公开(公告)号：US20240232771A1

公开(公告)日：2024-07-11

申请号：US18009335

申请日：2022-10-28

Applicant: CHINESE RESEARCH ACADEMY OF ENVIRONMENTAL SCIENCES

Inventor： Haisheng LI ,  Hua JIANG ,  Jianglong CUI ,  Lieyu ZHANG ,  Guowen LI ,  Cao LIU ,  Xiaoguang LI ,  Jiaqian LI ,  Chen ZHAO ,  Caole LI ,  Xiaolin HOU ,  Shengwang GAO

IPC: G06Q10/0639 ,  G06Q40/12

CPC classification number: G06Q10/0639 ,  G06Q40/123

Abstract: A water-pollution environmental-protection verification method based on power grid and tax data fusion includes: acquiring power data and tax data corresponding to a plurality of enterprise identities in a target region; acquiring a pollutant output and a sewage purification consumable consumption corresponding to each enterprise identity based on the tax data; determining a first candidate enterprise identity set based on the pollutant output; determining a second candidate enterprise identity set based on the sewage purification consumable consumption and a sewage purification consumable consumption of an actual unit yield of each enterprise identity; acquiring production information of the plurality of enterprise identities based on the power data, and determining a third candidate enterprise identity set; and processing based on the first candidate enterprise identity set, the second candidate enterprise identity set and the third candidate enterprise identity set to determine a target enterprise identity.

公开(公告)号：US20240232908A1

公开(公告)日：2024-07-11

申请号：US18009356

申请日：2022-10-25

Applicant: CHINESE RESEARCH ACADEMY OF ENVIRONMENTAL SCIENCES

Inventor： Jianglong CUI ,  Lieyu ZHANG ,  Guowen LI ,  Yijun BAO ,  Wensi WANG ,  Cao LIU ,  Xiaoguang LI ,  Jiaqian LI ,  Chen ZHAO ,  Caole LI ,  Wei LI ,  Xiaolin HOU

IPC: G06Q30/018

CPC classification number: G06Q30/018

Abstract: An enterprise activation degree determining method and apparatus, an electronic device and a storage medium are provided. The method includes: acquiring original activation degree index data in P dimensions corresponding to N enterprises respectively, and performing dimensionless processing on the original activation degree index data to obtain target activation degree index data in P dimensions; calculating a correlation coefficient of target activation degree index data in every two dimensions to obtain a correlation coefficient matrix, and determining feature values and feature vectors of the correlation coefficient matrix; determining M principal components and accumulated contribution rates respectively corresponding to the M principal components based on the feature values and the feature vectors; calculating weights respectively corresponding to the target activation degree index data in the P dimensions; and determining the activation degree of each enterprise.

公开(公告)号：US20240232456A1

公开(公告)日：2024-07-11

申请号：US18009343

申请日：2022-10-25

Applicant: CHINESE RESEARCH ACADEMY OF ENVIRONMENTAL SCIENCES

Inventor： Haisheng LI ,  Hua JIANG ,  Jianglong CUI ,  Lieyu ZHANG ,  Guowen LI ,  Cao LIU ,  Wensi WANG ,  Xiaoguang LI ,  Jiaqian LI ,  Chen ZHAO ,  Caole LI ,  Wei LI ,  Xiaolin HOU

IPC: G06F30/20

CPC classification number: G06F30/20

Abstract: A pollution emission determination method and apparatus based on a digital watershed space-time model is provided. In the method, a to-be-detected river watershed includes a plurality of sections, each section is provided with a monitoring station, a water quality sensor is mounted on each monitoring station, and the water quality sensor is used for acquiring water quality data. The method includes: acquiring currently monitored water quality data of a current monitoring station; acquiring actual water quality data of a previous monitoring station, calculating the actual water quality data through a calculated one-dimensional steady-state river model, and acquiring theoretical water quality data of the current monitoring station; and determining whether pollution emission occurs between the current monitoring station and the previous monitoring station according to a comparison result of the currently monitored water quality data and the theoretical water quality data.

公开(公告)号：US20240232777A1

公开(公告)日：2024-07-11

申请号：US18009355

申请日：2022-10-25

Applicant: CHINESE RESEARCH ACADEMY OF ENVIRONMENTAL SCIENCES

Inventor： Haisheng LI ,  Hua JIANG ,  Jianglong CUI ,  Lieyu ZHANG ,  Yijun BAO ,  Guowen LI ,  Cao LIU ,  Wensi WANG ,  Xiaoguang LI ,  Jiaqian LI ,  Chen ZHAO ,  Caole LI ,  Wei LI ,  Xiaolin HOU

IPC: G06Q10/0639 ,  G06F16/33 ,  G06F40/289

CPC classification number: G06Q10/06393 ,  G06F16/3344 ,  G06F40/289

Abstract: A method and apparatus for screening enterprises in Yangtze River Basin, an electronic device and a storage medium are provided. The method includes: acquiring original enterprise data belonging to a preset industry category, and comparing the original enterprise data with screened local enterprise data to obtain common enterprise data of the original enterprise data and the local enterprise data; extracting a first text feature from a business scope of the common enterprise data, and extracting a second text feature from a business scope of each enterprise in the original enterprise data; and performing feature matching on the second text feature corresponding to each enterprise and the first text feature respectively, and when a matching result meets a preset condition, determining that the enterprise is a first target enterprise. An accuracy of enterprise screening can be improved.

公开(公告)号：US20240232776A1

公开(公告)日：2024-07-11

申请号：US18009337

申请日：2022-10-25

Applicant: CHINESE RESEARCH ACADEMY OF ENVIRONMENTAL SCIENCES

Inventor： Jianglong CUI ,  Lieyu ZHANG ,  Guowen LI ,  Yijun BAO ,  Wensi WANG ,  Cao LIU ,  Xiaoguang LI ,  Jiaqian LI ,  Chen ZHAO ,  Caole LI ,  Wei LI ,  Xiaolin HOU

IPC: G06Q10/0639 ,  G06F40/279

CPC classification number: G06Q10/06393 ,  G06F40/279

Abstract: An enterprise screening method and apparatus, an electronic device and a storage medium are provided. The method includes: acquiring original enterprise data belonging to a preset industry category, and extracting enterprise business behavior information corresponding to each enterprise from a business scope of each enterprise in the original enterprise data; extracting first target business behavior information from the business scope of the confirmed target enterprise data belonging to the preset industry category, the enterprise business behavior information and the first target business behavior information both including business mode information and business object information; and matching the enterprise business behavior information corresponding to each enterprise with the first target business behavior information respectively, and when the matching is successful, determining that the enterprise is a first target enterprise. An accuracy of enterprise screening can be improved.