CN-121980228-A - Soil remediation technology screening method and related equipment

CN121980228ACN 121980228 ACN121980228 ACN 121980228ACN-121980228-A

Abstract

The application discloses a screening method of a soil remediation technology and related equipment. The method comprises the steps of obtaining first historical repair data of soil, screening key characteristic indexes from the first historical repair data, obtaining the soil data to be repaired, determining a first repair technical scheme of the soil to be repaired based on the key characteristic indexes, obtaining second historical repair data corresponding to the first repair technical scheme, determining a plurality of second repair technical schemes based on implementation condition information of the second historical repair data, calculating similarity between the soil data to be repaired and third historical repair data corresponding to each second repair technical scheme based on the key characteristic indexes, and screening out an optimal repair technical scheme of the soil data to be repaired according to the similarity. The application improves the screening efficiency of the soil remediation technology, and the screened optimal remediation technical scheme is more suitable for the actual condition of the soil to be remediated, improves the accuracy of the screening result of the soil remediation technology, and can be widely applied to the technical field of soil remediation.

Inventors

ZHANG LEI
LUO LIJUAN
DENG XIAOQUAN
Guan Qiting
ZHONG SHUWEN
SHU XINYI
LUAN TIANGANG
YANG YAN

Assignees

广东工业大学

Dates

Publication Date: 20260505
Application Date: 20251226

Claims (10)

1. The screening method of the soil remediation technology is characterized by comprising the following steps of: Acquiring first historical repair data of soil; screening key characteristic indexes from the first historical repair data; Acquiring data of the soil to be repaired, and determining a first repair technical scheme of the soil to be repaired based on the key characteristic indexes; acquiring second historical repair data corresponding to the first repair technical scheme, and determining a plurality of second repair technical schemes based on implementation condition information of the second historical repair data; Calculating the similarity between the soil data to be repaired and third historical repair data corresponding to each second repair technical scheme based on the key characteristic indexes; And determining the optimal repair technical scheme of the soil data to be repaired from the second repair technical scheme according to the similarity.
2. The method of claim 1, wherein prior to the step of screening out the key features, the method further comprises: Preprocessing the first historical repair data; the preprocessing of the first historical repair data, comprising the following steps: Performing data missing detection on the first historical repair data; under the condition that the data loss exists in the first historical repair data, the missing data is complemented, and the first historical repair data after the data complementation is obtained; And carrying out quantization processing and homogenization processing on the first historical repair data after data completion.
3. The method of claim 1, wherein the screening the key feature indicators from the first historical repair data comprises: screening a candidate characteristic index set from the first historical repair data; And analyzing the correlation between each candidate characteristic index in the candidate characteristic index set and the pollutant degradation rate, and screening out key characteristic indexes from the candidate characteristic index set according to a correlation analysis result.
4. A soil remediation technology screening method according to claim 3 wherein said analyzing the correlation between each candidate feature index in said candidate feature index set and the contaminant degradation rate and screening key feature indices from said candidate feature set based on the correlation analysis results includes: Calculating a correlation strength value between each candidate characteristic index and the pollutant degradation rate; taking the candidate characteristic indexes with the correlation intensity values larger than a preset threshold value as target characteristic indexes to obtain a target characteristic index set; Determining a plurality of target feature index combinations according to the target feature index sets, wherein each target feature index combination comprises a plurality of target feature indexes; analyzing the contribution degree of each target characteristic index combination to the pollutant degradation rate; And screening out key characteristic indexes from the target characteristic index set according to the correlation intensity value and the contribution degree.
5. The method of claim 4, wherein analyzing the contribution of each target feature index combination to the degradation rate of the contaminant comprises: Obtaining a decision coefficient of a preset regression model corresponding to each target characteristic index combination by fitting the preset regression model between each target characteristic index combination and the pollutant degradation rate; And evaluating and obtaining the contribution degree of each target characteristic index combination to the pollutant degradation rate according to the decision coefficient of the preset regression model corresponding to each target characteristic index combination.
6. The method for screening soil remediation technology according to claim 1, wherein determining a plurality of second remediation technical schemes based on implementation condition information of the second historical remediation data includes: Performing cluster analysis on the second historical repair data based on implementation condition information of the second historical repair data to aggregate the second historical repair data into a plurality of clusters; and obtaining a plurality of second repairing technical schemes based on each cluster and the second historical repairing data corresponding to each cluster.
7. The method for screening soil remediation technology according to claim 1, wherein the calculating the similarity between the soil data to be remediated and the third historical remediation data corresponding to each of the second remediation technical schemes based on the key characteristic index includes: Acquiring key characteristic indexes of the third historical repair data and pollutant degradation rates corresponding to the third historical repair data; determining the feature importance weight of the key feature index of the third historical repair data according to the key feature index of the third historical repair data and the pollutant degradation rate corresponding to the third historical repair data; Acquiring first feature vectors corresponding to key feature indexes of the third historical repair data and second feature vectors corresponding to key feature indexes of the soil data to be repaired; And calculating the similarity between the first feature vector and the second feature vector based on the feature importance weight to obtain the similarity between the soil data to be repaired and the third historical repair data corresponding to each second repair technical scheme.
8. A soil remediation technology screening apparatus, the apparatus comprising: the data acquisition module is used for acquiring first historical repair data of the soil; The index screening module is used for screening key characteristic indexes from the first historical repair data; The first scheme determining module is used for acquiring the soil data to be repaired and determining a first repairing technical scheme of the soil to be repaired based on the key characteristic indexes; The second scheme determining module is used for acquiring second historical repair data corresponding to the first repair technical scheme and determining a plurality of second repair technical schemes based on implementation condition information of the second historical repair data; The similarity calculation module is used for calculating the similarity between the soil data to be repaired and third historical repair data corresponding to each second repair technical scheme based on the key characteristic indexes; and the optimal scheme determining module is used for determining the optimal repair technical scheme of the soil data to be repaired from the second repair technical scheme according to the similarity.
9. An electronic device comprising a processor and a memory; the memory is used for storing programs; the processor executing the program implements the soil remediation technology screening method of any one of claims 1 to 7.
10. A computer program product comprising a computer program which, when executed by a processor, implements a soil remediation technology screening method according to any one of claims 1 to 7.

