CN116011745B

CN116011745B - Ecological restoration scheme optimization method and system based on cloud service

Info

Publication number: CN116011745B
Application number: CN202211641770.5A
Authority: CN
Inventors: 徐云和; 徐忠建; 朱必亮; 姬炜
Original assignee: Speed China Technology Co Ltd
Current assignee: Speed China Technology Co Ltd
Priority date: 2022-12-20
Filing date: 2022-12-20
Publication date: 2024-02-13
Anticipated expiration: 2042-12-20
Also published as: CN116011745A

Abstract

The invention provides an ecological restoration scheme optimizing method and system based on cloud service, which relate to the technical field of data processing, and are used for carrying out multi-class ecological data acquisition on an area to be restored, determining multi-class ecological damage degree analysis results based on multi-class ecological index parameter sets, further carrying out result comprehensive analysis, determining early warning information and an ecological restoration scheme set based on the comprehensive ecological damage degree analysis results, constructing a multi-purpose optimizing rule to carry out ecological restoration scheme set optimizing, obtaining an optimal ecological restoration scheme to carry out ecological restoration, solving the technical problems that the setting method of the ecological restoration scheme in the prior art is insufficient in intelligence and depends on expert experience to assist in determining, a certain subjectivity exists, meanwhile, the finally determined scheme is insufficient in fit with the area to be restored, and restoration expected value cannot be achieved.

Description

Ecological restoration scheme optimization method and system based on cloud service

Technical Field

The invention relates to the technical field of data processing, in particular to an ecological restoration scheme optimization method and system based on cloud service.

Background

In order to ensure stable and sustainable development of the ecological system, index detection can be carried out on the ecological area regularly to determine the damaged ecological area, and the ecological system structure is possibly changed due to human factors or natural factors, so that the ecological chain is broken or the system function is lost or degenerated.

At present, field investigation is mainly carried out by organizing technicians to the field, restoration scheme setting is carried out based on real-time data, and an adaptive ecological restoration scheme is determined by referring to ecological characteristics and expert experience, so that the determined ecological restoration scheme cannot meet expected requirements, and a certain liftable space exists.

In the prior art, the setting method of the ecological restoration scheme is insufficient in intelligence and depends on expert experience to assist in determination, so that certain subjectivity exists, and meanwhile, the finally determined scheme is insufficient in degree of fit with the area to be restored, and the restoration expected value cannot be reached.

Disclosure of Invention

The application provides an ecological restoration scheme optimization method and system based on cloud service, which are used for solving the technical problems that in the prior art, the setting method of an ecological restoration scheme is insufficient in intelligence, the scheme is determined in an auxiliary manner by means of expert experience, a certain subjectivity exists, and meanwhile, the finally determined scheme is insufficient in fit with a region to be restored, and a restoration expected value cannot be achieved.

In view of the above problems, the application provides an ecological restoration scheme optimization method and system based on cloud service.

In a first aspect, the present application provides a cloud service-based ecological restoration scheme optimization method, where the method includes:

based on a plurality of ecological indexes, acquiring ecological data of an area to be repaired to obtain an ecological index parameter set, wherein the ecological index parameter set comprises a class-one ecological index parameter set, a class-two ecological index parameter set and three ecological index parameter sets;

based on cloud service, the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set are respectively input into a first-class damage degree analysis branch, a second-class damage degree analysis branch and a third-class damage degree analysis branch in an ecological damage degree analysis model to obtain a first-class ecological damage degree analysis result, a second-class ecological damage degree analysis result and a third-class ecological damage degree analysis result;

inputting the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result into a comprehensive damage degree analysis unit in the ecological damage degree analysis model to obtain a comprehensive ecological damage degree analysis result;

Based on cloud service, inputting the comprehensive ecological damage degree analysis result into an ecological restoration database to obtain early warning information and an ecological restoration scheme set, wherein the ecological restoration scheme set comprises a plurality of ecological restoration schemes;

carrying out early warning according to the early warning information, and constructing a multi-purpose optimizing rule according to the analysis results of the first-class ecological damage degree, the second-class ecological damage degree and the three-class ecological damage degree;

and optimizing in the ecological restoration scheme set by adopting the multi-purpose optimization rule to obtain an optimal ecological restoration scheme, and performing ecological restoration on the area to be restored.

In a second aspect, the present application provides an ecological restoration scheme optimization system based on cloud services, the system comprising:

the parameter acquisition module is used for acquiring ecological data of the area to be repaired based on a plurality of ecological indexes to obtain an ecological index parameter set, wherein the ecological index parameter set comprises a class-I ecological index parameter set, a class-II ecological index parameter set and three class-I ecological index parameter sets;

the branch analysis result acquisition module is used for respectively inputting the first class ecological index parameter set, the second class ecological index parameter set and the third class ecological index parameter set into a first class damage degree analysis branch, a second class damage degree analysis branch and a third class damage degree analysis branch in the ecological damage degree analysis model based on cloud service to obtain a first class ecological damage degree analysis result, a second class ecological damage degree analysis result and a third class ecological damage degree analysis result;

The comprehensive analysis result acquisition module is used for inputting the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result into a comprehensive damage degree analysis unit in the ecological damage degree analysis model to obtain a comprehensive ecological damage degree analysis result;

the early warning repair information acquisition module is used for inputting the comprehensive ecological damage degree analysis result into an ecological repair database based on cloud service to obtain early warning information and an ecological repair scheme set, wherein the ecological repair scheme set comprises a plurality of ecological repair schemes;

the rule construction module is used for carrying out early warning according to the early warning information and constructing a multi-purpose optimizing rule according to the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the three-class ecological damage degree analysis result;

and the scheme optimizing module is used for optimizing in the ecological restoration scheme set by adopting the multi-purpose optimizing rule to obtain an optimal ecological restoration scheme and carrying out ecological restoration on the area to be restored.

One or more technical solutions provided in the present application have at least the following technical effects or advantages:

according to the ecological restoration scheme optimization method based on the cloud service, based on a plurality of ecological indexes, ecological data acquisition is carried out on an area to be restored to obtain an ecological index parameter set, based on the cloud service, the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set are respectively input into a first-class damage degree analysis branch, a second-class damage degree analysis branch and a third-class damage degree analysis branch in an ecological damage degree analysis model to obtain a first-class ecological damage degree analysis result, a second-class ecological damage degree analysis result and a third-class ecological damage degree analysis result, and comprehensive evaluation is carried out on the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result based on the comprehensive damage degree analysis unit to obtain a comprehensive ecological damage degree analysis result; based on cloud service, the comprehensive ecological damage degree analysis result is input into an ecological restoration database to obtain early warning information and an ecological restoration scheme set, early warning is carried out according to the early warning information, a multi-purpose optimizing rule is built, optimizing is carried out in the ecological restoration scheme set to obtain an optimal ecological restoration scheme, the ecological restoration of the area to be restored is carried out, the problem that in the prior art, the setting method of the ecological restoration scheme is insufficient in intelligence and is determined in an auxiliary mode by depending on expert experience, certain subjectivity exists, meanwhile, the finally determined scheme is insufficient in fit with the area to be restored, the technical problem that a restoration expected value cannot be achieved is solved, and the scheme fit is effectively improved and the ecological restoration effect is guaranteed through intelligent analysis and evaluation of multidimensional indexes and optimizing of the multi-adaptive scheme.

