by several conduits.So, in actual evaluation procedure, obtaining after the evaluation result of each conduit, also can further determine the result of latus rectum.Be that evaluation method of the present invention also comprises:
Step 24, according to formula
calculate the comprehensive evaluation result of the each latus rectum of pipeline to be evaluated; Wherein, the comprehensive evaluation result that Score is conduit; W
iit is the weighted value of i the corresponding priority of knowledge data; R
ifor the evaluation score of corresponding i the knowledge data of conduit; T
ifor the desirable mark of corresponding i the knowledge data of conduit; N is the quantity of knowledge data; Wherein, corresponding the first priority and the second priority corresponding to non-imposed Engineering constraint of mandatory Engineering constraint that the corresponding priority of knowledge data above mentioned, the division methods of certain priority has a variety of, might not be the first priority and second priority of the present embodiment.
Step 25, determines the evaluation result of each latus rectum in pipeline to be evaluated; Wherein, the evaluation result of latus rectum is to weigh and obtain according to the comprehensive evaluation result of each conduit in latus rectum.
Certainly, when specifically conduit being evaluated, the parameter information of the conduit that need to be applied to can comprise: geological information, annex link information, material information, circulation medium information and the function information of conduit; Wherein, the geological information of conduit mainly comprises coordinate, curved segment and reference mark, straight section junction coordinate, conduit external diameter, conduit wall thickness, guiding-tube bend radius, elbow quantity of conduit starting point etc., and inference machine can specifically be determined the structure of conduit by geological information.Tube material information spinner will comprise the strength of materials limit, maximum allowable pressure equivalence, and inference machine can further be determined by material information and geological information the intensity of conduit; The purposes of function information essential record conduit, the conduit of for example high-temperature use, inference machine is determined the knowledge data of understanding on the thermal stress Engineering constraint that application standard is higher after high temperature conduit it is carried out to reasoning; Circulation medium information spinner will comprise velocity of medium, working temperature, Media density etc., can help inference machine to determine the burst pressure of conduit and thermal stress etc.Annex link information mainly comprises the annex quantity of conduit, and web member etc. support the reasoning of the aspects such as constraint, simplification constraint for inference machine.Geological information can get from the cad model of pipeline, can resolve the cad data in cad model by software particularly; But these information such as annex link information, material information, circulation medium information and function information cannot obtain in cad model, allly need to carry out input information by operating personnel.Be that above-mentioned steps 21 comprises:
Step 211 is obtained the geological information of the each conduit of pipeline to be evaluated from the cad model of pipeline to be evaluated;
Step 212, obtains annex link information, material information, circulation medium information and the function information of the each conduit of pipeline to be evaluated by user's Data Enter.
In addition, the conduit going wrong in order to allow more intuitively user find can highlight the conduit that does not meet Engineering constraint in cad model, is beneficial to user and directly from cad model, sees intuitively the defect of pipeline, and directly revise cad model.Be that evaluation method of the present invention also comprises:
Step 26, feeds back to each catheter needle the cad model of described pipeline to be evaluated to the evaluation result of each knowledge data of picking out, thus the reason that this cad model can be oriented do not meet the conduit of Engineering constraint and do not meet Engineering constraint.
In the specific implementation process of step 26, catheter needle can represent to the corresponding assessment result of knowledge data whether conduit meets corresponding Engineering constraint.As preferred version, can corresponding color be set according to the different evaluation result of conduit, thereby make cad model show each conduit according to color corresponding to evaluation result, for example, the conduit that meets Engineering constraint is filled with green, and the conduit that does not meet Engineering constraint is filled with redness.Further, cad model correspondence demonstrates the reason that does not meet Engineering constraint.
Design process below in conjunction with a pipeline describes in detail to appraisal procedure of the present invention.
