October 10, 2015
Device Management An IoT consultant needs to be aware of the functions and workings of various hardware involved in typical IoT solutions. You should gain intermediate to an expert level knowledge of frameworks, programming and other tools required for integration, analysis and reporting of IoT network and data sets. Choose the following to get started: 1. Embedded design As the software development teams reach out in the IoT domain, IoT teams need to have a member with experience in the design and implementation of embedded software. Microprocessor fundamentals and an electronics background provide skill depth to the team. Linux, Windows 10 embedded 2. Raspberry pi This is $30 computer just like any serious computer. With an HDMI port, keyboard and mouse etc. You can run Linux on it, or Android or very soon, Windows 10. 3. Arduino This is a little module (circuit board) that can WiFi-enable any electronic device. It gives you a few I/O pins to turn things on or off (or to read data from them) and to communicate. The cool thing is that it costs less than 5$ and runs off 2x 1.5v batteries. 4. Micro Electro Mechanical Systems (MEMS) Sometimes referred to as Microsystems technology or micro-machined devices, MEMS technology is about mechanical and electro-mechanical components of larger devices and structure that are very small, hence the term “micro”. These components are made extremely compact and miniature by using micro-fabrication techniques. MEMS are used in various electronic devices such as sensors and transducers. There are a number of devices that make use of these micro-components, such as pressure, temperature, magnetic forces and radiation sensor equipment. 5. Wireless Sensor Network Design A sensor device may or may not require physical contact with a body to sense the attributes. For example, weighing of an object requires physical contact with the object to gauge the weight. However, sensors used to detect & report light, temperature, pressure, sound or radiation are wireless sensors that are generally spatially distributed, hence they operate as autonomous sensing devices. 6. Quality Assurance and Testing As the internet of things is maturing, thousands of devices are being added to the network every day. The process of sending, receiving and processing data is continuous. All of this serves one purpose, and that is to meet the demand of businesses and consumers. Hence, when working commercially, it is important to maintain the quality standards of the devices and the integration. 7. Sensor Data Analysis It’s not only about the deployment of things, but to analyze the data that such things produce so that we make the data available for human processing, storage and reporting. 8. Data Centre Management Huge data sets mean a large, complicated storage and multiplicity of data servers (in case you are handling large volumes of data) and a data center of the business you are providing consultation for. It is important for you, or someone in your team to have the working knowledge of data centers and their management. Gateways and Integration
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Hassan Askari
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Muhammad Omer
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