AI enabled carbon footprint calculator

越来越多的政府立法机构和企业将重点放在如何显著减少排放密集型业务的碳足迹上，该项目**人工智能支持的碳足迹计算器**将提供实时决策的能力，以确保我们能够在环境和业务可持续性方面取得最佳结果，并帮助追求净零运营。该项目包括建立一个商业智能报告工具，该工具将识别不同公路维修处理使用的碳量。维修成本也将被考虑在内，为地方当局（LA）提供必要的信息，以便在选择节约碳而不是成本时做出明智的决定。该报告将直接从当局的资产管理系统（Confirm/Symology等）中获取订购数据，并通过更改报告中拟议的处理类型，提供有关货币成本和碳消耗量的数据。一旦工作完成，报告将显示成本和碳使用量之间的差异，以传统的热铺设补丁为基准，建议的处理方法和最终的处理方法（如果不同）。地方当局将有一种简单的方法来计算他们使用/建议使用的每种处理类型的碳成本，这将为他们量身定制，确保在计算中考虑当地因素和方法。这种方法将被独立验证，以确保它可以被外部各方仔细审查。一旦设置，它将需要最小的管理，只有实际的修复类型输入到数据集。预计所有其他数据将自动从LA的资产管理系统中检索。结果数据将以可视化报告的形式呈现，为洛杉矶官员和当选成员提供明确的信息。

Increasingly government legislation and companies are focused heavily on how they can significantly reduce the carbon footprint of emission intensive operations, the project **AI enabled carbon footprint calculator** will provide the ability to make decisions in real time to ensure we can achieve the best possible outcomes in relation to the environment and business sustainability and help with the pursuit of net-zero operations.The project involves building a Business Intelligence reporting tool which will identify the amount of carbon different highway repair treatments use. Cost of the repair will also be considered, giving the Local Authority (LA) the information required to make informed decisions when choosing carbon saving over cost.The report will take ordering data directly from the Authorities' Asset management system (Confirm/Symology etc) and by altering the proposed treatment type in the report give data on both monetary cost and the amount of carbon consumed.Once the job has been completed the report will show the difference between the cost and the amount of carbon used, benchmarked against a traditional hot-lay patch, the proposed treatment and the final treatment, if different.There will be a simple way for Local Authorities to be able to calculate the carbon cost for each type of treatment they use/propose to use which will be bespoke to them, ensuring local factors and methodology is considered in the calculations. This methodology will be independently verified to ensure it can be scrutinised by external parties.Once set up it will need minimal management with only actual repair types entered into the data set. It is envisaged that all other data will be automatically retrieved from the LA's Asset Management system.The resulting data will be presented in a number of visual reports giving clear information for both LA Officers and Elected Members.