Creating and Deploying a LPWAN Based Waste Management IoT System. Bruno CENDÓN CTO / BD Manager /

Transcription

1 Creating and Deploying a LPWAN Based Waste Management IoT System Bruno CENDÓN CTO / BD Manager /

2 Bruno CENDÓN CTO in

3 @BrunoCendon

4 We re experts on developing IoT solutions

5 Since 2007 Selling & creating IoT solutions worldwide

6 ContentsTable of contents (if desired) I. What are the IoT challenges on the Waste Management area? II. IoT approach taken III. Creating a LPWAN Waste Management Solution IV. Practical cases V. Lessons learnt VI. Feedback received and future evolutions VII. Next steps on LPWAN support

7 What are the IoT challenges on the Waste Management area?

8 When we think about IoT and Waste Management

9 We have a different points of view US Sensorize Track Optimize Client Save money Be cool New services

10 It is true though that it depends on the type of client

11 Not all the clients think about money Waste management companies Local authorities Tech companies of all sizes

12 Client s point of view of IoT on Waste Management Waste management companies Reduce number of staff and equipment Be aligned with city/region Smart requirements Have a low cost solution

13 Client s point of view of IoT on Waste Management Local authorities Have a Smart City Have a greener city Offer new services to the citizens Pay the same to the contractors

14 Client s point of view of IoT on Waste Management Tech companies Small companies: Sell an engineering project Big companies: Sell a platform to the city Telecom carriers: Sell connectivity and a platform to the city

15 What a Waste Management IoT system shall offer? Deploy the sensors over a network Integrate them in an IoT Platform Provide a Management App Provide a mobile app / alarm system Provide connectivity Provide extra services (routes, alarms )

16 IoT approach taken

17 How do we use IoT on Waste Management? Waste Management App Volumetric Sensor Measuring Volume Weight Sensor Measuring Weight Locked containers with access control Measuring Times used

18 How do we use IoT on Waste Management? Ultrasounds - Simplest and cheapest solution - Adaptable to any container or type of garbage - Problems with some type of garbaage Weight cells - Very precise measurement - Depends on the container - Not always a nice spot to weight - Not easily integrable Access control - Control on who is throwing - Needs to provide containers with bagsized apertures - Not easily integrable on any container

19 Why we picked up the ultrasonic sensor? Need for a generic solution Valid on mostly any container type available on the market The now market requests cheap IoT verticals in low volumes

20 Creating a LPWAN Waste Management Solution

21 Vertical requirements Test & Validation Table of contents (if desired) Creating a Waste Management vertical Own requirements Prototype a sensor Create a sensor Electronic design Documentation & Marketing Data sheets / User Manuals Contractor companies requirements Antenna/Radio design Mechanical design Marketing material Firmware development IT companies requirements Cities requirements Prototype a management application Create the management app Sensor integration App development IoT Waste Management Vertical

22 Creating a Waste Management vertical Critical points when creating such an IoT product Radio technology Critical for convenient coverage, data exchange and battery consumption Battery Shall be as smaller as possible, but shall make last the device as longer as possible. Its size depends on technology choices HW design It s key to pick up the best compromise between price, reliability, availability and power consumption. The sensors included shall provide reliable measurements at a moderate price FW design Firmware shall be proven to be stable, non-intrusive, power performant and capable of performing selfrecovering procedures Housing Waste containers are a harsh environment where the appropiate housing is key to assure the endurance. It also shall enable a simple installation procedure

23 Creating a Waste Management vertical Impact on battery is key Radio technology Battery HW design FW design Housing N/A Medium impact Small impact N/A Big impact Battery will determine how long the device will be working and the radio technology will determine its size and price

24 We need to be smart when chosing the IoT radio technology let me explain

25 What NOT to do This is a real Waste Management deployment Yes, that s a repeater!! There is one in each group of waste containers The choice has been surely made to have a low consumption radio technology Thankfully new IoT networks are available to avoid this nonsense LPWAN technologies have a lot to say about this

26 IoT radio technologies NB-IoT is coming!

27 Chosing a radio techology There is a feature where LPWAN beats other technologies LPWAN SIGFOX GPRS WIFI

28 Chosing a radio techology But there are others where LPWAN underperforms cellular Data throughput Data reliability Not always bidirectional Not always deployed The money machine of certification So we finally created a dual Sigfox and GPRS device as we re on a market with a low volume yet