As shown in Figure 3, suppose that evaluation method of the present invention can be realized by an evaluation system, the design process of a pipeline can comprise the steps:
Step S1, user carries out the first CAD modeling of circuit design; Particularly, user utilizes design platform (as SolidWorks, UG) to make the cad model of pipeline;
Step S2, user is selected and is evaluated required knowledge data by evaluation system, and according to evaluation requirement, the knowledge data of selecting is carried out to personalization compiling; In step S2, at the beginning of user's design is depended in the selection of knowledge data, for example, while designing a high temperature conduit, user can transfer the Engineering constraint for high temperature conduit in knowledge base based on evaluation system; Certainly, user can also compile knowledge base based on evaluation system, as designs some special pipelines, and the requirement of possible Engineering constraint is higher, need to update original knowledge base;
Step S3, user transfers the cad data of pipeline by evaluation system; Be the data that evaluation system passes through cad model in an introducting interface obtaining step S1; What need to be described is, the cad data of possible some software of inference machine None-identified, therefore preferably, introducting interface has corresponding transformation function, utilize first-order predicate logic method mentioned above that cad data is re-started to expression, it is no longer repeated for its concrete grammar;
Step S4, evaluation system obtains the geological information of conduit from cad data;
Step S5, user is to annex link information, material information, circulation medium information and the function information of the conduit of evaluation system input; It should be noted that, the information of inputting in step S5 depends on user's the design original intention to conduit;
Step S6, evaluation system is made the data file of pipeline; Particularly, data file preferably adopts the tree structure shown in Fig. 4, and data file trunk is corresponding one by one with the latus rectum of pipeline; Limb under a trunk is corresponding one by one with the conduit of this latus rectum, and limb is preserved the parameter information of corresponding conduit;
Step S7, evaluation system is directed into inference machine by the knowledge data of selecting and data file;
Step S8, reasoning is carried out reasoning according to the knowledge data of selecting to data file, obtains the evaluation result of conduit, in step S8, inference machine is the data file shown in traversing graph 4 in order, can complete one by one the reasoning from logic of conduit, wherein, after completing the reasoning of all conduits under a latus rectum, just generate an evaluation file that this latus rectum is corresponding, the evaluation result for each knowledge data of its conduit is saved to evaluation file, it should be noted that, inference machine is prior art, therefore no longer its principle of work is repeated herein, as preferred version, inference machine can adopt non-monotonic reasoning mechanism, cite a plain example to illustrate the feature of non-monotonic reasoning below, as the requirement in order to meet shock resistance, user has designed a conduit with a lot of Holder Fasteners, when knowledge data corresponding to inference machine application simplification constraint carried out reasoning, evaluate out very low goals for to this conduit, when carrying out reasoning, applied dynamics constraint afterwards finds that supravasal Holder Fasteners quantity is rational (mentioning hereinbefore Dynamic Constraints is that conduit must be observed), now reasoning meeting adaptability correction conduit is in the scoring of simplifying in constraint, the Holder Fasteners that represents conduit is not deposited problem in design.It should be noted that, the non-monotonic reasoning mechanism on inference machine is very ripe at present, does not therefore no longer too much repeat herein.
Below the evaluation criterion of conduit is introduced:
Exemplarily, the evaluation criterion that user can personal settings reasoning, as set 4 opinion ratings: A, B to non-imposed Engineering constraint, C, D, N, the corresponding mark of each grade, what grade A was corresponding is desirable score, i.e. top score, and grade N represents defective; For instance, the Engineering constraint of knowledge data 1 correspondence is for judging guiding-tube bend angle, and it is A(score 100 that user's setting is less than 30 degree), 30 degree are that B(must be divided into 70 to 60 degree), 60 degree are that C(must be divided into 50 to 90 degree), being greater than 90 degree is that N(must be divided into 0).If the actual flexion angle of conduit is 45 degree, in 1 time corresponding grade of rule, be B, must be divided into 70; For enforceable Engineering constraint, two opinion rating: Y are set, N, grade represents qualified, it must be divided into 100; Grade N is defective, and it is 0 to reserved portion;
Step S9, inference machine is exported the evaluation result of each conduit to evaluation system,, after the reasoning that completes all conduits, evaluation file is issued to evaluation system;
Step S10, evaluation system is determined the evaluation result of latus rectum, and shows the evaluation result of latus rectum and conduit; Particularly, evaluation system can be accessed the evaluation file of each latus rectum one by one, determines the evaluation result of latus rectum according to its preservation evaluation result; Afterwards, as shown in Figure 5, by the page, the evaluation of conduit and latus rectum is shown, Fig. 5 left part is divided into all conduits under a certain latus rectum and evaluates knowledge data list used, lower right-most portion is that under this latus rectum, each catheter needle is marked to knowledge data, the scoring that upper right portion is latus rectum.Certainly, the corresponding knowledge data of marking is introduced and does not directly show in natural language mode, as " test conduit burst pressure " in Fig. 5, " detected catheter overall length " etc.;
Step S11, evaluation system exports to design platform by assessment result and relevant knowledge data;
Step S12, design platform carries out highlighted demonstration to the conduit that does not meet Engineering constraint, and demonstrates the reason that does not meet Engineering constraint, completes the location of pipeline defect.
Step S13, user revises the cad model of pipeline based on design platform;
Afterwards, re-execute step S3 to step S13, until the pipeline of design reaches standard.
In sum, the present invention is based on the expression way of first-order predicate logic method, pipe-line layout's project engineering constraint has been carried out to knowledge Modeling, set up pipeline appraisement system.By the knowledge data in evaluation system capable of dynamic managerial knowledge storehouse, make knowledge base there is sufficient extensibility.Meanwhile, evaluation system carries out reasoning to the pipeline parameter in data file, therefore can be applicable to the design platform of any manufacturer.In addition, evaluation result is imported in the cad model of pipeline, can locate fast the conduit that does not meet Engineering constraint, facilitate user to modify, thereby improve efficiency and the quality of pipe-line layout's design.
In addition, as shown in Figure 6, embodiments of the invention also provide a kind of construction device of knowledge base, comprising:
Acquisition module, for obtaining the Engineering constraint of pipe-line layout's engineering specification;
Logical transition module, for being expressed as Engineering constraint the knowledge data of computerese with first-order predicate logic method;
Build module, based on knowledge data, build the knowledge base that is applied to pipe-line layout.
The construction device of knowledge base of the present invention can become the Engineering Constraints In Cad Systems of pipe-line layout the knowledge data of computerese, by knowledge data magnanimity is accumulated, be built into knowledge base, for subsequent calculations machine provides Data support and evaluation criterion to the evaluation of pipe-line layout's model.
Particularly, in the above embodiment of the present invention, described logical transition module comprises:
First determines submodule, for the relation between constraint object, constraint object attribute and the constraint object of definite Engineering constraint;
Represent submodule, for representing each constraint object with the formal predicate symbol of predefine;
Assignment submodule, is used to each predicate symbol assignment, with correspondence, represents constraint object attribute;
Logic connexon module, for using the relation between constraint object to have the each predicate symbol of the logic connection corresponding connection of word of same meaning, thereby obtains the knowledge data of computerese.
Obviously, the construction device of knowledge base of the present invention is corresponding with the construction method of knowledge base above, and the method can reach technique effect, and construction device of the present invention can reach too.
In addition, as shown in Figure 7, embodiments of the invention also provide a kind of evaluating apparatus of pipe-line layout, comprising:
The second acquisition module, for obtaining the data of pipeline to be evaluated;
Custom block, evaluates knowledge data used for picking out from knowledge base; Wherein, described knowledge data is to become computerese to obtain the Engineering Constraints In Cad Systems in pipe-line layout's engineering specification by first-order predicate logic method;
Import module, be used for the data importing of the knowledge data of picking out and pipeline to be evaluated to inference machine, thereby make described inference machine as rule, to the data of pipeline to be evaluated, to carry out reasoning from logic take the knowledge data of picking out, obtain the evaluation result of described pipeline to be evaluated.
First above-mentioned evaluating apparatus produces the data file of pipeline to be evaluated, according to the Engineering constraint in pipe-line layout's engineering specification, data file is carried out to logic afterwards, thereby obtains the evaluation result of pipeline to be evaluated.The knowledge data used due to reasoning has been converted into computerese, and therefore whole evaluation procedure can complete automatically.As can be seen here, the optimizing phase of evaluation of the present invention after preliminary design phase or the pipeline material object of pipeline can be played directive function.
Particularly, on the above embodiment of the present invention basis, the data of described pipeline to be evaluated are the parameter information of each conduit in pipeline to be evaluated; Described inference machine can, take the knowledge data picked out as the parameter information of the each conduit of rule to pipeline to be evaluated carries out reasoning from logic, obtain the evaluation result of the each catheter needle of described pipeline to be evaluated to each knowledge data of picking out.
Particularly, on the above embodiment of the present invention basis, the evaluation result of the each conduit of described pipeline to be evaluated is specially evaluation score; Described evaluating apparatus also comprises:
Calculating sub module, for according to formula
calculate the comprehensive evaluation result of the each latus rectum of pipeline to be evaluated; Wherein, the comprehensive evaluation result that Score is conduit; W
iit is the weighted value of i the corresponding priority of knowledge data; R
ifor the evaluation score of corresponding i the knowledge data of conduit; T
ifor the desirable mark of corresponding i the knowledge data of conduit; N is the quantity of knowledge data;
Second determines submodule, for determining the evaluation result of the each latus rectum of pipeline to be evaluated; Wherein, the evaluation result of latus rectum is to weigh and obtain according to the comprehensive evaluation result of each conduit in latus rectum.
