Resources

Check out articles, white papers, videos, and
other content about our technology & solutions

The Battery Barrier to Widespread Industrial Insights

Article

In this Plant Services article, learn how, for facilities that wish to monitor thousands of assets, the cost of putting thousands of battery-powered devices on maintenance schedules is daunting.

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STM Eversensor Installation


Video

In this video, learn how to complete the simple, tool-less installation of the Steam Trap Monitor Eversensor — from start to finish in under 10 minutes!

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Emerging Industrial Internet Technology Can Reduce Costs and Dangers in Steam Systems

Article

Steam systems are vital to the smooth operation of so many facilities. Yet, despite their critical function, the majority of plants rely on time- and labor-intensive manual inspections. With the emergence of industrial Internet technology, steam traps make ideal candidates for automated sensing technology.

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STM Overview


Video

In this video, learn more about the pervasive and costly problem of faulty steam traps and PsiKick’s novel monitoring solution using our patented batteryless sensing technology.

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How to Reduce the Hidden Costs and Dangers Lurking Throughout Your Steam System

White Paper

Read about the risks and costs inherent in every steam system and why two common “solutions” simply don’t solve the problem. Learn about an easy-to-deploy, cost-effective solution: Everactive’s continuous monitoring system that uses batteryless sensors to deliver real-time alerting through the cloud, without the need for manual inspection — ever.

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The Battery Problem:
An Infographic

White Paper

In this infographic, dive into the mind-boggling logistics of a battery-powered Internet of Things and learn how only self-powered, batteryless sensors can get us to a world of true ubiquitous computing.

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Overcoming the Battery Obstacle to Ubiquitous Sensing — Finally: Why Self-Powered Sensors are the Game-Changer

White Paper

Equipping objects with computing devices that lets them transmit data over the Internet has promised for years to revolutionize the way businesses operate and individuals live.  If it has such game-changing potential, why have businesses been slower than anticipated to deploy IoT technology? One reason has been the fact that powering the IoT revolution could demand 25 billion, or 50 billion, or 1 trillion batteries. And that’s no small problem.

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Everactive Technology Overview


Video

In this video, learn about Everactive’s game-changing approach to wireless sensing with its completely batteryless and self-powered technology.

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A Top-Down Approach to Building Batteryless Self-Powered Systems for the Internet-of-Things

Research Publication

This paper presents a top-down methodology for designing batteryless systems for the Internet-of-Things (IoT).

We start by extracting features from a target IoT application and the environment in which it will be deployed. We then present strategies to translate these features into design choices that optimize the system and improve its reliability. We look into how to use these features to build the digital sub-system by determining the blocks to implement, the digital architecture, the clock rate of the system, the memory capacity, and the low power states. We also review how these features impact the choice of energy harvesting power management units.

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A 116nW Multi-Band Wake-Up Receiver with 31- bit Correlator and Interference Rejection

Research Publication

This paper presents a 116nW wake-up radio complete with crystal reference, interference compensation, and baseband processing, such that a selectable 31-bit code is required to toggle a wake-up signal.

The front-end operates over a broad frequency range, tuned by an off-chip bandselect filter and matching network, and is demonstrated in the 402-405MHz MICS band and the 915MHz and  2.4GHz ISM bands with sensitivities of -45.5dBm, -43.4dBm, and -43.2dBm, respectively. Additionally, the baseband processor implements automatic threshold feedback to detect the presence of interferers and dynamically adjust the receiver’s sensitivity, mitigating the jamming problem inherent to previous energy-detection wake-up radios. The wake-up radio has a raw OOK chip-rate of 12.5kbps, an active area of 0.35mm2 and operates using a 1.2V supply for the crystal reference and RF demodulation, and a 0.5V supply for subthreshold baseband processing.

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A 236nW -56.5dBm-Sensitivity Bluetooth Low-Energy Wakeup Receiver with Energy Harvesting in 65nm CMOS

Research Publication

Batteryless operation and ultra-low-power (ULP) wireless communication will be two key enabling technologies as the IC industry races to keep pace with the IoE projections of 1T-connected sensors by 2025.

Bluetooth Low-Energy (BLE) is used in many consumer IoE devices now because it offers the lowest average power for a radio that can communicate directly to a mobile device. The BLE standard requires that the IoE device continuously advertises, which initiates the connection to a mobile device. Sub-1s  advertisement intervals are common to minimize latency. However, this continuous advertising results in a typical minimum average power of 10’s of μW at low duty-cycles. This leads to the quoted 1-year lifetimes of event-driven IoE devices (e.g. tracking tags, ibeacons) that operate from coin-cell batteries. This minimum power is too high for robust, batteryless operation in a small form-factor.

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A 6.45 μW Self-Powered IoT SoC with Integrated Energy-Harvesting Power Management and ULP Asymmetric Radios

Research Publication

A 1 trillion node internet of things (IoT) will require sensing platforms that support numerous applications using power harvesting to avoid the cost and scalability challenge of battery replacement in such large numbers. Previous SoCs achieve good integration and even energy harvesting, but they limit supported applications, need higher end-to-end harvesting efficiency, and require duty-cycling for RF communication. This paper demonstrates a highly integrated, flexible SoC platform that supports multiple sensing modalities, extracts information from data flexibly across applications, harvests and delivers power efficiently, and communicates wirelessly.

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