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能源管理专家助手，新概念。

Energy Management Expert Assistant, a New Concept.

机构信息

Departamento de Ingeniería Electrónica y de Computadores, Escuela Politécnica Superior de Córdoba, Campus de Rabanales, Universidad de Córdoba, Edificio Leonardo Da Vinci, E-14071 Cordoba, Spain.

出版信息

Sensors (Basel). 2021 Sep 2;21(17):5915. doi: 10.3390/s21175915.

DOI:10.3390/s21175915
PMID:34502804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8434654/
Abstract

In recent years, interest in home energy management systems (HEMS) has grown significantly, as well as the development of Voice Assistants that substantially increase home comfort. This paper presents a novel merging of HEMS with the Assistant paradigm. The combination of both concepts has allowed the creation of a high-performance and easy-to-manage expert system (ES). It has been developed in a framework that includes, on the one hand, the efficient energy management functionality boosted with an Internet of Things (IoT) platform, where artificial intelligence (AI) and big data treatment are blended, and on the other hand, an assistant that interacts both with the user and with the HEMS itself. The creation of this ES has made it possible to optimize consumption levels, improve security, efficiency, comfort, and user experience, as well as home security (presence simulation or security against intruders), automate processes, optimize resources, and provide relevant information to the user facilitating decision making, all based on a multi-objective optimization (MOP) problem model. This paper presents both the scheme and the results obtained, the synergies generated, and the conclusions that can be drawn after 24 months of operation.

摘要

近年来，家庭能源管理系统（HEMS）的兴趣显著增长，以及语音助手的发展大大提高了家庭舒适度。本文提出了一种新颖的 HEMS 与助手范例的融合。这两个概念的结合允许创建一个高性能且易于管理的专家系统（ES）。它是在一个框架中开发的，一方面包括高效的能源管理功能，该功能通过物联网（IoT）平台得到增强，其中融合了人工智能（AI）和大数据处理，另一方面包括一个与用户和 HEMS 本身交互的助手。创建这个 ES 使得优化消费水平、提高安全性、效率、舒适度和用户体验成为可能，还提高了家庭安全性（存在模拟或防止入侵者），实现了流程自动化、优化了资源，并为用户提供了相关信息，从而便于决策，所有这些都基于一个多目标优化（MOP）问题模型。本文介绍了方案和获得的结果、产生的协同作用以及 24 个月运行后的结论。

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