Drawings

Fig. 1 is a schematic flow chart of an ecological restoration scheme optimizing method based on cloud service;

fig. 2 is a schematic diagram of a process for obtaining analysis results of comprehensive ecological damage degree in an optimization method of an ecological restoration scheme based on cloud service;

fig. 3 is a schematic diagram of a process for acquiring early warning information and an ecological restoration scheme set in an ecological restoration scheme optimizing method based on cloud service;

fig. 4 is a schematic structural diagram of an ecological restoration scheme optimizing system based on cloud service.

Reference numerals illustrate: the system comprises a parameter acquisition module 11, a branch analysis result acquisition module 12, a comprehensive analysis result acquisition module 13, an early warning repair information acquisition module 14, a rule construction module 15 and a scheme optimizing module 16.

Detailed Description

According to the method and the system for optimizing the ecological restoration scheme based on the cloud service, multi-class ecological data acquisition is carried out on an area to be restored, multi-class ecological damage degree analysis results are determined based on multi-class ecological index parameter sets, further result comprehensive analysis is carried out, early warning information and the ecological restoration scheme set are determined based on the comprehensive ecological damage degree analysis results, multi-purpose optimizing rules are built for optimizing the ecological restoration scheme set, an optimal ecological restoration scheme is obtained for carrying out ecological restoration, the technical problems that in the prior art, the setting method of the ecological restoration scheme is insufficient in intelligence and is determined by assistance of expert experience, a certain subjectivity exists, meanwhile, the finally determined scheme is insufficient in fit with the area to be restored, and a restoration expected value cannot be achieved are solved.

Example 1

As shown in fig. 1, the application provides an ecological restoration scheme optimization method based on cloud service, which comprises the following steps:

step S100: based on a plurality of ecological indexes, acquiring ecological data of an area to be repaired to obtain an ecological index parameter set, wherein the ecological index parameter set comprises a class-one ecological index parameter set, a class-two ecological index parameter set and three ecological index parameter sets;

specifically, in order to ensure stable and sustainable development of an ecological system, index detection can be performed on an ecological area regularly to determine a damaged ecological area, and the ecological system structure is possibly changed due to human factors or natural factors, so that ecological chain breakage or system function is lost or degenerated.

Further, based on the multiple ecological indexes, ecological data of the area to be repaired is collected, and an ecological index parameter set is obtained, and step S100 of the present application further includes:

step S110: acquiring the ecological index set, wherein the ecological index set comprises an earth surface deformation index and an earth surface vegetation destruction index;

step S120: acquiring the second-class ecological index set, wherein the second-class ecological index set comprises an underground water level change index and an underground water pollution index;

step S130: acquiring the three ecological index sets, wherein the three ecological index sets comprise soil heavy metal pollution indexes and soil organic matter pollution indexes;

step S140: and according to the first-class ecological index set, the second-class ecological index set and the three-class ecological index set, acquiring the plurality of ecological indexes, and detecting the area to be repaired to acquire the ecological index parameter set.

Specifically, the surface deformation index is determined, evaluation is performed based on surface displacement, settlement, inclination, cracks and the like, the surface vegetation damage index is determined, evaluation is performed based on vegetation coverage ratio, vegetation damage area and the like, and the surface deformation index and the surface vegetation damage index are used as the ecological index set; determining the groundwater level change index, evaluating based on water level variation, water level gradient rate and the like, determining the groundwater pollution index, evaluating based on microbiota, compound content, toxic substances and the like, and taking the groundwater level change index and the groundwater pollution index as the second class ecological index set; determining the soil heavy metal pollution index, evaluating the soil organic pollution index based on the content of soil pH value, cadmium, mercury, zinc, nickel and the like, evaluating the soil organic pollution index based on degradable and non-degradable organic compounds existing in the soil, and taking the soil heavy metal pollution index and the soil organic pollution index as the three ecological index sets, wherein the method of sampling detection, automatic monitoring, remote sensing image monitoring and the like is preferred for collecting related index parameters.

And taking the first-class ecological index set, the second-class ecological index set and the third-class ecological index set as ecological detection evaluation indexes, collecting index parameters of the to-be-repaired area based on an adaptive index detection method, for example, detecting the surface deformation index based on a remote sensing image monitoring method, determining corresponding index parameters through multi-dimensional evaluation, ensuring the evaluation accuracy of the index parameters, respectively detecting and summarizing the indexes, and generating the ecological index parameter set. Illustratively, the ecological index parameter set may include an area percentage of the surface subsidence area, a percentage of heavy metal pollution exceeding a relevant standard in groundwater, and other ecological index parameters.

Step S200: based on cloud service, the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set are respectively input into a first-class damage degree analysis branch, a second-class damage degree analysis branch and a third-class damage degree analysis branch in an ecological damage degree analysis model to obtain a first-class ecological damage degree analysis result, a second-class ecological damage degree analysis result and a third-class ecological damage degree analysis result;

Specifically, collecting multiple types of sample ecological index parameter sets based on cloud service, extracting multiple types of ecological index parameter sets, performing damage level evaluation to determine multiple types of sample ecological index parameter sets, determining coordinate axes based on index dimensions, constructing a first coordinate system, inputting the multiple types of ecological index parameter sets into the first coordinate system, performing coordinate positioning to determine one type of coordinate points, performing matching marking on one type of coordinate points based on the multiple types of sample ecological index parameter sets, obtaining constructed one type of damage level analysis branches, performing coordinate positioning on the one type of ecological index parameter sets on the one type of damage level analysis branches, performing attribution division on positioning results based on a KNN algorithm, and determining one type of ecological damage level analysis results; similarly, a class II damage degree analysis branch is constructed, and the class II ecological damage degree analysis result corresponding to the class II ecological index parameter set is determined; and constructing three types of damage degree analysis branches, determining three types of damage degree analysis results corresponding to the three types of ecological index parameter sets, and tamping a foundation for subsequent comprehensive ecological damage degree analysis evaluation.

Further, the first class ecological index parameter set, the second class ecological index parameter set and the third class ecological index parameter set are respectively input into a first class damage degree analysis branch, a second class damage degree analysis branch and a third class damage degree analysis branch in the ecological damage degree analysis model to obtain a first class ecological damage degree analysis result, a second class ecological damage degree analysis result and a third class ecological damage degree analysis result, and step S200 of the present application further includes:

step S210: based on cloud service, acquiring a plurality of sample class-one ecological index parameter sets, a plurality of sample class-two ecological index parameter sets and a plurality of sample class-three ecological index parameter sets;

step S220: performing damage degree grade evaluation according to the plurality of sample class-one ecological index parameter sets, the plurality of sample class-two ecological index parameter sets and the plurality of sample class-three ecological index parameter sets to obtain a plurality of sample class-one ecological damage degree analysis results, a plurality of sample class-two ecological damage degree analysis results and a plurality of sample class-three ecological damage degree analysis results;

step S230: respectively constructing and obtaining a first coordinate system, a second coordinate system and a third coordinate system based on the first class ecological index set, the second class ecological index set and the three class ecological index sets;

Step S240: inputting the plurality of sample class-one ecological index parameter sets, the plurality of sample class-two ecological index parameter sets and the plurality of sample class-three ecological index parameter sets into the first coordinate system, the second coordinate system and the third coordinate system respectively to obtain a plurality of class-one sample coordinate points, a plurality of class-two sample coordinate points and a plurality of class-three sample coordinate points;

step S250: marking the plurality of sample coordinate points, the plurality of second-class sample coordinate points and the plurality of third-class sample coordinate points by adopting the plurality of sample first-class ecological damage degree analysis results, the plurality of sample second-class ecological damage degree analysis results and the plurality of sample third-class ecological damage degree analysis results to obtain the first-class damage degree analysis branch, the second-class damage degree analysis branch and the third-class damage degree analysis branch;

step S260: and respectively inputting the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set into the constructed first-class damage degree analysis branch, second-class damage degree analysis branch and third-class damage degree analysis branch to obtain the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result.

