CN102799738A - Situation-based behavior stream modeling method - Google Patents
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Abstract
The invention provides a situation-based behavior stream modeling method. Starting from the behavior prospective of product design, the concept of behavior stream is provided, the design mode of the situation behavior stream in a situation state design space is provided based on the dynamic variation situation in the concept design process, a situation semantic network model is established, and the behavior-structure coupling problem is creatively solved.
Description
Technical field
The present invention relates to the modeling method in product design field, particularly relate to a kind of behavior stream modeling method based on situation.
Background technology
Conceptual phase is the stage that best embodies Human Creativity in the new product development process, and it is the prerequisite of detailed design, the core link of product development innovation, and this stage has determined the novelty and the market competitiveness of product to a great extent.But because abstractness, complicacy, immeasurability that conceptual design had; With and related knowledge coarse often, incomplete, also can't have effective computer-implemented method and instrument supplies the deviser to use at present as other stages such as detailed design, the production schedules.From the present situation of at present domestic and international computer-assisted conception design studies, the generation of conceptual design scheme is based on function basically---the search matching method of structure.
So, the non-dynamic of function modeling is mainly adopted in current conceptual design, and relies on designer's subjective experience; Drawback with lack of wisdom property simultaneously in the conceptual design, is not that all demand is just clear and definite at the beginning of design objective; And with the observation experiment is in the design process of foundation, and the world is not unalterable, static, so we need a kind of behavior stream modeling method based on situation; To solve the disadvantages of prior art, real is problem anxious to be solved at present.
Summary of the invention
The shortcoming of prior art the object of the present invention is to provide a kind of more intelligentized behavior stream modeling method based on situation, to avoid the interference of designer's subjective experience in view of the above.
Be to realize above-mentioned purpose and other relevant purposes, the present invention provides a kind of behavior stream modeling method based on situation, and it comprises: 1) three hierarchical spaces based on behavior stream make up the situation knowledge, with situation knowledge as the input reference; 2) set up the situation index of behavior and structure, and situation knowledge is organized, make up the situation semantic network according to index; 3) separate structure behavior stream sequence according to function mapping generation behavior; 4) with of the driving input of behavior stream as the situation semantic network; According to the situation attribute of each behavior element in the behavior stream, in the subspace of corresponding situation knowledge,, separate if can not find the structure that meets the behavior according to the optimum coupling of searching algorithm search fitness value; Then return a step 3) and rebuild behavior stream sequence; If find the structure that meets the behavior to separate, promptly realize a sub-function, then proceed to next step 5); Whether all subfunctions of and 5) judging gained satisfy all requirements, if not, then drive its situation conversion with behavior stream; And be transformed into next sight, and proceed to the new behavior stream sequence of step 3) structure, if; Then obtain final mapping result, the realization behavior is to the coupling of structure.
In the behavior stream modeling method based on situation of the present invention, above-mentioned three hierarchical spaces are respectively logical level space, cognitive hierarchical space and concrete behavior hierarchical space.This situation knowledge comprises constructive memory and case scenarios.
As stated; The notion that proposes the situation design space based on the behavior stream modeling method of situation of the present invention; Realized being placed on the various key elements such as environment of product, deviser, user and design process in the situation space and analyzed; Design considerations is embodied in product and deviser and environment mutual, makes situation through whole functional-behavior-structure (FBS) design process through the situation conversion, thereby find and definite user's the demand and the Design Orientation of product; Obtain the Product Conceptual Design scheme, satisfy the user product demand; Mainly adopt drawbacks such as the non-dynamic of function modeling, the subjective experience that relies on the designer and lack of wisdom property simultaneously to current conceptual design; Subordinate act angle of the present invention is set out; Proposition is based on the behavior stream concept of situation, and is carrier with the situation semantic network, promotes theoretically that FBS designs a model and based on the instance concepts method for designing; Thereby better solve the problem of behavior structure coupled relation in design process, obtain the ability of inventive concept design proposal.
Description of drawings
Fig. 1 is shown as the operational flowchart that flows modeling method based on the behavior of situation of the present invention.
Fig. 2 is shown as the structural sheet synoptic diagram of situation behavior stream.
