Clearview Intelligence - Smart Mobility Solutions

Environmental

Environmental considerations such as noise, air quality, weather status and road surface temperature can be useful data streams for road network operators. Data is used to help understand the wider impact of a live road network on the environment or equally the effect of environmental factors such as weather on the road network and driver behaviour. Clearview offers a complete solution of non-invasive environmental sensors which can be used in a variety of different applications to report directly to a data collection platform for remote user analysis.

Metsense 2D Road

Metsense 2D Road unit

The Metsense ‘2D road’ system distinguishes between 8 road surface statuses: dry, moist, wet, deep water, slush, snow, bright ice, and dark ice.

The system, which is comprimised of a camera, infra-red flasher and a controller unit, can all be mounted on one droppable pole located next to a running lane and is used to monitor the road surface. This view gives an indication as to the current status of the road at that location. The system delivers the below data stream in real time (every 6 minutes):

– Measures road surface condition
– Distinguish between standard road surface conditions
– Surface friction level
– Road surface temperature from -40°C to +70 °C
– An image of the first running lane

All data is saved on a cloud platform and is available to road network operators for historic evaluation of the weather conditions at that location.

Features

– Measures road surface condition
– Distinguish between standard road surface conditions
– Surface friction level
– Road surface temperature from -40°C to +70 °C
– An image of the first running lane

Benefits

– Provides data analysis in real time (every 6 min)
– Sends data to a cloud platform for remote analysis
– No obscuration impact from fog or rain
– Can be used as a control terminal for additional sensors such as Metsalt and humidity sensors
– Installed on a droppable pole for full, easy on-site access

AQMesh Air Quality Sensor

Clearview Intelligence has partnered with AQ Mesh to provide a durable, compact, outdoor air quality monitor to detect different parameters and gas pollutants that negatively impact air quality. As part of the solution, Clearview uses the environmental sensors that feed accurate data into our Insight™ platform, this can then be turned into actionable insights, in the form of reports, tables, or graphs.

AQMesh pods measure key pollutants in the surrounding air, using leading small sensor technology and proprietary data processing based on extensive global comparisons with reference data. Subsequently, the device combines a robust hardware platform that operates with wireless power and communicates using the contemporary LTE communications standard, including NB-IoT support, cloud-based data processing, and secure online access

Features

  • Measurement of the key air quality parameters such as NO, NO2, NOx, O3, CO, SO2, H2S, TVOC, CO2, PM1, PM2.5, PM4, and PM10.
  • Support for up to 6 different gas sensors in a single device.
  • The device can easily support additional sensors such as pod temperature, pressure, humidity, noise, wind speed, and wind direction.
  • Can be powered using mains or solar
  • IP65 protected for dust and liquid
  • Operational temperature range: – 20 to + 40 °C
  • Operational humidity range: 15 to 95 % RH
  • Device supports Worldwide coverage 4G/5G, LTE Cat M1/NBIOT with 2G fallback

Benefits

  • Multi-sensor mini air quality monitoring station.
  • Data secure and easily accessible through our Insight platform.
  • Cost effective solution compared to basic reference systems.
  • Innovative device used to increase air quality resolution citywide and provide air quality monitoring to identify hotspots and trends.
  • Superior gas measurement accuracy, compared to basic small sensor devices in the market.
  • Sustainable operation using solar power to reduce costs and support climate change objectives
  • Simplified design reducing learning curve and complexity of integration.