A Cloud AI Dashboard for Predictive Maintenance for Council and Housing Provider Boiler Stock.

用于议会和住房提供商锅炉库存预测维护的云人工智能仪表板。

• 批准号: 10010259
• 金额: $ 4.2万
• 依托单位: OVON TECHNOLOGY LTD
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10010259
• 关键词: Cloud; AI; Dashboard; Predictive; Maintenance

Within the first six years 49% of boilers developed a fault of some description and the average cost of repairing a boiler fault was £188\. For this reason Ovon developed the smart boiler controller, a device capable of reading diagnostic data from a boiler. It utilises all 3 main boiler protocols to gain detailed information into boiler performance and communicates to a cloud-based dashboard by NB-IoT.This project is to develop an AI-integrated dashboard featuring machine learning algorithms to view a boiler's past performance and provide customers with exact part specifications for what is likely to fail. This means councils can optimise their maintenance provision, save money on engineer call-outs, and improve customer service.This is a highly innovative process and goes far beyond anything currently on the market, as smart thermostats have no diagnostic capability and are limited by WiFi restrictions. Boilers even if assessed in person by an engineer only currently provide fault codes that cover a range of problems. With Ovon's insight, we can provide accurate information before a problem even occurs.

在最初的六年内，49%的锅炉出现了某种故障，维修锅炉故障的平均成本为188英镑。出于这个原因，Ovon开发了智能锅炉控制器，这是一种能够从锅炉阅读诊断数据的设备。它利用所有3个主要锅炉协议来获取锅炉性能的详细信息，并通过NB-IoT与基于云的仪表板进行通信。该项目旨在开发一个集成人工智能的仪表板，该仪表板具有机器学习算法，可以查看锅炉的过去性能，并为客户提供准确的部件规格，以了解可能出现的故障。这意味着市政委员会可以优化其维护规定，节省工程师呼叫的费用，并改善客户服务。这是一个高度创新的过程，远远超出了目前市场上的任何产品，因为智能恒温器没有诊断功能，并且受到WiFi限制。即使由工程师亲自评估，锅炉目前也只能提供涵盖一系列问题的故障代码。凭借Ovon的洞察力，我们甚至可以在问题发生之前提供准确的信息。