Fig. 3 is shown as behavior structure Fourier Series expansion technique frame diagram.
Fig. 4 is shown as an embodiment synoptic diagram of situation semantic network.
Fig. 5 is shown as the SR-NET figure of valve actuating mechanism.
The element numbers explanation
S100 ~ S108 step
Embodiment
Below through specific instantiation embodiment of the present invention is described, those skilled in the art can understand other advantages of the present invention and effect easily by the content that this instructions disclosed.The present invention can also implement or use through other different embodiment, and each item details in this instructions also can be based on different viewpoints and application, carries out various modifications or change under the spirit of the present invention not deviating from.
See also Fig. 1, promptly show the operational flowchart of the behavior stream modeling method based on situation of the present invention, below promptly cooperate Fig. 2 to Fig. 5 that the operation steps of the behavior stream modeling method based on situation of the present invention is elaborated.
As shown in Figure 1, execution in step S100 at first makes up the situation knowledge based on three hierarchical spaces of behavior stream, with situation knowledge as the input reference.Wherein, As shown in Figure 2, the cognitive process that these three hierarchical spaces are based on logic and sequential is divided, and is respectively logical level space, cognitive hierarchical space and concrete behavior hierarchical space; Particularly; The logical level space, promptly on logical layer, behavior can be divided in the perception, on the strategy and behavior semantically; And cognitive hierarchical space promptly on cognitive process, at first causes the cognition in the memory by the behavior that perceives, finally in the selection to decision-making; The concrete behavior hierarchical space, promptly on the basis of above-mentioned aspect behavior, concrete behavior is reflected as selection, assessment and revises.In addition; This situation knowledge comprises constructive memory and case scenarios, and particularly, this constructive memory is meant that man memory is not when being fixed on original experience and incident generation; But bringing in constant renewal in and changing; When people need use memory, memory just constantly by reconstruct, rather than be fixed in the memory of passing by.When people remember in the past those experiences or incident, in fact be to the rebuilding of experience and incident, and be not only extraction that constructive memory shows as the deviser to the reconstruct of design experiences, knowledge in the past in product design process to these incidents.And the case situation is exactly a case and knowledge representation thereof; Seeing from the angle of knowledge engineering and artificial intelligence, is to accomplish the design problem solving process by means of special knowledge based on the problem solving process of the reasoning of case, and special knowledge is to receive restriction, that before lived through, the knowledge that can not regularization of situation; Be a kind of knowledge of specifics; It is exactly so-called case that special knowledge shows in the reasoning based on case, helps analogism, and it is high to find the solution problem efficient.Then, execution in step S101.
In step S101, set up the situation index of behavior and structure, and situation knowledge is organized according to index, make up the situation semantic network.Then, execution in step S102.
In step S102, separate structure behavior stream sequence according to function mapping generation behavior.Then, execution in step S103.
In step S103,,, in the subspace of corresponding situation knowledge, separate according to the structure of the optimum coupling of searching algorithm search fitness value according to the situation attribute of each behavior element in the behavior stream with of the driving input of behavior stream as the situation semantic network.Then, execution in step S104.
In step S104, judge whether the structure that is searched is separated is that the structure that meets the behavior is separated, if, then proceed to step 105, if not, then return step S102, rebuild behavior stream sequence.
In step S105, conclude and realize a sub-function.Then, proceed to step S106.
In step S106, judge conclude whether all subfunctions of realization satisfy all requirements, if not, then proceed to step S107, if then proceed to step S108.
In step S107, drive its situation conversion with behavior stream, and be transformed into next sight.Then, be back to step S102.
In step S108, obtain final mapping result, the coupling of structure is arrived in the realization behavior, and finishes this behavior stream modeling method based on situation.
Behavior is to realize the carrier of function to structure mapping, and behavior simultaneously is again the relation of multi-to-multi to the mapping of structure, i.e. behavior can have multiple structure as its carrier, and a structure often has a plurality of behaviors.