Specifically, the method comprises the steps of collecting index parameters based on cloud service, including a plurality of sample class-one ecological index parameter sets, a plurality of sample class-two ecological index parameter sets and a plurality of sample class-three ecological index parameter sets, defining ecological evaluation grades, determining multi-grade damage degree, defining grade intervals through expert evaluation, and respectively carrying out sample evaluation on the plurality of class-one ecological index parameter sets, the plurality of class-two ecological index parameter sets and the plurality of class-three ecological index parameter sets based on the multi-grade damage degree to determine a plurality of sample class-one ecological damage degree analysis results, a plurality of sample class-two ecological damage degree analysis results and a plurality of sample class-three ecological damage degree analysis results.

Further, based on the first class of ecological index sets, the surface deformation index and the surface vegetation destruction index are respectively used as a horizontal coordinate axis and a vertical coordinate axis, a first coordinate system is constructed, similarly, a coordinate axis is determined based on the inclusion index, and the second coordinate system and the third coordinate system are respectively constructed based on the second class of ecological index sets and the three classes of ecological index sets. Randomly extracting a group of sample index parameters based on a plurality of sample class-one ecological index parameter sets, positioning index parameters in the first coordinate system, determining corresponding sample coordinate points, respectively positioning coordinates of a plurality of samples to determine the plurality of class-one sample coordinate points, positioning index parameters of the plurality of sample class-two ecological index parameter sets in the second coordinate system based on the same method, and determining the plurality of class-two sample coordinate points; and positioning index parameters of the three types of ecological index parameter sets of the plurality of samples in the third coordinate system, and determining coordinate points of the plurality of three types of samples.

Based on the multiple sample class-ecological damage degree analysis results, the multiple sample class-ecological damage degree analysis results and the multiple sample class-three ecological damage degree analysis results, mapping and matching with the multiple class-sample coordinate points, the multiple class-sample coordinate points and the multiple class-three sample coordinate points, marking corresponding coordinate points based on the mapping results by taking the ecological damage degree analysis results as identification data, and taking a marked first coordinate system as the class-damage degree analysis branch; taking the marked second coordinate system as the second class damage degree analysis branch; the third coordinate system in which shoulder marking is completed analyzes branches as the three types of damage.

Inputting the class of ecological index parameter sets into the class of damage degree analysis branches, classifying index parameters based on a KNN algorithm, determining corresponding coordinate points in the first coordinate system, taking the coordinate points as central points, further defining measurement distances to determine an evaluation reference area, taking a multi-level of the ecological damage degree analysis result existing in the evaluation reference area as a K value, taking the most of the levels of samples in the area as attribution types, taking corresponding marking information as the class of ecological damage degree analysis result, and similarly analyzing the class of ecological index parameter sets and the class of ecological index parameter sets based on the class of damage degree analysis branches and the class of damage degree analysis branches, and determining the class of ecological damage degree analysis result and the class of damage degree analysis result so as to ensure the high precision of analysis results.

Further, the first class ecological index parameter set, the second class ecological index parameter set and the third class ecological index parameter set are respectively input into the constructed first class damage degree analysis branch, second class damage degree analysis branch and third class damage degree analysis branch to obtain the first class ecological damage degree analysis result, second class ecological damage degree analysis result and third class ecological damage degree analysis result, and step S260 of the present application further includes:

step S261: respectively inputting the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set into the constructed first-class damage degree analysis branch, second-class damage degree analysis branch and third-class damage degree analysis branch to obtain first-class coordinate points, second-class coordinate points and third-class coordinate points;

step S262: respectively acquiring K types of sample coordinate points, K types of sample coordinate points and K types of three types of sample coordinate points which are nearest to the types of coordinate points, the two types of sample coordinate points and the three types of sample coordinate points, and acquiring corresponding K types of sample ecological damage degree analysis results, K types of sample ecological damage degree analysis results and K types of sample ecological damage degree analysis results, wherein K is an odd number;

Step S263: obtaining the K sample class-ecological damage degree analysis results, the K sample class-ecological damage degree analysis results and the K sample class-ecological damage degree analysis results, wherein the sample class-ecological damage degree analysis results, the sample class-ecological damage degree analysis results and the sample class-ecological damage degree analysis results with highest occurrence frequency are used as the class-ecological damage degree analysis results, the class-ecological damage degree analysis results and the class-ecological damage degree analysis results.

Specifically, the ecological index parameter set is input into the constructed damage degree analysis branch, index parameter position positioning is carried out in the first coordinate system, and the coordinate points are determined; similarly, in the second class damage degree analysis branch, carrying out coordinate positioning on the second class ecological index parameters based on the second coordinate system, and determining the second class coordinate points; and determining the three coordinate points based on the three damage degree analysis branches. Defining a measurement distance by taking the coordinate points in the class-damage degree analysis branch as a central point, determining the K class-coordinate points which are nearest to the measurement distance, wherein K is an odd number, and acquiring K sample class-ecological damage degree analysis results marked by the K class-coordinate points; similarly, determining analysis results of the K class-II sample coordinate points corresponding to the class-II coordinate points and K class-II sample ecological damage degrees corresponding to the labels; and determining analysis results of three types of ecological damage degrees of the K three types of sample coordinate points corresponding to the three types of coordinate points and the K samples corresponding to the labels.

Further, taking the highest occurrence frequency as a coordinate point attribution rule, and extracting the highest occurrence frequency in the K sample class ecological damage degree analysis results as the class ecological damage degree analysis results corresponding to the class ecological index parameter set; extracting the highest occurrence frequency of the second-class ecological damage degree analysis results of the K samples, and taking the highest occurrence frequency as the second-class ecological damage degree analysis result corresponding to the second-class ecological index parameter set; and extracting the highest occurrence frequency of three types of ecological damage degree analysis results of the K samples, and taking the highest occurrence frequency as the three types of ecological damage degree analysis results corresponding to the three types of ecological index parameter sets, carrying out automatic classification on the samples to determine attribution of the indexes to be evaluated, and guaranteeing attribution results, namely the accuracy of the analysis results.

Step S300: inputting the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result into a comprehensive damage degree analysis unit in the ecological damage degree analysis model to obtain a comprehensive ecological damage degree analysis result;

specifically, the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result are used as three coordinate axes, a comprehensive coordinate system is constructed, a plurality of sample first-class ecological damage degree analysis results, a plurality of sample second-class ecological damage degree analysis results and a plurality of sample third-class ecological damage degree analysis results are combined, comprehensive analysis is carried out based on the combined results to determine a comprehensive evaluation result, further coordinate positioning is carried out in the comprehensive coordinate system, a plurality of sample comprehensive coordinate points are determined, corresponding identification is carried out on the comprehensive analysis result, the comprehensive damage degree analysis unit is formed, coordinate positioning is carried out on the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result based on the comprehensive damage degree analysis unit, attribution division is carried out on the positioning result, and the comprehensive ecological damage degree analysis result is determined.

