How Olympus Controls Automates Predictive Maintenance with Telit, MQTT and InfluxDB
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Olympus Controls specializes in simplifying the integration of motion control, machine vision, and robotic technologies through better automation. They partner with their clients from creation to implementation, and nearly half of the Fortune 100 use Olympus Controls to improve manufacturing plants and factories. Discover how Olympus Controls uses a time series database to collect and analyze industrial sensor data, which is ultimately used to increase their customers' competitive advantage. Join this webinar to learn as Nick Armenta dives into: · Olympus Controls' strategy to developing hardware and software used to improved IIoT monitoring · How they use Telit and MQTT to reduce siloed manufacturing operations, including monitoring robotic arms (i.e. vibration and temperature) · Their approach to developing IoT analysis using InfluxDB, Telegraf and Flux
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Cisco Systems’ Cisco Live conference is held annually in the winter in Europe and in the summer in the United States. A typical US event hosts 600+ breakout sessions, dozens of keynotes, Certification Testing and walk-in labs. The conference serves over 26,000 attendees and all their mobile devices. The internal network team is responsible for ensuring that 2,200 wireless access points and 800 switches are providing sufficient network connectivity, availability and bandwidth for all attendees, speakers and organizers across 2 million square feet of conference space. Over 9 days (4 days of setup and 5 conference days), event staff and attendees have pushed over 84 terabytes of data from the conference to the internet! Dual 100 Gigabit/second primary links and backup 10 Gigabit/second links handle anything the users can throw at it.
The infrastructure required for this event also includes servers, VMs, and containerized workloads. With the growing need for hybrid events, Cisco’s team also ensures 100% video streaming uptime. Discover how Cisco uses InfluxDB to store key performance metrics across many IT domains alongside their commercial management solutions. The team continues to iterate and improve year-over-year to gain visibility into their network and devices to streamline troubleshooting and quickly respond to events before they become service impacting.
In this webinar, Jason Davis dives into:
Cisco’s approach to using automation, orchestration, Python scripts, SNMP, and streaming telemetry to collect network data
Their methodology to troubleshooting, prioritizing, and scheduling fixes to ensure the best client experience
How a time series platform is crucial to their real-time data analysis
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The document provides instructions for setting up the environment and coding tutorial for the BOSS'21 Copenhagen tutorial on Apache Calcite.
It includes the following steps:
1. Clone the GitHub repository containing sample code and dependencies.
2. Compile the project.
3. It outlines the draft schedule for the tutorial, which will cover topics like Calcite introduction, demonstration of SQL queries on CSV files, setting up the coding environment, using Lucene for indexing, and coding exercises to build parts of the logical and physical query plans in Calcite.
4. The tutorial will be led by Stamatis Zampetakis from Cloudera and Julian Hyde from Google, who are both committers to
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A quick walk through InfluxDB and TICK Stack.
Telegraf (Collect), InfluxDB (Store), Chrongraf (Visualize), and Kapacitor (Process).
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- Where could TICK Stack be used?
cLoki: Like Loki but for ClickHouse
Presentation by Lorenzo Mangani of QXIP at the October 26 SF Bay Area ClickHouse meetup
https://www.meetup.com/San-Francisco-Bay-Area-ClickHouse-Meetup
https://qxip.net/
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Join this webinar as Jared Evans dives into:
MAJiK's approach to data-driven Industry 4.0 monitoring
Industrial IoT best practices - including when to use specific protocols (Modbus, OPC-UA, MQTT, Ethernet/IP, or S7 TIA)
How data from Programmable Logic Controllers (PLCs) can be integrated into InfluxDB - which helps process engineers monitor the telemetry of any automated process or production method
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Beautiful Monitoring With Grafana and InfluxDB
Query your data streams with the time series database InfluxDB and then visualize the results with stunning Grafana dashboards. Quick and easy to set up. Fully scalable to millions of metrics per second.
Intro to InfluxDB
In this training webinar, we will walk you through the basics of InfluxDB – the purpose-built time series database. InfluxDB has everything you need from a time series platform in a single binary – a multi-tenanted time series database, UI and dashboarding tools, background processing and monitoring agent. This one-hour session will include the training and time for live Q&A.
