The Q-Drive - A Smart City Product - An AI controlled vehicle augmentation platform enabling significant reduction of diesel particulates and carbon emissions emitted by all diesel engine vehicles.
The Q-Drive - A Smart City Product - An AI controlled vehicle augmentation platform enabling significant reduction of diesel particulates and carbon emissions emitted by all diesel engine vehicles.
批准号:
10031995
负责人:
金额:
$28.42万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
**AI Solving Dirty Vehicle Emissions**Smart-H, an Exeter based Artificial-Intelligence Company, is leading the way to reduce Emissions on all vehicles, by using AI to continuously and adaptively tune the engine to a near perfect state.**Protecting Life Itself**The development of our new Quantum Drive (Q-Drive) technology will enable perfect engine settings to be achieved at least 5 minutes in advance of any designated 'Safe-Area', for example near a University campus, a school playground, a residential care-home or an area containing protected flora, fauna and woodlands. The innovation includes engine and exhaust strategies for a multitude of modes of operation, for instance the 'Inner City Mode', where the carbon emissions are lowered to almost zero, whilst still maintaining sufficient power levels.**A Global Necessity**Carbon emissions in highly populated areas are a major cause of respiratory illnesses. Asthma for example has been proven to dominate in areas where traffic emissions are very high, making the Smart-H AI solution a global must!**Predictable Models**One of the biggest problems with big vehicle data is that worthless models are often created in an environment where almost nothing is predictable or measurable, for instance taxis would be almost impossible to optimise as the routes they drive are often unknown, solely dependent on random customer-bookings.As a result, our initial technical and business plan is to engage with bus companies, and refuse collection truck operators here in Exeter, where the vehicle routes, topography and drivers are all known quantities, and therefore with enough data the emission reduction model can be created as near perfect as possible providing an immediate impact on air-quality. Once those predictable models are achieved, Smart-H will move onto the more unpredictable.**Accurate Data**One of the key difficulties facing Smart-H was finding a bus company willing to test the Q-Drive; First Group, one of the largest bus operators in the UK came to the rescue and have agreed to work with Smart-H to perfect the Q-Drive AI system using buses on busy inner-city routes. Their involvement will provide actuals that could not be achieved by engine simulations in the laboratory and help to make the project a resounding success.**A joint Initiative**With the full support of Exeter City Council, the University of Exeter and our own AI specialists, Smart-H will endeavour to turn Devon's Jewel-in-the-crown, Exeter, into a Smart, Safe and Carbon-Free City by the end of 2023\.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
登录
查看更多内容
基于SMART技术的鳄梨叶中诱导肿瘤细胞铁死亡的先导化合物的定
向挖掘
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2024
-
负责人:辛颖
-
依托单位:
基于“活性-代谢组-基因组-SMART”整合策略发掘老鼠簕内生放线菌新型先导化合物
-
批准号:82360696
-
项目类别:地区科学基金项目
-
资助金额:32万元
-
批准年份:2023
-
负责人:卢覃培
-
依托单位:
特定微环境激活的mRNA翻译(SMART)系统的设计及其免疫治疗应用研究
-
批准号:22307121
-
项目类别:青年科学基金项目
-
资助金额:30.00万元
-
批准年份:2023
-
负责人:左超
-
依托单位:
基于ANDSystem与多组学的水稻和小麦胁迫响应分子调控网络及智能作物平台(Smart Crop)的构建
-
批准号:--
-
项目类别:--
-
资助金额:105万元
-
批准年份:2022
-
负责人:陈铭
-
依托单位:
精神障碍出院患者自杀风险简短联系干预(BCIs)的实施科学研究:基于序列多次分组的随机对照试验(SMART)
-
批准号:72004140
-
项目类别:青年科学基金项目
-
资助金额:24.0万元
-
批准年份:2020
-
负责人:侯丰苏
-
依托单位:
线上强化失眠认知行为治疗(Smart-CBTI plus)对失眠障碍合并焦虑、抑郁患者的随机对照研究
-
批准号:20Y11906600
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2020
-
负责人:苑成梅
-
依托单位:
基于SMART设计建立中医药随机对照试验“随证施治”决策模型的研究
-
批准号:82074584
-
项目类别:面上项目
-
资助金额:52.0万元
-
批准年份:2020
-
负责人:荆志伟
-
依托单位:
DRiPs致病性T细胞与胰腺CUZD-1蛋白双靶向Smart-DDS诱导免疫耐受治疗1型糖尿病的研究
-
批准号:81970707
-
项目类别:面上项目
-
资助金额:55.0万元
-
批准年份:2019
-
负责人:许馨予
-
依托单位:
基于B-SMART的类风湿关节炎分级诊疗的药物治疗管理模式构建与评价
-
批准号:71804109
-
项目类别:青年科学基金项目
-
资助金额:16.5万元
-
批准年份:2018
-
负责人:张乐
-
依托单位:
面向Smart Grid基于多反馈路径的安全无线数据收集方法研究
-
批准号:61003309
-
项目类别:青年科学基金项目
-
资助金额:20.0万元
-
批准年份:2010
-
负责人:毛郁欣
-
依托单位: