ABSTRACT

The aim of this paper is to describe a solution suitable for the automation of standard pollen information service (EN 16868:2019). We are describing the RealForAll integrated information system developed for automatic airborne pollen detection and real-time data delivery to end-users. This solution is based on the measurements from the Rapid-E airborne particle monitor. The system incorporates an AI-enabled subsystem based on a convolutional neural network that continuously retrieves raw data from Rapid-E and performs the classification of airborne pollen. The main advantages of this system reflect in real-time data delivery and independence of aerobiology experts during the pollen season.

摘要

本文的目的是描述一种适用于标准花粉信息服务自动化的解决方案（EN 16868:2019）。我们正在描述 RealForAll 集成信息系统，该系统为自动空气传播花粉检测和向最终用户提供实时数据而开发。该解决方案基于 Rapid-E 空气悬浮粒子监测器的测量结果。该系统包含一个基于卷积神经网络的支持人工智能的子系统，该网络可以不断地从 Rapid-E 中检索原始数据并执行空气传播花粉的分类。该系统的主要优势体现在花粉季节期间空气生物学专家的实时数据传输和独立性。