Month: September 2021

How IoT Dashboard utilized for business growth

Multiple organizations that utilize IoT technology find the data they collect from different devices and sensors overwhelming. So they view for alternatives to make their understanding much smoother and faster. Building an IoT dashboard is one of the most efficient ways of overcoming this challenge.

BridgeThings has experience in solving company problems with software solutions, including those based on IoT technology. Our expert development crew knows how to develop a decent IoT dashboard, and this blog will bring you up to activity with what you need to see if you are considering this option.

What is an IoT dashboard?

An IoT dashboard is a web-based software that enables you to manage your ecosystem, get data from each Device, and control its operation. An IoT dashboard is essentially an IoT control panel that can accomplish several distinct goals for any enterprise.

Critical Components of IoT Dashboard

Data Collection from Device:

Each Device gets tonnes of data, for example, voltage, pressure, motion, acceleration, chemical composition, moisture, humidity, pH, air, and water quality. This data is transmitted to the IoT Dashboard to be prepared and presented as penetrations on the interface.

Data storage

It is a crucial part of an IoT dashboard. In a practice, IoT devices with sensors are lightweight and can’t save much data. Thus, the information needs to be transferred continuously to the backend of your dashboard for further storage. 

At first, the volume of data strength was not that large, but you will need adequate storage over time. The repository should also enable users to reclaim past data instantly. This way, you can see variations or models and track actions effortlessly.

Data visualization

Data visualization plays a vital role in dashboards, in which data converts into heat maps, geographical maps, tables, line graphs, bubble clouds, pie or bar charts, histograms, statistics, and timelines. Depending upon the end-user needs, it will change, and businesses make better decisions on that.

Alerts

Alerts assist users in not avoiding anything while using a dashboard. If your sensors recognize any difference, peculiarity, risk, or unusual behavior, they’ll post a sign, and you’ll see a warning on the dashboard. If you create a custom IoT dashboard, you’ll choose which important alerts and display them on your interface.

Security

Last but not least, any IoT software development company you choose to build a dashboard web application must be capable of assuring that your IoT details are secure and safe. IoT devices collect a lot of raw data, and any data breach or leakage can be highly damaging to your business’s fame. Make sure to guard your dashboard commands properly for maximum confidence. It’s a good idea to create role-based access levels since it’s essential to restrict users from seeing data they shouldn’t see. 

IoT and Analytics are permitting Companies to handle business growth.

Real-time Management  – With joined IoT assets, businesses arrest massive troves of real-time data that serves to track products, support, and day-to-day operations. Such acumens can further aid remote asset monitoring, security, and fraud detection, turning to better services for a company. 

Analytical solutions developed around real-time data, using ML methods, assist enterprises in allowing intelligent business operations and predictive analytics.

Extended Business-Critical Operations on Mobile platform

Businesses leverage the Enterprise Mobility platform to allow real-time access to meaningful information from any place through handheld devices. Cross-platform mobile apps united with IoT and Analytics drove Cloud solutions to give real-time insights on mobile devices. This data assists companies and their customers in making better decisions in real-time. 

For example, a Cloud-based Smart Metering Solution developed throughout water meters assists the utilities and their clients with water waste data in real-time. This method helps the clients in making proper choices towards adequate water consumption.

Automated Work Management System – While automation forms the backbone process in most industries, it can be hugely improved when optimized with Analytics and IoT. It can cover the way for significant changes in the work situation like remote field-force connectivity. 

For example, energy consumption can diminish with the help of intelligent IoT devices that produce such situations to notice. IoT solutions can even predict when a system is likely to break or lose, thus manually offloading the workers to shut them down for maintenance. Moreover, IoT and real-time analytics can assist in building a central data repository, which can notify the identification of issues.

Emergency Planning and Recovery – IoT implementation for emergency management can turn out to be one of the biggest game-changing trends. With IoT sensors and alarm systems, troves of real-time data can assist in active monitoring and review. Supports businesses in making crucial decisions. 

For example, IoT sensors can adequately monitor the increase in levels of harmful gases in particular industry segments and automatically shuts down the system with a raised alarm. Analytics solutions devised on this critical data can afford opportunities or measures to avoid the probability of a disaster taking place, thereby saving plenty of lives.

Summary

A custom IoT dashboard grants easy data distribution, straightforward data analysis, and better IoT asset control and management. What’s more, it approves businesses to make more effective real-time business decisions, exposes new growth possibilities, and finds acumens that would be hidden.

Many Businesses are combining IoT assets with AWS services and driving analytics through machine learning solutions. AWS IoT Suite offers a center of services to connect, monitor, and control numerous IoT devices. Likewise, data-based real-time and predictive analytics formulated through ML solutions are benefitting Enterprises with informed decisions. Take advantage of AWS IoT consultants and Analytics experts to securely connect IoT assets, analyze critical data, and present insights to the customers – in the way to drive business growth.

How do sensors play a role in the IoT business?

Distinct species of applications claim various sorts of sensors to collect data from the environment. This article takes a look at some standard IoT sensors.

In an IoT ecosystem, two elements are essential: the Internet and physical devices like sensors and actuators. As shown in Fig. 1, the bottom panel of the IoT system consists of sensor connectivity and a network to gather information. This layer is a vital part of the IoT system and has network connectivity to the next gateway and network.

Iot artchitecture layers
IoT architecture layers(Image Courtesy: coursera.org)

The principal idea of sensors is to gather data from the surrounding environment. Sensors, or ‘things’ of the IoT system, form the front end. These are united directly or indirectly to IoT networks after signal conversion and processing. But all sensors are not equivalent, and different IoT applications require different types of sensors. For instance, digital sensors are straightforward and easy to interface with a microcontroller using a Serial Peripheral Interface (SPI) bus. But for analog sensors, either an analog-to-digital converter (ADC) or Sigma-Delta modulator is used to convert the data into SPI output.

Standard Type of Sensors 

Temperature sensors 

Temperature sensors
Temperature sensors

Sensor devices measure the amount of heat energy produced from an object or surrounding area. It uses in air conditioners, refrigerators, and similar appliances used for environmental control. They operate in manufacturing processes, agriculture, and the health industry.

Temperature sensors can be practiced almost in each IoT environment, from manufacturing to agriculture. In production, sensors monitor the heat of machines. In agriculture, these can use to observe the temperature of the soil, water, and plants.

Temperature sensors involve thermistors, thermocouples, resistor temperature detectors (RTDs), and integrated circuits (ICs). Some common types of temperature sensors.

Humidity sensors

Humidity sensor
humidity sensors

Water vapor in the air, or humidity, can influence human comfort and numerous production processes in industries. So monitoring liquidity level is essential. The most commonly used units for humidity analysis are relative humidity (RH), dew/frost point (D/F PT), and parts per million (PPM).

Motion sensors

motion sensor
Motion sensor

Motion sensors are used for security purposes and in energy management systems, automated parking systems, hand dryers, automated toiler flushers, automated sinks, and automated door controls. You can use these sensors in IoT and Monitoring from your web dashboard or smartphone. 

Gas sensor

Gas sensor
Gas sensors

Gas sensors use to recognize toxic gases. The sensing technologies use in semiconductors, photo-ionization, and electrochemical. With scientific progress and new specs, various gas sensors extend the wired and wireless connectivity deployed in IoT applications.

Smoke sensor

smoke sensor
smoke sensor

Smoke detectors have been in use in industries and homes for quite a long time. With the arrival of the IoT, their applicability has become more comfortable and user-friendly. Moreover, adding a wireless connection to smoke detectors permits additional features that enhance security and support.

Pressure sensor

pressure sensor
Pressure sensor

These sensors are utilized in IoT systems to watch systems and tools that drive by pressure signals. When the pressure scale surpasses the threshold level, the device informs the user about the fixable obstacles. Industrial pressure sensors are suitable for compressors, manufacturing, automation, hydraulics, utilities, Agriculture, HVAC.

Proximity sensors

proximity sensor
Proximity sensor

Sensors recognize the appearance or lack of a nearby object without any substantial contact. Various proximity sensors are Ultrasonic, inductive, capacitive, photoelectric, and magnetic. These sensors use in the monitoring process and control object counters.