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首页> 外文会议>Advances in Computational Methods in Sciences and Engineering 2005 vol.4A; Lecture Series on Computer and Computational Sciences; vol.4A >Odor Fingerprinting/Monitoring within a Processing Industry Environment by Means of Distributed Biosensors - The Case of Oil Refineries
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Odor Fingerprinting/Monitoring within a Processing Industry Environment by Means of Distributed Biosensors - The Case of Oil Refineries

机译：借助分布式生物传感器在加工业环境中进行气味指纹/监控-炼油厂的案例

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The escalating public concern about odor pollution prompts the efforts to establish control programmes in many countries. In practice, controlling odorants is a very complex problem: sources and emissions have to be identified, analytical methods have to be evaluated, risks have to be assessed, critical emissions have to be controlled, and economical aspects have to be integrated. This-paper addresses odor monitoring through a holistic approach, involving odor fingerprinting, source identification and remedial activities to reduce emissions in facility design and operation, through a biosensor network and an effective communications between the offending facility and those groups that may be negatively impacted by odors. Biomonitoring is realized through a suitable developed computer-aided selection program, that, considering the odorous mixture and its source, is almost tailor-made for the specific needs at hand in order to minimize uncertainty and monitoring costs and increase reliability of odor control and abatement. The response of a range or array of sensors can be monitored through separate temporal and/or spatial Geographical Information System (GIS) layers and subsequently correlated by means of a relational database, so that odor levels can be recorded either systematically or as function of time and/or space. Significantly, a novel system in the form of a rational framework at the conceptual design level has been developed, that actually contributes towards achieving a cost-effective long-term monitoring program, with the flexibility to counter on-course any (anticipated or not) variations/modifications of the surveillance environment. The advantages of this novel and pioneering approach will further offer a dynamic system utilized in (a) odor impact studies and risk assessment (positive/analytic approach), (b) decision-making in the short-run (normative/tactic approach), and (c) policymaking in the long-run (normative/strategic approach).
机译：公众对气味污染的日益关注促使许多国家努力建立控制计划。在实践中，控制加味剂是一个非常复杂的问题：必须确定来源和排放，必须评估分析方法，必须评估风险，必须控制关键排放以及必须综合经济方面。本文通过整体方法解决了气味监控问题，包括气味指纹，污染源识别和补救措施，以通过生物传感器网络以及在有问题的设施与可能受到负面影响的那些团体之间进行有效的沟通，减少设施设计和运营中的排放气味。通过适当开发的计算机辅助选择程序可以实现生物监测，该程序考虑了有气味的混合物及其来源，几乎是针对手头的特定需求量身定制的，以最大程度地减少不确定性和监测成本，并提高气味控制和消除的可靠性。传感器范围或阵列的响应可以通过单独的时间和/或空间地理信息系统（GIS）层进行监视，然后通过关系数据库进行关联，以便可以系统地记录气味水平或根据时间记录气味水平和/或空间。值得注意的是，已经开发了一种在概念设计级别上以合理框架形式出现的新系统，该系统实际上有助于实现具有成本效益的长期监控程序，并且可以灵活地应对任何（预期的或未预期的）进程监视环境的变化/修改。这种新颖和开创性方法的优势将进一步提供一个动态系统，可用于（a）气味影响研究和风险评估（阳性/分析方法），（b）短期决策（规范/策略方法）， （c）长期的政策制定（规范/战略方法）。

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