Description

Soil remediation technology screening method and related equipment Technical Field The application relates to the technical field of soil remediation, in particular to a screening method of a soil remediation technology and related equipment. Background The method mainly comprises multiple schemes of physical repair, chemical repair, biological repair, combined application of the technologies and the like aiming at the treatment of soil pollution. However, most of the existing soil restoration technologies adopt a qualitative matrix comparison method, and subjective evaluation is carried out on different restoration schemes by relying on expert experience, and quantitative analysis on complex environmental condition information and multi-factor influence is lacking, so that the screening efficiency and accuracy of the restoration technologies are low. Disclosure of Invention The main purpose of the embodiment of the application is to provide a screening method and related equipment for a soil remediation technology, which can improve the screening efficiency of the soil remediation technology, and the screened optimal remediation technical scheme is more suitable for the actual condition of the soil to be remediated, so that the accuracy of the screening result of the soil remediation technology is effectively improved. In order to achieve the above object, an aspect of an embodiment of the present application provides a soil remediation technology screening method, including: Acquiring first historical repair data of soil; screening key characteristic indexes from the first historical repair data; Acquiring data of the soil to be repaired, and determining a first repair technical scheme of the soil to be repaired based on the key characteristic indexes; acquiring second historical repair data corresponding to the first repair technical scheme, and determining a plurality of second repair technical schemes based on implementation condition information of the second historical repair data; Calculating the similarity between the soil data to be repaired and third historical repair data corresponding to each second repair technical scheme based on the key characteristic indexes; And determining the optimal repair technical scheme of the soil data to be repaired from the second repair technical scheme according to the similarity. In some embodiments, prior to the step of screening the key features, the method further comprises: Preprocessing the first historical repair data; the preprocessing of the first historical repair data, comprising the following steps: Performing data missing detection on the first historical repair data; under the condition that the data loss exists in the first historical repair data, the missing data is complemented, and the first historical repair data after the data complementation is obtained; And carrying out quantization processing and homogenization processing on the first historical repair data after data completion. In some embodiments, the screening the key feature indicators from the first historical repair data includes: screening a candidate characteristic index set from the first historical repair data; And analyzing the correlation between each candidate characteristic index in the candidate characteristic index set and the pollutant degradation rate, and screening out key characteristic indexes from the candidate characteristic index set according to a correlation analysis result. In some embodiments, the analyzing the correlation between each candidate feature index in the candidate feature index set and the pollutant degradation rate, and screening key feature indexes from the candidate feature set according to the correlation analysis result, includes: Calculating a correlation strength value between each candidate characteristic index and the pollutant degradation rate; taking the candidate characteristic indexes with the correlation intensity values larger than a preset threshold value as target characteristic indexes to obtain a target characteristic index set; Determining a plurality of target feature index combinations according to the target feature index sets, wherein each target feature index combination comprises a plurality of target feature indexes; analyzing the contribution degree of each target characteristic index combination to the pollutant degradation rate; And screening out key characteristic indexes from the target characteristic index set according to the correlation intensity value and the contribution degree. In some embodiments, said analyzing the extent of contribution of each of said target characteristic index combinations to said contaminant degradation rate comprises: Obtaining a decision coefficient of a preset regression model corresponding to each target characteristic index combination by fitting the preset regression model between each target characteristic index combination and the pollutant degradation rate; And evaluating and obt