Avnet: Helping businesses ride the IoT express train and move towards an intelligent future
In the manufacturing industry, machinery and production scale are often the hallmarks of a company's strength. But once they possess advanced production equipment and secure a large number of orders, can factory operators rest easy? Of course not. They then face a host of challenges: How to handle unexpected machine failures during production? How to balance production and maintenance to reduce operating costs? And how to leverage the vast amounts of order and transaction data to develop better production plans?
When you and your business are troubled by the above problems, Avnet's IoT experts have prepared solutions for you.
Step 1: Build a sensor system
Solving a problem requires first identifying it. Installing sensors at necessary locations can help monitor production processes in real time. These sensors can capture parameters of the equipment and surrounding environment, such as temperature, sound frequency, and vibration. Operators can use this information to determine whether the machine is operating normally, reducing the frequency of malfunctions. Sensors placed on conveyor belts can also detect whether the production process is busy or idle, allowing workers to make appropriate plans and reduce unnecessary waste and work.
Step 2: Cloud Data Analysis
After sensors collect data, it's sent to the cloud for analysis, creating predictive models and reports. Engineers can proactively maintain equipment based on its status to reduce downtime and extend its lifespan. Field service managers can also use predictive reports to develop targeted maintenance plans, minimizing equipment failures and reducing operating costs.
Step 3: Data Visualization
To keep abreast of production status, target completion, and yield rates, managers need to leverage analytical software and data visualization tools to extract more intuitive and clear insights from massive amounts of data, allowing them to flexibly adjust operational strategies and production targets. Equipment R&D departments can also track equipment failures across multiple customers and analyze the causes, enabling improvements to produce products with better performance and a better user experience.
Avnet's "Internet of Things Express" is ready, and we invite you to join us in a more intelligent and efficient future manufacturing.
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