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Siemens' MindSphere, Cloud for Industry, powered by SAP HANA Cloud platform
Industrial Automation has been more effective in manufacturing industry than ever, big companies who generate mass production started to use devices as per the standard "Industry 4.0" i.e. Cyber Physical Systems , industry equipment attached with sensors and micro-controllers. Manufacturing companies from different genres like chemical, pharmaceutical, automobile industries want to introduce more effective optimization over the processes and they want a complete automated chain of processes for mass production.
Siemens has designed a cloud system named MindSphere to accommodate the next business model in heavy industries.
The cloud system will receive data from IoT devices , the data would be processed inside the cloud and also physical equipments could be administrated through a digital dashboard.
MindSphere, Cloud for Industry, offered by Siemens, is based on SAP HANA Cloud. The company preferred HANA Cloud to utilize the power of In-Memory computing and the open standards maintained by SAP HANA Cloud platform. With this, real time data analysis and processing of big data would be possible, which will ignite the efficiency in process chain of manufacturing industries.
MindSphere is an open infrastructure designed on SAP HANA Cloud which gives it the flexibility of open ecosystem, thus customers and developers could build custom applications on it as per their need. It is offered with application building framework, with which clients can deploy cloud apps to drive their business processes efficiently.
The data which is fed from sensors and received into the cloud could be processed in real time by SAP HANA, this can transform the big data into smart data which will provide smart insight of information , thus real time decision could be taken effectively. The cloud for industry is bundled with a wide range of services to optimize processes in manufacturing industry. MindSphere interlinks the physical production system with digital form and helps to optimize asset performance, energy consumption, time required for production, maintenance and services. Think about an example, a process in chemical industry could transmit data for analysis into the cloud and after analysis if it's found that in a particular temperature the process would act more efficiently, then in real time it would be possible to change the parameters of that process in the physical system in more effective way. Remote access to your assets , continuous monitoring, real time data analysis and an automated cybernetics system with less manual intervention ,all these would be possible through this.