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 PDFInfo
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- 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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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
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.
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Cited By (1)
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)
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 |
-
2018
- 2018-01-05 CN CN201810026208.9A patent/CN108269617A/en active Pending
Patent Citations (4)
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)
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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