Industrial Automation

 

Appropriate environmental conditions are necessary for optimum plant growth, improved crop yields, and efficient use of water and other resources. Today, advances in sensors, actuators, data acquirement modules and gateway technology, both in hardware and software, have enabled distributed implementation of sensor and control action over sensor/actuator networks. By automating the data acquisition process of the variables that govern plant growth, greenhouse monitoring can be performed efficiently and with minimal human intervention.

Securing remote and unmanned industrial facilities such as oil fields and gas pipeline is always a challenge because these off-site properties are often located in far-flung and distant rural areas where man-hours for facility maintenance are long and costly. For companies looking to automate the safeguarding of these remote and critical facilities, finding a solution capable of monitoring multiple remote sites on a limited budget isn’t always easy.

A leading manufacturer of laser cutting machinery in Switzerland was looking for a new computer system to install in their new product line. Their earlier product line were using full-sized industrial motherboards, which were too slow for the demanding calculations.

The Global Greenhouse Horticulture market has been growing exponentially because of population growth and rising demand for food, which is expected to increase by 100 percent by 2025, especially in the Americas, the EMEA and the APAC regions. In-door growing, one of the most heavily invested and realistically practical applications of the Horticulture market, is the answer to such demand.

The manufacturing sector is facing challenges by increasing measures on traceability and regulation compliances. Manufacturers are demanded for complete visibility of their supply train, including the origins, make, and origins of the goods they receive from the suppliers. On the other hand, today’s consumer-driven market escalades the demands for high precision and efficiencies in the production phases. Therefore, automated logistic systems combined with machine visions and robotic arms are more precise and faster for repetitive routines, such as container-fill level, seals, label check, unit counting and barcodes, than traditional manual packaging and sorting. To accomplish the integration of machine visions and robotic arms, a high-performing embedded computing system is required to drive robotic guidance and vision inspection technology in order to improve traceability, automated sorting and inventory tracking.

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