Sensor applications in new IoT aquaculture systems

The popularity of the Internet of Things and sensor technology has not only brought convenience to people's lives, but also provided more possibilities for the optimization of the production process.

Canada: Gold mining operations use sensor technology to cut costs

At present, the commodity market is facing the coldest winter in the past 20 years. The prices of commodities such as coal and zinc have fallen by 80% from the record highs set a few years ago, partly because of the Chinese economy, the world's largest raw material consumer in years. Growth has slowed, and it has not yet shown signs of a slowdown in economic slowdown.

However, global resource companies have digested the impact of falling revenues through the adoption of new technologies such as sensors. In a new gold mine in northern Canada, huge fans are automatically inductive. When workers and equipment carrying sensors enter the 650-meter working area, the fans will start to absorb dust and diesel smoke. After the workers and equipment leave. Then shut it down on its own, saving a lot of energy compared to the previous day running.

It is reported that through the use of the above sensor technology, the well-known gold miner Goldcorp's Eleonore mine saves $25 million in annual costs, and also helps the commodity trading giant Glencore's copper mine in Canada cut energy costs by more than 20%.

New IoT Aquaculture: Sensor Applications in Water Circulation Systems

In the traditional farming mode, the monitoring of water quality is not recorded in real time, which requires a lot of labor to ensure the safety and stability of water quality. With the development of online monitoring technology, most factory aquaculture companies are equipped with sensor groups to achieve optimal monitoring results.

In the recirculating aquaculture system with mature IoT application technology, data collection is not the final result, and the system self-adjustment and stable operation is the ultimate goal. The system needs to adjust the equipment according to the collected data, such as using an oxygen sensor to control the start and stop of the feeding module, the pH sensor controlling the working state of the pH regulator, and the like. In this way, through the combination of sensor group, data transmission, PLC control and frequency conversion equipment, the self-adjustment of the system and the long-term stability of water quality are ensured.