Electricity + Control October 2017

ANALYTICAL INSTRUMENTATION

Industry 4.0: The term ‘In- dustry 4.0’ was first used in 2011 during the Han- nover Fair in Germany. It is part of a project within the high-tech strategy of the German government that focuses on the computer- isation of manufacturing. The basic idea of the name is that the use of water and steam power mechanised production and became the first industrial revolution. The second industrial revo- lution introduced electricity and mass production. The digital revolution improved the production process with electronics and IT. Big Data: Generally speak- ing, ‘Big Data’ describes sets of data that companies produce that are so huge that traditional methods of processing do not work on them. The term implies that these data sets are stored in an unstructured way and on separate systems. Internet of Things (IoT): This term refers to the idea of connecting physical objects like buildings, ve- hicles etc. and equipping them with sensors so that they are able to collect and exchange data with each other. The Internet of Things was coined by Kevin Ashton, a British technology pioneer. Industrial Internet ofThings (IIoT): IIoT is the use of IoT technologies in manufactur- ing. Digitisation: This basically means the conversion of certain information into digi- tal data. But in recent years it has become the name of the general trend towards the usage of process data to optimise performance of companies.

optimised functionality and best efficiency of the digital mine. The reality today is often a less than streamlined or smooth operation. It is character- ised by closed system silos, missing interfaces and many manual data transfers, thus causing po- tential errors. These decoupled system silos can be con- nected to form an elegant overall system with a continuous data flow, with the company’s BPI con- cept (Business Process Integration). BPI acts as middleware beneath the sub-systems, forming a shared platform for data exchange between these systems. This is not just limited to the IT world however, by using Industrial Ethernet at field and control level, automation components can be inte- grated in the overall system. Digital communication enables advanced measurement sensor diagnostics which can form the basis of effective process condition monitor- ing and preventative maintenance measures or calibration requests which can be triggered in the ERP system. Many of the company’s smart measurement sensors can be used to monitor process condi- tions and verify measurement integrity. HEARTBEATTechnology Several examples of HEARTBEAT Technology’s benefits are used in the concentration processes in many copper and gold mines, one example in froth flotation tanks: A Promass 100 Coriolis flow meter will schedule a flocculant batch remix by measuring changes in the medium chemistry. The aim is to produce process optimisation and stabil- ity using a combination of smart sensors which monitor their own performance, indicate process anomalies and tell maintenance when things need cleaning or recalibrating. Big Data made easy In order to get close to this goal of maximum pro- cess efficiency at the lowest possible cost, intu- itive and reliable process asset management is crucial. Big Data asset management software which is manufacturer-neutral: the cloud-based asset management toolbox, called W@M (Web enabled Asset Management) has proven beneficial to man- agement, maintenance, process engineers and metallurgists in generating plant wide process improvements and providing relevant and reliable data on process wide performance.

inventory values and planned material movements is the key to reducing warehouse stocks and at the same time, improving the delivery service. Relia- ble measurement technology is the fundamental basis for this supply chain management.

Figure 1: The three axes of data integration: Along the value creation chain, from field to control level and from planning maintenance. Measurement For data communication, Endress+Hauser can plug most available fieldbus technologies directly into their smart measurement sensors. In addi- tion, the local data transmission unit, Fieldgate, with an integrated web server, allows for global data acquisition via private and public communi- cation networks. A standard internet browser is sufficient for querying inventory data. Fieldgates not only provide current measured values, but offer the possibility of monitoring de- vice stations, requesting information and sending data directly to a superordinate inventory manage- ment software system such as SupplyCare. Sup- plyCare offers convenient access to the current fill levels in tanks and silos from the comfort of your desk, and offers extensive functions for inventory management. This option can be used with an integrated e-mail function making it possible for to easily re- quest supplies quickly. With the analysis module, you can calculate and evaluate Key Performance Indicators (KPIs). Full control of your basic processes When it comes to vertical integration, intelligent networking between sub-systems of mine pro- cess, from the ERP system to operating and control level and on to field level, is essential for

Electricity + Control

OCTOBER 2017

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