"EMOP" - Energy & Maintenance Optimisation Platform

注册的社会房东(RSL，560万套住房，EHS，2016)和私人多物业房主(190万套住房，LSE，2016)每年在维修和维护(R&M)上花费71亿GB，其中因潮湿或过度寒冷导致的平均维修成本在4k-7k GB/套之间，导致大量不必要的支出。这主要归因于区域服务提供商目前使用的数据质量很差，完全依赖EPC来做出能源和维护干预决策。考虑到最近的立法要求每年减租1%(IFS，2017)，以及最近保护租户福祉的注意义务(CareAct，2014)，RSL面临的压力越来越大。为了抓住这个机会，我们正在开发一个“能源和维护优化平台”(EMOP)，它将我们独特的智能传感器收集的实时高价值数据与各种现有数据集相结合，使用我们专有的自我学习算法来支持房东的明智决策。EMOP由尖端的低功率通信网络支持，通过优化能源和翻新干预，帮助业主进行有针对性的预防性维护。

Registered Social Landlords (RSLs, 5.6m homes, EHS,2016) and private multi-property homeowners (1.9m homes, LSE,2016) spend £7.1bn/year on repair & maintenance (R&M), out of which the average cost of repair caused by damp or excess-cold varies between £4k - £7k/home resulting an enormous amount of unnecessary expenditures. This is predominantly attributed to the poor quality of data RSLs currently use to make decisions on energy and maintenance interventions, relying purely on EPCs. The pressure is increasingly high on RSLs considering recent legislation mandated 1% annual rent cut (IFS,2017), as well as the recent Duty of Care obligation to protect tenants' well-being (CareAct,2014).To address this opportunity, we are developing an "Energy & Maintenance Optimisation Platform" (EMOP) that combines real-time high-value data collected by our unique smart sensors with a wide range of existing data-sets, using our proprietary self-learning algorithms to support informed decision-making for landlords. EMOP, supported by cutting edge low-power communication network, can help landlords to undertake targeted preventative maintenance through optimising energy and refurbishment interventions.