CN101901490A - System for generating signal conditioning circuit images - Google Patents
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Abstract
The invention provides a system for generating signal conditioning circuit images. The system comprises a storage module, a searching module and an input/output module, wherein the storage module is used for storing a plurality of basic circuits; the searching module is used for searching a target circuit related to a circuit to be generated for a user from the storage module according to description information on the circuit to be generated of the user; the input/output module is used for receiving the description information on the circuit to be generated of the user, outputting the target circuit and receiving the modification on the target circuit of the user to obtain the circuit to be generated; and the searching module comprises a determining unit, a searching unit, an acquiring unit and a selecting unit, wherein the determining unit is used for generating a first information entity muster of the circuit to be generated, the searching unit is used for searching target basic circuits comprising the whole or partial information entities in the first information entity muster from the storage module, the acquiring unit is used for acquiring the relevance degree of the first information entity muster and the target basic circuits, and the selecting unit is used for selecting at least one target basic circuit with the relevance degree larger than a preset relevance degree threshold value from the target basic circuits to serve as the target circuit.
Description
Technical field
The present invention relates to image processing field, relate in particular to a kind of system that generates signal conditioning circuit images.
Background technology
Signal conditioning circuit is made up of multiple different components and parts, comprises resistance, electric capacity and sensor etc.In the prior art, the generation method of signal conditioning circuit is the user designs signal conditioning circuit according to original design experiences a sketch, utilize for example schematic diagram and the PCB figure that draws such as Protel, AutoCAD of circuit diagram mapping software then, again the circuit that generates is tested and adjustment obtains customer satisfaction system signal conditioning circuit.Because components and parts number and kind are numerous in the signal conditioning circuit, and the annexation of components and parts is complicated, and user's intractability in the process that generates signal conditioning circuit is higher, and the processing time is longer, and is not easy to user's operation.
Summary of the invention
A kind of system that generates signal conditioning circuit images provided by the invention generates signal conditioning circuit than complicated problems to solve in the prior art.
For solving the problems of the technologies described above, the invention provides following technical scheme:
A kind of system that generates signal conditioning circuit images comprises memory module, searches module and input/output module, wherein:
Described memory module is used to store a plurality of basic circuits, and the characteristic information of each basic circuit is described by the set that comprises at least one information entity respectively, and wherein said information entity comprises attribute and numerical value;
The described module of searching is used for treating according to the user descriptor of generative circuit, searches the relevant objective circuit of the required circuit to be generated of user from described memory module;
Described input/output module is used to receive the descriptor of user to described circuit to be generated, and in the described module searches of searching behind objective circuit, export described objective circuit, by accepting the modification of user, obtain described circuit to be generated to described objective circuit;
The wherein said module of searching comprises:
Determining unit is used for the descriptor to described circuit to be generated according to the user, generates the first information entity sets of described circuit to be generated;
Search unit is used for described first information entity sets finding the target basic circuit with all or part of information entity of described first information entity sets as the information of searching from described memory module;
Acquiring unit is used for according to the information entity that sets in advance and the degree of correlation of each basic circuit, obtains described first information entity sets and the degree of correlation of the described target basic circuit that finds;
Selected cell is used for from described target basic circuit, select the degree of correlation greater than at least one of the degree of correlation threshold value that sets in advance as objective circuit.
Further, described information entity is used for describing performance information, application scenarios information or the part characteristic information of described memory module circuit, wherein:
The performance information of described basic circuit comprises the form of described basic circuit output signal or the combination of form and numerical value;
The part characteristic information of described basic circuit comprises in the characteristic of the form of non-electric physical quantity that sensor need measure, output signal and output signal at least one.
Further, described determining unit determines that the mode of described first information entity sets comprises any one:
Mode one: adopt the semantic analysis mode, the descriptor that described user is imported transforms into information entity, obtains described first information entity sets;
Mode two: when the describing mode of information entity is inconsistent in information entity that judgment mode one obtains and described memory module, convert inconsistent describing mode in the information entity that obtains the describing mode of information entity in the described memory module to, obtain described first information entity sets;
Mode three: from described memory module, search have with described mode one or mode two in the information entity of the information entity same alike result that obtains, obtain described first information entity sets.