In product design process, flow through journey from a complete behavior, when behavior is in different situations place, need between situation, transform, realize the reasoning and the utilization of situation knowledge.The deviser promotes himself design situation conversion, up to accomplishing design objective through the different attribute acquisition design knowledge of search method according to behavior.The behavior structure Fourier Series expansion technique frame diagram of behavior stream in situation is as shown in Figure 3.
Use the searching method described in the above-mentioned steps S103 for more clearly understanding, below cooperate Fig. 4 to be elaborated, set up the situation semantic network according to the situation knowledge characteristic; Employing is set up the relation of design problem and index thereof based on the methods of marking of semantic degree of membership, separates situation in the design process each, in situation knowledge, searches for; According to " be subordinate to fully=1; be not subordinate to fully=0 " scope mark, obtain Optimum Matching, and drive its situation conversion with behavior stream; The structure of accomplishing under a series of situations is separated, and realizes design object.Semantic network is a kind of knowledge representation mode, generally uses following structure representation: (node 1, relation, node 2).For ease of the present invention will be described; To give a definition one based on the semantic network under the situation transformational relation; Be called SR-NET (Situated relation-net), and select RDFS (resource description framework), the situation condition in the design process is converted into body RDF statement as the SR-NET Ontology Language; Carry out the degree of membership search arithmetic in view of the above, the structure that in situation knowledge, obtains coupling is separated.Concern in the semantic network node 1 and node 2 expression situation transformational relations, separating under node 3 expression nodes 1 situation in situation.As shown in Figure 4.
The class of parts and the RDF of situation attribute thereof express a node just having formed the product semantics network model, and the RDF of parts representes as follows:
Class definition
< rdfs:Class rdf:about=“ ∂ The parts title " >
< rdfs:subClassOf rdf:resource=“ &rdfs; Annexation " >
< rdfs:subClassOf rdf:resource=“ &rdfs; The situation attribute " >
< rdfs:subClassOf rdf:resource=“ &rdfs; Semantic relation " >
</rdfs:Class>
The situation attribute definition
<rdf:Property?rdf:about=“∂PartProperty”>
< rdfs:domain rdf:resource=“ ∂ The parts title " >
<rdfs:range?rdf:resource=“&rdfs;Logic“>
<rdfs:range?rdf:resource=“&rdfs;Squence“>
<rdfs:range?rdf:resource=“&rdfs;Action“>
</rdf:Property>
...
A node connects into the semantic network model through semantic relation, and the SR-NET model is exactly to be made up of node and semantic relation in essence.In design process the most frequently used to the SR-NET semantic relation have: (transfer), ISA, AKO etc. are separated, changed to situation.
After setting up the SR-NET model, input is carried out the semantic network that semantic search can mate in product situation semantic network model bank according to behavior stream, calculates matching degree, obtains the initial solution set; Secondly, be converted into body RDF expression through the demand of inquiring about the user based on the parsing of situation and body, carry out the matching degree computing in view of the above, the structure that in situation knowledge, obtains coupling is separated.
The computing method of node degree of membership are following:
If x is certain attribute desired value, y is this property value that each structure is separated in the situation knowledge.
1) establish x, when y is quantitative values, promptly the situation attribute is Ba, Bs, its matching degree calculating formula does
X wherein, y ∈ [V
Min, V
Max], V
Min, V
MaxBound for this attribute value.
2) as x, when y is qualitative value, corresponding situation attribute is Bi, calculates matching degree through qualitative value is quantitatively described, its calculating formula does
Mat(x,y)＝1-|f(x)-f(y)| （2）
Wherein function f (x), f (y) are the quantitative change type of qualitative value, the value ∈ of f [0,1].
3) when calculating the matching degree of an x and a span [a, b], its calculating formula does
The matching degree of each node situation attribute multiply by the degree of membership value K that the corresponding weights coefficient promptly obtains each coupling instance, k ∈ [0,1].The degree of membership value shows that more greatly the structure that searches separates good more with behavior input coupling, meets design object.
Be that more detailed understanding uses the behavior stream modeling method based on situation of the present invention and carry out the validity that area of computer aided realizes behavior structure optimizing and innovation, below with the example that is designed to of engine valve actuating mechanism, and cooperation Fig. 5 is elaborated.
