What affects the detector's autonomy?

Lifetime information

The lifespan of a typical IoT system detector is 10 years. After this period, it is crucial to replace the typical IoT system detector to ensure its proper functioning and avoid any energy-related failures. The energy consumed by the standard IoT detector plays a key role in its long-term performance. Effective energy management ensures optimal reliability throughout the life of the standard IoT detector. Thus, for optimal safety and efficient energy use in IoT system-type devices, it is imperative to follow this recommendation and ensure regular maintenance of IoT system-type equipment. A good energy signal in the system also maximises the performance and durability of IoT system-type detectors, thus guaranteeing constant reliability.

How to check that your detector is working properly

To ensure that the IoT sensor is working properly and that the battery retains its full capacity, it is essential to monitor its condition regularly. Several factors can influence the condition of the battery and the ability of the IoT sensor to provide optimal protection. Each IoT sensor is designed to optimise its energy consumption while maintaining reliable performance and effective responsiveness to triggered alarms. Here are some essential steps to take to ensure the condition and durability of your IoT sensor.

• Clean regularly: Use a vacuum cleaner brush to remove dust that could clog the sensors and reduce their ability to detect alarms.
• Do not use cleaning products: Chemicals can alter the internal components of the sensors, thus reducing their ability to function effectively and trigger alarms when needed.
• Test once a month by pressing the test button: This regular test ensures that the sensor is working properly and that the battery capacity is sufficient to activate alarms in case of a problem.
• Do not paint the motion detector: Painting the sensor can hinder its ability to correctly detect anomalies and generate alarms, thus reducing its effectiveness.

By adopting these good practices, you will extend the battery life and maintain the sensor's full capacity to guarantee your safety by activating alarms in case of danger. Paying close attention to the condition of the sensor and these details will maximise the performance and durability of the device while ensuring optimal protection of your environment.

Locations to avoid for optimum autonomy

The location of the temperature sensor plays a key role in battery life and the accuracy of temperature measurements. Certain environments can reduce the performance and lifespan of the temperature sensors due to voltage and temperature variations. Locations to be avoided include:

• Bathrooms, kitchens, showers, garages: These rooms are often damp and can experience significant variations in voltage and temperature, which can affect the proper functioning of the detector and its ability to measure temperature accurately. In addition, a controller placed in such areas may have reduced responsiveness.
• Rooms that are too humid or have extreme temperatures: The sensors should not be placed in areas where the temperature can exceed 50°C or fall below 10°C, as an unstable or excessively high temperature can impact their efficiency and reduce battery life. A controller in an unstable environment will also struggle to maintain optimal performance.
• Proximity to sources of heat or cold: Installing a temperature sensor too close to a radiator, air conditioner or a window exposed to direct sunlight can distort the temperature measurement and accelerate battery wear. A controller too close to these sources can distort voltage readings and result in inefficient battery management.
• Poorly ventilated spaces: A detector sensor placed in a confined space without air circulation can record an inadequate temperature, thus affecting the accuracy of the readings and the responsiveness of the device. A controller in a closed environment can also lead to a build-up of heat, directly impacting the autonomy and performance of the detector sensor.

Ensuring installation in an environment with a stable temperature optimises the autonomy of the detection device and the accuracy of the data collected, and guarantees that the controller operates optimally to provide reliable readings, taking into account voltage and temperature.

What factors influence autonomy?

Several factors can influence the battery life of the detectors and the efficiency of the batteries used. Here are some key elements to consider in order to optimise battery life, extend battery life, reduce energy consumption and ensure a reliable signal for your devices:

Depending on the power of the data transmitted

The devices consume energy when transmitting the data measured by the detectors. The lower the number of transmissions, the greater the autonomy of the devices and the lifespan of the batteries. A good balance between transmission frequency and signal quality is essential to guarantee optimal performance while limiting the energy consumption of the devices.

Depending on the power of the alarms

Each triggered alarm consumes energy and uses up the batteries of the detector. Limiting false alarms and ensuring a stable environment can help preserve battery life and efficiency, while maintaining a reliable and constant signal. Reducing false alarms also helps to reduce unnecessary energy consumption. It is therefore crucial to minimise the number of unnecessary alarms to optimise battery life and improve the overall performance of the devices.

Depending on the frequency of the LED

When the LED flashes, the battery is put under more strain. Frequent use of the LED reduces the autonomy and directly impacts the lifespan of the product's batteries. It can also affect the stability of the signal, especially in environments where transmissions need to be optimised. Effective management of LED consumption extends the lifespan of the batteries.

Depending on the LoRaWAN coverage mode

LoRaWAN technology uses a mechanism called ADR, which adapts the radio transmission parameters according to the level of network coverage. A mode placed in an environment with very good radio coverage can consume up to 20 times less energy and preserve its batteries longer than a sensor device placed in a less favourable environment. A good LoRaWAN signal is therefore a determining factor in maximising the autonomy of the mode and reducing energy consumption.

By taking these different elements into account, it is possible to optimise the autonomy of the detection devices while reducing energy consumption and ensuring a quality signal, thus guaranteeing long-term sustainable and efficient performance.