Intelligence Sensor Network：Unmanned fermentation process in Baijiu production
“Manual monitoring using glass thermometers often leads to error and inconsistency? ”
There is a better way to overcome and get precise control of fermentation conditions.
Challenges
Manual monitoring requires 10 workers to complete 3654 tanks in 58 rooms fermentation temperature measurement work in 4-6 hours！
Meanwhile：
Worker using glass thermometers can result in inaccurate readings and delays in corrective actions which can lead to variations in product quality.
See what Seeed can provide:
Seeed Studio combining its IoT Sensors and software to create an Intelligence Sensor Network to address the challenges faced in Baijiu fermentation.
The network can monitor temperature, humidity, pH, and microbial activity in real-time.
Fermentation room monitoring
(Temperature and CO2)
Wireless SenseCAP sensor is installed to replace the traditional temperature measurement tools, and real-time monitoring of the two key indicators in the fermentation room is carried out at the same time.
Fermentation tank monitoring
(Temperature)
According to the characteristics of the fermentation tank temperature measurement, customized temperature sensors combined with SenseCAP LoRaWAN wireless data collector, to achieve the effect of layered multi-point temperature measurement, reduce the monitoring point puffing, real-time upload of monitoring data.
Why Seeed Studio？
3-step, non-intrusive installation, convenient to add more or remove sensors accordingly
All Sensors can withstand high temperatures and corrosion in fermentation environments
Food-grade, long probes, reasonable measuring points, robust and durable, A single charge can last 3-5 years
Combined with tracable data management and analysis system，Privately deployment ensures data security
Before & After
KPIs
Before
After
Labor Cost
High，due to manual Monitoring and adjustments
Reduced labor, lower costs by 90%
Monitoring Points
Too many, Thousands of
Reasonable, hundreds of, reduced by 80%
Quality Consistency
Variable, prone to inconsistencies
High, consistent across batches
Yield
Lower, due to inconsistencies
Higher, optimized process
Data Management
Limited, manual record-keeping
Comprehensive, automated data collection