At first; Analyze this problem of description according to the course of work of engine, engine is a kind of energy transfer mechanism, and it is transformed into mechanical energy with the heat energy that fuel combustion produces; Through air inlet, compression, acting, four processes of exhaust is a working cycle; Just realized energy conversion, and constantly repeated, engine can be turned round continuously through working cycle.
Valve actuating mechanism is the control gear of inlet and outlet pipeline, and it opens and closes the inlet and outlet door on schedule, supplies with combustion mixture and timely combustion gas to cylinder according to the requirement of the job order and the course of work of cylinder.When the inlet and outlet door is closed, guarantee cylinder seal simultaneously, air inlet is abundant, and exhaust is thorough.To the four-stroke engine in the working cycle, the situation knowledge of valve actuating mechanism is following:
1) suction stroke: because the rotation of bent axle, piston moves to lower dead center from top dead centre.The a little higher than atmospheric pressure of pressure in the cylinder, along with piston moves down, the cylinder internal volume increases, and pressure reduces, and when pressure is lower than atmospheric pressure, produces pull of vacuum in the cylinder, and air and gasoline are mixed into combustion mixture.At this moment need the combustible gas input cylinder that generates.
2) compression travel: bent axle continues rotation, and piston moves to top dead centre from lower dead center, and the cylinder domestic demand becomes enclosed volume so that piston is compressed from lower dead center inflammable gas when top dead centre moves, and pressure and temperature constantly raises.At this moment need keep the cylinder inner sealing.
3) expansion space stroke: expansion space stroke comprises combustion process and expansion process.When piston was positioned at compression travel near top dead centre (being ignition advance angle) position, spark plug produced electric spark and lights combustion mixture, emits a large amount of heat after the combustion mixture burning interior gas temperature of cylinder and pressure are sharply raise.
4) instroke: the waste gas that combustion mixture burns the back generation in cylinder combustion must discharge from cylinder so that carry out next suction stroke.Approaching at the end when work done, lean on the pressure of waste gas to carry out free exhaust earlier, the piston arrives lower dead center when top dead centre moves, continues to force waste gas to be discharged in the atmosphere to go again, and piston is crossed after top dead center, and exhaust stops, and instroke finishes.
5) bent axle continues rotation, and piston moves to lower dead center from top dead centre, has begun next new cyclic process again.
Behavior stream under above-mentioned situation is as shown in table 1:
Table 1
| The behavior numbering | The behavior title | Behavior property | Situation |
| 01 | IVO Inlet Valve Open | Ba | Supply with inflammable gas to cylinder |
| 02 | Exhaust valve closes | Ba | Sealing prevents gas leakage |
| 03 | The inlet and outlet door closes | Ba | Sealing |
| 04 | Burning, expansion | Bs | Acting, heat conduction |
| 05 | Exhaust valve leaves, IVC Inlet Valve Closed | Ba | Waste discharge gas |
| 06 | Exhaust valve closes | Ba | Waste gas drains, the punctual switching |
| 07 | Actual adjustment | Bi | Under-inflation, exhaust are unclean |
Then, be example with the valve, set up valve body based on RDFS, use as node among the SR-NET of valve actuating mechanism design.The valve ontology representation is following:
Class definition
< rdfs:Class rdf:about=“ ∂ Valve " >
<rdfs:subClassOf?rdf:resource=“&rdfs;Bs”>
< rdfs:subClassOf rdf:resource=“ &rdfs; Situation is separated " >
<rdfs:subClassOf?rdf:resource=“&rdfs;transfer”>
</rdfs:Class>
Attribute definition
< rdf:Property rdf:about=“ ∂ Function " >
< rdfs:domain rdf:resource=“ ∂ Valve & >
< rdfs:rang e rdf:resource=“ &rdfs; Situation is separated " >
</rdf:Property>
< rdf:Property rdf:about=“ ∂ Number " >
< rdfs:domain rdf:resource=“ ∂ Valve " >
<rdfs:range?rdf:resource=“&rdfs;ISA“>
</rdf:Property>
< rdf:Property rdf:about=“ ∂ Arrangement " >
< rdfs:domain rdf:resource=“ ∂ Valve " >
<rdfs:range?rdf:resource=“&rdfs;Literral“>
</rdf:Property>
...
