Overview
Who this competition fits
Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.
Read the original official blurb
本赛项要求参赛队伍基于浪潮海岳物联网平台inIoT，实现某类设备数据采集，如水务场景下水泵等设备、制造场景下PLC设备、矿山场景下风机设备等，对于设备及其应用的行业不做限制，可自由选择。采集到的设备数据将会存储在物联平台inIoT的时序库中，要求参赛队伍对历史或实时设备数据做算法分析，实现对设备状态的进行检测并对设备异常状况进行报警，并且模拟设备故障状态的数据，能够检测并进行故障检测、诊断，实现对物联设备的故障检测及健康管理。设备接入、报警及最终展现功能，可以通过inIoT的接入网关、报警管理、组态设计器通用能力及工具快速实现，参赛者主要实现模拟不同设备的运行状态数据，并通过设备相关协议接入inIoT然后通过算法模型实现对设备的监测运维，最后展现可以通过组态低代码设计器拖拽实现。 Official category: 实战竞技赛. Organizers: 浪潮. Participants: 199.
Preparation
From registration to a first submission
- 01
Python
- 02
scikit-learn or similar ML library
- 03
data analysis with pandas
Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- OpenAtom
- Last checked
- Sep 20, 2024