Particularly, on the above embodiment of the present invention basis, the data of described pipeline to be evaluated comprise: the parameter information of each conduit in pipeline to be evaluated, and parameter information comprises: geological information, annex link information, material information, circulation medium information and the function information of conduit;
Described the second acquisition module comprises:
First obtains submodule, for obtain the geological information of the each conduit of pipeline to be evaluated from the cad model of pipeline to be evaluated;
Second obtains submodule, for obtain annex link information, material information, circulation medium information and the function information of the each conduit of pipeline to be evaluated by user's Data Enter.
Particularly, on the above embodiment of the present invention basis, can also comprise:
Derive module, for each catheter needle is fed back to the cad model of described pipeline to be evaluated to the evaluation result of each knowledge data of picking out, thus the reason that this cad model can be oriented do not meet the conduit of Engineering constraint and do not meet Engineering constraint.
Obviously, evaluating apparatus of the present invention is corresponding with the evaluation method of pipe-line layout above, and the method can reach technique effect, and evaluating apparatus of the present invention can reach too.
It should be noted that, for convenience of description, describing evaluating apparatus provided by the invention and building is all with function, to be divided into various modules to describe respectively.Certainly, when enforcement is of the present invention, the function of each module can be realized in same or multiple software and/or hardware.
The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, do not departing under the prerequisite of principle of the present invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (15)
1. a construction method for knowledge base, is characterized in that, comprising:
Obtain the Engineering constraint in pipe-line layout's engineering specification;
Engineering constraint is expressed as to the knowledge data of computerese with first-order predicate logic method;
Based on knowledge data, build the knowledge base that is applied to pipe-line layout.
2. construction method according to claim 1, is characterized in that, the knowledge data that Engineering constraint is expressed as to computerese with first-order predicate logic method comprises:
Determine the relation between constraint object, constraint object attribute and the constraint object in Engineering constraint;
Represent each constraint object with the formal predicate symbol of predefine;
For each predicate symbol assignment, with correspondence, represent constraint object attribute;
With with constraint object between the relation logic with same meaning connect the corresponding connection of word each predicate symbol, thereby obtain the knowledge data of computerese.
3. construction method according to claim 1, is characterized in that, described Engineering constraint comprises:
Manufacturing constraints, does not exceed actual working ability for the conduit that retrains pipeline;
Dismantled and assembled constraint, can assemble and dismantle for about beam guide tube;
Dynamic Constraints, for the freedom from vibration of about beam guide tube; Statics constraint, for the intensity of about beam guide tube;
Support constraint, the fixed support point that need to arrange for about beam guide tube;
Simplify constraint, for bending quantity and the annex quantity of about beam guide tube;
The aesthstic constraint of engineering, for the aesthetic property of confinement tube line structure.
4. an evaluation method for pipe-line layout, is characterized in that, comprising:
Obtain the data of pipeline to be evaluated;
From knowledge base, pick out and evaluate knowledge data used; Wherein, described knowledge data is to become computerese to obtain the Engineering Constraints In Cad Systems in pipe-line layout's engineering specification by first-order predicate logic method;
By the data importing of the knowledge data of picking out and pipeline to be evaluated to inference machine, thereby make described inference machine as rule, to the data of pipeline to be evaluated, to carry out reasoning from logic take the knowledge data picked out, obtain the evaluation result of described pipeline to be evaluated.
5. evaluation method according to claim 4, is characterized in that, the data of described pipeline to be evaluated are the parameter information of each conduit in pipeline to be evaluated; Described inference machine can, take the knowledge data picked out as the parameter information of the each conduit of rule to pipeline to be evaluated carries out reasoning from logic, obtain the evaluation result of each catheter needle to each knowledge data of picking out.
6. evaluation method according to claim 5, is characterized in that, the evaluation result of the each conduit of described pipeline to be evaluated is specially evaluation score; Described evaluation method also comprises:
According to formula
calculate the comprehensive evaluation result of the each latus rectum of pipeline to be evaluated; Wherein, the comprehensive evaluation result that Score is conduit; W
iit is the weighted value of i the corresponding priority of knowledge data; R
ifor the evaluation score of corresponding i the knowledge data of conduit; T
ifor the desirable mark of corresponding i the knowledge data of conduit; N is the quantity of knowledge data;
Determine the evaluation result of each latus rectum in pipeline to be evaluated; Wherein, the evaluation result of latus rectum is to weigh and obtain according to the comprehensive evaluation result of each conduit in latus rectum.
