Definition
Temperature and Humidity(Temperature & Humidity) refers to the combined monitoring of temperature and humidity. Environmental temperature and relative humidity are simultaneously collected through temperature and humidity sensors (such as DHT22, SHT30) for environmental monitoring in scenarios such as warehousing, cold chain, data centers, industrial production lines, and agricultural greenhouses. Temperature and humidity are Temperature Control, Temperature-Controlled Chain The basic data sources, and exceeding limits can trigger Anomaly Alert.
IoT temperature and humidity monitoring through Terminal Or gateways uploads data to the platform, supporting Status Reporting, Event Trigger Report. Cross-border warehousing and cold chains need One SIM for Multiple Countries To ensure unified backhaul of temperature and humidity data from warehouses in multiple countries.
Technical Features and Architecture
The temperature and humidity architecture includes:Sensing Layer——Temperature and Humidity Sensor (Digital/Analog), Accuracy and Range Selection;Data Collection Layer——Terminal, Gateway, Edge Computing;Transmission Layer—— 4G/5G, LoRa, NB-IoT, wired;Platform Layer—— storage, visualization, alarm, report. Data can be accessed Traceability Platform To form Traceability Chain. To save traffic, strategies such as Differential ReportingAnd threshold triggering can be used.
In cross-border scenarios, temperature and humidity data must comply with GMP and cold chain regulations of various countries and support multi-time zone and multi-language reports.
Application in IoT and cross-border scenarios
Temperature and humidity are widely applied in: cold chain storage — monitoring temperature and humidity in cold storage, refrigerated trucks, and distribution centers; pharmaceutical storage — monitoring the storage environment of drugs and vaccines; data centers — monitoring the environment of server rooms; agriculture — temperature and humidity in greenhouses and storage; industry — production lines and cleanroom environments. Scenarios such as cross-border cold chain, global warehousing, and cross-border pharmaceuticals all rely on temperature and humidity monitoring to ensure quality and compliance.
SimtoLink provides connectivity covering 200+ countries for temperature and humidity monitoring devices, supports traceability platform integration, and facilitates the implementation of cross-border warehousing and cold chain scenarios.
Why temperature and humidity cannot be judged apart
In warehouse and cold-chain IoT, temperature and humidity are a pair taken at the same moment. Relative humidity says how far the water vapor in the air is from saturation, and the air's capacity to hold that vapor changes with temperature. A humidity percentage with no temperature from the same moment does not let the receiver judge condensation risk, and it does not let readings from different compartments be compared. The sensor reports the air around the probe, not the moisture content inside a package or in the product itself. A probe hung at the return air follows the air conditioner faster than the core of a stack. If the platform accepts the load against a core standard, it will release goods it should have held.
Calibration and range have to be managed as a pair as well. When a temperature probe drifts, a humidity reading that depends on it for temperature compensation drifts with it. Replacing or calibrating only one of them puts a step into the curve. That step is not a sudden change in the environment.
Conditions for combined monitoring in a cross-border warehouse
Monitoring is usable only if the probe position is written into a point list, samples share a timestamp, and the out-of-range rule follows the cargo rather than one national template applied to everything. Pharmaceuticals, electronic parts, and fresh food are not sensitive to humidity in the same direction. Some are harmed by moisture, some by drying out. Roaming or a cross-border private line only affects whether the message gets back to the platform. It does not change the criterion. When cellular service is unstable inside a metal cold store, the gateway should keep the paired samples locally and preserve sample time on the late upload, so a door-open period is not charged to the wrong shift.
Alarms should require a duration, not a single sample. Opening a door or loading causes a short swing. A single-sample alarm drowns normal work. Notify only when the reading stays beyond the limit. That duration must be longer than the job and shorter than the deviation the goods can tolerate. Both numbers should come from the storage conditions.
Covering different cargo with one threshold
A cross-border warehouse often keeps the previous shipment's humidity ceiling after the cargo owner changes. The SIM and the gateway are the same, and the criterion is already invalid. Another mistake is to upload the module-board temperature as warehouse temperature. The curve looks "stable" while communications are healthy, and the wrong object is being measured. A third is to pair a new humidity with an old temperature when a late upload overwrites a record. That builds a combination that never occurred, and a condensation calculation then gives the wrong conclusion.
A spot check should confirm three things: the samples are paired, the point is still the registered position, and the threshold belongs to the current cargo. If any one of them fails, the alarm statistics are not a compliance record.
If a probe is moved from the wall to a duct and the point list is not updated, old and new readings are joined on one series. The step at the join comes from the change of position, not from a sudden change in the warehouse. If a shift change traces blame along that step, a construction move is treated as a temperature and humidity failure. On the day of the move, insert a position-change mark in the series. Thresholds before and after the mark may differ.