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Predictive analytics, AI and ML are the buzz words in today’s day to day business. Whether be it they are part of SAP Leonardo or Big Data analytics or Data Science technologies. They have great potential to change the way the business is running today and there are already many number of Uses cases covering Social Science, Fraud detection, Retail, and Medical analytics etc. I would like to list out some use cases specially with respective to how they can be of help to SAP Environment, Health and Safety Management module perspective.
– Worker Safety assessment is the one of the widely used use case to show case the capabilities of the IoT, Big Data and is certainly the most important use case for oil and nature gas refineries and places where such obnoxious gases are released either knowingly or unknowingly. The timely monitoring of the sensor readings and their real time tracking of the increased levels with the personal biological matrices are useful in managing the safety of the persons.

– The second such cases where the data from the sensors is used to analyze the predict is ambient monitoring in industrial boilers or sites operating the streaming the CEMS on a continuous manner for meeting the Permits. By tracking the pollution levels on a continuous manner for different combinations of the pollutants it is possible to pin point on a exact manner which combination of fuel / reactor could be the root cause like leak detection etc.,. Which can trigger equipment maintenance.

– The third such use case is around the prediction of injury while operating at a certain equipment or location. By evaluating the different root causes for a certain incident it is possible to evaluate the behavior data / equipment parameters and / or skill level and nature of incidents that might be recurring on a continuous manner. Though detailed behavior based assessment is currently not part of EHSM but the core Incident information will be of great help in carrying out the assessment.

– The next big data analytics can be applied to track the Chemical Compliance checks with respect to product marketability assessments. By combining the product characteristics along with different regional database it can be possible to evaluate the product marketability in real time.

– Next big application of IoT and ML is on the transportation of Dangerous Goods transportation equipment and real time monitoring and control of parameters to manage the Dangerous goods. A series of Continuous sensors along with DG data will be of great help in monitoring and controlling the required parameters to safe guard the people and assets while transporting.

– The next application is around the substance volume tracking along with internal consumption and import details for a particular chemical along with detailed market insights about the production scenarios and trade barriers impacting he salability of a particular chemical companies can take decision in real time whether to opt for a particular suppliers or particular region while sourcing the chemicals and also importing the chemicals.

Besides there are many cases where SAP Leonardo / IoT / ML can be applied without core SAP EHSM module like management of Agricultural Production, its evaluation be it monitoring of physical parameters, production data, use of Spatial technologies and also a use case around real time pollution management, which happened to be my Doctoral Thesis using conventional TCP / IP technologies way back in 2004.

Thanks and Regards
Jayakumar

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9 Comments

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  1. Former Member

    Good article Jayakumar and thanks for sharing details!

    I think the prototyping and user personas may be the challenge in SAP Leonardo in different business cases and situations. Not sure how well EHSM is capable now to handle different sensor data in different formats and for seamless integration and providing real time analysis .Also i believe  there are other IoT applications which are already having these capabilities,so need to see how well SAP Leonardo will do.

    Regards

    George

     

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    1. Jayakumar Indracanti Post author

       

      Hello George,

      To answer, IoT scenarios all define the 3V’s of Big Data and qualify as big data. The costs to transmit huge amounts of sensor data from the source to a central business system has become cheaper, in 2004 the cost to transmit 10 lines of sensor reading use to cost 0.25$. Companies now want to leverage this situation and drive innovation in terms of efficiency improvements, new business models. This is the reason why there is so much discussion about these topics.

      Now coming to the integration of the system with ERP they would not be embedded as one single system rather they would be packed in different layers. Here the SAP IoT solution consists of three layers i) Device Layer, it consists of many sensor and device and compatible with device communications protocols like OSI Soft ii) Big Data Platform typically HCI is used to integrated the HCP and business system and iii) Enterprise business platform.

      So overall approach would be , IoT applications are based on the following processing of data, i. Sensors attached to a thing emit data ii) Sensor data is transmitted to IoT solution in a raw format iii) Processing of the sensor data in a domain specific format and stored on the IoT application system iv) Automated processing of information to give business insights (Machine Learning are often leveraged here) v) sending back the information to thing and vi) Triggering business process in SAP System.

      In the explanation I have included three different fields, i) SAP Predictive Analytics ii) SAP Leonardo – IoT and Machine Learning.

      If you are interested to explore more, I recommend checking the SAP Press Books on the topic like i) SAP HANA Cloud Integration ii) Getting Started with SAP HANA Cloud Platform and iii) SAP Predictive Analytics, besides many Open SAP Courses on said topics.

      Hope it helps.

      Thanks and Regards

      Jayakumar

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      1. Former Member

        Hello Jayakumar,

         

        Very informative and appreciate your inputs. I am sure SAP Leonardo will have huge impact in IoT application . Hopefully we will see more and more IoT applications with EHSM soon.

         

        Best regards

        George

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  2. Christoph Bergemann

    Dear Jayakumar

    do you have more specific information regariding:

    – Next big application of IoT and ML is on the transportation of Dangerous Goods transportation equipment and real time monitoring and control of parameters to manage the Dangerous goods. A series of Continuous sensors along with DG data will be of great help in monitoring and controlling the required parameters to safe guard the people and assets while transporting.

    – The next application is around the substance volume tracking along with internal consumption and import details for a particular chemical along with detailed market insights about the roduction scenarios and trade barriers impacting he salability of a particular chemical companies

    can take decision in real time whether to opt for a particular suppliers or particular region while sourcing the chemicals and also importing the chemicals.

     

    Any link would be helpful (as well infomation on potential timelines at which a soltionmight be available.

    C.B.

     

     

     

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    1. Jayakumar Indracanti Post author

      Hi CB,

      I have mentioned those use cases based on my preliminary assessment of the IoT functions and EHS domain requirements. You can find similar use cases browsing SAP Vehicle Insights cloud application – https://eaexplorer.hana.ondemand.com/_item.html?id=11970.

      Similarly for REACh also it is not a use case from SAP I have given this as an example beside many other possible scenarios like real time transportation management and Geospatial assessments, utilities / water / wastewater insights etc.

      Thanks and Regards

      Jayakumar

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