长株潭以及陕西地区生态环境测试数据

数据集内容：本数据集记录了关中城市群、长株潭城市群主要城市等有关水质、空气、工地扬尘、固体废物、垃圾焚烧等生态多源监测的站点测试。以水质数据介绍为例，长株潭数据集记录了水质数据、空气质量数据等生态数据，包括检测PH值、高锰酸钾、氨氮等指标。数据来源于长株潭以及陕西地区的生态环境检测。以分类任务微目标的数据输入放入智能分析引擎中训练，自适应得出最优的分类模型，可以保存最优模型以及得到模型的表现效果。内含1个数据集说明文件、1个数据集实体文件。
采集方案：通过边缘端传感器对长株潭以及陕西地区水质数据、空气质量数据等生态数据进行指标检测与数据采集，
采集地点：长株潭以及关中城市群
采集时间：2021年 12月
设备情况：部署传感器网络实时监测生态参数。这些网络由多个传感器组成，这些传感器地放置需要采集数据的区域。传感器可以测量各种参数，如温度、pH、溶解氧、浊度和水质电导率，以及颗粒物、气体和挥发性有机化合物的空气质量。通过数据记录器记录和存储传感器随时间变化的数据。由电池供电，可以编程为以特定的间隔对数据进行采样，可以连接到各种传感器，以收集水质或空气质量数据。传感器则采用常见的自动水采样器，空气质量监测器，水质检测试剂这些设备以预定的间隔或响应特定的触发来收集数据，使用内置传感器，用于在启动采样过程之前检测某些参数。

Dataset Content: This dataset records station-based monitoring tests related to multi-source ecological monitoring including water quality, air quality, construction site dust, solid waste, waste incineration and other aspects for major cities in the Guanzhong Urban Agglomeration, Changzhutan Urban Agglomeration and other relevant regions. Take water quality data as an example, the Changzhutan dataset records ecological data such as water quality and air quality data, including detection indicators like pH value, potassium permanganate, ammonia nitrogen and others. The data is sourced from ecological environment monitoring in the Changzhutan area and Shaanxi Province. When data of micro-targets for classification tasks are input into the intelligent analysis engine for training, the optimal classification model is adaptively derived, and the optimal model can be saved together with its performance evaluation results. This dataset includes 1 dataset description file and 1 dataset entity file.

Collection Plan: Perform indicator detection and data collection for ecological data such as water quality and air quality in the Changzhutan area and Shaanxi Province via edge sensors.

Collection Locations: Changzhutan Area and Guanzhong Urban Agglomeration

Collection Time: December 2021

Equipment Configuration: A sensor network is deployed for real-time monitoring of ecological parameters. The network comprises multiple sensors deployed in target areas for data collection. These sensors can measure various parameters, including temperature, pH, dissolved oxygen, turbidity, water conductivity, as well as air quality indicators such as particulate matter, gases and volatile organic compounds. Data loggers are used to record and store time-series data collected by the sensors. The sensors are battery-powered, programmable to sample data at specified intervals, and compatible with various sensors for collecting water quality or air quality data. Common devices including automatic water samplers, air quality monitors and water quality detection reagents are employed to collect data at predetermined intervals or in response to specific triggers, with built-in sensors for detecting certain parameters before starting the sampling process.

搜集汇总

背景与挑战

背景概述

该数据集记录了2021年12月在长株潭城市群和关中城市群（陕西地区）采集的生态环境测试数据，涵盖水质、空气质量、工地扬尘、固体废物和垃圾焚烧等多源监测指标，如pH值、高锰酸钾和氨氮。数据通过边缘端传感器网络采集，用于分类任务模型训练，支持智能分析引擎优化，文件格式包括zip、csv等，总数据量为178.9MB。