On this basis, connect each node with various semantic relations, its valve actuating mechanism SR-NET model of setting up is as shown in Figure 5, and storage is gone in the product semantics network model storehouse.
Trigger the semantic network search mechanisms with the input of behavior stream,, obtain the required semantic network fragment of design object, shown in the content in the twill underframe of Fig. 5 in conjunction with situation storehouse and degree of membership computing formula.
In sum; Situation search technique based on semantic network has obtained application verification in the engine valve actuating mechanism design; With respect to traditional search matched technology; It serves as the product model that connects bridge with behavior stream that behavior stream modeling method based on situation of the present invention can be set up one preferably; In the process of the behavior of parsing structure coupled relation, can automatically obtain implicit situation knowledge wherein, be convenient to carry out the search and the computing of situation knowledge, improve the matching degree that the similar Design structure is separated according to product model.
The foregoing description is illustrative principle of the present invention and effect thereof only, but not is used to limit the present invention.Any be familiar with this technological personage all can be under spirit of the present invention and category, the foregoing description is modified or is changed.Therefore, have common knowledge the knowledgeable in the affiliated such as technical field, must contain by claim of the present invention not breaking away from all equivalence modifications of being accomplished under disclosed spirit and the technological thought or changing.
Claims (3)
1. the behavior stream modeling method based on situation is characterized in that, said behavior stream modeling method based on situation comprises:
1) three hierarchical spaces based on behavior stream make up the situation knowledge, with situation knowledge as the input reference;
2) set up the situation index of behavior and structure, and situation knowledge is organized, make up the situation semantic network according to index;
3) separate structure behavior stream sequence according to function mapping generation behavior;
4) with of the driving input of behavior stream as the situation semantic network, according to the situation attribute of each behavior element in the behavior stream,
In the subspace of corresponding situation knowledge, separate according to the structure of the optimum coupling of searching algorithm search fitness value; Separate if can not find the structure that meets the behavior; Then return a step 3) and rebuild behavior stream sequence; If find the structure that meets the behavior to separate, promptly conclude and realize a sub-function, then proceed to next step 5); And
Whether all subfunctions of 5) judging gained satisfy all requirements, if not, then drive its situation conversion with behavior stream; And be transformed into next sight, and proceed to the new behavior stream sequence of step 3) structure, if; Then obtain final mapping result, the realization behavior is to the coupling of structure.
2. the behavior stream modeling method based on situation according to claim 1, it is characterized in that: said three hierarchical spaces are respectively logical level space, cognitive hierarchical space and concrete behavior hierarchical space.
3. the behavior stream modeling method based on situation according to claim 1, it is characterized in that: said situation knowledge comprises constructive memory and case scenarios.
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| CN105936047A (en) * | 2016-07-06 | 2016-09-14 | 厦门快商通科技股份有限公司 | Brain imitation robot controlling and studying system |
| CN107944184A (en) * | 2017-09-04 | 2018-04-20 | 北京理工大学 | With reference to life system theory and the Method of Conceptual Design of FBS |
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| CN103729492A (en) * | 2013-10-10 | 2014-04-16 | 同济大学 | Modeling method based on behavior flow function and behavior coupling relation |
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| CN104636528A (en) * | 2013-11-15 | 2015-05-20 | 同济大学 | Engine modeling method based on behavior flow complex product function community and evolving of behavior flow complex product function community |
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| CN105936047A (en) * | 2016-07-06 | 2016-09-14 | 厦门快商通科技股份有限公司 | Brain imitation robot controlling and studying system |
| CN105936047B (en) * | 2016-07-06 | 2018-05-04 | 厦门快商通科技股份有限公司 | Fang Nao robots control and learning system |
| CN107944184A (en) * | 2017-09-04 | 2018-04-20 | 北京理工大学 | With reference to life system theory and the Method of Conceptual Design of FBS |
| CN107944184B (en) * | 2017-09-04 | 2019-02-22 | 北京理工大学 | In conjunction with the Method of Conceptual Design of life system theory and FBS |
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