Real-Time Monitoring and Automation in Grain Storage Using Famsun Technologies

Image: Famsun

At a modern grain storage facility operating in south-west China, an integrated system utilising sensor technologies, digital twins, data analysis and automation systems is being implemented to monitor and manage storage processes. The system, based on technologies developed by Famsun, combines real-time monitoring, anomaly detection and automatic intervention under specific conditions within a single infrastructure.

At the facility, which comprises 16 silos, environmental conditions, grain temperature and moisture, gas concentrations and the operational status of equipment are continuously monitored via weather stations and high-precision sensors. The data collected enables the storage conditions to be assessed in real time.

Digital twin technology, one of the system’s key components, integrates data from various sources into a real-time virtual model of the facility. This enables operators to monitor conditions inside the silos and the operational status of equipment via a single interface.

Anomalies Are Detected and the Intervention Process Is Initiated

In Famsun’s implementation, when abnormal conditions arise, the system analyses changes in the relevant parameters to help identify the affected silo or area. This information is used by operators to assess the situation and determine the appropriate intervention.

For certain conditions, some interventions can be carried out automatically. The system can activate silo headspace ventilation and silo climate control equipment when necessary. According to the technical information provided, this automatic intervention process can be initiated within 90 seconds.

The integration of the digital twin with the grain handling control system also enables the joint monitoring of operations relating to both storage and the movement of grain within the facility. Consequently, both silo conditions and the status of transport equipment can be assessed via the same system.

From Monitoring to Data-Driven Management

The combined use of remote monitoring, smart alarm systems, data analysis and preventive maintenance functions presents a more comprehensive management approach to grain storage than merely monitoring current conditions.

The system provides an infrastructure that evaluates various parameters—such as temperature, humidity, gas concentration and equipment status—in tandem, enabling the earlier detection of potential changes and the implementation of automatic interventions where necessary.

The system implemented by Famsun at this grain reserve facility in south-west China stands out as an example of the combined use of digital twins, sensor technologies, real-time data analysis and automation in grain storage processes.