Real world applications

MODE has limitless ways to collect the data you need to help a business grow. Below are a couple of scenarios that illustrate the way MODE may help your business collect data from the real world.


Improve cost efficiency in manufacturing processes

Today’s factories are nests of data. From the number of units produced per hour, to the speed of the conveyor, to the temperature of the spindle of motor of the machining robot arm. All operations are measured in real time, and a “digital twin” simulating a factory using only digital data is born.

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The factory’s digital twin allows for quick, real-time decision making. By visualizing production speed and machine operation status in real time, abnormalities can be quickly recognized and fixed - maintaining production quality. Under efforts of Factory Automation, different sensors and visualization tools have been introduced in today’s manufacturing sites to gather data and inform workers instantly on various conditions in the factory.

Solutions in these factories are more and more accurate with the advancement of sensing technology, artificial intelligence, and connection to the internet. With connection to the internet, monitoring activity can be done remotely. But what is the value of connecting them to the internet, or making it cloud-enabled? The value is often realized not on the factory floor, but at the corporate level.

For example, a company wanting to measure energy consumption for production in factories located across the country can do so remotely, allowing them to remotely analyze the data to optimize product manufacturing costs across the company. Through sensors connected to the internet, corporate management can now aggregate and make decisions for multiple factories without leaving the headquarters.

In the process of manufacturing products, price fluctuations of raw materials and energy consumption are making decisions increasingly complex. For instance, controlling price differences of electricity suppliers is crucial in maintaining an efficient, green factory. By converting constant fluctuations in energy consumption into data and analyzing all factory data comprehensively, businesses automatically optimize cost control for their products and maximize cost performance.

By accumulating daily changes in energy costs over the long term combined with learning by artificial intelligence, the accuracy of manufacturing cost optimization improves daily. Through this, factory automation of the next generation has emerged.

At MODE, we provide a platform that collects and accumulates all manufacturing data on a large scale for the long term. Our smart gateway supports various devices, collects data reliably and stores the data in a high-speed database to provide you with the real-time data required for your needs.


End-to-end product reliability for cold chain operations

With the growing complexity and diversification of a cold chain, the need for reliable and secure delivery of products becomes crucial. A cold chain is a temperature-controlled supply chain. An unbroken cold chain is an uninterrupted series of refrigerated production, storage and distribution activities, along with associated equipment and logistics, which maintain a desired low-temperature range. For industries using a cold chain system, products must be kept at specific temperatures throughout the entire process.

In the transportation industry, transportation of ice cream, fresh fish, and other perishable goods for long periods of time while preserving them in a refrigerated vehicle is very common. This may seem fairly simple with present day technology. However, how can the current delivery industry prove to its customers that the carried goods will always be at the optimal temperature? And in another scenario, if an error happens and the products were not kept at optimal temperatures, who would be responsible? How would we find the cause of the error and prevent potential issues from happening again?

If the ice cream was kept at the optimal temperature but melted when the box was opened, some customers blame the carriers and file a claim. In this unfortunate scenario, there is no way to prove the exact cause - whether the customer or the carrier were at fault.

To avoid such risks, carriers use smart technology to monitor the temperature of the refrigerator holding the products and save the temperature data along with the operation route data. Now, no matter what happens along a route, the carriers know exactly what is happening and when.

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Along with basic functions such as visualization of driving route data, real-time measurement and accumulation of driving speed, fuel efficiency, and detection of dangerous driving, the MODE Mobility Cloud provides a solution for temperature management of refrigerated vehicles through a customizable intelligent gateway. Such data monitoring not only makes the delivery operations more secure and reliabe, but also offers a way for carriers to certify the delivery conditions to their customers.

MODE turns these ideas into reality efficiently and at a low cost by introducing IoT-based automation. With the growing needs for quality assurance in the transportation industry, MODE's flexible solution is a good fit for the problem.


Now that you have seen some different use cases of MODE, start building your first project with our Getting Started guide.