Case Studies & White Paper

IoT Gateway – Powering the Industrial Internet of Things: As the Internet of Things expands, businesses find themselves faced with the challenge of integrating many devices and protocols, many with varying power and connectivity requirements. This mix may also include legacy technologies. IoT Gateways are emerging as an essential component in building a robust IoT and for delivering computational power in edge computing scenarios. What is an IoT Gateway? In telecommunications, the primary purpose of a gateway is to provide a bridge between different communication technologies. These technologies can vary in terms of connectivity types, interfaces, or protocols. For example, your Internet Gateway at home connects your Local Area Network (LAN) with your Internet Service Provider (ISP). This gateway links the WAN of the ISP through technologies like PPP or HDLC with your LAN with TCP/IP. The IoT Gateway follows the same principle of bridging communications for different technologies. It c...

One of the oldest digital communication protocols is also the most popular, and for good reason. You should get to know Modbus. Modbus is the fundamental network protocol used in most industrial applications today. It is universal, open and an easy to use protocol. Modbus has been around industries for over 30 years, but it’s still the dominant voluntary standard used in almost all major industrial process control, instrumentation and automation products in the market today. New industrial products such as PLC, PAC, I/O devices, and meters may have an Ethernet, serial or even perhaps wireless interface, but Modbus is still the preferred protocol The pivotal advantage of Modbus is that it can run over virtually all communication media, including twisted pair wires, wireless, fibre optics, Ethernet, telephone modems, cell phones and microwave which would imply that a Modbus connection could be easily established on a new or existing factory floor.  What is MODBUS ? The Modbus protoco...

Abstract: In the last article, the benefits of machine learning were introduced.  The question is how to be able to apply this technique into manufacturing? The diagram below shows basic steps on how to apply machine learning techniques. The aim of this article mainly introduces the first two basic steps: Data acquisition and data cleaning. The way how to obtain raw data will be discussed in the first part. Next, raw data is often incomplete, inconsistent, and is likely to contain some noise (outlier).  For that reason, cleaning data is the necessary step. How to deal with incomplete data will be discussed in the next part. General steps in how to apply machine learning 1. Data acquisition 1.1 IOT system architecture for Data acquisition       While every IoT system is different, the foundation for each Internet of Things architecture as well as its general data process flow is roughly the same. First of all, it consists of the Things, which are objects con...

For human life, humidity affects health a lot. If the humidity is too high 90%, people will increase the risk of arthritis, cough, asthma, headaches and several other chronic diseases. Irritating fatigue, too high humidity is also a condition for harmful bacteria and fungi to grow.  Also affects electronics and furniture in the house. Have you ever wondered what humidity is that can affect your life so much. How can we measure moisture and how do we increase or decrease it? This article will help you answer these questions. 1. Humidity Humidity is the concentration of water vapor presenting in the air. The steam, the gaseous state of water, is hard to see with the human eye. Humidity indicates the possibility of rain, mist, or fog. The higher the humidity, the less effective it is to cool down our bodies, which is why sometimes hot summers don’t make us as uncomfortable as hot humid autumn days. Fog in a tropical rainforest (Source: Wikipedia) Humidity has 3 concepts: absolute humi...

Machine Learning has been proved to be one of the most powerful techniques for optimizing energy use in manufacturing such as machines, equipment, engine. Moreover, Machine Learning also is used to improved production performance and quality.  The computerization of industrial machinery is also undergoing rapid development. This article focuses on the benefits of Machine Learning in manufacturing such as predicting maintenance to decrease down-time, reducing maintenance cost, saving resources,.. and some specific success cases. Machine learning in predictive maintenance (Source: The Future Factory) Predictive maintenance can help to determine the status of the equipment/machine in manufacturing and predict when the maintenance should be performed. By knowing exactly when the machine needs to be maintenance, the factory can greatly reduce down-time. Obviously, the implementation of Machine Learning solution can greatly save the cost and endure the stability of the equipment/machine....