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How can an environmental management system for breeding and gestation barns avoid conflicts in environmental control, such as "adjusting temperature and reducing ammonia but increasing humidity," thro

Publish Time: 2026-02-03
In modern pig farming, pregnant sows are extremely sensitive to their environment—excessive temperature can lead to embryonic death, excessive humidity promotes pathogen growth, and excessive ammonia can cause respiratory diseases. Traditional environmental control often falls into the trap of "treating the symptoms rather than the root cause": increasing ventilation to lower the temperature leads to a sudden increase in humidity; forceful ventilation to remove ammonia causes drastic fluctuations in the barn temperature. This mutual constraint between indicators not only reduces control efficiency but also threatens the health and reproductive performance of the pig herd. An environmental management system for breeding and gestation barns, through multi-parameter coupling algorithms, intelligent target setting, and gradient frequency conversion control, achieves dynamic synergy of multiple indicators such as temperature, humidity, ammonia, and wind speed, truly achieving "overall optimization" rather than "local over-adjustment" for precise environmental management.

1. Multi-indicator coupling control: Breaking the limitations of single-dimensional control

The system abandons the crude logic of "single threshold triggering" and instead adopts a multivariate feedback model. Centered on Yuhong's patented "Automatic Environmental Indicator Setting System," the system collects real-time data on indoor temperature, relative humidity, ammonia concentration, carbon dioxide levels, and external weather conditions. It dynamically calculates the interaction weights between these indicators using a built-in algorithm. For example, when an increase in ammonia concentration is detected, the system does not immediately activate the fans at full power. Instead, it first assesses the current temperature and humidity: if the temperature is close to the lower limit, it prioritizes activating heating-assisted ventilation or a local exhaust + make-up air balance mode to avoid stress caused by direct cold air; if the humidity is low, it can moderately increase ventilation without worrying about condensation. This "global perspective" ensures that any control action takes into account the stability of other environmental factors.

2. Odor Gradient Treatment Technology: A Smart Variable Frequency Strategy with Primary and Secondary Controls

The system's unique "Odor Gradient Treatment Technology" further optimizes the execution logic. This technology sets temperature as the primary control factor, while humidity and ammonia are used as correction factors in the variable frequency regulation of fans, evaporative cooling pads, and heaters. For example, during the hot and humid summer months, the system fine-tunes the start-stop frequency of the evaporative cooling pad pumps based on ammonia concentration—high ammonia levels slightly increase ventilation, while simultaneously increasing fan speed to maintain the perceived temperature. In the cold and humid winter months, even if ammonia levels are slightly high, insulation is prioritized, with air replacement only achieved through intermittent low-speed ventilation. This "priority-based, dynamic calibration" strategy avoids energy waste caused by frequent equipment start-ups and shutdowns, and prevents drastic environmental fluctuations.

3. Adaptive Target Setting and Safety Redundancy

Thanks to the support of the IoT platform, the system can automatically set daily environmental target curves based on season, pig age, and stock density, and autonomously optimize its operating plan. For example, a stable low temperature is required in early pregnancy, while a slight increase to 20–22℃ is needed in later stages; the system can switch modes without manual intervention. Simultaneously, 33 text-based alarms and modular design ensure high system reliability: when a fan fails, the system automatically distributes the load to other units and sends a "Fan No. 3 motor overheating" alert; after lightning protection is triggered during thunderstorms, backup power seamlessly takes over critical equipment. Even if users manually adjust the system temporarily, it will record the operation and revert to automatic logic as needed, balancing flexibility and safety.

In summary, the environmental management system for breeding and gestation barns no longer pursues the achievement of a single indicator in isolation. Instead, like an experienced breeder, it makes comprehensive judgments, weighs the pros and cons, and operates meticulously to find the optimal balance among complex variables. This not only improves sow welfare and productivity but also marks a crucial leap in smart farming from "automation" to "intelligence."
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