Selecting the location of industrial temperature and humidity sensors involves determining the optimal measurement positions within an environment. The goal is to obtain reliable and representative data while meeting quality and compliance requirements.
In Industry 4.0, these sensors are used to:
The quality of the measurements depends not only on the IoT sensor, but above all on the quality of its installation and the associated field validation.
Improper positioning leads to significant discrepancies between the measurement and the physical reality of the site.
Poor environmental monitoring practices can have several significant consequences. They can lead to non-compliance during quality audits, as well as errors in product release, particularly in the pharmaceutical and food industries. They also increase the risk of undetected deviations in the cold chain. Finally, they can lead to excessive energy consumption due to poor control of HVAC systems, as well as a loss of environmental traceability.
Placement should never be based on guesswork. It follows a structured engineering approach.
Before any installation, it is necessary to conduct an environmental assessment of the site:
This step follows a thermal mapping approach, used in GMP (Good Manufacturing Practices) and pharmaceutical environments.
Critical areas are those that directly impact:
This applies to sensitive storage areas, preparation areas, cold rooms, and packaging areas alike.
A good sensor location must meet several essential criteria. It must be situated away from direct influences such as HVAC airflow or industrial equipment. It must also ensure good measurement stability over time. Finally, it must provide volumetric representativeness of the monitored area.
-> The goal is for the sensor not to measure just a local area, but to reflect the overall behavior of the environment.
In complex industrial environments:
A thorough industrial installation goes beyond mere positioning. It requires structured field validation.
Multi-sensor comparison involves analyzing the differences between various measurement points. It helps identify spatial gradients in temperature or humidity. It is also used to verify the spatial consistency of the collected data.
The observed discrepancies between measurements can have several causes. They may stem from the sensor itself, particularly its accuracy or technical limitations. They may also be due to actual variability in the environment. Finally, they may result from the sensor’s spatial positioning.
It is therefore essential to clearly distinguish between these three sources in order to interpret the data correctly.
In regulated environments, equipment qualification generally follows three steps. IQ (Installation Qualification) verifies that the installation complies with requirements. OQ (Operational Qualification) confirms proper operation under nominal conditions. PQ (Performance Qualification) evaluates performance under actual operating conditions.
This approach is commonly used in the pharmaceutical and food industries.
Undetected breaks in the cold chain are primarily due to a lack of redundancy, which limits the detection of localized deviations. They are also linked to improper initial sensor placement, which causes long-term measurement bias.
Finally, readings that are not representative of critical areas—particularly storage and transit—prevent a reliable understanding of the actual state of the thermal chain.
👉 Learn more: The 5 Critical Errors That Cause Cold Chain Breaches in Industrial Environments
A properly positioned sensor provides reliable measurements, but it is the analysis of the entire dataset that enables effective management of an industrial environment. By connecting multiple sensors to a monitoring platform, it becomes possible to monitor multiple zones in real time, receive alerts when thresholds are exceeded, log measurements, and demonstrate compliance during audits.
This approach is particularly well-suited to environments where cold chain continuity, product quality, or compliance with regulatory requirements are major concerns.
👉 Detailed use case: Temperature and humidity monitoring and control
Sensor positioning is only valuable if it is integrated into a data analytics system.
Modern systems enable:
In a modern industrial architecture, sensors must be integrated into a centralized monitoring platform.
ATIM offers the ATIM Cloud Wireless solution, which enables :
This approach transforms a network of sensors into a qualified industrial monitoring system that can be deployed at the site or multi-site level.
Current solutions rely on autonomous temperature and humidity sensors, low-power IoT devices, and long-range communication networks, such as LoRaWAN. The collected data is then centralized in a cloud-based monitoring platform, facilitating real-time monitoring, measurement logging, and alert management.
👉 Explore the full range of IoT devices
By centralizing data from multiple sensors, these architectures ensure consistent measurements, simplify monitoring of multi-site facilities, and provide a comprehensive view of environmental conditions for faster decision-making.
In cold rooms, warehouses, or refrigerated vehicles, the temperature is not always uniform. Temperature gradients can create warmer or colder zones that are invisible when using a single measurement point. A multi-sensor network allows these variations to be detected quickly and helps minimize the risk of cold chain breaches.
Pharmaceutical products are subject to strict storage requirements. Proper sensor placement ensures reliable monitoring of critical areas and facilitates demonstration of compliance with GMP and GDP standards during audits.
In warehouses and logistics hubs, repeated door openings, loading docks, and seasonal variations cause rapid fluctuations in temperature and humidity. Increasing the number of measurement points allows for better tracking of these variations and identification of the most sensitive areas.
Humidity control is essential for minimizing the risks of static electricity (ESD), oxidation, or degradation of electronic components. Continuous monitoring of environmental conditions helps ensure the safety of manufacturing, storage, and assembly operations.
The choice of location for your industrial temperature and humidity sensors is a critical factor in the performance, compliance, and reliability of environmental data.
A robust industrial approach relies first and foremost on:
In modern industrial environments, performance no longer depends solely on the sensor, but on the entire system of measurement, validation, and data utilization.
Why is sensor placement critical?
Because it determines the representativeness of the measurements used to make industrial decisions.
Are multiple sensors necessary?
Yes, whenever an environment has temperature or humidity gradients.
Where should a sensor be placed in a warehouse?
In a central area, at mid-height, out of direct airflow.
Can a poor sensor placement be corrected?
Partially through recalibration, but only on-site recalibration guarantees reliability.
What is the best overall approach?
A combination of mapping, systematic positioning, and IoT monitoring.