Unlocking the Power of Smart Sensors

In the ever-evolving world of IoT, one trend stands out prominently: smart sensors. When iot-analytics.com peered into the crystal ball for 2023, it revealed a compelling top trend and smart sensors took centre stage. Why, you ask? Because the benefits are substantial. Transmitting data wirelessly incurs direct and indirect costs that can be significant. These costs range from monetary expenses to escalating subscription fees and expanding storage costs in the cloud or servers. Moreover, they include the unwelcome guest of increased power consumption, a surefire recipe for shorter battery life and more frequent battery replacements.

The Quest for Efficient Energy Consumption

Energy consumption becomes paramount in sensor applications, especially when using a battery-operated device. In many cases, it’s imperative to ensure a device can run for over a decade on battery. The energy consumption factor is the holy grail of large-scale IoT, as it’s the ultimate selling point— ”our device will last ten years on one battery.” This is a bar every solution must meet in the IoT realm. The question arises: how do we get there? The answer lies in techniques like data filtering, intelligent local data storage, and non-real-time data uploads, aligning perfectly with current market trends.

A Three-Step Model for Efficiency

The AKKR8 sensor, an IoT marvel we’ve designed, incorporates a relatively simple yet essential logic at the sensor level. It’s grounded in the understanding that addressing connectivity costs is most efficient when done close to the network’s edges. Our sensor employs data filtering as a core function. After each measurement, it makes a critical decision—discard, store, or upload the measurement value to the server.

Optimizing Battery Life through Network Signal Strength

We all know that a sensor’s battery life is inversely proportional to its coverage, whether LoRaWAN or 4G/5G. In areas with poorer connectivity, the battery life can shrink by a factor of four. To address this, our sensor periodically assesses the signal strength of its connection and reports it. Our central data analysis platform then calculates the optimal frequency for metric transmissions based on the current signal strength.

Customizing Sensor Functionality

But how do we adjust and fine-tune sensor settings remotely? We achieve this by employing MQTT data protocols utilizing MQTT callbacks. These callbacks enable the sensor to re-read updates and implement configuration changes while maintaining a connection. This can include reading measurements from additional sensors, controlling the frequency of updates, and much more. It’s a flexible approach that doesn’t necessitate remote software updates. Standard protocols like MQTT offer this flexibility, and we anticipate even more power-efficient protocols and advanced adaptations. In time, sensors will learn from their environment, adapting to the installation scenario. Imagine a sensor on an electric motor monitoring temperature and vibration. The future sensor will observe and learn, setting alarm limits based on abnormal deviations.

In closing, while more innovative future sensors may be around the corner, our current focus is saving battery power, reducing costs, and preserving the environment. In the grand landscape of IoT, it’s not just about connecting devices; it’s about doing so efficiently, sustainably, and intelligently.

The post Revolutionizing IoT: the AKKR8 sensor’s game-changing features appeared first on AKKR8.

What is MQTT?

MQTT is a lightweight messaging protocol, there are others, but MQTT serves as the backbone for streamlined communication in many IoT applications. At its core, MQTT operates on a publish-subscribe model. The sensors connect to an MQTT broker and report the sensor readings. But before they detach, they look at specific topics they subscribe to and receive messages published on those topics.

The device subscribes to different topics. These topics can send messages that will change device parameters if you know the correct configuration command. The username, passwords, encryption certificates and all user data are protected, but relatively simple things like:

· reporting interval
· alarm thresholds
· turn on/off specific sensors (to save power)
· turn on/off the LED for diagnostics

can be reprogrammed (the list is quite long, but we can only supply all details to customers that have signed an NDA with us).

The power of callbacks

MQTT callbacks empower any platform we connect to process messages and configure essential things in the device. The superpower is that we only need a single platform to process sensor readings and configuration, and most platforms on the market can handle these functions.

Three strengths of MQTT callbacks are that they execute fast, are easy on the processor, and can handle messages when the device is connected without additional processes or servers running. As we use TLS-encrypted messages with end-to-end encryption, we rest assured that the devices can not be reprogrammed by other individuals or organizations than you.

We can effectively manage MQTT communication and build robust IoT applications by utilising callbacks. In the dynamic landscape of IoT, MQTT callbacks offer a powerful solution for efficient message handling and event-driven programming. By employing callbacks, pros like you can harness the full potential of MQTT, ensuring seamless communication between devices and servers in IoT environments. With MQTT callbacks, the possibilities for optimizing IoT applications are nearly endless.

The post Enhancing our sensors with Callbacks appeared first on AKKR8.