29 Optimizing the antenna for LPWAN (sub-ghz)

30 Once chosen the radio technologies we created the full vertical

31 Electronics for a generic product Expansion slot for future IoT radio technologies Cellular or Sigfox modem (chosen in production)

32 Creating a device for the IoP The Internet of Things is yet an Internet of Pilots Outsourced production lines not suitable for volumes of 100s The product is created with a modular architecture, that will allow small productions and the easy addition of new techologies

33 Creating the Management App

34 Creating an open architecture Cellular case 2G network MQTT Broker MQTT 2G Network MQTT MQTT Waste management sensor Management app

35 Creating an open architecture Sigfox case Sigfox base stations Backend SIGFOX HTTP JSON Callback Waste management sensor Management app

36 The need to work with countless IoT Platforms MQTT MQTT HTTP JSON HTTP JSON HTTP JSON HTTP JSON MQTT HTTP JSON HTTP JSON Callback

37 Meet the TSwasTe

38 Practical cases

39 Deployments Pilots and larger deployments in more than 30 countries Mostly cellular, but increasingly based on LPWAN tech The sensor is currently on its third HW version. Working on the fourth

40 Deployments around the world

41 Deployments around the world 1st Sigfox Waste Management deployment EVER A sensor that is tweeting the reports every two hours and it has already done it times

42 Lessons learnt

43 Network coverage Cellular vs LPWAN Cellular coverage is good, even in mostly difficult installations In some cases, an external antenna might be needed adding significant cost to the solution LPWAN (Sigfox) coverage is mostly good, working in difficult installation if a base station is near It will need to be densified more No LoRa no NB-IoT yet

44 Waste fractions behaviour Other Good behavior Organic Good behavior Glass Very good behavior Plastics Good behavior Paper Medium/bad behavior

45 Types of container Not all containers are suited for a single sensor design A wider beam, averaging level, might cause echo problems The installation procedure might also be a problem

46 Calibration of the sensor in extreme conditions Ultrasounds are affected by heat Initial deployments have been key to improve our calibration procedures

47 Unusual behaviors of the PEOPLE Other Waste fraction container in Barcelona

48 Unusual behaviors of the PEOPLE Garbage is collected around 22:00h every day During weekends the graph is smaller as less activity is detected

49 Unusual behaviors of the PEOPLE Suddenly, one day, something extrange happened Containers at 100% twice in 24 hours!!

50 Unusual behaviors of the PEOPLE

51 Unusual behaviors of the PEOPLE No collection at 22:00 that day and the container was full after that A non scheduled collection around 7:00 AM with a rebound effect after Collection during the evening with an echo effect right after

52 Unusual behaviors of the PEOPLE What happened the day of the final? Weekend event. Not many gargabe Colection with just 20% of filling level People getting the trash to the waste containers on Monday morning

53 Data analysis An efficient deployment shall go beyond the data collection Machine learning and predictive analysis shall be applied in order to have relevant outcomes The objective will be to have savings on energy, work hours, equipment and environment damages and an overall improvement on the waste collection service Sensors Events Analytics Business Intelligence Service improvement Historic data

54 Feedback received and future evolutions

55 Feedback received Direct application on containers installed in remote locations Application in cities might require an app twist adding significant added value Price on volume shall be far below the 10% of the cost of the container Volume measurement is OK for some contractors, others seek further things One has to be ready to provide a full vertical but also an open solution integrable with 3rd party apps

56 Improvements requested & implemented All-time activated fire detection All-time activated accelerometer LoRa NB-IoT Other networks GPS per request to locate lost containers

57 Next steps on LPWAN support

58 Sigfox Table of contents (if desired) Reducing footprint of communications and battery Reduce costs

59 LoRa Table of contents (if desired) Deployments on going Products getting ready Not as spread as Sigfox

60 NB-IoT Table of contents (if desired) IoT device makers waiting for first modem samples ANYONE ON THE ROOM?

61 So what s next? Getting out of the IoP Volume to enable cheaper, more compact solutions Waste Management needs Big Data Waiting for new LPWAN networks, but not too many! Equipment manufactures shall cooperate with tech companies and have IoT integrated from the very beginning

62 Thanks!! Bruno Cendón CTO in linkedin.com/in/bcendon

63 Thank you for joining us for the global reference IOT INDUSTRY EVENT