- 自动化与控制 - 分布式控制系统
- 自动化与控制 - 人机界面 (HMI)
- 传感器 - 气体传感器
Chettinad Cement 认识到可以在其水泥制造过程中实现进一步的效率。它希望投资于综合运营和控制技术，以管理并从其在印度的第二家工厂 Line 2 的资产中获得生产力和能源效率收益。
Chettinad Cement 作为 Chettinad Group 的一部分，是印度南部的主要水泥供应商。
Chettinad 将 Line 2 控制系统升级为 ABB System 800xA，包括最新的人机界面。还采用了驱动器、电机和变送器，以确保安全操作和最佳性能。 ABB 气体分析仪用于监测产品质量和氮氧化物 (NOx)、硫氧化物 (SOx) 和其他气体成分的合规性。 Knowledge Manager 解决方案用于管理生产和质量。
Asset Performance, Device Diagnostic Status, Energy Cost Per Unit, Process Procedure, Production Efficiency
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Digitalising QC records
Ready-mix concrete batching plant with seasonal demand 6,000 to 12,000 cu.metre per month.Batch-cycle records for each truck is stored in paper format. 1000 to 2000 truck loads per month, generating ~2000 to 6000 paper records.QC anomaly detection in chemical batch-mixing is manual & time consuming.
Building Custom Industrial Applications
Power a revolutionary software platform regardless of network connectivityGE Digital’s software team developed an innovative solution to address these data challenges head-on. The team’s Predix cloud-based platform allows organizations to build tailored mobile apps that help field personnel collect and analyze data from intelligent machines.The initial release of Predix was a great step toward helping field workers monitor, maintain, and troubleshoot equipment. But the GE Digital team also learned that Predix required a data platform that could provide strong stability without relying on internet connectivity
JSW Tracked and Caught Errors Across Multiple Factory Floors in Real-time
JSW’s steel manufacturing is spread over multiple manufacturing plants, each home to dozens of machines of various types. Each machine has numerous sensors tracking multiple data points and supplying event data every 2-3 seconds. Types of data include field maintenance, material consumption, and machine usage. The data is saved in each machine’s database, in a proprietary manufacturer format. Then, each machine transfers data to the central Oracle databases.Although the process works, error reporting and handling are lacking. Because each machine uses its own data protocols, the data transfer processes are “closed” and there’s no standard way of reporting errors as they occur or passing error codes to other systems. Therefore some errors go unnoticed for a very long time. An example is the production of metal with incorrect dimensions. When this error goes unnoticed for a while, it results in financial losses.
Slovenian Smart Factory manages Electricity Consumption
Salonit also has a strong environmental regulation compliance strategy and it is dedicated to optimizing and reducing energy consumption. The goal was to reach the top 10 % of the most energy-efficient cement factories in the European Union. But producing clinker is energy-intensive: its electricity consumption averages 85 GWh, with 2500 Tera Joules of energy used for clinker burning. In the past years, Salonit’s energy bills went up to 9 million EUR per year, mainly for electricity. Salonit needed to comply with European energy regulations. The company could leverage a co-financing mechanism to invest in equipment and monitoring solutions that help meet the energy consumption reduction target.
Conveyor Belt Monitoring
In a smart environment of management, control and industrial automation, one of the key elements to anticipate failures and increase productivity is to be able to monitor the status and use of conveyor belts of any kind of sector, whether it is for logistics or manufacturing.