WeiQian By organizing R&D engineers and scientific research experts to carry out technical research, we have achieved major breakthroughs in the following key technical issues, ensuring the reliability, stability and security of the farming IoT system.
1. Stability and accuracy of embedded industrial flat-panel sensor equipment:
In terms of the Internet of Things in the farming industry, the accuracy of data is very important, which places higher requirements on the stability and accuracy of sensors.
On the one hand, in the case of harsh environments or natural disasters, if the sensor fails to collect data in time or the data is wrong, the system will not be able to perform correct processing during automated management, which may lead to significant economic losses; or the opposite may occur. False warnings can disrupt normal production activities.
On the other hand, if the error of the collected data is too large, the data obtained by the user will be greatly different from the actual situation, thus causing the user to operate incorrectly, which will affect the actual breeding production and cause the user to suffer economic losses.
2. Fault tolerance, error detection and correction capabilities of embedded industrial tablet systems:
On the premise of ensuring the stability and accuracy of the sensing equipment, the system must also have strong error tolerance and error detection and correction capabilities.
Due to abnormalities in the sensing equipment leading to data collection errors or transmission network problems, the data obtained by the data processing center will inevitably have errors, which requires the system to be highly robust and be able to continue to operate normally in the event of data errors; at the same time, the sensors The format of transmitted data needs to be well designed, with check bits added so that the receiving end can detect errors and correct them.
We know that the longer the check bits are, the stronger the error detection and correction capabilities are. However, as the check bits increase, the data transmission efficiency becomes lower. Therefore, how to design the transmission data format and determine the error detection for the actual system? , the balance point between error correction capability and data transmission efficiency is a difficulty in the system.
3. Processing, mining and analysis of massive data on embedded industrial tablets:
In the aquaculture Internet of Things, there is a massive amount of livestock product data. Sensors will continuously send data at a certain period, and the accumulation of these data will form a massive amount of data. On the one hand, it is necessary to solve the problem of data storage. On the other hand, how to effectively organize these massive data and what kind of data structure to use to efficiently analyze and process the data are also challenges.
In short, China’s Internet of Things has entered a period of rapid development, and aquaculture production relying on the Internet of Things is a new development trend. Shenlanyu Company uses the Internet of Things to realize automated control, early warning, disaster reduction, and disaster resistance in aquaculture production, which greatly improves the production efficiency of the aquaculture industry and plays its part in the development of the aquaculture industry.
Post time: Sep-22-2023