CN112966866A - Water resource bearing capacity evaluation method based on optimized configuration - Google Patents
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Abstract
The invention relates to the field of water resource bearing capacity evaluation, in particular to a water resource bearing capacity evaluation method based on optimized configuration, which comprises the following steps: generating a water resource bearing capacity associated factor library, and establishing an association relation between each water resource associated factor and the water resource bearing capacity; establishing a water resource bearing capacity analysis model based on the incidence relation between water resource incidence factors and water resource bearing capacity by taking 'the maximum available water resource quantity of different water quality categories' and 'the supportable population of a drainage basin water resource system' as objective functions and a water quality equation and an ecological environment water demand equation as constraint conditions; inserting a virtual sensor and a virtual actuator into the water resource bearing capacity analysis model; based on the change of the driving parameters of the virtual actuator, the driving simulation analysis module carries out calculation and solution on different parameters to obtain target parameters, and the target parameters are automatically displayed through the virtual sensor. The invention can greatly reduce the calculated amount and improve the accuracy of the bearing capacity evaluation result.
Description
Technical Field
The invention relates to the field of water resource bearing capacity evaluation, in particular to a water resource bearing capacity evaluation method based on optimized configuration.
Background
Water resource is an important natural resource and is closely related to regional economic development and people's production and life. With the rapid development of social production and improvement of living conditions, the water resource shortage, water environment deterioration and ecological imbalance caused by the rapid increase of industrial and agricultural water and the expansion of population are seriously threatened to the survival and development of human; the shortage of water resources and the water pollution become severe day by day, which will seriously restrict the development of the region. To fundamentally solve the contradiction between water supply and demand and ensure water safety, the local water resource bearing capacity must be studied.
The water resource bearing capacity is the organic combination of bearing capacity, water environment and water ecology, and comprehensively reflects the social attribute, resource attribute and environmental value of the water body. At present, fuzzy comprehensive evaluation, a system engineering principle, multi-target analysis and the like are mostly adopted for evaluating the bearing capacity of water resources, and the defects of large calculated amount and low accuracy are generally existed.
Disclosure of Invention
In order to solve the problems, the invention provides a water resource bearing capacity evaluation method based on optimized configuration, which can greatly reduce the calculated amount and improve the accuracy of the bearing capacity evaluation result.
In order to achieve the purpose, the invention adopts the technical scheme that:
a water resource bearing capacity evaluation method based on optimized configuration comprises the following steps:
s1, generating a water resource bearing capacity correlation factor library, and constructing a correlation between each water resource correlation factor and the water resource bearing capacity;
s2, constructing a water resource bearing capacity analysis model based on the incidence relation between water resource incidence factors and water resource bearing capacity by taking the maximum available water resource quantity of different water quality types and the supportable population of a basin water resource system as objective functions and the water quality equation and the ecological environment water demand equation as constraint conditions;
s3, inserting a virtual sensor and a virtual actuator into the water resource bearing capacity analysis model;
s4, based on the change of the driving parameters of the virtual actuator, after the relation is established between the change of the driving parameters and each element in the water resource bearing capacity analysis model, the parameters are changed within a specified range, so that the simulation analysis module can be driven to calculate and solve different parameters to obtain target parameters, the simulation analysis module automatically extracts the target parameters to the virtual sensor, and the virtual sensor automatically displays the target parameters.
Further, in step S1, crawling of the water resource bearing capacity related factors carried in the historical water resource bearing capacity research paper is realized based on the web crawler module, and a water resource bearing capacity related factor library is generated.
Further, in step S1, crawling of the association relationship between the water resource association factors and the water resource bearing capacity carried in the historical water resource bearing capacity research paper is first implemented based on the web crawler module, and then the establishment of the association relationship between each water resource association factor and the water resource bearing capacity is implemented, where the association relationship includes a single-factor association relationship and a multi-factor association relationship.
Further, the virtual sensor is a logic unit which is inserted into the water resource bearing capacity analysis model and can obtain corresponding results or target information.
Further, the virtual actuator is used for inputting the currently collected water resource bearing capacity correlation factor, and the water resource bearing capacity correlation factor and the related element in the simulation analysis module have a direct or indirect corresponding relation.
Further, still include: and configuring a corresponding water resource bearing capacity factor acquisition module based on the local environmental characteristics to realize the acquisition of the water resource bearing capacity factors.