Further, as shown in fig. 2, the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result are input into the comprehensive damage degree analysis unit in the ecological damage degree analysis model, and step S300 of the present application further includes:

step S310: combining to obtain a plurality of ecological damage degree analysis result sets according to the plurality of sample one-class ecological damage degree analysis results, the plurality of sample two-class ecological damage degree analysis results and the plurality of sample three-class ecological damage degree analysis results;

step S320: according to the multiple ecological damage degree analysis result sets, comprehensive ecological damage degree grade evaluation is carried out, and multiple sample comprehensive ecological damage degree analysis results are obtained;

step S330: constructing a comprehensive coordinate system based on the analysis results of the first class ecological damage degree, the analysis results of the second class ecological damage degree and the analysis results of the third class ecological damage degree;

step S340: inputting the analysis result sets of the multiple ecological damage degrees into the comprehensive coordinate system to obtain multiple sample comprehensive coordinate points;

step S350: marking the comprehensive coordinate points of the plurality of samples by adopting the comprehensive ecological damage degree analysis results of the plurality of samples to obtain the comprehensive damage degree analysis unit;

Step S360: inputting the analysis results of the first class ecological damage degree, the analysis results of the second class ecological damage degree and the analysis results of the third class ecological damage degree into the comprehensive damage degree analysis unit to obtain the analysis results of the comprehensive ecological damage degree.

Specifically, the multiple sample class-ecological damage degree analysis results and the multiple sample class-ecological damage degree analysis results are subjected to time sequence correspondence with the multiple sample class-ecological damage degree analysis results, the simultaneous sequence analysis results are combined, the multiple ecological damage degree analysis result sets are determined, a group of the multiple sample class-ecological damage degree analysis results, the single class-ecological damage degree analysis results and the single class-ecological damage degree analysis results are randomly extracted based on the multiple ecological damage degree analysis result sets, comprehensive ecological damage degree evaluation of a region is performed, comprehensive evaluation grade of class combination is determined, the single sample comprehensive ecological damage degree analysis results are obtained, and the multiple sample comprehensive ecological damage degree analysis results are determined based on the combination of the multiple ecological damage degree analysis results.

Further, the comprehensive coordinate system is constructed by taking the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result set and the third-class ecological damage degree analysis result as coordinate axes respectively, coordinate positioning is carried out in the comprehensive coordinate system based on the plurality of ecological damage degree analysis result sets respectively, the plurality of sample comprehensive coordinate points are determined, mapping matching is carried out on the plurality of sample comprehensive ecological damage degree analysis results and the plurality of sample comprehensive coordinate points, the analysis results are taken as identification data, the plurality of sample comprehensive coordinate points are marked based on the mapping results, and the marked coordinate area is taken as the comprehensive damage degree analysis unit.

And based on the comprehensive damage degree analysis unit, carrying out coordinate positioning on the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result, determining a comprehensive coordinate point, classifying the result again based on a KNN algorithm, taking the comprehensive coordinate point as a central point, further defining a measurement distance to determine an evaluation reference area, acquiring K sample comprehensive ecological damage degree analysis results marked in the evaluation reference area, taking the highest occurrence frequency as a attribution class, and taking corresponding marking information as the comprehensive ecological damage degree analysis result. According to the embodiment of the application, based on the designed double KNN algorithm, double evaluation analysis is carried out on the damage degree of the ecological environment according to the ecological index parameter set, so that intermediate evaluation errors can be effectively reduced, the evaluation accuracy of the ecological damage degree is effectively improved, and the fit degree of an evaluation result and the acquired index parameters is guaranteed.

Step S400: based on cloud service, inputting the comprehensive ecological damage degree analysis result into an ecological restoration database to obtain early warning information and an ecological restoration scheme set, wherein the ecological restoration scheme set comprises a plurality of ecological restoration schemes;

specifically, based on cloud service, corresponding early warning information is generated according to the comprehensive ecological damage degree analysis results of the plurality of samples, an adaptive restoration scheme is determined, a plurality of early warning information and a plurality of ecological restoration scheme sets are obtained, one ecological restoration scheme set comprises a plurality of ecological restoration schemes, the comprehensive ecological damage degree analysis results of the plurality of samples and the early warning information are associated and corresponding to the plurality of ecological restoration scheme sets to form an ecological restoration database, the comprehensive ecological damage degree analysis results are input into the ecological restoration database, information identification and matching are carried out by taking the comprehensive ecological damage degree analysis results as index targets, and the association information corresponding to the matching results is taken as the early warning information and the ecological restoration scheme set and is taken as preliminary screening information, so that basis is provided for optimizing a follow-up scheme.

Further, as shown in fig. 3, based on the cloud service, the comprehensive ecological damage degree analysis result is input into an ecological restoration database to obtain early warning information and an ecological restoration scheme set, and step S400 of the present application further includes:

Step S410: based on cloud service, formulating and acquiring a plurality of sample ecological restoration scheme sets according to analysis results of comprehensive ecological damage degrees of the plurality of samples;

step S420: acquiring different sample early warning information according to analysis results of comprehensive ecological damage degrees of the samples;

step S430: taking the analysis result of the comprehensive ecological damage degree of the plurality of samples as a data index, taking the ecological restoration scheme set of the plurality of samples and the early warning information of the plurality of samples as data elements, and constructing the ecological restoration database;

step S440: inputting the analysis result of the comprehensive ecological damage degree into the ecological restoration database to obtain the corresponding early warning information and ecological restoration scheme set.

Specifically, based on any one of the analysis results of the comprehensive ecological damage degree of the plurality of samples, a plurality of restoration schemes matched with the analysis results of the comprehensive ecological damage degree of the plurality of samples are called based on cloud service to be used as the sample ecological restoration scheme set, and the adaptive scheme is called for the analysis results of the comprehensive ecological damage degree of the plurality of samples to obtain the sample ecological restoration scheme set. Setting multi-stage early warning grades according to the severity of the comprehensive ecological damage degree analysis results of a plurality of samples, further taking the damage deviation degree as limiting information, making early warning rules, respectively determining corresponding early warning information according to the comprehensive ecological damage degree analysis results of the plurality of samples, taking the comprehensive ecological damage degree analysis results of the plurality of samples as early warning information of the plurality of samples, taking the comprehensive ecological damage degree analysis results of the plurality of samples as data indexes, carrying out data association correspondence on the ecological restoration scheme set of the plurality of samples and the early warning information of the plurality of samples as data elements, determining a plurality of groups of link sequences, constructing the ecological restoration database, and quickly acquiring early warning information and an adaptive restoration scheme by constructing the ecological restoration database, thereby improving analysis efficiency. And further inputting the analysis result of the comprehensive ecological damage degree into the ecological restoration database, identifying and matching the index targets of the comprehensive ecological damage degree, and determining the early warning information and the ecological restoration scheme set corresponding to the index targets, wherein the ecological restoration scheme set comprises a plurality of adaptive ecological restoration schemes, and determining the optimal restoration scheme based on the optimization.

