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WSN: Process Automation
Technology PowerShot
Synopsis:
Process industries such as oil and gas, chemicals, power generation, water & wastewater, primary metals, and pulp & paper are early adopters of wireless sensor network systems.
Process industries are also the initial focus of standards efforts such as WirelessHART and ISA100.11a. In this Technology PowerShot, we provide a succinct snapshot of this growing market including end user adoption trends, competing alternatives, and 24 software generated scenarios to illustrate the power consumption and performance of common wireless sensor network platforms. The technologies we evaluated in this report include ZigBee, 802.15.4/mesh, WiFi, and proprietary.
Only through in-depth knowledge of your competitors' strengths and weaknesses can you develop a winning business strategy. ON World's software tool, the wsnSimulator™, normalizes the application (transmission rate, payload, attached sensors, and duty cycles) in order to compare common WSN technologies used for end nodes, routers, and controllers.
Reasons to buy this report:
This report will provide you with unbiased insight on the range, power lifetime, and costs of your nearest competitors, potential partners, or investments. For manufacturers, software developers, component suppliers, and investors, this report provides the following:
* Verify the strengths of your technology to convince potential partners, customers and investors
* Evaluate potential partners and suppliers
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Conduct due diligence on potential investments
* Define your company's differentiators and streamline product development |
Primary Research:
This report is based on the following research:
End Users
115 phone interviews with senior automation engineers and plant managers
Vendors/Experts
Recent interviews with dozens of WSN systems providers, software developers and suppliers
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Report Overview:
State of the Market
* Adoption trends including market data from a recent survey with industrial end users
* Competing alternatives analysis and matrix to compare the following platforms: ZigBee, 802.15.4, proprietary, and WiFi
* Key user requirements analysis and ranking charts
*Technology advances analysis including areas such as power mangement and energy harvesting.
* Recently filed or awarded patents
Power/Performance Simulations:
One of the challenges that researchers and developers have with WSN is testing the enormous amount and variations of wireless sensing components and modules that make up a WSN node. In order to better analyze the power and performance needs of individual nodes in specific applications, ON World created the wsnSimulator™. This simulator interchanges WSN node hardware components, payloads, processors, sensors, harvesters, and batteries while factoring in unique operational parameters for each of the fore mentioned parts.
The wsnSimulator™ runs these virtual hardware nodes within one of several WSN networks such as ZigBee, 802.15.4, TSMP, Z-Wave, WiFi, and proprietary platforms. It factors in neighborhood nodes and overlapping networks to analyze transmission collisions, latency, and dropped packets among other network factors. With this tool we have the capability of simulating advanced multi thousand node WSN deployments as well as single node controllers, gateways and end nodes.
The simulation tests for this report include the following:
- Radios/protocols: IEEE802.15.4 with TSMP and Sampled Listening; WiFi; ZigBee; and proprietary TDMA
- Devices: end nodes, routers, and controllers
- Power management techniques: node synchronization, Sampled Listening, on-node processing, and "batch and send"
- Average power and power distribution
- Battery life with attached sensors
- Effect of number of transmission per hour
- Effect of payload increases from 4 to 400 bytes
- Required battery size
- Required harvester sizes
- Effect of obstructions on range
- Power source (batteries/energy harvesters) costs per year
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Companies:
Companies mentioned in this report include Accutech, Adalet, Aginova, Arch Rock, Atmel, Axxon, Dust Networks, Ember, Emerson, FreeWave, G2 Microsystems, Gainspan, GE, Honeywell, IntelliSensing (Electrochem), Jennic, Maxstream, Meshnetics, Oleumtech, Perpetuum, Phoenix Contact, Semtech, Sensicast, Texas Instruments ...
Table of Contents
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Summary
State of the Market
Adoption Trends
Competing Alternatives
Key User Requirements
Technology Advances
Mesh Networking
Power Management
Microprocessors
Energy Harvesting
Key Patents
Simulations
wsnSimulator™
General Test Set-Up
Test 1: Transmission Impact
Analysis
Range
End Nodes & Routers
Power
Transmit Rate Lifetime
Batteries
Harvesters
Costs
Controllers
Harvesters
Test 2: Payload Impact
Analysis
Appendix A: General Test Specification
Sensor Setup
Radio Setup
Appendix B: Transmission Impact Specification
General Setup
Device Type Variations
Appendix C: Payload Impact Specification
General Setup
Device Type Variations
List of Figures
Figure 1: Percent of Devices Continuously Monitored
Figure 2: Number of Wireless Sensors Currently Deployed
Figure 3: Planned Wireless Applications
Figure 4: WSN Key User Requirements
Figure 5: Process – User Requirement Ranked by Technolog
Figure 6: Range VS Obstructions Industrial Space
Figure 7: End Node - Node Average Power
Figure 8: Router - Node Average Power
Figure 9: End Node - Power Distribution
Figure 10: Router - Node Power Distribution
Figure 11: End Node - AA(2) Battery Life in Years vs Transmission Rate
Figure 12: Router - AA(2) Battery Life in Years vs Transmission Rate
Figure 13: End Node - Battery Types Lifetime Yearly
Figure 14: Router - Battery Types Lifetime Yearly
Figure 15: End Node - Vibration(.1g) Required Harvester Size
Figure 16: Router - Vibration(.1g) Required Harvester Size
Figure 17: End Node - Battery AA(2) vs Harvester Vibration(.1g) Cost Per Year
Figure 18: Router - Battery AA(2) vs Harvester Vibration(.1g) Cost Per Year
Figure 19: Controller - Node Average Power
Figure 20: Controllers D(3)Battery Life in Years vs Transmission Rate
Figure 21: Controllers - Vibration(.1g) Required Harvester Size
Figure 22: Controllers - Battery D(3)vs Harvester Vibration(.1g) Cost Per Year
Figure 23: End Node – AA (2) Battery Lifetime vs Payload
Figure 24: End Node - Battery AA (2) vs Harvester Vibration (.1g) Cost Per Year
Figure 25: Router – AA (2) Battery Lifetime vs Payload
Figure 26: Router - Battery AA(2)vs Harvester Vibration(.1g) Cost Per Year
Figure 27: Controller D (3) Battery Lifetime vs Payload
Figure 28: Controller Battery D(3)vs Harvester Vibration(.1g) Cost Per Year
List of Tables
Table 1: Wireless Process Automation Platforms Compared
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