Further, the method also comprises the step of predicting the water resource bearing capacity according to the target parameters based on a Support Vector Machine (SVM).
The invention has the following beneficial effects:
the historical research results are fully utilized to realize the construction of the water resource bearing capacity associated factor library and the association relation between each water resource associated factor and the water resource bearing capacity, so that the calculated amount is greatly reduced; meanwhile, a water quality equation, an ecological environment water demand equation and local environment characteristics are fully considered, so that the accuracy of an evaluation result is improved; by the aid of the self-defined virtual sensor, the virtual actuator and the simulation analysis module, target parameters and other parameters related to the target parameters are directly obtained, and calculated amount is further reduced.
Drawings
Fig. 1 is a flowchart of a water resource bearing capacity evaluation method based on optimized configuration in embodiment 1 of the present invention.
Fig. 2 is a flowchart of a water resource bearing capacity evaluation method based on optimized configuration in embodiment 2 of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
Example 1
As shown in fig. 1, a method for evaluating the bearing capacity of water resources based on optimized configuration includes the following steps:
s1, generating a water resource bearing capacity correlation factor library, and constructing a correlation between each water resource correlation factor and the water resource bearing capacity;
s2, constructing a water resource bearing capacity analysis model, specifically, constructing the water resource bearing capacity analysis model based on the incidence relation between the water resource incidence factors and the water resource bearing capacity by taking the maximum available water resource quantity of different water quality types and the supportable population of a drainage basin water resource system as objective functions and taking a water quality equation and an ecological environment water demand equation as constraint conditions;
s3, inserting a virtual sensor and a virtual actuator into the water resource bearing capacity analysis model;
s4, based on the change of the drive parameters of the virtual actuator, the drive simulation analysis module carries out calculation and solution on different parameters to obtain target parameters, and the target parameters are directly displayed through the virtual sensor; specifically, based on the change of the driving parameters of the virtual actuator, after the relation is established between the driving parameters and each element in the water resource bearing capacity analysis model, the parameters are changed within a specified range, so that the simulation analysis module can be driven to calculate and solve different parameters to obtain target parameters, the simulation analysis module automatically extracts the target parameters to the virtual sensor, and the virtual sensor automatically displays the target parameters.
In this embodiment, in the step S1, crawling of the water resource bearing capacity related factors carried in the historical water resource bearing capacity research paper is realized based on the web crawler module, and a water resource bearing capacity related factor library is generated.
In this embodiment, in step S1, crawling of the association relationship between the water resource association factors and the water resource bearing capacity carried in the historical water resource bearing capacity research paper is first implemented based on the web crawler module, and then the establishment of the association relationship between each water resource association factor and the water resource bearing capacity is implemented, where the association relationship includes a single-factor association relationship and a multi-factor association relationship.
In this embodiment, the virtual sensor is a logic unit that is inserted into the water resource bearing capacity analysis model and can acquire corresponding results or target information.
In this embodiment, the virtual actuator is configured to input a currently collected water resource bearing capacity correlation factor, where the water resource bearing capacity correlation factor and a relevant element in the simulation analysis module have a direct or indirect correspondence.
In this embodiment, the method further includes: and configuring a corresponding water resource bearing capacity factor acquisition module based on the local environmental characteristics to realize the acquisition of the water resource bearing capacity factors.
Example 2
As shown in fig. 2, a method for evaluating the bearing capacity of water resources based on optimized configuration includes the following steps:
s1, generating a water resource bearing capacity correlation factor library, and constructing a correlation between each water resource correlation factor and the water resource bearing capacity;
s2, constructing a water resource bearing capacity analysis model, specifically, constructing the water resource bearing capacity analysis model based on the incidence relation between the water resource incidence factors and the water resource bearing capacity by taking the maximum available water resource quantity of different water quality types and the supportable population of a drainage basin water resource system as objective functions and taking a water quality equation and an ecological environment water demand equation as constraint conditions;
s3, inserting a virtual sensor and a virtual actuator into the water resource bearing capacity analysis model;
s4, based on the change of the drive parameters of the virtual actuator, the drive simulation analysis module carries out calculation and solution on different parameters to obtain target parameters, and the target parameters are directly displayed through the virtual sensor; specifically, based on the change of the driving parameters of the virtual actuator, after the relation is established between the driving parameters and each element in the water resource bearing capacity analysis model, the parameters are changed within a specified range, so that the simulation analysis module can be driven to calculate and solve different parameters to obtain target parameters, the simulation analysis module automatically extracts the target parameters to the virtual sensor, and the virtual sensor automatically displays the target parameters;
and S5, predicting the water resource bearing capacity according to the target parameters based on a Support Vector Machine (SVM).
In this embodiment, in the step S1, crawling of the water resource bearing capacity related factors carried in the historical water resource bearing capacity research paper is realized based on the web crawler module, and a water resource bearing capacity related factor library is generated.
In this embodiment, in step S1, crawling of the association relationship between the water resource association factors and the water resource bearing capacity carried in the historical water resource bearing capacity research paper is first implemented based on the web crawler module, and then the establishment of the association relationship between each water resource association factor and the water resource bearing capacity is implemented, where the association relationship includes a single-factor association relationship and a multi-factor association relationship.
In this embodiment, the virtual sensor is a logic unit that is inserted into the water resource bearing capacity analysis model and can acquire corresponding results or target information.
In this embodiment, the virtual actuator is configured to input a currently collected water resource bearing capacity correlation factor, where the water resource bearing capacity correlation factor and a relevant element in the simulation analysis module have a direct or indirect correspondence.
In this embodiment, the method further includes: and configuring a corresponding water resource bearing capacity factor acquisition module based on the local environmental characteristics to realize the acquisition of the water resource bearing capacity factors.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (7)
1. A water resource bearing capacity evaluation method based on optimized configuration is characterized by comprising the following steps: the method comprises the following steps:
s1, generating a water resource bearing capacity correlation factor library, and constructing a correlation between each water resource correlation factor and the water resource bearing capacity;
s2, constructing a water resource bearing capacity analysis model based on the incidence relation between water resource incidence factors and water resource bearing capacity by taking the maximum available water resource quantity of different water quality types and the supportable population of a basin water resource system as objective functions and the water quality equation and the ecological environment water demand equation as constraint conditions;
s3, inserting a virtual sensor and a virtual actuator into the water resource bearing capacity analysis model;
s4, based on the change of the driving parameters of the virtual actuator, after the relation is established between the change of the driving parameters and each element in the water resource bearing capacity analysis model, the parameters are changed within a specified range, so that the simulation analysis module can be driven to calculate and solve different parameters to obtain target parameters, the simulation analysis module automatically extracts the target parameters to the virtual sensor, and the virtual sensor automatically displays the target parameters.
2. The method for evaluating the bearing capacity of the water resources based on the optimized configuration as claimed in claim 1, wherein: in the step S1, crawling of the water resource bearing capacity related factors carried in the historical water resource bearing capacity research paper is realized based on the web crawler module, and a water resource bearing capacity related factor library is generated.
3. The method for evaluating the bearing capacity of the water resources based on the optimized configuration as claimed in claim 1, wherein: in the step S1, crawling of the association relationship between the water resource association factors and the water resource bearing capacity carried in the historical water resource bearing capacity research paper is first realized based on the web crawler module, and then the establishment of the association relationship between each water resource association factor and the water resource bearing capacity is realized, where the association relationship includes a single-factor association relationship and a multi-factor association relationship.
4. The method for evaluating the bearing capacity of the water resources based on the optimized configuration as claimed in claim 1, wherein: the virtual sensor is a logic unit which is inserted into the water resource bearing capacity analysis model and can acquire corresponding results or target information.
5. The method for evaluating the bearing capacity of the water resources based on the optimized configuration as claimed in claim 1, wherein: the virtual actuator is used for inputting the currently collected water resource bearing capacity correlation factors, and the water resource bearing capacity correlation factors and the relevant elements in the simulation analysis module have direct or indirect corresponding relations.
6. The method for evaluating the bearing capacity of the water resources based on the optimized configuration as claimed in claim 1, wherein: further comprising: and configuring a corresponding water resource bearing capacity factor acquisition module based on the local environmental characteristics to realize the acquisition of the water resource bearing capacity factors.
7. The method for evaluating the bearing capacity of the water resources based on the optimized configuration as claimed in claim 1, wherein: and the method also comprises the step of predicting the water resource bearing capacity according to the target parameters based on the support vector machine model.
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