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By Jenny Lin [email protected] Crover’s first product is a probing device able to ‘swim’ through stored grains, such as wheat and barley in sheds/silos, improving their packing and measuring conditions. Unlike current grain monitoring technologies that measure only one variable and have limited reach, Crover provides real-time data across a range of measurements throughout the whole silo. This helps grain-storekeepers identify critical conditions early and maintain the quality of their stock. #SavingGrains The RockBLOCK device can send and receive short messages from anywhere on Earth with a clear view of the sky. It can control the movement of the robot as well as transmit temperature and moisture information from the storage sites. Database We currently have three different sizes of storage units, the database stores the data of each storage unit depending on the size of the storage unit (small, medium, and large). The data can be queried by identifying the site using coordinates, and then identifying the storage unit by number. The Django framework was used to develop the web application. It is a free and open source python framework which enables fast, secure and maintainable development of the website. Below is the user interface of the web application. The web application is deployed on Amazon Web Services using Elastic Beanstalk. AWS Elastic Beanstalk employs Auto Scaling and Elastic Load Balancing to scale and balance workloads. It provides tools such as: Amazon CloudWatch to monitor the health of deployed applications; capacity provisioning due to its reliance on AWS S3 and EC2. Dash is an open-source python framework. It is built on top of Flask, Plotly.js, React and React.js. We integrated Dash by plotly into the Django web application to allow more interactivity between the novice users and the application. Below is a 3D surface plot, which plots a heatmap for each array/layer of the storage unit. One for temperature and one for moisture (each of different size of storage unit). The graphs below show the mean surface values of the storage unit. The first robot able to ‘swim’ through bulk solids Above is a scatter graph, where each array (colour) represents a different layer (height, z-axis) of the storage unit. It shows how the temperature changes over the rows (x-axis) of the storage unit, with the max, min and mean temperature. We also wanted to display the data if it reaches a certain threshold, which has a default value but can also be inputted by the user.

through bulk solids By Jenny Lin Jennylin5@hotmail

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Page 1: through bulk solids By Jenny Lin Jennylin5@hotmail

By Jenny [email protected]

Crover’s first product is a probing device able to ‘swim’ through stored grains, such as wheat and barley in sheds/silos, improving their packing and measuring conditions.Unlike current grain monitoring technologies that measure only one variable and have limited reach, Crover provides real-time data across a range of measurements throughout the whole silo. This helps grain-storekeepers identify critical conditionsearly and maintain the quality of their stock. #SavingGrains

The RockBLOCK device can send and receive short messages from anywhere on Earth with a clear view of the sky. It can control the movement of the robot as well as transmit temperature and moisture information from the storage sites.

DatabaseWe currently have three different sizes of storage units, the database stores the data of each storage unit depending on the size of the storage unit (small, medium, and large). The data can be queried by identifying the site using coordinates, and then identifying the storage unit by number.

The Django framework was used to develop the web application. It is a free and open source python framework which enables fast, secure and maintainable development of the website. Below is the user interface of the web application.

The web application is deployed on Amazon Web Services using Elastic Beanstalk. AWS Elastic Beanstalk employs Auto Scaling and Elastic Load Balancing to scale and balance workloads. It provides tools such as: Amazon CloudWatch to monitor the health of deployed applications; capacity provisioning due to its reliance on AWS S3 and EC2.

Dash is an open-source python framework. It is built on top of Flask, Plotly.js, React and React.js. We integrated Dash by plotlyinto the Django web application to allow more interactivity between the novice users and the application.

Below is a 3D surface plot, which plots a heatmap for each array/layer of the storage unit. One for temperature and one for moisture (each of different size of storage unit). The graphs below show the mean surface values of the storage unit.

The first robot able to ‘swim’ through bulk solids

Above is a scatter graph, where each array (colour) represents a different layer (height, z-axis) of the storage unit. It shows how the temperature changes over the rows (x-axis) of the storage unit, with the max, min and mean temperature.

We also wanted to display the data if it reaches a certain threshold, which has a default value but can also be inputted by the user.