D&L SAFEPHARM LTD

Product

Integration of compact sensor, controller unit, and mobile application.

Who needs D&L SAFEPHARM platform?

  • Pharmaceutical companies producing biologics, vaccines, and other cold chain-dependent drugs.
  • Retail pharmacies like Shoppers Drug Mart and Rexall, which handle cold chain drugs.
  • Hospitals and healthcare providers requiring compliance and real-time monitoring for drug storage.
  • Government bodies for large-scale vaccine distribution.

DLSP-01 Product Specification

Sensors

  • Temperature Range: -30°C to 70°C | Accuracy: ±0.5°C.
  • Humidity Range: 0% to 100% RH | Accuracy: ±2% RH.
  • Light Range: 0 to 100,000 lux | Accuracy: ±5%.
  • Vibration Sensitivity: 0.1 g to 16 g (3-axis accelerometer).
  • Battery life 1-3 months (low-energy operation).

Controller Unit

  • Wireless Interface: LoRa for sensor communication (range up to 10 km).
  • Server Communication: GPRS with integrated GPS for location tracking.
  • Input Power: 12V/1A.

Application

  • Ideal for pharmaceutical package-level monitoring, compliant with GDP and FDA standards.

How our smart cold chain monitoring platform works

Pharmaceutical Package (at warehouse or in transit)

IoT sensors (temperature, humidity, and GPS) are attached to the packaging. Sensors collect real-time data on temperature, humidity, and location of the package.

Sensor Communication to Edge Gateway

Sensors continuously transmit data to the Edge Gateway using short-range wireless protocols (e.g., Bluetooth, RFID, Zigbee, or LoRa). The Edge Gateway performs initial filtering and local processing (e.g., threshold checking for temperature deviations).

Edge Gateway to Cloud Communication

Processed data from the Edge Gateway is transmitted to the Cloud in real-time through a cellular network (4G/5G) or satellite connection, depending on location. Data may also be transmitted periodically to save bandwidth or energy, with emergency transmissions occurring when thresholds are breached.

Cloud Processing and Analytics

Once the data reaches the Cloud, it is stored in a secure database. Machine learning algorithms analyze incoming data to detect anomalies or predict potential issues (e.g., risk of temperature excursions in certain regions or weather conditions). If an issue is detected, the system generates alerts for immediate action.

User Interface: Dashboard and Mobile App

Users (supply chain managers, distributors, etc.) can monitor the status of all shipments in real-time via a web-based dashboard. Mobile apps provide instant notifications and alerts for issues like temperature deviations, shipment delays, or route problems.

Actionable Alerts and Notifications

Alerts are sent to the mobile app and email in case of a temperature breach, allowing stakeholders to take corrective action (e.g., adjusting the route, changing the storage environment).