Step S500: carrying out early warning according to the early warning information, and constructing a multi-purpose optimizing rule according to the analysis results of the first-class ecological damage degree, the second-class ecological damage degree and the three-class ecological damage degree;

step S600: and optimizing in the ecological restoration scheme set by adopting the multi-purpose optimization rule to obtain an optimal ecological restoration scheme, and performing ecological restoration on the area to be restored.

Specifically, the method comprises the steps of carrying out data matching on the comprehensive ecological damage degree analysis result based on the ecological restoration database, determining early warning information and the ecological restoration scheme set, carrying out early warning and warning based on the early warning information, randomly extracting a scheme based on the ecological restoration scheme set, determining one type of ecological restoration sub scheme, two types of ecological restoration sub schemes and three types of ecological restoration sub schemes, determining the fitting degree information of the sub schemes and the corresponding analysis result in the comprehensive ecological damage degree analysis result, further determining a plurality of types of index weight values based on the importance of indexes to the area to be restored, carrying out weighted calculation on the fitting degree information based on the index weight values, and determining the final scheme fitting degree as the multi-purpose optimizing rule.

Further, a scheme is randomly extracted as a current optimal solution based on the ecological restoration scheme set, first fitness information is calculated based on the multi-purpose optimizing rule, second fitness information is determined by extracting a scheme again, iterative replacement of the current optimal solution is performed by performing fitness information checking, the optimizing steps are repeated for a plurality of times until the preset iterative times are reached, the determined current optimal solution is used as the finally determined optimal ecological restoration scheme, ecological damage evaluation accuracy and visualization degree can be improved by performing sub-scheme optimizing, ecological restoration scheme formulation efficiency is improved, and ecological restoration accuracy and intelligence are improved by performing ecological restoration on the to-be-restored area based on the optimal ecological restoration scheme.

Further, according to the analysis result of the first class ecological damage degree, the analysis result of the second class ecological damage degree and the analysis result of the third class ecological damage degree, a multi-purpose optimizing rule is constructed, and step S500 of the present application further includes:

step S510: according to the importance of the first class ecological index set, the second class ecological index set and the three class ecological index sets to the area to be repaired, weight distribution is carried out, and a weight distribution result is obtained;

Step S520: acquiring a class-II ecological restoration sub-scheme, a class-II ecological restoration sub-scheme and three classes of ecological restoration sub-schemes in the ecological restoration scheme;

step S530: acquiring the agreements of the ecological restoration sub-schemes, the two-class ecological restoration sub-schemes, the three-class ecological restoration sub-schemes, the one-class ecological damage degree analysis result, the two-class ecological damage degree analysis result and the three-class ecological damage degree analysis result, and acquiring first agreements information, second agreements information and third agreements information;

step S540: and carrying out weighted calculation on the first fit degree information, the second fit degree information and the third fit degree information by adopting the weight distribution result to obtain fit degree information, and carrying out optimizing according to the fit degree information to obtain the multi-purpose optimizing rule.

Specifically, importance degree evaluation is performed on the first-class ecological index set, the second-class ecological index set and the third-class ecological index set of the to-be-repaired area, and when the to-be-repaired area is a forest area, the first-class ecological index set has the highest weight, the second-class ecological index set has the smallest weight, index weight distribution is performed based on live condition, and the weight distribution result is determined. Further randomly selecting a scheme based on the ecological restoration scheme set, extracting the one type of ecological restoration sub-scheme, the two types of ecological restoration sub-schemes and the three types of ecological restoration sub-schemes, respectively corresponding to the ecological index set category, and carrying out fitness analysis on the one type of ecological restoration sub-scheme and the one type of ecological damage degree analysis result to obtain the first fitness information; and similarly, acquiring the second fitness information and the third fitness information, wherein the fitness is in direct proportion to the recovery effect. And carrying out weighted calculation on the first fit degree information, the second fit degree information and the third fit degree information based on the weight distribution result, taking a calculation result as the fit degree information, respectively carrying out fit degree calculation on the ecological restoration scheme set based on the analysis step, taking the fit degree information as scheme optimizing basis, acquiring the multi-purpose optimizing rule, and carrying out scheme optimizing based on the scheme optimizing rule, so that rule universality and the order regularity of optimizing process can be effectively ensured.

Further, by adopting the multi-purpose optimizing rule, optimizing is performed in the ecological restoration scheme set to obtain an optimal ecological restoration scheme, and step S600 of the present application further includes:

step S610: randomly selecting a first ecological restoration scheme from the ecological restoration scheme set, and taking the first ecological restoration scheme as a current optimal solution;

step S620: acquiring first fitness information of the first ecological restoration scheme and the comprehensive ecological damage degree analysis result based on the multi-purpose optimizing rule;

step S630: randomly selecting a second ecological restoration scheme from the ecological restoration scheme set again;

step S640: acquiring second fitness information of the second ecological restoration scheme and the comprehensive ecological damage degree analysis result based on the multi-purpose optimizing rule;

step S650: judging whether the second fitness information is larger than the first fitness information, if so, taking the second ecological restoration scheme as a current optimal solution, and if not, taking the second ecological restoration scheme as the current optimal solution according to probability parameters, wherein the probability parameters are calculated by the following formula:

wherein P is a probability parameter, C is a constant, N is a positive integer, and K is a constant which decreases with the increase of iterative optimization times;

Step S660: and continuing iterative optimization until the preset iterative times are reached, and outputting the current optimal solution to obtain the optimal ecological restoration scheme.

Specifically, a scheme is randomly extracted as the first ecological restoration scheme based on the ecological restoration scheme set, the scheme is used as the current optimal solution, namely the current optimal scheme, and the first fitness information is determined by performing fitness calculation on the first ecological restoration scheme and the comprehensive ecological damage degree analysis result based on the multi-objective optimizing rule; and randomly extracting a scheme based on the ecological restoration scheme set again to serve as the second ecological restoration scheme, calculating the degree of fit of the second ecological restoration scheme and the comprehensive ecological damage degree analysis result based on the multi-purpose optimizing rule, determining the second degree of fit information, further performing proofreading analysis on the first degree of fit information and the second degree of fit information, and taking the second ecological restoration scheme as the current optimal solution when the second degree of fit information is larger than the first degree of fit information.

When the second fitness information is smaller than the first fitness information, in order to avoid the situation that the local fitness information is the largest and finally tends to the local optimal solution, whether a new solution is accepted is determined by carrying out probability parameter calculation, wherein a probability parameter calculation formula is as follows Wherein P is a probability parameter, C is a constant, N is a positive integer, preferably 1, K is a constant which decreases with increasing iterative optimization times, a number (0, 1) is randomly generated according to the probability parameter, whether the number is smaller than the probability parameter is judged, if so, the second ecological restoration scheme is determined to be the current optimal solution, and if not, the first restoration scheme is determined to be the current optimal solution. The probability parameter is reduced along with the increase of the optimizing iteration times, the probability parameter is selected according to the probability, the optimizing efficiency is improved, the local optimum is jumped out, and the global optimum is obtained. And repeating the optimizing iteration method for a plurality of times based on the scheme until the preset iteration times are reached, and taking the determined current optimal solution as the optimal ecological restoration scheme to ensure the suitability of the optimal ecological restoration scheme and the trend to be restored and ensure the restoration effect.

