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
Kospo Met Increasing Market Demands with Existing Turbine Upgrade
Kospo needed a way to provide a higher reserve margin. Given the rise in demand due to a positive economic environment, Kospo looked to upgrade their fleet of 7F gas turbines to provide additional capacity while controlling emissions.
Case Study
Digital transformation - Retrofitting for ... coffee machines?
The original idea was about finding an easy yet effective way to demonstrate how Industrial Internet of Things can disclose amazing opportunities about networking, devices and data management.The main objective of this nerdy project was clearly to showcase how Endian solutions could be integrated with an industrial environment made up of machinery and PLCs.To achieve our goal we needed a mini-factory, which could show in real-time both a whole production process, and Endian integration with the data provided by the mini-factory itself.
Case Study
Concur's Journey to One Billion Couchbase Operations Per Day
Concur is a leading provider of integrated travel and expense management solutions for companies of all sizes. As a leading SaaS provider, Concur constantly seeks to improve scalability and performance across their architecture and infrastructure stack especially the database and storage tiers.Initially, Concur utilized a homegrown caching system that turned out to be expensive and complicated to scale. They wanted to replace it with an open source solution that could help laterally scale their application, and provide the resilience and redundancy they needed with simplicity and efficiency. They also wanted the new solution to support their aggressive plans for using NoSQL technology extensively throughout their stack in the future.