7. evaluation method according to claim 4, the data of described pipeline to be evaluated comprise: the parameter information of each conduit in pipeline to be evaluated, and parameter information comprises: geological information, annex link information, material information, circulation medium information and the function information of conduit;
The step of obtaining the data of pipeline to be evaluated comprises:
From the cad model of pipeline to be evaluated, obtain the geological information of the each conduit of pipeline to be evaluated;
By user's Data Enter, obtain annex link information, material information, circulation medium information and the function information of the each conduit of pipeline to be evaluated.
8. evaluation method according to claim 7, is characterized in that, comprising:
Each catheter needle is fed back to the cad model of described pipeline to be evaluated to the evaluation result of each knowledge data of picking out, thus the reason that this cad model can be oriented do not meet the conduit of Engineering constraint and do not meet Engineering constraint.
9. a construction device for knowledge base, is characterized in that, comprising:
The first acquisition module, for obtaining the Engineering constraint of pipe-line layout's engineering specification;
Logical transition module, for being expressed as Engineering constraint the knowledge data of computerese with first-order predicate logic method;
Build module, based on knowledge data, build the knowledge base that is applied to pipe-line layout.
10. construction device according to claim 9, is characterized in that, described logical transition module comprises:
First determines submodule, for the relation between constraint object, constraint object attribute and the constraint object of definite Engineering constraint;
Represent submodule, for representing each constraint object with the formal predicate symbol of predefine;
Assignment submodule, is used to each predicate symbol assignment, with correspondence, represents constraint object attribute;
Logic connexon module, for using the relation between constraint object to have the each predicate symbol of the logic connection corresponding connection of word of same meaning, thereby obtains the knowledge data of computerese.
The evaluating apparatus of 11. 1 kinds of pipe-line layouts, is characterized in that, comprising:
The second acquisition module, for obtaining the data of pipeline to be evaluated;
Custom block, evaluates knowledge data used for picking out from knowledge base; Wherein, described knowledge data is to become computerese to obtain the Engineering Constraints In Cad Systems in pipe-line layout's engineering specification by first-order predicate logic method;
Import module, be used for the data importing of the knowledge data of picking out and pipeline to be evaluated to inference machine, thereby make described inference machine as rule, to the data of pipeline to be evaluated, to carry out reasoning from logic take the knowledge data of picking out, obtain the evaluation result of described pipeline to be evaluated.
12. evaluating apparatus according to claim 11, is characterized in that, the data of described pipeline to be evaluated are the parameter information of each conduit in pipeline to be evaluated; Described inference machine can, take the knowledge data picked out as the parameter information of the each conduit of rule to pipeline to be evaluated carries out reasoning from logic, obtain the evaluation result of the each catheter needle of described pipeline to be evaluated to each knowledge data of picking out.
13. evaluating apparatus according to claim 12, is characterized in that, the evaluation result of the each conduit of described pipeline to be evaluated is specially evaluation score; Described evaluating apparatus also comprises:
Calculating sub module, for according to formula
calculate the comprehensive evaluation result of the each latus rectum of pipeline to be evaluated; Wherein, the comprehensive evaluation result that Score is conduit; W
iit is the weighted value of i the corresponding priority of knowledge data; R
ifor the evaluation score of corresponding i the knowledge data of conduit; T
ifor the desirable mark of corresponding i the knowledge data of conduit; N is the quantity of knowledge data;
Second determines submodule, for determining the evaluation result of the each latus rectum of pipeline to be evaluated; Wherein, the evaluation result of latus rectum is to weigh and obtain according to the comprehensive evaluation result of each conduit in latus rectum.
14. evaluating apparatus according to claim 11, it is characterized in that, the data of described pipeline to be evaluated comprise: the parameter information of each conduit in pipeline to be evaluated, and parameter information comprises: geological information, annex link information, material information, circulation medium information and the function information of conduit;
Described the second acquisition module comprises:
First obtains submodule, for obtain the geological information of the each conduit of pipeline to be evaluated from the cad model of pipeline to be evaluated;
Second obtains submodule, for obtain annex link information, material information, circulation medium information and the function information of the each conduit of pipeline to be evaluated by user's Data Enter.
15. evaluating apparatus according to claim 12, is characterized in that, also comprise:
Derive module, for each catheter needle is fed back to the cad model of described pipeline to be evaluated to the evaluation result of each knowledge data of picking out, thus the reason that this cad model can be oriented do not meet the conduit of Engineering constraint and do not meet Engineering constraint.
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| CN111666637A (en) * | 2020-06-29 | 2020-09-15 | 江苏科技大学 | Knowledge-based ship pipeline layout optimization design method |
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