Port for possibilities

The GPIO port (General Purpose Input/Output) is a feature-rich component within our AKKR8 sensor. While it boasts multiple ports, the GPIO port stands out as one of the influential ones and also a port that really proves our capabilities. Its capabilities are vast; it can be used for turning on or off external sensors, communicating with daughter boards or break-out boards via I2C or SPI, and acting as a power source for connected devices. This versatility makes the GPIO port an invaluable asset beyond the average applications.

Harnessing the Power of the GPIO Port

One great use case for the GPIO port lies in monitoring diesel tanks in remote Swedish countryside areas. These tanks, which hold substantial diesel fuel and serve local farmers, trucking companies, and construction firms, require periodic refilling. However, monitoring them remotely using battery-operated devices poses a unique challenge.

To tackle this challenge, a sensor with a 4-20 mA output is the ideal solution for measuring the tank’s level. Unfortunately, such sensors consume significant power, making continuous operation impractical. Here’s where the GPIO port comes to the rescue. By leveraging this magical port, we can power up the 4-20 mA sensor only when necessary. The process involves initiating the device, powering up the sensor, allowing it to stabilize, and finally obtaining a stable reading from the analogue input of our device. Once the reading is acquired, the sensor can be powered down, allowing the device to return to sleep mode.

The device also has a motion sensor on the board; we can wake up if someone moves the tank and alert a nearby person by SMS or via the IoT platform of choice.

Unleashing the Magic

The GPIO port uses the potential of the AKKR8 device to transform your IoT dreams into reality. While the sensors onboard AKKR8 may not address every conceivable scenario, combining our firmware’s ”magic wand” feature and the GPIO pin hardware enables users to perform astonishing feats. The magic wand firmware provides access to special functions that allow for precise control over the GPIO pin, including powering it up, introducing delays for sensor stabilization, and subsequently powering it down.

For technically skilled individuals seeking new and innovative applications within IoT, the GPIO port of our AKKR8 sensor is a treasure trove of possibilities. With its ability to power up external sensors, communicate with other boards, and perform various functions using our firmware’s magic wand feature, this port opens the door to limitless creativity. Whether you’re a seasoned IoT enthusiast or a curious individual looking to explore the realm of IoT, the GPIO port will ignite your imagination and propel you towards exciting new horizons. Embrace the magic and let your IoT dreams take flight!

The post Unlocking Possibilities with the GPIO Port appeared first on AKKR8.

Data Filtering at the Edge

An Intelligent Approach for IoT Devices? For sure! As you navigate the landscape of IoT device gateways, an essential factor to consider is the volume of data being transmitted. Beyond mere cost savings, curtailing data transmission can significantly diminish overall network traffic. With data consumption often tied to financial outlays, this reduction at the gateway will be suitable for your budget.

Furthermore, the advantages of data reduction extend beyond the balance sheet. Reducing data transmission directly correlates with lowered power consumption, even in a persistently active connection. This practice conserves energy and lends itself to a more ecologically sustainable operational model. This approach represents a dual victory – trimming operating costs and curbing your carbon footprint.

Cloud Storage Optimization

Another compelling rationale for data reduction at the edge revolves around the shrewd management of cloud storage resources. Recognizing that cloud storage capacity is finite, the judicious utilization of this resource becomes imperative. Implementing data filtration at the edge can extend the retention period for pertinent trends, facilitating more in-depth analyses. This strategy empowers you to harness your cloud storage effectively, all without relinquishing valuable insights.

A Practical Implementation

In our AKKR8 sensors, we have implemented data filtration at the edge. Consider, for instance, a room adorned with an array of temperature sensors. Constant temperature readings every minute are superfluous when the ambient conditions remain relatively stable. However, such data gains paramount importance if there’s a sudden and drastic fluctuation. Through intelligent edge logic, extraneous data can be sifted out, reducing the data volume destined for cloud storage.

Beyond the Edge: Optimizing Network Traffic

Storing data at the gateway offers additional strategic advantages. Instead of disseminating minor message batches at frequent intervals, we can consolidate these messages into larger packages, dispatched as a singular unit. This practice not only alleviates network congestion but also allows intermittently disconnecting from the network between transmissions, resulting in notable energy savings.

A Path to Intelligent IoT Deployment

In the intricate web of IoT, optimizing data management at the edge emerges as a strategic, efficient paradigm. The benefits resonate far beyond budgetary considerations, encompassing optimized power utilization and judicious network traffic management. By implementing intelligent data filtration at the edge, we channel only pertinent and invaluable information to the cloud for analysis and storage. Embracing this approach propels our IoT networks toward increased intelligence, sustainability, and financial prudence. Let’s forge ahead, guided by data filtering at the edge, and sculpt a future of streamlined IoT operations and enhanced environmental responsibility.

The post Enhancing Efficiency with Data Filtering appeared first on AKKR8.