The Practice of Open-Source In Energy IoT

Transcription

1 1 The Practice of Open-Source In Energy IoT Nix.Long YarlungSoft ChengDu China

2 PROGRESS 2 Preface Case Perception Transport Cloud Case Detail Dthing

3 The Situation Of Energy 3 1 Increased Cost & Reduction of fossil energy 2 Increased Energy Demand 3 Increased Pollution levels 4 Low energy use efficiency 5 Low utilization of clean energy

4 China s Energy Structure 1. Change Energy Structure 2. Encourage clean energy and non-fossil energy 3. Reduce Pollution & Reduce Energy cost

5 5 - CAN NOT Produce Energy - CAN Reduce Cost - CAN Improve Efficiency

6 A Story? 6 What the elephant like?

7 IoT 7 The internet of things (IoT) is the internetworking of physical devices, vehicles (also referred to as connected devices and smart devices ), buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. wikipedia Perceptual Layer Transport Layer Cloud/Application Layer

8 What to Solve Pain points : High Cost Expect to Get intuitive data analysi Waste & Inefficient Expect History tracking Expect to monitor device status Expect Unattended Expect to gather important data Expect Automatic alarm Expect Remote Management Dig the value Of Data

9 IoT Stack

10 PROGRESS 10 Preface Case Perception Transport Cloud Case Detail Dthing

11 Energy IoT

12 Cloud Management 12 Collect & Monitor Scheduling strategy Remote Manaagement Tracking & Stat Sales Conversion Transport Consumption Geothermal Electricity Sharp/Peak/Flat/Valley Pipe Building Mall Clean Energy Solar Heat Storage Cabinet School Hotel Boiler... House Hospital

13 13

14 System Features Data collecting 1. Environment Data: Temperature, Humidity, Noise, Dust, etc Energy conversion Scheduler 2. Device Data: temp, press, flow,etc Remote Device Management 3. Electricity Data: voltage, current, freq energy(sharp, peak, flat,valley), power Data/Device monitor Power quality parameter,etc Data analysis 4. Solar Params, Boiler Params, etc GIS Map/Chart presentation 5. Acquisition frequency: 1s/10s/30s/60s

15 PROGRESS 15 Preface Case Perception Transport Cloud Case Detail Dthing

16 Perceptual Layer 16 Capacity design Of The Data Gateway: Cost & system ability System Resource : CPU/RAM/Flash Protocol: 485/422/IO/IIC/ADC/ LAN: short range communication?.. Case : Gateway With Limited Resource

17 Perceptual Layer 17 OS Ref Modules Ref

18 Perceptual Layer Program Collect Data Monitor Device Remote Management Edge Computing Encode (Binary, json) & Transport

19 Can Solve now Pain points of Energy Industry: High Cost Expect to Get intuitive data analysis Waste & Inefficient Expect History tracking Expect to monitor device status Expect Unattended Expect to gather important data Expect Automatic alarm Expect Remote Management

20 PROGRESS 20 Preface Case Perception Transport Cloud Case Detail Dthing

21 Transport Layer: IoT Protocols 21

22 Transport Protocol 22

23 MQTT Topic Clear hierarchical relationship 2. Proper Message classification 3. Key fields for identification 4. Belong To Who 5. Not too much, not too few 6. Distinguish upward or downward Demo: {Who}/{direction}/{DeviceType}/{Supplier}/{Category}/{DeviceId}/{ }

24 Practice: Data Transmission Data transmission 2. Data Security Privacy & Trust SSL/TLS The general use Access Authentication The Security Device Authentication Low Cost (limited resource) Data Check Fast and Reliable Data Encryption..

25 Practice: Data Transmission Data-transport format Json :text message 1. Binary : Self encrypting Protocol buffer Private defined TLV 2. Simpler than Protocol buffer 3. Less Data, less network bandwidth and faster network transmission 4. Easy to extend data tag 5. Any Number Of TLV / Frame, Not fixed Length 6. Unified data format,easy to store data and clean data in the cloud

26 4. MQTT Payload: Private defined TLV One/Several Bytes length 2. Unique in global TAG 3. Several Fields 4. Where from 5. What is

27 Private Defined TLV Demo 27 Full-Tag (Fields: 7Bytes) 1. Gateway ID: 4 Bytes, identify which gateway in global 2. Device Address: 1 Byte, Distinguish multiple devices Of gateway 3. Channel Address: 1 Byte, Distinguish multiple channels of Device 4. TAG : Data Tag, stands for what is Where From Gateway ID : (0x ) Device Address: 0x05 Channel : 0x06 Data TAG : 0x25 (voltage), value (v) Encode : 0x01 0x02 0x03 0x04 0x05 0x06 0x25 0x62 0x00, 0x00, 0x55,0xF0 Binary : highest 4 bits: unsigned int Lowest 3 bits: decimal precision x000055F0 -> Tag : 0x x 0.01 = 220

28 Compare with json 28 Gateway ID : (0x ) Device Address: 0x05 Channel : 0x06 Data TAG : 0x25 (voltage), value (v) TLV Encode : json Encode : 0x01 0x02 0x03 0x04 0x05 0x06 0x25 0x62 0x00, 0x00, 0x55,0xF0 12 Bytes VS 76 Bytes { } "gateway": " ", "device_address" : "05", "channel" : "06" "voltage" : "220.0" Sharp reduction!!! less bandwidth and faster transmission Further optimization: ID as TAG, Just transport once per frame, another 30% Reduced

29 PROGRESS 29 Preface Case Perception Transport Cloud Case Detail Dthing

30 Cloud/Application Layer 30 Message Broker Services Data Storage Web Application Energy Strategy Case Summary Rule Engine

