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过程控制与优化
概述
过程控制和优化 (PCO) 是在不违反过程约束的情况下调整过程以维持或优化一组指定参数的学科。 PCO 市场受到对节能生产流程、安全和安保问题的需求不断增长以及能够可靠预测流程偏差的物联网系统开发的推动。从根本上说,可以调整三个参数以影响最佳性能。 - 设备优化:第一步是通过检查运行数据以识别设备瓶颈来验证现有设备是否被充分利用。 - 操作程序:操作程序可能因人而异或因班次而异。工厂的自动化可以提供很大帮助。但是,如果操作员控制并手动运行工厂,自动化将无济于事。 - 控制优化:在典型的加工厂,例如化工厂或炼油厂,有数百甚至数千个控制回路。每个控制回路负责控制过程的一部分,例如保持温度、液位或流量。如果控制回路没有正确设计和调整,则过程会低于其最佳值。该过程的操作成本将更高,并且设备会过早磨损。为了使每个控制回路以最佳方式运行,识别传感器、阀门和调整问题很重要。已充分证明超过 35% 的控制回路通常存在问题。持续监控和优化整个工厂的过程有时称为绩效监督。
适用行业
- 运输
- 设备与机械
- 化学品
适用功能
- 离散制造
- 质量保证
市场规模
案例研究.
Case Study
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Case Study
Industrial IoT in Heavy Equipment
Keeping machines up and running, in safe condition and at their top performance is a must. Getting from them a real-time information on their status to anticipate possible failures and downtime is an absolute need. Collecting operational data from the machine to monitor business processes, detect bottlenecks and inefficiencies is a key factor to improve time terminal performance. And presenting the data in a friendly, customizable graphical interface, displaying the machines and business KPIs evolution and real-time status is a key factor to keep the team aligned with the company goals.
Case Study
IBM InfoSphere Streams Powered by CloudOne
InfoSphere Streams (STREAMS) provides an advanced analytics platform that allows user-developed applications to quickly digest, analyze and correlate informational data as it arrives from thousands of real time sources.STREAMS can process high speed data throughput rates, up to millions of events/messages per second. This solution is designed to give your team the most flexibility for managing data collection applications and services, while letting CloudOne manage the servers for threats or mistakes.