Further, described acquiring unit is used for:
Adopt following expression to calculate the degree of correlation of described first information entity sets and the described described target basic circuit that finds, described expression formula is
Wherein:
S represents the sum of information entity in the described first information entity sets;
e
kRepresent k information entity in the described first information entity sets;
Ci represents i basic circuit finding;
ρ (e
k, Ci) k information entity e of expression
kThe degree of correlation with i basic circuit Ci;
If the set of the information entity of described i basic circuit Ci comprises the full detail entity in the described first information entity sets, then K=s; Otherwise the value of K is decided by the number of identical information entity in set of the information entity of i basic circuit Ci and the described first information entity sets.
Further, the degree of correlation of information entity that described acquiring unit adopted and basic circuit be under the simulation or the condition of emulation according to the property value of adjusting this information entity after output result's the variation of basic circuit determine.
Technical scheme provided by the invention, the module of searching of described system finds the target basic circuit with all or part of information entity of this first information entity sets according to the first information entity sets of circuit to be generated from memory module, and according to the degree of correlation of information entity and this target basic circuit in this first information entity sets, select the degree of correlation greater than the target basic circuit of dependent thresholds as objective circuit, obtain the objective circuit similar to the characteristic information of circuit to be generated, this objective circuit has most of feature of subscriber's line circuit, make the user on this objective circuit, generate required circuit, generate one by one with user in the prior art and to compare, reduced user's operation, reduced the complexity that generates signal conditioning circuit, simplify user's use, saved user's running time.
Description of drawings
Fig. 1 is the structural representation of generation signal conditioning circuit images embodiment provided by the invention;
Fig. 2 is the method flow synoptic diagram that generates signal conditioning circuit images under system shown in Figure 1 provided by the invention.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, the present invention is described in further detail below in conjunction with the accompanying drawings and the specific embodiments.
Fig. 1 is a kind of system embodiment that generates signal conditioning circuit images provided by the invention, comprises memory module 11, searches module 12 and input/output module 13, wherein:
Described memory module 11 is used to store a plurality of basic circuits, and the characteristic information of each basic circuit is described by the set that comprises at least one information entity respectively, and wherein said information entity comprises attribute and numerical value;
The described module 12 of searching is used for treating according to the user descriptor of generative circuit, searches the relevant objective circuit of the required circuit to be generated of user from described memory module;
Described input/output module 13, be used to receive the descriptor of user to described circuit to be generated, and in the described module searches of searching behind objective circuit, export described objective circuit, by accepting the modification of user, obtain described circuit to be generated to described objective circuit;
The wherein said module 12 of searching comprises:
Determining unit 121 is used for the descriptor to described circuit to be generated according to the user, generates the first information entity sets of described circuit to be generated;
Search unit 122 is used for described first information entity sets finding the target basic circuit with all or part of information entity of described first information entity sets as the information of searching from described memory module;
Acquiring unit 123 is used for according to the information entity that sets in advance and the degree of correlation of each basic circuit, obtains described first information entity sets and the degree of correlation of the described target basic circuit that finds;
Selected cell 124 is used for from described target basic circuit, select the degree of correlation greater than at least one of the degree of correlation threshold value that sets in advance as objective circuit.
Described information entity is used for describing performance information, application scenarios information or the part characteristic information of described memory module circuit, wherein:
The performance information of described basic circuit comprises the form of described basic circuit output signal or the combination of form and numerical value, for example 1～5V voltage signal or 4～20mA current signal;
The application scenarios information of described basic circuit can be thermocouple interface circuit and rotating speed of automobile engine signal damping modulate circuit etc.;
The part characteristic information of described basic circuit comprises in the characteristic of the form of non-electric physical quantity that sensor need measure, output signal and output signal at least one; For example, non-electric physical quantity can be power, pressure, weight, moment, stress, strain, displacement, speed, acceleration, vibration, impact, temperature, humidity and flow etc.; The form of output signal can be electric current, voltage, resistance, inductance, electric capacity, electric charge, the impedance of frequency fire etc.; The characteristic information of sensor comprises measurement range, range, the linearity, degree of accuracy, sensitivity, resolution and working environment etc.
Described determining unit determines that the mode of described first information entity sets comprises any one:
Mode one: adopt the semantic analysis mode, the descriptor that described user is imported transforms into information entity, obtains first information entity sets;
For mode one, for example, the user imports " operational amplifier 50～100 ", adopt semantic analysis, the description content of determining this input information is an operational amplifier, and the multiple of this amplifier is 50～100, and then generating an information entity is first information entity sets, semantic analysis being used widely in network search engines no longer given unnecessary details this technology herein in the prior art.
Mode two: obtain the describing mode of information entity in information entity and the described memory module when inconsistent at judgment mode one, convert inconsistent describing mode in the information entity that obtains the describing mode of information entity in the described memory module to, obtain first information entity sets;
For mode two: setting in advance a synonym conversion table, this synonym table records in the memory module the multiple describing mode to same descriptor, for example other describing modes of operational amplifier can be amplifier, computing is amplified, operational amplification circuit and gain enlargement factor etc. are amplified in integrated computing, the information entity that the information entity of these synonyms is replaced describing operational amplifier respectively, form new first information entity sets, if search in the basic circuit follow-up, if the set of the information entity of a basic circuit does not comprise the information entity that mode one obtains, judge then whether this basic circuit comprises other information entities with synonym of this information entity, if comprise, think equally that then this basic circuit comprises the information entity in this mode one.For example, a basic circuit does not comprise the information entity that is used to describe operational amplifier, but comprises the information entity of describing amplifier, thinks that then this basic circuit comprises the information entity of operational amplifier.
Mode three: from described memory module, search and have the information entity that obtains the information entity same alike result in described mode one or the mode two, obtain first information entity sets;
For mode three, information entity comprises attribute and numerical value, and wherein attribute is used for the description content of this information entity, and this numerical value is used to describe the numerical range of this content.Information entity in the information entity set of one basic circuit had identical attribute with the information entity that mode one or mode two obtain, but numerical value is not simultaneously, because the performance of components and parts, annexation and components and parts that can be by adjusting basic circuit is adjusted the numerical value of this information entity, so think that also this basic circuit comprises the information entity that this mode one or mode two obtain.For example enlargement factor is 30～40 in the basic circuit, can make enlargement factor be adjusted into 50～100 by revising, and those skilled in the art are as can be known to the method for adjusting enlargement factor, repeat no more herein.
Wherein said acquiring unit 123 is used for:
Adopt following expression to calculate the degree of correlation of described first information entity sets and the described basic circuit that finds, described formula is
Wherein:
S represents the sum of information entity in the described first information entity sets;
e
kRepresent k information entity in the described first information entity sets;
Ci represents i basic circuit finding;
ρ (e
k, Ci) k information entity e of expression
kThe degree of correlation with i basic circuit Ci;
If the set of the information entity of described i basic circuit Ci comprises the full detail entity in the described first information entity sets, then K=s; Otherwise the value of K is decided by the number of identical information entity in set of the information entity of i basic circuit Ci and the described first information entity sets.
Should in above-mentioned formula
Can be steady state value 1, it can be the value difference of different information entities, this numerical values recited can be provided with by User Interface request user, the user is according to self needs to circuit, determine the importance information of input information, search engine to the importance information that input information is provided with, is determined the weight of this input information according to the user, and is provided with the relevant information that this input information obtains and all has this weight.
In memory module, the degree of correlation of information entity and basic circuit be under the simulation or the condition of emulation according to the property value of adjusting this information entity after output result's the variation of basic circuit determine.For example, for the resistance in the basic circuit is that example describes, the numerical value of a resistance is 50 Europe in this basic circuit, under simulation or simulated conditions, these components and parts are adjusted into other components and parts or adjust the resistance of this resistance, whether the output effect of checking this basic circuit changes, if current output effect and original output effect differ bigger, the size of then representing the selection of these components and parts and these components and parts has bigger relation to the output effect of basic circuit, think that then the degree of correlation of this resistance and value thereof and this case is higher, otherwise, the degree of correlation is lower, those skilled in the art this moment can be rule of thumb be configured the size of this degree of correlation, in like manner to the configuration of this degree of correlation threshold value.
In conjunction with system shown in Figure 1, the invention provides a kind of method that under system shown in Figure 1, generates signal conditioning circuit images, as shown in Figure 2:
System provided by the invention, search module and from memory module, find target basic circuit with all or part of information entity of this first information entity sets according to the first information entity sets of circuit to be generated, and according to the degree of correlation of information entity and this target basic circuit in this first information entity sets, select the degree of correlation greater than the target basic circuit of dependent thresholds as objective circuit, obtain the objective circuit similar to the characteristic information of circuit to be generated, this objective circuit has most of feature of subscriber's line circuit, make the user on this objective circuit, generate required circuit, generate one by one with user in the prior art and to compare, reduced user's operation, reduced the complexity that generates signal conditioning circuit, simplify user's use, saved user's running time.
Describe with a concrete application example below:
Because the subject characteristic of sensor and signal conditioning circuit, the description of case has great uncertainty, can not express design experiences with the case structure that fixed attribute is described.Here (case-retrieval nets CRN) as the description and the extraction structure of cases of design, with dynamic attribute structrual description case, efficiently solves the problems referred to above to extract net with case.According to different inquiry problems, this reticulate texture dynamically generates in internal memory.
Case among the CRN is to be information entity by one (Information Entities, blocks of knowledge IEs) is described.It is right that IEs is similar to case is described among the traditional C BR " attribute-value ", but it is an atomic structure, is the minimum unit of knowledge among the CRN.Generally use a plurality of IEs to describe a case, different cases are gathered by different IEs and are described.The similarity association is arranged between the different I Es, and have correlativity related between each IEs and the corresponding case that it will be described.
Utilize CRN to deal with problems and comprise following 3 basic steps:
The activation of the IEs relevant with problem to be solved.This step can be regarded as the parsing of problem to be solved, converts thereof into a subclass Q into information entity, can adopt the method for semantic analysis, and problem is transformed into information entity; Can also adopt the method for simple word match, each entity among the fox message entity complete or collected works, if appear in the problem description or with certain part of problem description be the entity of synonym, then this information entity is placed among the problem subclass Q.
In the signal conditioning circuit design process, can be the form and the scope resolution of the information of sensor, signal conditioning circuit application scenario, the requirement of signal condition application characteristic and signal conditioning circuit output signal IEs; Proposing process in design proposal, then is that concrete description is as IEs.
CRN is a reticulate texture of setting up in real time according to particular problem, yet, generate CRN according to problem, need to exist in the case library following two relations: the 1. similarity between information entity, as e1 and e2, (e1 e2) represents with σ.2. the correlativity between information entity 2 and case are described, (e c) represents with ρ.
Calculate wherein among the CRN that similarity specifically comprises between IEs:
The node line of CRN network comprises two relations, and one is the similarity relation between information entity, and one is the correlative relationship between information entity and example.And the similarity between information entity provides and has been similar to the comparison between the same alike result different attribute value in traditional similarity function.Just because of this relation has been arranged, even a certain information entity does not appear in the problem description of natural language, it still can by with the similarity relation of the information entity of other appearance, therefore thereby connect with problem, and its described example has also had the relevant relating value with problem description.Yet, by as can be known top, have similarity to mean that simultaneously these two information entities described same alike result originally between two information entities, just corresponding property value difference.Whether similar and similar whether therefore, when judging two information entities degree size, need identically according to the attribute of their correspondences, and the similarity degree of value is judged.Can obtain the subclass of an information entity according to problem, yet this subclass can not entirely accurate the ground expression problem, by the similarity between the information entity, we can obtain the set of other information entities relevant with problem description, and this is a kind of active mode of propagation type.In this way, we have enlarged the scope of search.The activation of this propagation type can have repeatedly iteration, when number of iterations is 1, the CRN net that builds be also referred to as basic CRN (Basic Case Retrieve Nets, BCRN).
Calculate wherein that the correlativity of IEs and case specifically comprises among the CRN:
After similarity between information entity has been calculated, obtain the subclass of an information entity, CRN has also made up half, and remaining work is exactly the relating value size that calculates example and current problem description according to each information entity in the set and the correlative relationship of corresponding example.And the extraction of final example is exactly to take this as a foundation.In reality realized, we were provided with a threshold values, and the example that relating value surpasses threshold values is considered to alternative example.
According to each IEs in the set and the degree of correlation of each case, calculate the correlation degree of case and current problem.And final case is just extracted on this basis.
Specify relation how to obtain relation and IEs and case between IEs below:
Various input informations in A, the signal conditioning circuit design process can resolve to an IEs set, and wherein the IEs of circuit to be generated set is the subclass of IEs set in the case library.For all IEs:e ∈ E in the case library, during describing, symptom, α is arranged then if this IEs occurs
0(e)=1, otherwise, α is arranged
0(e)=0.Occur owing to have synonym, can set up a synonym table, the corresponding IEs of a plurality of synonyms.Matching process then is to be earlier that simple string matching or corresponding semantic analysis are carried out to problem description in the basis with the keyword, obtain after the set of keywords, according to the corresponding relation of key word and IEs, convert it into a subclass Q again into information entity complete or collected works E.This step also is the resolving of problem, obtains resolving the set of back IEs, just E
1={ e| α 0 (e)=1, e ∈ E} are by being stored in α in the internal memory
0(e) value represents whether this information entity is relevant with problem.
According to being used for describing all information entity set of the characteristic information of circuit of this case library, the information entity set of obtaining circuit to be generated in the case library.
The analog information entity of information entity correspondence in case library of B, calculating circuit to be generated;
For each IEs:e ∈ E in the case library, calculate:
α
1(e)＝π
e〔σ(e
1，e)·α
0(e
1)，σ(e
2，e)·α
0(e
2)，...σ(e
n，e)·α
0(e
n)...，σ(e
s，e)·α
0(e
s)〕
π wherein
eBe a weighting function, can adopt the maximizing or the algorithm of summation; e
1～e
s∈ E is the set of the IEs that comes out of problem analysis, σ (e
n, e) expression IEs e and IEs e
nBetween similarity; α
0(e
n) represented an iteration once, α
0(e
n) value represent that it is relevant with problem, n=1～S wherein.This step has just been set up at the similarity association between each IEs among the CRN of current problem after finishing.
If the IEs e of circuit to be generated is used to describe circuit performance, comprise the form and/or the numerical value of output signal, if then characteristic information all satisfies, then dispose this σ (e
n, e) be the 1 IEs e in the case library for example
nAlso be signal form and/or the numerical value of describing circuit output, and comprise the interior signal form and/or the numerical value of IEs e of circuit to be generated,, then dispose this σ (e if there is part to satisfy
n, be 0.5 e), for example the output signal type of Miao Shuing is identical, but the numerical value of signal is inconsistent, as do not comprise numerical value on/lower limit etc., other situations dispose this σ (e
n, be 0 e).
If the IEs e of circuit to be generated is used to describe the application scenarios of circuit, if the IEse in the case library
nIdentical with the application scenarios of circuit to be generated, then dispose this σ (e
n, be 1 e); If both application scenarioss are similar or close, dispose this σ (e
n, be 0.5 e); Other situations dispose this σ (e
n, be 0 e).
In like manner, handle the σ (e of the IEs e of the part characteristic information be used to describe circuit to be generated
n, e) disposal route is similar.
Pass through E
1And above-mentioned formula, activate other IEs:e ∈ Es, they satisfy α
1(e)＞0, this activation can be carried out unlimited expansion by following formula:
α
t(e)＝π
t(σ(e
1，e)·α
t-1(e
1)，σ(e
2，e)·α
t-1(e
2)，...，σ(e
s，e)·α
t-1(e
s))
Wherein, e
1～e
s∈ E
T-2, and E
T-2={ e| α
T-1(e)=＞m}.M calculates α
T-1(e) threshold values the time.Only carried out for two steps when this activation and (promptly only calculated α
t(e)) time, the calculating of this iteration has only been carried out 1 time, and therefore, be exactly the basic model BCRN (Basic CRN) of CRN this moment.
In traditional C BR, need to calculate the similarity degree between two property values of the description attribute corresponding of each case in the case library, to reflect the similarity of problem description and this case with current problem.In CRN, the α of calculating
t(e) value has just reflected a kind of like this similarity of property value, " attribute-value " that reflects case in the case library to the degree of correlation of being asked a question.
Preferably, according to the information that information entity in the case library is described full detail entity in the case library is distinguished three classes, classification is performance information, application scenarios information and part characteristic information; When obtaining the analog information entity, obtain the information of the information entity description of circuit to be generated earlier, thereby determine the affiliated classification of information entity of this circuit to be generated; Whole entities of the type in the information entity of this circuit to be generated and the case library are compared, and content relatively at first be an attribute, in the span of definite this property value.
According to set of the information entity of circuit to be generated and the analog information entity sets that calculates, in case library, search have feature in the above-mentioned information entity circuit as the target search scope.
The correlative relationship of case in C, the information entity that calculates circuit to be generated and the target search scope
α
2(C)＝π
c[ρ(e
1，c)·α
1(e
1)，...ρ(e
s，c)·α
1(e
s)]
π wherein
cFunction is a weighting function.At this moment, having the similarity association between the IEs [is α
1And exist correlativity related between IEs and the case (e)],
In signal conditioning circuit management system based on reasoning by cases, for design process, set up CRN according to concrete sensor information and application requirements information, extract then to current design and require the most similar former case (storing design experiences), adopt its design result through the case correction, suggestion design result as the current design scheme has realized the design based on reasoning by cases.
Need to prove function π
cWhether computation model (∧) can reflect correctly that the degree of correlation of problem and example is just very important.The normal a kind of method that adopts be with or the function of weighted sum.Yet, adopt this method can produce a problem, that is exactly for certain example, and when relevant information entity number is a lot, but each information entity is less to the degree of association of example, can produce a bigger relating value; When relevant information entity number is few, but each information entity is bigger to the correlation degree of example, also can produce a bigger relating value.That is to say that the size that influences the relating value of example and problem has had two factors, one is the related information entity number of example, and one is the correlation degree of information entity and example.When only adopt and or during the form of weighted sum (for example mean value), just reflected the correlation degree of information entity and example, do not reflect the information of the information entity number related with example.Under certain conditions, need the next solution at problem of a kind of "large and all inclusive" example, at this time, the information entity number is with regard to outbalance, and the information entity number relevant with problem is many more, then represents this example coverage more " greatly "; And under another situation, need the example of " small but excellent ", at this time, the mean value of the information entity and the example degree of association is just even more important.Therefore, we must design a model, can reflect related information entity number, can reflect the degree of association of information entity and example again.
According to above analysis, the π below we have proposed
c(∧) function computation model is by weights with reflect top said two components that influence relating value.
At first, we suppose in the CRN net for example C
i, use NC
iRepresent C
iThe number of related example, make M
c=Max (NC
i), i=1,2 ..., n.For i example C
i, we make ∑
iRepresent the information entity degree of association that current example is relevant and or weighted sum, then generally (form of averaging):
S represents the number of the information entity relevant with current example
This moment our definitions example C
iThe relating value function following form is arranged:
Wherein q is a weighted number, is the decimal between 0～1.
When q is bigger, reflected the requirement of example to relevant information entity number; When it is smaller, reflected of the influence of information entity correlativity to the example relating value.A model has like this reflected the relation of two components that influence the example relating value preferably, in the ordinary course of things, sets each α among the q=0.5.CRN
2(c) ≠ 0 case all is with the related case of current problem, and just they are different with the current problem correlation degree, and α
2(c) value is exactly the numeric representation of case c and current problem correlation degree.This numerical value can be called relating value.We can extract the reference of one or several case of relating value maximum as the current problem solution.
Further, the case study link that is absolutely necessary, we adopt the means with reasoning by cases, new case is resolved to the subclass of an information entity, and then the degree of correlation of each information entity and new case in this subclass is set, when we store case in the case library into, and when this case stored with the corresponding degree of correlation of information entity, just finished the study of a case.
In case study,,, must cause the pressure of efficient to reasoning by cases, the redundancy issue of case that Here it is if they all participate in the reasoning of case because therefore case source disunity two almost completely identical cases will inevitably occur and appear in the system.We adopt a kind of solution is the correlativity of only storing one of them case and information entity, other case almost completely identical with this case then only keeps and the linking of this case, the link case still can be queried to by this case, yet they do not participate in the reasoning of case.
How to judge whether two cases express close implication, the function below we have designed is finished judgement:
Make two cases be respectively C
1, C
2, E is the complete or collected works of system information entity; Then similar discriminant function is:
As can be seen, the functional value of two not close more cases can be big more.In the implementation procedure, a threshold values is set,, can thinks that these two cases are too similar, the link of initiate example to old example can be set, thereby form a kind of disposal route of redundant case when functional value during less than this threshold values.
The correction of the correction of case and study case is important link in the CBR system.Because the case that extracts can not be coincide with problem to be solved fully, therefore, will the case of extracting be adapted, in the hope of meeting user's requirement more according to problem to be solved and some modification rules.The correction of case also is based on a difficult point of reasoning by cases system, in the signal conditioning circuit management system, sensor and signal conditioning circuit basic theory are the main sources of case modification rule, also can utilize artificial intelligence approach to extract modification rule, as the foundation of case correction.
In the initialization procedure of signal conditioning circuit management system cases of design, the domain expert will be described the modular design case of various signal conditioning circuits with standard terminology, form the IEs complete or collected works of standard, and initialization similarity and relatedness metric, the knowledge engineer constructs 1 case library: the cases of design storehouse with these modular design case input systems then.Information such as the form of sensor information, signal conditioning circuit application scenario, the requirement of signal condition application characteristic and signal conditioning circuit output signal and scope are that the case in cases of design storehouse is described, and dialectical design description then is that the case in cases of design storehouse solves.
In system's use, the design of concrete case can be described with standardization term (IEs) again, judges whether to add case library, the experience of design becoming after, the study of realization case according to its design proposal through the effect of experimental verification.And, in learning process, also to avoid too similar case to deposit case library in, cause the redundancy of case library.
Further, the explanation of case is having two important purposes in the signal conditioning circuit management system, and the one, towards the explanation that design realizes, be used to illustrate the origin cause of formation of this design proposal; The 2nd, system-oriented user's explanation, this explanation can become tutoring system based on the signal conditioning circuit of case by further transformation.
Can use of the explanation of the theoretical rule of signal conditioning circuit, yet rule-based explanation is not better than the explanation based on case in the classification design type application as cases of design.Explanation (case-based Explanation based on case, CBE) be based on the reasoning of case and combining of interpretation technique, this combination is mainly on three levels: use explanation to support the internal procedure of CBR, utilize CBR to generate explanation, use the The reasoning results of case as the external user interpre(ta)tive system.In the signal conditioning circuit management system, case design process and result are as the explanation of current conceptual design before can providing.In design process, provide information to carry out similar cases to search according to current, then these several the most similar cases are compared, find out that do not provide and " attribute-value " the difference maximum to (also being information entity), ask a question to the user in view of the above, with the concrete application requirements of clear and definite sensor and signal conditioning circuit.By this interaction feedback mode, further reduce system design and produced wrong probability, improved the precision of system; Simultaneously, also help to use the raising of Electronics Engineer's design level of this management system.
In sum, to be used for the signal conditioning circuit management system based on the reasoning by cases technology is the new approaches that the signal conditioning circuit intelligent design system is built, can the some problems of effective address signal modulate circuit management system in building process, summary is got up, its advantage mainly contain following some: for uncertain, incomplete and inconsistent signal conditioning circuit design proposal information stronger adaptive faculty is arranged, and can utilize mutual based on the explanation realization of case and user, further to define concrete application message, improve design accuracy; Case extract net structures shape the knowledge acquisition of design proposal case very convenient, and can not influence former case, efficiently solve the knowledge acquisition bottleneck; A large amount of signal conditioning circuit cases of design also is good case source; Further develop by explanation, can generate signal conditioning circuit case teaching system, help young Electronics Engineer to improve design level rapidly based on case; Along with growth service time of system, case constantly increases, and system also can improve the reasoning performance gradually, adapts to various types of signal Conditioning Circuit Design.
The all or part of step that the one of ordinary skill in the art will appreciate that the foregoing description program circuit that can use a computer is realized, described computer program can be stored in the computer-readable recording medium, described computer program (as system, unit, device etc.) on the relevant hardware platform is carried out, when carrying out, comprise one of step or its combination of method embodiment.
Alternatively, all or part of step of the foregoing description also can use integrated circuit to realize, these steps can be made into integrated circuit modules one by one respectively, perhaps a plurality of modules in them or step is made into the single integrated circuit module and realizes.Like this, the present invention is not restricted to any specific hardware and software combination.
Each device/functional module/functional unit in the foregoing description can adopt the general calculation device to realize, they can concentrate on the single calculation element, also can be distributed on the network that a plurality of calculation element forms.
Each device/functional module/functional unit in the foregoing description is realized with the form of software function module and during as independently production marketing or use, can be stored in the computer read/write memory medium.The above-mentioned computer read/write memory medium of mentioning can be a ROM (read-only memory), disk or CD etc.
The above; only be the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; can expect easily changing or replacing, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the described protection domain of claim.
Claims (5)
1. a system that generates signal conditioning circuit images is characterized in that, comprise memory module, search module and input/output module, wherein:
Described memory module is used to store a plurality of basic circuits, and the characteristic information of each basic circuit is described by the set that comprises at least one information entity respectively, and wherein said information entity comprises attribute and numerical value;
The described module of searching is used for treating according to the user descriptor of generative circuit, searches the relevant objective circuit of the required circuit to be generated of user from described memory module;
Described input/output module is used to receive the descriptor of user to described circuit to be generated, and in the described module searches of searching behind objective circuit, export described objective circuit, by accepting the modification of user, obtain described circuit to be generated to described objective circuit;
The wherein said module of searching comprises:
Determining unit is used for the descriptor to described circuit to be generated according to the user, generates the first information entity sets of described circuit to be generated;
Search unit is used for described first information entity sets finding the target basic circuit with all or part of information entity of described first information entity sets as the information of searching from described memory module;
Acquiring unit is used for according to the information entity that sets in advance and the degree of correlation of each basic circuit, obtains described first information entity sets and the degree of correlation of the described target basic circuit that finds;
Selected cell is used for from described target basic circuit, select the degree of correlation greater than at least one of the degree of correlation threshold value that sets in advance as objective circuit.
2. system according to claim 1 is characterized in that,
Described information entity is used for describing performance information, application scenarios information or the part characteristic information of described memory module circuit, wherein:
The performance information of described basic circuit comprises the form of described basic circuit output signal or the combination of form and numerical value;
The part characteristic information of described basic circuit comprises in the characteristic of the form of non-electric physical quantity that sensor need measure, output signal and output signal at least one.
3. system according to claim 1 and 2 is characterized in that, described determining unit determines that the mode of described first information entity sets comprises any one:
Mode one: adopt the semantic analysis mode, the descriptor that described user is imported transforms into information entity, obtains described first information entity sets;
Mode two: when the describing mode of information entity is inconsistent in information entity that judgment mode one obtains and described memory module, convert inconsistent describing mode in the information entity that obtains the describing mode of information entity in the described memory module to, obtain described first information entity sets;
Mode three: from described memory module, search have with described mode one or mode two in the information entity of the information entity same alike result that obtains, obtain described first information entity sets.
4. system according to claim 1 is characterized in that, described acquiring unit is used for:
Adopt following expression to calculate the degree of correlation of described first information entity sets and the described described target basic circuit that finds, described expression formula is
Wherein:
S represents the sum of information entity in the described first information entity sets;
e
kRepresent k information entity in the described first information entity sets;
Ci represents i basic circuit finding;
ρ (e
k, Ci) k information entity e of expression
kThe degree of correlation with i basic circuit Ci;
If the set of the information entity of described i basic circuit Ci comprises the full detail entity in the described first information entity sets, then K=s; Otherwise the value of K is decided by the number of identical information entity in set of the information entity of i basic circuit Ci and the described first information entity sets.
5. according to claim 1 or 4 described systems, it is characterized in that, the information entity that described acquiring unit adopted and the degree of correlation of basic circuit be under the simulation or the condition of emulation according to the property value of adjusting this information entity after output result's the variation of basic circuit determine.
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