31 Message Broker 31 ActiveMQ/mosquito/RabbitMQ

32 Message Broker Modify the Configuration, set proper parameters 2. Optimize Topic Rule, to obtain Proper Topic Number 3. Set proper Mqtt Qos, Reduce unnecessary handshakes Performance optimization 4. Reduce unnecessary Persistence 5. Upgrade hardware resources 1. Lack of disaster backup 2. Difficult to expand Weak points 3. Limited Load Capacity Single Broker 4. Downtime Maintenance

33 Message Broker 33 RabbitMQ cluster mode: 1. Default mode: High concurrency,may lost data 2. Mirror Mode: High availability, may reduce concurrency HAProxy: 1. High performance 2. Load balancing

34 DATA 34 4V Features: 1. Volume: About Million Of Data per Day per Gateway 2. Varity: Meter Data, Sensor data, Device information, 3. Velocity: in time 4. Value: consumption analysis, efficiency analysis, Fault finding, Storage: TiDB : Persistent storage Redis : Cache Data TLV DATA : Easy to CLEAN, USE and AGGREGATE

35 Rule Engine What To Solve: 1. Unattended 2. Automatic Alarm How: 1. Set Rule Engine Formula on Data Object (Single or Multiple) 2. Execute Engine, Save Result 3. When Alarm Happens, Message Notification / Alarm Solution: JSR-94 / Jeval open-source lib

36 PROGRESS 36 Preface Case Perception Transport Cloud Case Detail Dthing

37 Electricity to heat as example: Goal: Reduce cost Sharp Peak Flat Vally e-energy: Es, Ep, Ef, Ev, Price: Ps > Pp > Pf > Pv Total cost: M = sum(ei*pi) Average conversion rate: Y (%) User side cost Energy: N = sum(ei)*y 1. Conversion Strategy: N is stable, Because Ps is max, Less Es and more Vs Cost less money 2. Conversion priority:ev > Ef > Ep > Es

38 Scheduler: Decide Energy Source Conversion : Lowest cost, Highest Prio Sharp Time Electricity Energy Peak Time Different Time, Flat Time Different Price Valley Time Solar Energy Heat Storage Geothermal energy Different Area, Different Cost Other Energy

39 Key Factor: The Efficiency Factors to impact Energy Storage Efficiency(η) Environment Factors: Temperature, humidity, dust Cabinet Inner Factors: Capacity, Charge/Discharge efficiency, heating cycle temperature, energy density Other Factors: Pipe line Loss, Calculate Efficiency(η): Charge Efficiency: η1 = (Saved Energy / Energy of supply side cost ) * 100% Discharge Efficiency: η2 = (Energy of consume side cost / Saved Energy) * 100% Impact the final Cost

40 Strategy: Find the Best When to Convert: 1. Source Energy Costs low 2. Best Charge Conversion Efficiency 3. Find The balance of item 1 & 2 When Best Efficiency Happen? Dig & analyze history data Gather kinds of data which impacts Analyze These data by algorithms Find best proper range of impacting Parameters

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42 Kinds of Service Services: 1. Data subscription, storage and process 2. Data Strategies & Analysis 3. Data Computing & cleaning 4. REST APIs for Web Applications Solution: Spring Family: Spring cloud, Spring Data,etc

43 Web Application 1. Security Module 2. Live Monitor 3. History Data Tracking 4. Remote Management 4. GIS 4. Chart analysis 5. Operation 6. Report 7. Prediction 8...

44 Can Solve now Pain points of Energy Industry: High Cost Expect to Get intuitive data analysis Waste & Inefficient Expect History tracking Expect to monitor device status Expect Unattended Expect to gather important data Expect Automatic alarm Expect Remote Management All Is Solved!!!

45 Summary

46 PROGRESS 46 Preface Case Perception Transport Cloud Case Detail Dthing

47 DTHING Nix.Long YarlungSoft

48 About DThing 48 Lightweight Java VM, Designed for Iot To Make Java Run On Every Resource-Limited Device, We Designed DThing For Iot & Embedded Field -- Interpreter is from Dalvik, Bytecode : dex Support Kinds Of Device libs (UART/IIC/SPI/IO/ ) Just Need Few ram & rom (hundreds of KBytes). Porting on Res-limited MCUs & different OS

49 Porting Platforms 49 Windows Develop Our Dthing Simulator on Windows System, It s easy to debug the Dthing Application Threadx The Threadx System On SpreadTrum, Designed for 2G/4G Iot Scene UCOS-* Yeah, We Can Develop The Embedded Program By Java Language Using Dthing FreeRTOS The FreeRTOS if free, MUST Support : )

50 Tech Stack 50 Application Java Libs VM Core Third Libs OS Kernel Platforms

51 Develop An Application

52 DThing IDE 52 JDK Suggested JDK Version Is Jdk 1.6.x / Jdk 1.7.x Eclipse ME Plugin DThing Used The Eclipse ME Way To Create An Applet/Application Android Dex Convert The java bytecode to dex by the Android Dex Tool Eclipse We Develop DThing IDE Based On Eclipse WTK Use Jad File to Describe The Applet Properity

53 To Finish An Applet 53 Step 1: Code & Compile Step 2: Y-modem Connect Step 3: Install Applet Step 4: Run The Applet

54 Brief Introduction About YarlungSoft Established In 2012, Located in ChengDu, China Focus On Iot Industry, Product & Business includes DThing, Data Gateway device, Cloud Product and SaaS By the end of 2017, 4 invention patents, 3 appearance patents, and 12 software copyrights. Creativity Idea Future

55 Welcome To ChengDu ChengDu China

56 Thank You Q&A In Touch Mobile: