Sewerage Networks Active System Monitoring for Reduced Property Flooding

由堵塞引起的“污水管网故障”被称为洪水其他原因（FOC），因为它是由排水系统在正常状态下的水力过载以外的其他原因引发的。财产损失和清理费用可能为每处财产1万英镑; 2012年，一家污水处理公司（WSC）因目前与OFWAT的谈判而无法披露，该公司有17，000起逃逸事件，费用为1700万英镑。OFWAT引入了服务激励机制（SIM），该机制通过关键指标鼓励供水公司改善其资产和客户绩效。SIM影响WSC允许向客户收取的价格（他们的价格限制）;表现不佳的将被处以1000万英镑的罚款，表现最好的将被处以更高的价格限制。除了客户，目前还没有可行的系统在FOC事件发生时发出警报。这部分是因为问题的地理范围以及拥有/运营传统监控系统的成本（3000英镑采购，500英镑/年运营）。随着下水道基础设施的老化，WSC的发展方向是创新，许多人认为下水道监测是前进的关键。环境监测解决方案（EMS）希望进行一个“原型开发”项目，以设计一个能够在被动模式下运行的遥感系统，只需很少的维护和清洁。建议的系统将包括GPRS通信技术，将报警传输到人工神经网络（ANN）为基础的中央处理模块和FOC发病率数据库。该系统将允许简单的阈值数据以可见的方式显示网络状态的表示，促使运营商进行主动管理，并在潜在的和正在发展的阻塞影响客户之前做出反应。这些仪表不存在，需要低成本;它们只能是简单的。通过与五家WSC的讨论，开发和提供拟议技术的商业提议得到了验证。

‘Sewerage network failure’ caused by blockages is known as a Flooding Other Causes (FOC)as it is triggered by something other than hydraulic overload of the sewerage system in thenormal state. Property damage and clean-up can be £10k per property; in 2012 a WaterSewerage Company (WSC) which cannot be disclosed due to current negotiations withOFWAT had 17,000 escapes at a cost of £17M. OFWAT have introduced the ServiceIncentive Mechanism (SIM) which through key indictors encourages WSCs to improve theirasset and customer performance. SIM affects the prices WSCs are allowed to chargecustomers (their price limit); poor performers are penalised £10s millions and the bestrewarded with higher price limits.No current viable system exists to alarm when an FOC event occurs, except from thecustomer. This is partly because of the geographical scale of the problem and the also the costto own/operate legacy monitoring systems (£3k procure, £500/year operate). With an agingsewerage infrastructure the direction of travel for WSCs is innovation with many identifyingsewer monitoring as a key way forward. Environmental Monitoring Solutions (EMS) wishesto conduct a ‘Development of Prototype’ project to engineer a remote sensor system capableof operating in a passive mode with little maintenance and no cleaning. The proposed systemwill encompass GPRS communications techniques to transfer alarms to Artificial NeuralNetwork (ANN) based central processing modules and FOC incidence database. This systemwill allow simple threshold data to visibly show representation of the network state,prompting proactive management by the operator and reacting to potential and developingblockages before they impact on their customers. These meters do not exist, need to be lowcost; they cannot be anything other than simple. The business proposition to develop andsupply the proposed technology has been validated through discussion with five WSCs.