CECA - Collaborative Approach for Decision Makers in Heterogeneous IoT Environments
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The document discusses a collaborative approach (CECA) for integrating heterogeneous IoT systems and data sources to provide insights for decision makers. CECA uses data clustering and correlation algorithms to analyze sensor, asset, and user data from systems like cameras, WiFi networks, and physical security. It has an open source cloud-ready architecture and integrates technologies like big data analytics. Example use cases include improving operations at airports, farms, industrial plants, and smart cities by combining data from various IoT systems.
CECA - Collaborative Approach for Decision Makers in Heterogeneous IoT Environments
- 1. C E C A Collaborative Approach for Decision Makers in Heterogeneous IoT Environments
- 2. THE CHALLENGE Welcome to new era of data chaos! In today's world industries are facing a market becoming more and more competitive. Have the better understanding in what data generated by your business is trying to tell you will help the decision-making process and perhaps it can be the key to position you some steps ahead of competition. The fact is IT solutions, Internet of Things (IoT) subsystems or whatever digital systems that produce tons of data in today's operation environments are working isolated, and even worst: Those systems don't share each other data with purpose to convert them into meaningful information to be wisely harnessed by decision makers. How do you use hundreds and thousands of different data to support your decision-making process? How effective is your data correlation to generate business insights? How many different sources of data does your business have today?
- 3. Collaborative Approach for Decision Makers in Heterogeneous IoT Environments
- 4. System integration (cameras, sensors, Wi-Fi, physical security subsystems, IP telephony system, air traffic management, etc) and data correlation fostering real time insights for decision makers. Assets and infrastructure integration plus data correlation to feed decision-making process. CECA INTERFACE
- 5. Implemented the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) which is data clustering algorithm to facilitate browsing through elements like sensors, systems, assets and even people on the screen. The platform was designed to be compatible with IEEE specification: P2510 - Standard for Establishing Quality of Data Sensor Parameters in the Internet of Things Environment. This standard defines quality measures, controls, parameters and definitions for sensor data related to Internet of Things (IoT) implementations. CECA INTERFACE
- 6. CECA INTERFACE People indoor tracking Temperature sensor information
- 7. Integration with voice assistant to empower the daily user operation procedures: “alexa, ask ceca to tell me about temperature sensors status in sector x” "alexa, ask ceca to tell me how many people are in sector x“ "alexa, ask ceca to tell me how many cows are presenting low threshold vital signs" CECA INTERFACE
- 8. HOW IT WORKS DASHBOARD CONNECTOR MANAGER SQL STREAM PROCESSING EVENT RECEIVER SENSORS DATA ANALYTICS
- 9. ARCHITECTURE ACHIEVEMENTS • Save your investment: CECA is completely open source based. • Low cost of implementation and operation: Keeping your CAPEX and OPEX in the right balance. • Cloud-ready solution: The platform was developed on cloud operating system allowing CECA to be migrated either to private or public cloud environment. • Seamlessly integration with different vendors technology • IEEE compatible: PAR-2510 Establishing Quality of Data Sensor Parameters in the Internet of Things Environment. • New sensors: API available to attend third-parties system needs and SDK to add new sensors type to the platform. • Big Data & Analytics: It employs set of tools to automate data mining, store massive amounts of data and allows predictive and statistical modelling.
- 10. Wi-Fi Network Physical Security Communication Collaboration Big Data and Analytics TECHNOLOGIES INTEGRATED
- 11. INTERNET OF THINGS 2016 2019 2020 27B Connected devices $53B Wearable market Connected devices: $9T Global IoT market75B 50B 29B 26B 25B Source:MorganStanley,Cisco,IDC,Siemens,Gartner.
- 12. WORLDWIDE IOT INVESTMENTS WHERE ARE THEY? CECA 2015 2020 Source:https://www.statista.com/statistics/666864/iot-spending-by-vertical-worldwide/
- 13. Public Transportation The solution can be used in context of Internet of Things (IoT) to improve decision-making process in smart airport market. The objective is increasing efficiency on managing the traffic of passengers, airport staff, ground personnel and overall physical security. USE CASES Agriculture 4.0 (Farming Technology) The adoption of modern techniques - oriented to the digital - are being used to improve food production in the world. A new IoT networking fed by data from agricultural machinery, sensors, animals, people, tools should generate insights to better realize investments in CAPEX and OPEX. In this scenario CECA can help a lot. Industrial Plant It plays important role fostering Integration between OT and IT worlds by creating a common bridge between multiples IoT sub-systems and IT tools. Operation environments can take leverage of connect, classify and process multiples sources information to take actions in real time becoming the day operation less complex and more predictable. Smart City CECA can be the protagonist to integrate several sensors and edge devices that are residing in Last Mile of city's context. Due to its onboarding big data and analytics capabilities it can be also straightforward integrated with smart grid system (smart lighting), smart garbage, public transportation and useful to improve public security policies.