Example two

Based on the same inventive concept as the ecological restoration scheme optimization method based on the cloud service in the foregoing embodiment, as shown in fig. 4, the present application provides an ecological restoration scheme optimization system based on the cloud service, where the system includes:

the parameter acquisition module 11 is configured to acquire ecological data of an area to be repaired based on a plurality of ecological indexes, and obtain an ecological index parameter set, where the ecological index parameter set includes a class-one ecological index parameter set, a class-two ecological index parameter set, and three class-one ecological index parameter sets;

The branch analysis result acquisition module 12 is configured to input the first class ecological index parameter set, the second class ecological index parameter set and the third class ecological index parameter set into a first class damage degree analysis branch, a second class damage degree analysis branch and a third class damage degree analysis branch in an ecological damage degree analysis model respectively based on cloud services, so as to obtain a first class ecological damage degree analysis result, a second class ecological damage degree analysis result and a third class ecological damage degree analysis result;

the comprehensive analysis result acquisition module 13 is used for inputting the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result into a comprehensive damage degree analysis unit in the ecological damage degree analysis model to obtain a comprehensive ecological damage degree analysis result;

the early warning repair information acquisition module 14 is used for inputting the comprehensive ecological damage degree analysis result into an ecological repair database based on cloud service to obtain early warning information and an ecological repair scheme set, wherein the ecological repair scheme set comprises a plurality of ecological repair schemes;

The rule construction module 15 is used for carrying out early warning according to the early warning information, and constructing a multi-purpose optimizing rule according to the analysis result of the first-class ecological damage degree, the analysis result of the second-class ecological damage degree and the analysis result of the three-class ecological damage degree;

the scheme optimizing module 16 is configured to perform optimizing within the ecological restoration scheme set by using the multi-purpose optimizing rule, to obtain an optimal ecological restoration scheme, and perform ecological restoration on the area to be restored.

Further, the system further comprises:

the system comprises a class ecological index set acquisition module, a class ecological index set generation module and a class ecological index set generation module, wherein the class ecological index set acquisition module is used for acquiring the class ecological index set, and the class ecological index set comprises an earth surface deformation index and an earth surface vegetation destruction index;

the second-class ecological index set acquisition module is used for acquiring the second-class ecological index set, wherein the second-class ecological index set comprises an underground water level change index and an underground water pollution index;

the three-type ecological index set acquisition module is used for acquiring the three-type ecological index sets, wherein the three-type ecological index sets comprise soil heavy metal pollution indexes and soil organic matter pollution indexes;

The index parameter set acquisition module is used for acquiring the plurality of ecological indexes according to the first-class ecological index set, the second-class ecological index set and the three-class ecological index set, detecting the area to be repaired and acquiring the ecological index parameter set.

Further, the system further comprises:

the system comprises a sample parameter acquisition module, a cloud service acquisition module and a cloud service analysis module, wherein the sample parameter acquisition module is used for acquiring a plurality of sample class-one ecological index parameter sets, a plurality of sample class-two ecological index parameter sets and a plurality of sample class-three ecological index parameter sets;

the damage degree grade evaluation module is used for carrying out damage degree grade evaluation according to the plurality of sample class-one ecological index parameter sets, the plurality of sample class-two ecological index parameter sets and the plurality of sample class-three ecological index parameter sets to obtain a plurality of sample class-one ecological damage degree analysis results, a plurality of sample class-two ecological damage degree analysis results and a plurality of sample class-three ecological damage degree analysis results;

the coordinate system construction module is used for respectively constructing and obtaining a first coordinate system, a second coordinate system and a third coordinate system based on the first class ecological index set, the second class ecological index set and the three class ecological index sets;

The coordinate point acquisition module is used for respectively inputting the plurality of sample class-one ecological index parameter sets, the plurality of sample class-two ecological index parameter sets and the plurality of sample class-three ecological index parameter sets into the first coordinate system, the second coordinate system and the third coordinate system to obtain a plurality of class-one sample coordinate points, a plurality of class-two sample coordinate points and a plurality of class-three sample coordinate points;

the analysis branch acquisition module is used for marking the plurality of first-class sample coordinate points, the plurality of second-class sample coordinate points and the plurality of third-class sample coordinate points respectively by adopting the plurality of first-class ecological damage degree analysis results, the plurality of second-class ecological damage degree analysis results and the plurality of third-class ecological damage degree analysis results to obtain the first-class damage degree analysis branch, the second-class damage degree analysis branch and the third-class damage degree analysis branch;

the analysis result acquisition module is used for respectively inputting the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set into the constructed first-class damage degree analysis branch, the second-class damage degree analysis branch and the third-class damage degree analysis branch to obtain the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result.

Further, the system further comprises:

the sample coordinate point acquisition module is used for respectively inputting the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set into the constructed first-class damage degree analysis branch, the second-class damage degree analysis branch and the third-class damage degree analysis branch to obtain first-class coordinate points, second-class coordinate points and third-class coordinate points;

the sample analysis result acquisition module is used for respectively acquiring K types of sample coordinate points, K types of sample coordinate points and K types of three types of sample coordinate points which are nearest to the type coordinate points, the type coordinate points and the type coordinate points, and acquiring corresponding K types of sample ecological damage degree analysis results, K types of sample ecological damage degree analysis results and K types of sample ecological damage degree analysis results, wherein K is an odd number;

the analysis result determining module is used for obtaining the sample one-class ecological damage degree analysis result, the sample two-class ecological damage degree analysis result and the sample three-class ecological damage degree analysis result with highest occurrence frequency in the K sample one-class ecological damage degree analysis results, the sample two-class ecological damage degree analysis result and the sample three-class ecological damage degree analysis result, and the sample two-class ecological damage degree analysis result, the two-class ecological damage degree analysis result and the three-class ecological damage degree analysis result are used as the one-class ecological damage degree analysis result, the two-class ecological damage degree analysis result and the three-class ecological damage degree analysis result.

Further, the system further comprises:

the result set combination module is used for combining and obtaining a plurality of ecological damage degree analysis result sets according to the plurality of sample class-one ecological damage degree analysis results, the plurality of sample class-two ecological damage degree analysis results and the plurality of sample class-three ecological damage degree analysis results;

according to the multiple ecological damage degree analysis result sets, comprehensive ecological damage degree grade evaluation is carried out, and multiple sample comprehensive ecological damage degree analysis results are obtained;

the comprehensive coordinate system construction module is used for constructing a comprehensive coordinate system based on the analysis results of the first-class ecological damage degree, the analysis results of the second-class ecological damage degree and the analysis results of the third-class ecological damage degree;

the comprehensive coordinate point acquisition module is used for inputting the multiple ecological damage degree analysis result sets into the comprehensive coordinate system to obtain multiple sample comprehensive coordinate points;

the analysis unit acquisition module is used for marking the comprehensive coordinate points of the plurality of samples by adopting the comprehensive ecological damage degree analysis results of the plurality of samples to obtain the comprehensive damage degree analysis unit;

The result acquisition module is used for inputting the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result into the comprehensive damage degree analysis unit to obtain the comprehensive ecological damage degree analysis result.

Further, the system further comprises:

the sample scheme set acquisition module is used for formulating and acquiring a plurality of sample ecological restoration scheme sets based on cloud service according to analysis results of comprehensive ecological damage degrees of the plurality of samples;

the sample early warning information acquisition module is used for acquiring different sample early warning information according to the analysis result of the comprehensive ecological damage degree of the plurality of samples;

the database construction module is used for taking the analysis result of the comprehensive ecological damage degree of the plurality of samples as a data index, taking the ecological restoration scheme set of the plurality of samples and the early warning information of the plurality of samples as data elements, and constructing the ecological restoration database;

the data matching module is used for inputting the comprehensive ecological damage degree analysis result into the ecological restoration database to obtain the corresponding early warning information and ecological restoration scheme set.

