Models

Smart Spot Crowd Monitoring

The Smart Spot Crowd Monitoring model device MUST be configured with one of the next services:

• Count Service
• Tracking Service.

Count Service

The main goal of this service is to detect, temporarily accumulate, and report the number of devices detected in the last few minutes to track the flow of devices in the location where the device is installed.

The accumulation is done in different configurable time intervals, which by default are 1 min, 5 min and 10 min. The reporting interval matches the smallest of the configurable time intervals.

The service configuration is done (via Homard) in the LwM2M object 'HOP: Crowd Monitor". It is possible to configure parameters for detection, among them:

• Lower counter interval: Lower accumulation time interval, will be used as interval for data reporting. (minimum 1 min and always less than medium and higher)
• Medium counter interval: intermediate accumulation time interval. (This has no limit but we should put 10, otherwise there is a lack of RAM for so many MACs in certain places, always greater than lower and less than higher)).
• Higher counter interval: Long accumulation time interval. (This has no limit but we should put 10, otherwise there is a lack of RAM for so many MACs in certain places, always greater than lower and medium).
• WiFi RSSI Detection Threshold: Detection "distance" adjustment (subject to the emission force of the detectable device).
• BLE RSSI Detection Threshold: Detection "distance" adjustment (subject to the emission strength of the detectable device).
• WiFi: MAC filter: Type of MACs to detect (random, non-random, all)
• BLE: MAC filter: Type of MACs to detect (random, non-random)

Tracking Service

The main goal of this service to add to Count Service the ability to detect, process and report information extracted from detected devices, always in an obfuscated way for data protection. In Tracking mode, only one counting interval is used, corresponding to the "Lower Counter Interval" and the data report is carried out when the interval expires, at which time the device sends all the identifiers of the devices detected in that interval. It makes a report for each device detected which contains the MAC identifier obfuscated by the SHA1 hash algorithm.

The service configuration is done (via Homard) in the LwM2M object 'HOP: Crowd Monitor". It is possible to configure additional parameters to the previous ones explained in the Count Service, but related to Tracking, among them:

• Report MAC Mode: Selection of identifier type (WiFI/BLE) and report protocol (LwM2M/MQTT/SENTILO).
• Report MAC Format: Information report format: RAW or SHA1 (default).
• Report MAC Type: Configuration of resources used to report identifiers via LwM2M

Smart Spot Air Quality

The Smart Spot Air Quality model comes along with a secondary enclosure with gas sensors and other list of optional sensor extensions.

Gas sensors availability

Regarding the list of gas sensors available check the next table. All pollutants are divided into different application fields keeping in mind the cross sensivity between some sensors.

The cross sensitivity between the gas sensors is:

NO2 sensor

Sensor specifications:

O3 sensor

Sensor specifications:

CO sensor

Sensor specifications:

SO2 sensor

Sensor specifications:

NO sensor

Sensor specifications:

H2S sensor

Sensor specifications:

NH3 sensor

Sensor specifications:

VOC sensor

Sensor specifications:

Note: This is an optional sensor

CO2 sensor

Specifications:

(1) Deviation to a high-precision reference in the calibrated range (400 – 10’000 ppm) of the SCD30. Accuracy is fulfilled by > 90% of the sensors after calibration. Rough handling, shipping and soldering reduces the accuracy of the sensor. Full accuracy is restored with FRC or ASC recalibration features. Accuracy is based on tests with gas mixtures having a tolerance of ± 1.5%.

(2) RMS error of consecutive measurements at constant conditions. Repeatability is fulfilled by > 90% of the sensors

Note: This is an optional sensor

Particulate Matter sensor

Note: This is an optional sensor.

Particulate matter is composed of small solid or liquid particles floating in the air. The origin of these particles can be the industrial activity, exhaust fumes from diesel motors, building heating, pollen, etc. These tiny particles enter our bodies when we breath. High concentrations of particle matter can be harmful for humans or animals, leading to respiratory and coronary diseases, and even lung cancer. That is why this is a key parameter for the Air Quality Index.

Particles are classified as follows:

• PM1: Mass (in μg) of all particles smaller than 1 μm, in 1 m³.
• PM2.5: Mass (in μg) of all particles smaller than 2.5 μm, in 1 m³.
• PM10: Mass (in μg) of all particles smaller than 10 μm, in 1 m³.

High humidity or foggy environments could affect the measures of the sensor. The particles can be swollen by or coated by water. This results in measures which are higher than in dry environments.

If high humidity, fog or mist are present, then the sensor will actually measure the water droplets in the air, causing very high readings.

Specifications:

(*) Based on 100% detection efficiency at 0.35µm, 50% at 0.3µm

Noise level sensor

Note: This is an optional sensor.

Specifications:

Measurements provided by the sensor: