CN108269617A - A kind of kinetic model based on transmission on complex network - Google Patents

A kind of kinetic model based on transmission on complex network Download PDF

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Publication number
CN108269617A
CN108269617A CN201810026208.9A CN201810026208A CN108269617A CN 108269617 A CN108269617 A CN 108269617A CN 201810026208 A CN201810026208 A CN 201810026208A CN 108269617 A CN108269617 A CN 108269617A
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hard spot
transmission
model
virtual
design
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李建东
王振国
刘方
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Luliang University
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Luliang University
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Abstract

The invention discloses a kind of a kind of kinetic models based on transmission on complex network, including kinetic model, and the virtual actuator and virtual-sensor being inserted into kinetic model, the virtual actuator can be decomposed into design variable, design object and the parameter of design constraint for inputting, and all design variables, design object and design constraint have direct or indirect correspondence with coherent element in simulation analysis module;The virtual-sensor is the logic unit for the target that can obtain corresponding result or information being inserted into kinetic model.The present invention can realize the dynamic change of transmission model, and realize the simulation analysis of transmission situation.

Description

A kind of kinetic model based on transmission on complex network
Technical field
The present invention relates to transmission fields, and in particular to a kind of a kind of dynamics based on transmission on complex network Model.
Background technology
Each patient is infectious rate to the effective contact rate of susceptible person S.It is passed in t moment, unit interval by all patients The number (i.e. newly-increased patient's number) of dye is the incidence of disease.It is assumed that contact rate is directly proportional to population in system, i.e. U= KN, t moment effective contact rate are β N=β 0kN, and β=β 0k are ratio of the effective contact rate in total population N in formula, that is, are known as passing Contaminate rate coefficient.When effective contact rate is β N, incidence is β SI, i.e., is β SI in the moment t new patient's numbers generated, it represents easy New patient's number caused by being contacted between sense person S and patient I.This incidence is bilinearity incidence (bilinear), also referred to as Simple mass action law.
When the size of population is larger, contact rate is proportional to population clearly unpractical, because a patient is in list The people of position time interior energy contact is limited.Contact rate is generally assumed that at this time as a constant k, then effective contact rate is β=β 0k, and the incidence of disease is just β SI/N, such incidence is known as Standard Incidence Ratio.
There is researcher to point out, for the mankind and some social animals, Standard Incidence Ratio is more more scientific than bilinearity incidence. So many models are corrected on the basis of Standard Incidence Ratio.Someone has studied the cholera disease of several Nonlinear incidence rates The kinetic model that poison is propagated.However, these kinetic models can not really reflect the detailed process of infectious disease transmission, because It is determined for incidence by many factors, being at any time can be changed.
Invention content
To solve the above problems, the present invention provides a kind of a kind of kinetic simulations based on transmission on complex network Type, can realize the dynamic change of transmission model, and realize the simulation analysis of transmission situation.
To achieve the above object, the technical solution taken of the present invention is:
Based on a kind of kinetic model of transmission on complex network, including kinetic model and in kinetic simulation The virtual actuator and virtual-sensor being inserted into type, the virtual actuator can be decomposed into design variable, set for inputting Count the parameter of target and design constraint, all design variables, design object and design constraint with simulation analysis module Middle coherent element has direct or indirect correspondence;The virtual-sensor is can obtaining of being inserted into kinetic model Take the logic unit of the target of corresponding result or information.
Preferably, the kinetic model is built by following steps:
S1, the parameter request according to transmission build transmission physical model by Simulink, obtain hard spot text Part includes at least the location information of each hard spot of the transmission physical model in hard spot file;
S2, the coordinate values for reading each hard spot in hard spot file form a revisable hard spot table;
S3, according to hard spot table, establish a hard spot transmission model, hard spot transmission model includes transmission All hard spot coordinates;
S4, parameterized treatment is carried out to the hard spot transmission model, makes the hard spot transmission model and hard spot Table establishes association, and issues associated each hard spot in hard spot transmission model;
S5, according to hard spot transmission model, the transmission model of various people is established, per the transmission of class crowd Corresponding portion hard spot in hard spot of the model including the publication, and keep corresponding incidence relation;
S6, the detailed digital-to-analogue that the transmission model per class crowd is obtained according to the transmission model per class crowd;
S7, transmission dotted line DMU models are established, and the detailed digital-to-analogue decoration of the transmission model of every class crowd is arrived On the corresponding dotted line component of transmission dotted line DMU models, the parametrization DMU models of transmission are obtained;
S8, virtual-sensor and virtual actuator are inserted into the parametrization DMU models of the transmission of gained, and established Between each element in virtual actuator and transmission dotted line DMU models, between virtual actuator and simulation analysis module, it is empty Between each element in plan sensor and transmission dotted line DMU models, between virtual-sensor and simulation analysis module, i.e., .
Preferably, each element in virtual actuator the driving Parameters variation, with transmission dotted line DMU models is established After relationship, parameter is changed in specified range, so as to driving simulation analysis module for different parameters into Row, which calculates, to be solved;Result is fed back into simulation analysis module, the simulation analysis module automatically extracts data to virtual-sensor, The virtual-sensor shows result.
Preferably, the hard spot table include each hard spot fix name and the corresponding coordinate values of each hard spot and In distance value between two neighboring coordinate.
Preferably, the hard spot table is established by following steps:
The coordinate values that each hard spot in the hard spot file is read using Matlab are imported in an EXCEL file, described Storage has the distance between each hard spot title, coordinate values and two neighboring coordinate in first list of EXCEL file; Hard spot fix name is placed in the first row of the second list of the EXCEL file, secondary series is linked in the first list accordingly Coordinate values, third row are connected to the distance between corresponding two coordinates in the first list, and the EXCEL file is The revisable hard spot table.
Preferably, the step S4 the specific steps are:
Using the parameter input function of CATIA softwares by the fix name in the hard spot table and its numerical value with length parameter Form import in the hard spot transmission model;
The hard spot table is imported into the hard spot disease in the form of designing table using the design table tool of CATIA softwares Propagation model, when importing, which indicates, imports hard spot table the second list of EXCEL file;
The coordinate values of each hard spot in hard spot transmission model are changed into using the formula editors tool of CATIA softwares Corresponding design parameter;
Each hard spot in the hard spot transmission model is issued using the publishing tool of CATIA softwares.
The invention has the advantages that:
It can realize the dynamic change of transmission model,;By customized virtual-sensor, virtual actuator and imitate The design of true analysis module realizes the simulation analysis of transmission situation while being designed.
Specific embodiment
In order to which objects and advantages of the present invention are more clearly understood, the present invention is carried out with reference to embodiments further It is described in detail.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to limit this hair It is bright.
An embodiment of the present invention provides a kind of a kind of kinetic model based on transmission on complex network, including power Model and the virtual actuator and virtual-sensor be inserted into kinetic model are learned, the virtual actuator is used to input Design variable, design object and the parameter of design constraint, all design variables, design object and design can be decomposed into Constraint has direct or indirect correspondence with coherent element in simulation analysis module;The virtual-sensor is in power Learn the logic unit for the target that can obtain corresponding result or information being inserted into model.
The kinetic model is built by following steps:
S1, the parameter request according to transmission build transmission physical model by Simulink, obtain hard spot text Part includes at least the location information of each hard spot of the transmission physical model in hard spot file;
S2, the coordinate values for reading each hard spot in hard spot file form a revisable hard spot table;
S3, according to hard spot table, establish a hard spot transmission model, hard spot transmission model includes transmission All hard spot coordinates;
S4, parameterized treatment is carried out to the hard spot transmission model, makes the hard spot transmission model and hard spot Table establishes association, and issues associated each hard spot in hard spot transmission model;
S5, according to hard spot transmission model, the transmission model of various people is established, per the transmission of class crowd Corresponding portion hard spot in hard spot of the model including the publication, and keep corresponding incidence relation;
S6, the detailed digital-to-analogue that the transmission model per class crowd is obtained according to the transmission model per class crowd;
S7, transmission dotted line DMU models are established, and the detailed digital-to-analogue decoration of the transmission model of every class crowd is arrived On the corresponding dotted line component of transmission dotted line DMU models, the parametrization DMU models of transmission are obtained;
S8, virtual-sensor and virtual actuator are inserted into the parametrization DMU models of the transmission of gained, and established Between each element in virtual actuator and transmission dotted line DMU models, between virtual actuator and simulation analysis module, it is empty Between each element in plan sensor and transmission dotted line DMU models, between virtual-sensor and simulation analysis module, i.e., .
After each element opening relationships in virtual actuator the driving Parameters variation, with transmission dotted line DMU models, Parameter is changed in specified range, for different parameters calculate so as to driving simulation analysis module and ask Solution;Result is fed back into simulation analysis module, the simulation analysis module automatically extracts data to virtual-sensor, described virtual Sensor shows result.
The hard spot table includes each hard spot fix name and the corresponding coordinate values of each hard spot and adjacent two In distance value between a coordinate.
The hard spot table is established by following steps:
The coordinate values that each hard spot in the hard spot file is read using Matlab are imported in an EXCEL file, described Storage has the distance between each hard spot title, coordinate values and two neighboring coordinate in first list of EXCEL file; Hard spot fix name is placed in the first row of the second list of the EXCEL file, secondary series is linked in the first list accordingly Coordinate values, third row are connected to the distance between corresponding two coordinates in the first list, and the EXCEL file is The revisable hard spot table.
Preferably, the step S4 the specific steps are:
Using the parameter input function of CATIA softwares by the fix name in the hard spot table and its numerical value with length parameter Form import in the hard spot transmission model;
The hard spot table is imported into the hard spot disease in the form of designing table using the design table tool of CATIA softwares Propagation model, when importing, which indicates, imports hard spot table the second list of EXCEL file;
The coordinate values of each hard spot in hard spot transmission model are changed into using the formula editors tool of CATIA softwares Corresponding design parameter;
Each hard spot in the hard spot transmission model is issued using the publishing tool of CATIA softwares.
It the above is only the preferred embodiment of the present invention, it is noted that those skilled in the art are come It says, without departing from the principle of the present invention, several improvements and modifications can also be made, these improvements and modifications also should be regarded as Protection scope of the present invention.

Claims (6)

1. a kind of kinetic model based on transmission on complex network, which is characterized in that including kinetic model, Yi Ji The virtual actuator and virtual-sensor being inserted into kinetic model, the virtual actuator can be decomposed into design for inputting Variable, design object and the parameter of design constraint, all design variables, design object and design constraint divide with emulation Coherent element has direct or indirect correspondence in analysis module;The virtual-sensor is inserted into kinetic model The logic unit of the target of corresponding result or information can be obtained.
2. a kind of kinetic model as described in claim 1 based on transmission on complex network, which is characterized in that described Kinetic model is built by following steps:
S1, the parameter request according to transmission build transmission physical model by Simulink, obtain hard spot file, Including at least the location information of each hard spot of the transmission physical model in hard spot file;
S2, the coordinate values for reading each hard spot in hard spot file form a revisable hard spot table;
S3, according to hard spot table, establish a hard spot transmission model, hard spot transmission model includes all of transmission Hard spot coordinate;
S4, parameterized treatment is carried out to the hard spot transmission model, the hard spot transmission model is made to be built with hard spot table Vertical association, and issue associated each hard spot in hard spot transmission model;
S5, according to hard spot transmission model, the transmission model of various people is established, per the transmission model of class crowd Corresponding portion hard spot in hard spot including the publication, and keep corresponding incidence relation;
S6, the detailed digital-to-analogue that the transmission model per class crowd is obtained according to the transmission model per class crowd;
S7, transmission dotted line DMU models are established, and the detailed digital-to-analogue of the transmission model of every class crowd is decorated to disease On the corresponding dotted line component for propagating dotted line DMU models, the parametrization DMU models of transmission are obtained;
S8, virtual-sensor and virtual actuator are inserted into the parametrization DMU models of the transmission of gained, and established virtual Between each element in actuator and transmission dotted line DMU models, between virtual actuator and simulation analysis module, virtual pass Between each element in sensor and transmission dotted line DMU models, between virtual-sensor and simulation analysis module to get.
3. a kind of kinetic model as described in claim 1 based on transmission on complex network, which is characterized in that described After each element opening relationships in virtual actuator driving Parameters variation, with transmission dotted line DMU models, in specified range It is interior that parameter is changed, so as to driving simulation analysis module calculating solution is carried out for different parameters;Result is anti- It feeds simulation analysis module, the simulation analysis module automatically extracts data to virtual-sensor, and the virtual-sensor is shown As a result.
4. a kind of kinetic model as described in claim 1 based on transmission on complex network, which is characterized in that described Hard spot table include between each hard spot fix name and the corresponding coordinate values of each hard spot and two neighboring coordinate Distance value.
5. a kind of kinetic model as described in claim 1 based on transmission on complex network, which is characterized in that described Hard spot table is established by following steps:
The coordinate values that each hard spot in the hard spot file is read using Matlab are imported in an EXCEL file, in the EXCEL Storage has the distance between each hard spot title, coordinate values and two neighboring coordinate in first list of file;Institute The first row for stating the second list of EXCEL file places hard spot fix name, and secondary series is linked in the first list and sits accordingly Numerical value is marked, third row are connected to the distance between corresponding two coordinates in the first list, and the EXCEL file is described Revisable hard spot table.
6. a kind of kinetic model as described in claim 1 based on transmission on complex network, which is characterized in that described Step S4 the specific steps are:
Using the parameter input function of CATIA softwares by the fix name in the hard spot table and its numerical value with the shape of length parameter Formula is imported in the hard spot transmission model;
The hard spot table is imported into the hard spot transmission in the form of designing table using the design table tool of CATIA softwares Model, when importing, which indicates, imports hard spot table the second list of EXCEL file;
The coordinate values of each hard spot in hard spot transmission model are changed into accordingly using the formula editors tool of CATIA softwares Design parameter;
Each hard spot in the hard spot transmission model is issued using the publishing tool of CATIA softwares.
CN201810026208.9A 2018-01-05 2018-01-05 A kind of kinetic model based on transmission on complex network Pending CN108269617A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109065179A (en) * 2018-08-22 2018-12-21 昆明理工大学 Dynamic Simulation Method when a kind of sky of disease infectious process

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160140311A1 (en) * 2014-11-18 2016-05-19 Mastercard International Incorporated System and method for conducting real time active surveilance of disease outbreak
CN105893657A (en) * 2016-03-20 2016-08-24 河南理工大学 New type simulation method for spatial diffusion of infectious diseases
CN106027513A (en) * 2016-05-15 2016-10-12 广东技术师范学院 Method for analyzing propagation characteristics of computer virus in SDN mobile environment
CN107436964A (en) * 2017-01-08 2017-12-05 西安科技大学 A kind of method of the evolution mechanism simulation analysis of miner's unsafe acts

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160140311A1 (en) * 2014-11-18 2016-05-19 Mastercard International Incorporated System and method for conducting real time active surveilance of disease outbreak
CN105893657A (en) * 2016-03-20 2016-08-24 河南理工大学 New type simulation method for spatial diffusion of infectious diseases
CN106027513A (en) * 2016-05-15 2016-10-12 广东技术师范学院 Method for analyzing propagation characteristics of computer virus in SDN mobile environment
CN107436964A (en) * 2017-01-08 2017-12-05 西安科技大学 A kind of method of the evolution mechanism simulation analysis of miner's unsafe acts

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109065179A (en) * 2018-08-22 2018-12-21 昆明理工大学 Dynamic Simulation Method when a kind of sky of disease infectious process
CN109065179B (en) * 2018-08-22 2021-10-22 昆明理工大学 Space-time dynamic simulation method for disease infection process

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