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首页> 外文会议>Water Environment Federation annual technical exhibition and conference >Asset Management Decision Support Tool for Improving Operations, Management and Capital Investments for Treatment and Reuse - Integrating Asset and Process Models for Real Time Data Capture for Analysis and Optimization of Combinations of Processes and Assets
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Asset Management Decision Support Tool for Improving Operations, Management and Capital Investments for Treatment and Reuse - Integrating Asset and Process Models for Real Time Data Capture for Analysis and Optimization of Combinations of Processes and Assets

机译：资产管理决策支持工具，用于改善处理和重用的运营，管理和资本投资 - 整合资产和流程模型，了解实时数据捕获，以进行分析和优化流程和资产的组合

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This paper discusses the development and application of Asset Management Intelligent Decision Support Tool (AMIDST) to improve the management of plants, distribution, collection and water reuse systems. The tool analyzes the combinations of operating set-points and assets. It is integrated with the plant systems such that it captures the current data on equipment condition, operating status and on flows and loads prior to each run. It provides this information to technical support and asset management teams such that they can analyze 10,000+ combinations of assets and operating conditions across the treatment plant, water distribution, wastewater collection and water reuse systems, and complete this within 1 to 4 hours. The user can use the information from the simulations based on algorithms for the biochemical and physic-chemical processes and calibrated to accurately represent the effluent quality. This allows a better estimation of the impact of the failure and change in operating status of various pieces of equipment and tanks. This information is used to improve the consequence of failure (COF) score, which helps improve the estimate of Business Risk Exposure (BRE). The 10,000+ combinations can then be used to conduct financial analysis and discover potential investments that can be made to address financial efficiency failures. Unlike conventional asset management tools which allow computation of financial efficiency failure at a particular blower or treatment system level, the tool can be used to analyze failure of combinations of equipment and systems. This allows the asset management team to develop capital investment projects with the right size, the right scope and make the investment at the right time. At a more basic level, the analytical tool for asset management overcomes several limitations in Distributed Control Systems (DCS) and SCADA systems. With its ability to look at global optimization in addition to local optimization, it overcomes several limitations in capacity experienced when plants upgrade their control systems through local optimization of secondary treatment, tertiary treatment and solids handling. The Utility has the option to use the tool in an Off-line mode while capturing the current data, or in an On-line mode with real time optimization to generate additional savings and revenues. It can be used to provide intelligence to maintenance teams which help prioritize corrective maintenance and improve preventive maintenance on sections of the plant or water utility enterprise that have a larger impact on revenue or liability for every dollar invested. Overall, it helps operations, maintenance and asset management teams manage risks, have better tools to manage compliance, and lower the life cycle costs. This helps reduce the rate of increase in water rates.
机译：本文讨论了资产管理智能决策支持工具（Amidst）的开发和应用，以改善植物，分配，收集和水再利用系统的管理。该工具分析了操作设定点和资产的组合。它与工厂系统集成，使得它在每个运行之前捕获设备条件，操作状态和流量和负载上的当前数据。它为技术支持和资产管理团队提供了这些信息，以便他们可以分析10,000多个资产和经营条件的组合，并通过处理厂，水分配，废水收集和水再利用系统，并在1至4小时内完成这一目标。用户可以根据生物化学和物理化学过程的算法使用来自模拟的信息，并校准以精确地表示流出质量。这允许更好地估计失败的影响和各种设备和罐的操作状态的变化。该信息用于改善失败（COF）得分的后果，这有助于改善业务风险暴露的估计（BRE）。然后，可以使用10,000多种组合来进行财务分析，并发现可以使财务效率失败的潜在投资。与允许在特定鼓风机或治疗系统级别计算财务效率故障的传统资产管理工具不同，该工具可用于分析设备和系统组合的故障。这使得资产管理团队能够以合适的规模，正确的范围开发资本投资项目，并在合适的时间进行投资。在更基本的级别，资产管理的分析工具克服了分布式控制系统（DCS）和SCADA系统的几个限制。除了当地优化之外，它还能够查看全球优化，它克服了在植物通过局部优化次次处理，三级治疗和固体处理的局部优化时升级控制系统的能力的几个限制。该实用程序可以选择在捕获当前数据的同时在离线模式下使用该工具，或者在线模式下使用实时优化以产生额外的节省和收入。它可用于为维护团队提供智能，这有助于确定纠正性维护的优先级，并改善植物或水公用事业企业部分的预防性维护，对投资的每一美元对收入或责任进行更大影响。总的来说，它可以帮助操作，维护和资产管理团队管理风险，具有更好的工具来管理合规性，并降低生命周期成本。这有助于降低水费率的增加速度。

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