Further, the system further comprises:

the weight distribution module is used for carrying out weight distribution on the importance of the area to be repaired according to the first-class ecological index set, the second-class ecological index set and the three-class ecological index set to obtain a weight distribution result;

the sub-scheme acquisition module is used for acquiring one type of ecological restoration sub-scheme, two types of ecological restoration sub-schemes and three types of ecological restoration sub-schemes in the ecological restoration scheme;

the agreements acquisition module is used for acquiring agreements of the ecological restoration sub-schemes, the two-class ecological restoration sub-schemes, the three-class ecological restoration sub-schemes, the one-class ecological damage degree analysis result, the two-class ecological damage degree analysis result and the three-class ecological damage degree analysis result to obtain first agreements information, second agreements information and third agreements information;

and the optimizing rule acquisition module is used for carrying out weighted calculation on the first fit degree information, the second fit degree information and the third fit degree information by adopting the weight distribution result to obtain fit degree information, and carrying out optimizing according to the fit degree information to obtain the multi-purpose optimizing rule.

Further, the system further comprises:

the first ecological restoration scheme extraction module is used for randomly selecting a first ecological restoration scheme from the ecological restoration scheme set and taking the first ecological restoration scheme as a current optimal solution;

the first fitness information acquisition module is used for acquiring first fitness information of the first ecological restoration scheme and the comprehensive ecological damage degree analysis result based on the multi-purpose optimizing rule;

the second ecological restoration scheme extraction module is used for randomly selecting a second ecological restoration scheme from the ecological restoration scheme set again to obtain the second ecological restoration scheme;

the second fitness information acquisition module is used for acquiring second fitness information of the second ecological restoration scheme and the comprehensive ecological damage degree analysis result based on the multi-purpose optimizing rule;

the current optimal solution determining module is used for judging whether the second fitness information is larger than the first fitness information, if yes, the second ecological restoration scheme is used as a current optimal solution, if not, the second ecological restoration scheme is used as the current optimal solution according to probability parameters, and the probability parameters are calculated according to the following formula:

and the optimal scheme determining module is used for continuing iterative optimization until the preset iterative times are reached, outputting the current optimal solution and obtaining the optimal ecological restoration scheme.

Through the foregoing detailed description of an ecological restoration scheme optimizing method based on cloud service, those skilled in the art can clearly know an ecological restoration scheme optimizing method and an ecological restoration scheme optimizing system based on cloud service in this embodiment, and for the device disclosed in the embodiment, the description is relatively simple because it corresponds to the method disclosed in the embodiment, and relevant places refer to the method part for description.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An ecological restoration scheme optimization method based on cloud service, which is characterized by comprising the following steps:

optimizing in the ecological restoration scheme set by adopting the multi-purpose optimization rule to obtain an optimal ecological restoration scheme, and performing ecological restoration on the area to be restored;

the method for acquiring the ecological data of the area to be repaired based on the multiple ecological indexes to obtain an ecological index parameter set comprises the following steps:

acquiring the ecological index parameter set, wherein the ecological index parameter set comprises an earth surface deformation index and an earth surface vegetation destruction index;

acquiring the second-class ecological index parameter set, wherein the second-class ecological index parameter set comprises an underground water level change index and an underground water pollution index;

acquiring the three types of ecological index parameter sets, wherein the three types of ecological index parameter sets comprise soil heavy metal pollution indexes and soil organic matter pollution indexes;

obtaining the plurality of ecological indexes according to the first-class ecological index parameter set, the second-class ecological index parameter set and the three-class ecological index parameter set, and detecting the area to be repaired to obtain the ecological index parameter set;

Constructing a multi-purpose optimizing rule according to the analysis result of the first class ecological damage degree, the analysis result of the second class ecological damage degree and the analysis result of the third class ecological damage degree, wherein the multi-purpose optimizing rule comprises the following steps:

according to the importance of the first class ecological index parameter set, the second class ecological index parameter set and the third class ecological index parameter set to the area to be repaired, weight distribution is carried out, and a weight distribution result is obtained;

acquiring a class-II ecological restoration sub-scheme, a class-II ecological restoration sub-scheme and three classes of ecological restoration sub-schemes in the ecological restoration scheme;

acquiring the agreements of the ecological restoration sub-schemes, the two-class ecological restoration sub-schemes, the three-class ecological restoration sub-schemes, the one-class ecological damage degree analysis result, the two-class ecological damage degree analysis result and the three-class ecological damage degree analysis result, and acquiring first agreements information, second agreements information and third agreements information;

weighting and calculating the first, second and third fitness information by adopting the weight distribution result to obtain the fitness information, and optimizing according to the fitness information to obtain the multi-purpose optimizing rule;

Inputting the first class ecological index parameter set, the second class ecological index parameter set and the third class ecological index parameter set into a first class damage degree analysis branch, a second class damage degree analysis branch and a third class damage degree analysis branch in an ecological damage degree analysis model respectively to obtain a first class ecological damage degree analysis result, a second class ecological damage degree analysis result and a third class ecological damage degree analysis result, wherein the method comprises the following steps:

based on cloud service, acquiring a plurality of sample class-one ecological index parameter sets, a plurality of sample class-two ecological index parameter sets and a plurality of sample class-three ecological index parameter sets;

performing damage degree grade evaluation according to the plurality of sample class-one ecological index parameter sets, the plurality of sample class-two ecological index parameter sets and the plurality of sample class-three ecological index parameter sets to obtain a plurality of sample class-one ecological damage degree analysis results, a plurality of sample class-two ecological damage degree analysis results and a plurality of sample class-three ecological damage degree analysis results;

respectively constructing and obtaining a first coordinate system, a second coordinate system and a third coordinate system based on the first class ecological index parameter set, the second class ecological index parameter set and the three class ecological index parameter sets;

Inputting the plurality of sample class-one ecological index parameter sets, the plurality of sample class-two ecological index parameter sets and the plurality of sample class-three ecological index parameter sets into the first coordinate system, the second coordinate system and the third coordinate system respectively to obtain a plurality of class-one sample coordinate points, a plurality of class-two sample coordinate points and a plurality of class-three sample coordinate points;

marking the plurality of sample coordinate points, the plurality of second-class sample coordinate points and the plurality of third-class sample coordinate points by adopting the plurality of sample first-class ecological damage degree analysis results, the plurality of sample second-class ecological damage degree analysis results and the plurality of sample third-class ecological damage degree analysis results to obtain the first-class damage degree analysis branch, the second-class damage degree analysis branch and the third-class damage degree analysis branch;

inputting the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set into the constructed first-class damage degree analysis branch, second-class damage degree analysis branch and third-class damage degree analysis branch respectively to obtain a first-class ecological damage degree analysis result, a second-class ecological damage degree analysis result and third-class ecological damage degree analysis result;

Inputting the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set into the constructed first-class damage degree analysis branch, second-class damage degree analysis branch and third-class damage degree analysis branch respectively to obtain the first-class ecological damage degree analysis result, second-class ecological damage degree analysis result and third-class ecological damage degree analysis result, wherein the method comprises the following steps:

respectively inputting the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set into the constructed first-class damage degree analysis branch, second-class damage degree analysis branch and third-class damage degree analysis branch to obtain first-class coordinate points, second-class coordinate points and third-class coordinate points;

respectively acquiring K types of sample coordinate points, K types of sample coordinate points and K types of three types of sample coordinate points which are nearest to the types of coordinate points, the two types of sample coordinate points and the three types of sample coordinate points, and acquiring corresponding K types of sample ecological damage degree analysis results, K types of sample ecological damage degree analysis results and K types of sample ecological damage degree analysis results, wherein K is an odd number;

Obtaining a sample class-ecological damage degree analysis result, a sample class-ecological damage degree analysis result and a sample class-ecological damage degree analysis result with highest occurrence frequency in the K sample class-ecological damage degree analysis results, the K sample class-ecological damage degree analysis results and the K sample class-ecological damage degree analysis results, and taking the sample class-ecological damage degree analysis results, the sample class-ecological damage degree analysis results and the sample class-ecological damage degree analysis results as the class-ecological damage degree analysis results, the class-ecological damage degree analysis results and the class-ecological damage degree analysis results;

inputting the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result into a comprehensive damage degree analysis unit in the ecological damage degree analysis model, wherein the comprehensive damage degree analysis unit comprises:

combining to obtain a plurality of ecological damage degree analysis result sets according to the plurality of sample one-class ecological damage degree analysis results, the plurality of sample two-class ecological damage degree analysis results and the plurality of sample three-class ecological damage degree analysis results;

Constructing a comprehensive coordinate system based on the analysis results of the first class ecological damage degree, the analysis results of the second class ecological damage degree and the analysis results of the third class ecological damage degree;

inputting the analysis result sets of the multiple ecological damage degrees into the comprehensive coordinate system to obtain multiple sample comprehensive coordinate points;

marking the comprehensive coordinate points of the plurality of samples by adopting the comprehensive ecological damage degree analysis results of the plurality of samples to obtain the comprehensive damage degree analysis unit;

inputting the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result into the comprehensive damage degree analysis unit to obtain the comprehensive ecological damage degree analysis result;

and optimizing in the ecological restoration scheme set by adopting the multi-purpose optimization rule to obtain an optimal ecological restoration scheme, wherein the method comprises the following steps:

randomly selecting a first ecological restoration scheme from the ecological restoration scheme set, and taking the first ecological restoration scheme as a current optimal solution;

acquiring first fitness information of the first ecological restoration scheme and the comprehensive ecological damage degree analysis result based on the multi-purpose optimizing rule;

Randomly selecting a second ecological restoration scheme from the ecological restoration scheme set again;

acquiring second fitness information of the second ecological restoration scheme and the comprehensive ecological damage degree analysis result based on the multi-purpose optimizing rule;

judging whether the second fitness information is larger than the first fitness information, if so, taking the second ecological restoration scheme as a current optimal solution, and if not, according to probability parametersTaking the second ecological restoration scheme as a current optimal solution, and calculating the probability parameter by the following formula:wherein P is a probability parameter, ++>Is constant (I)>K is a constant which is reduced as the iterative optimization times are increased;

and continuing iterative optimization until the preset iterative times are reached, and outputting the current optimal solution to obtain the optimal ecological restoration scheme.

2. The method according to claim 1, wherein inputting the comprehensive ecological damage degree analysis result into an ecological restoration database based on cloud services to obtain early warning information and an ecological restoration scheme set, comprises:

based on cloud service, formulating and acquiring a plurality of sample ecological restoration scheme sets according to analysis results of comprehensive ecological damage degrees of the plurality of samples;

Acquiring different sample early warning information according to analysis results of comprehensive ecological damage degrees of the samples;

taking the analysis result of the comprehensive ecological damage degree of the plurality of samples as a data index, taking the ecological restoration scheme set of the plurality of samples and the early warning information of the plurality of samples as data elements, and constructing the ecological restoration database;

inputting the analysis result of the comprehensive ecological damage degree into the ecological restoration database to obtain the corresponding early warning information and ecological restoration scheme set.

3. An ecological restoration scheme optimization system based on cloud services, the system comprising:

the scheme optimizing module is used for optimizing in the ecological restoration scheme set by adopting the multi-purpose optimizing rule to obtain an optimal ecological restoration scheme and carrying out ecological restoration on the area to be restored;

The system comprises a class of ecological index parameter set acquisition modules, a class of ecological index parameter set acquisition module and a class of ecological index parameter set acquisition module, wherein the class of ecological index parameter set comprises an earth surface deformation index and an earth surface vegetation destruction index;

the second-class ecological index parameter set acquisition module is used for acquiring the second-class ecological index parameter set, wherein the second-class ecological index parameter set comprises a groundwater level change index and a groundwater pollution index;

the three-type ecological index parameter set acquisition module is used for acquiring the three-type ecological index parameter sets, wherein the three-type ecological index parameter sets comprise soil heavy metal pollution indexes and soil organic matter pollution indexes;

the index parameter set acquisition module is used for acquiring the plurality of ecological indexes according to the first-class ecological index parameter set, the second-class ecological index parameter set and the three-class ecological index parameter set, detecting the area to be repaired and acquiring the ecological index parameter set;

The weight distribution module is used for carrying out weight distribution on the importance of the area to be repaired according to the first-class ecological index parameter set, the second-class ecological index parameter set and the three-class ecological index parameter set to obtain a weight distribution result;

the optimizing rule obtaining module is used for carrying out weighted calculation on the first concordance degree information, the second concordance degree information and the third concordance degree information by adopting the weight distribution result to obtain concordance degree information, and optimizing according to the concordance degree information to obtain the multi-purpose optimizing rule;

the coordinate system construction module is used for respectively constructing and obtaining a first coordinate system, a second coordinate system and a third coordinate system based on the first class ecological index parameter set, the second class ecological index parameter set and the three class ecological index parameter sets;

the analysis result acquisition module is used for respectively inputting the first-class ecological index parameter set, the second-class ecological index parameter set and the third-class ecological index parameter set into the constructed first-class damage degree analysis branch, the second-class damage degree analysis branch and the third-class damage degree analysis branch to obtain the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result;

the analysis result determining module is used for acquiring one type of ecological damage degree analysis results, two types of ecological damage degree analysis results and three types of ecological damage degree analysis results of the sample with highest occurrence frequency in the K sample type of ecological damage degree analysis results, one type of ecological damage degree analysis results, two types of ecological damage degree analysis results and three types of ecological damage degree analysis results of the sample, and taking the one type of ecological damage degree analysis results, the two types of ecological damage degree analysis results and the three types of ecological damage degree analysis results;

the result acquisition module is used for inputting the first-class ecological damage degree analysis result, the second-class ecological damage degree analysis result and the third-class ecological damage degree analysis result into the comprehensive damage degree analysis unit to obtain the comprehensive ecological damage degree analysis result;

the current optimal solution determining module is used for judging whether the second fitness information is larger than the first fitness information, if yes, the second ecological restoration scheme is used as a current optimal solution, if not, the second ecological restoration scheme is used as the current optimal solution according to probability parameters, and the probability parameters are calculated according to the following formula: Wherein P is a probability parameter, ++>Is constant (I)>K is a constant which is reduced as the iterative optimization times are increased;