What you will learn
Core concepts of time series databases
An overview of the InfluxDB platform
How to ingesting and query data in InfluxDB
How to Monitor DOCSIS Devices Using SNMP, InfluxDB, and Telegraf
Wide Open West Is one of the US' top broadband providers with over 3,000 employees. They aim to connect residential homes and businesses to the world with fast and reliable internet, TV and phone services. WOW uses SNMP and Telegraf to collect network data from cable modems and metrics from VMs/containers; they use Kafka to stream all time-stamped data to InfluxDB. Kapacitor is used to send alerts to Slack, ServiceNow, and email. Discover how WOW is using a time series platform to collect, monitor, and alert on their entire service delivery network.
Join this webinar as Peter Jones and Dylan Shorter dives into:
WOW's approach to reducing infrastructure downtime and improving service uptime
Observability and alerting best practices
How they use the InfluxDB platform to monitor 600K + devices
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[GERMAN]
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Design Like a Pro - Best Practices For IIoT
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plc8-200417125816.pdf
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Join this webinar as Spencer Gagnon dives into:
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Their entire system architecture — including InfluxDB Cloud, Grafana, Kafka, and DigitalOcean
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This document contains the agenda for Day 2 of InfluxDays 2022, which includes:
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- 2. • Technology explorer • B.S. E.E. UTA ‘12 • Automation in manufacturing since graduation • Diverse experience • Industries - Aerospace, defense, telecom • Companies – Garages to aircraft hangars • Departments – R&D, production, sustainment • Hobbyist • Deep learning – Mostly GAN’s • IoT – Edge data to AI cloud endpoint • Home automation – Cost analysis/reduction
- 3. • Olympus Controls is an automation solutions provider, not an integrator • We’re the first one our customer calls when they realize they have a problem • Engineering oriented and root cause focused • Driven by the need to solve complex, ambiguous problems • These 21st century problems require 21st century solutions • Practical experience with newest technologies
- 4. • Analysis – Factory Tour • We analyze current operations to identify areas of both immediate and long-term potential impact • Planning – Automation Roadmap • We phase our automation deployments to align with core objectives by utilizing an automation roadmap • Deployment – Onsite Installation • We collaborate with internal engineering resources and outside firms to deploy our technology into your processes quickly and effectively • Improvement – Remote Monitoring • As a growth-oriented company we understand processes can always be improved and provide insights into the health and productivity of our systems What? Why? Who? How? When?
- 5. • No previous experience with databases relational or otherwise • InfluxDB provided: • Easy data collection (existing MQTT broker) • Visualization with time ranges • Cloud access • Understandable query language with Flux • Relational is great for tracking assets, but not rates / trends • SQL being used internal for accounting and inventory • Influx over others: • Full-stack data to visualization on one platform • Low cost of entry • Scalability
- 6. • In Manufacturing: IIoT = Predictability = Uptime = $$$ • Machine state • Running – Actively handling packages • Waiting – Robot active but no parts available • Halted – Robot inactive but powered on • Faulted – Robot faulted but powered on • Down – Robot power off • Production Data • Daily package counter • Hourly rate • Robot health • Joints • Current (where we’re focusing today) • Temperature
- 7. • Fully automated end-of-line palletizing solution powered by Universal Robots’ UR10e • New turnkey system from Robotiq
- 8. • Olympus Controls merged OPTO 22’s groov RIO edge gateway with Telit’s DeviceWISE edge software platform • Modbus TCP is supported so the unit is compatible with Universal Robots
- 9. LAN (ethernet) Modbus TCP Broker WAN (internet) MQTT Factory Cloud Factory
- 10. • 6 joints (motors) on every arm • Each joint motor’s current and temperature are continuously monitored • Values are stored in Modbus TCP registers • Modbus is a common industrial protocol dating back to the 1970’s • Many industrial networked devices can use Modbus TCP (over ethernet)
- 11. • Telit’s deviceWISE gateways incorporate most common industrial protocols which allow them to connect to virtually any industrial device • JSON message is published to a topic on a public MQTT Broker • http://www.mqtt-dashboard.com/ • Subscribe - /dwgateway/JointStatus Modbus TCP Registers are combined into a JSON message
- 12. • Telegraf can use multiple protocols to use various data sources in the same database • MQTT Consumer was used to subscribe to the “/dwgateway/JointStatus” topic • JSON_v2 parser was used to create the database entry • Telegraf runs detached in Docker Compose
- 14. Robot is cycling primarily shoulder/elbow joints until error
- 15. Robot is running, then idle, then Emergency Stop is pressed
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