Investigating the feasibility of automating disposals, collections and bin capacity monitoring in Nairobi, Kenya

提高回收利用率是循环废物管理的一个关键组成部分，是解决全球环境危机的核心。世界银行(**什么是废物2.0-2050年固体废物管理全球快照**)预测，到2050年，每年产生的20.1亿吨废物将增加到34亿吨。肯尼亚等发展中国家尤其受到管理不善的废物造成的严重健康和环境后果的不利影响，这些废物要么被公开焚烧，要么被非法倾倒。肯尼亚内罗毕县政府报告称，仅收集了38%的垃圾，其中只有10%被回收。为了应对人口增长产生的越来越多的垃圾，内罗毕大都会服务机构(NMS)发起了一项倡议，以改善该县的卫生状况。NMS计划在全国范围内建立垃圾储存站。肯尼亚的其他举措包括2019年可持续废物管理法案和环境部2021年循环经济宣传活动。De Graft Management(DGM)是一家物业和资产管理软件专家。我们与肯尼亚的利益攸关方合作，这些利益攸关方尚未使用技术来管理他们的建筑和相关服务。今年，根据利益攸关方的要求，我们开始开发人工智能废物技术，以有效地管理建筑物产生的固体废物。我们的研究建立在我们已经取得的进展的基础上，我们调查了将额外功能纳入DGM废物管理模块的可行性，以跟踪内罗毕的废物时间表、收集和处置，方法是：\*绘制收集代理到投放点和收集点(建筑物)的路程图\*使废物产生者能够找到最近的投放点和收集中心；扫描和上传数据；并安排收集\*监控垃圾箱容量以优化调度我们的想法是创新的，因为我们正在开发专为肯尼亚开发的负担得起、以用户为中心和当地支持的废物管理技术，并制定长期计划，在整个非洲推广DGM技术。

Increasing the rate of recycling, a key component of circular waste management, is central to addressing the global environmental crisis. The World Bank (**What a Waste 2.0 - A Global Snapshot of Solid Waste Management to 2050**) projects that the 2.01bn tonnes of waste generated annually will rise to 3.40bn tonnes by 2050\.Developing countries such as Kenya are particularly adversely affected by the serious health and environmental consequences of inefficiently managed waste, which is either openly incinerated or illegally dumped. Nairobi County Government in Kenya reports that only 38% waste is collected, of which just 10% is recycled.In response to the increasing amount of waste generated by a growing population, the Nairobi Metropolitan Services (NMS) has launched an initiative to improve sanitation in the county. NMS plans to build waste storage stations across the country. Other Kenyan initiatives include the 2019 Sustainable Waste Management Bill and Ministry of Environment 2021 circular economy awareness campaign.De Graft Management (DGM) is a Property and Asset Management software specialist. We work with stakeholders in Kenya who are yet to use technology to manage their buildings and related services. This year, in response to stakeholder requirements, we have started to develop AI-enabled waste technology to efficiently manage the solid waste generated from their buildings.Our study builds on the progress we have already made by investigating the feasibility of incorporating additional functionality into the DGM waste management modules to track Nairobi's waste schedules, collections and disposals by:\*Mapping collection agents' journeys to drop-off and collection points (buildings)\*Enabling waste generators to locate nearest drop-offs and collection centres; scan and upload data; and arrange collections\*Monitoring waste bin capacity to optimise schedulesOur idea is innovative because we are developing affordable, user-centred and locally supported waste management technology specifically developed for Kenya with long-term plans to scale the DGM technology across Africa.