Taking Real-time Body Temperature of 2160 Hogs

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BACKGROUND

Over the last decade, the demand for livestock agriculture has been rising at a healthy rate due to the steady improvements of living standards. However, livestock farming is a difficult business to maintain because the industry is exposed to the significant threat of infectious diseases and viruses. Serious exposure may lead to mass animal infection, or assigning the entire farm to euthanasia by authorities, resulting in the loss of years of revenue. Therefore, disease control is among the highest priorities of livestock farming. 

To counter infection risks, farmers utilize IoT sensors to detect the first sign of fever in animals and take immediate medical response or early quarantine measures before the infection spreads. An early detection of abnormal body temperatures not only increases the effectiveness of medical treatments but also reduces the contagiousness of the animal by giving farmers more time to prepare for a proper quarantine process.

Project Requirements

Our partner in the hog farming industry applies BLE Temperature Sensor BLE temperature sensor ear tags to all hogs in the facility, and is looking for a network infrastructure to collect all sensor data and monitor all hogs' body temperature in real-time. The requirements are:

  1. Mass device connectivity
  2. The hog raising facility is separated into 18 hog pens, each housing 120 hogs, adding to 2160 hogs in total. The network infrastructure must be able to reliably connect with all 2160 BLE Sensor Tags.

  3. Signal identification
  4. The facility has 2160 IoT devices transmitting signals at the same time within a crowded area. The network infrastructure must be able to receive real-time transmission from all devices, filter and identify unique signals.

  5. Rural area deployment
  6. The hog raising facility is located in a rural area without network infrastructure, communication with the cloud requires a network designed to operate in remote facilities.

  7. A centralized management platform
  8. After gathering the data in real-time, a cloud monitoring and analytical platform is needed to perform remote management.

Solution

The greatest challenge of this project is mass device connectivity while keeping a strong connection. To tackle this challenge, we selected the device GL-S10 for receiving the BLE data packets from the BLE Sensor Tags. The GL-S10 is designed to be a compact, low power consumption and cost effective IoT gateway, supporting BLE protocol and PoE power supply. We installed GL-S10 to receive signals from every two hog pens, each device receiving data from 240 BLE Sensor Tags.

Before the installation, the connection between the BLE Sensor Tags and GL-S10 is pre-configured on its app platform. After making sure all 2160 devices can be remotely accessed via our cloud platform, the devices are shipped and deployed on site.

The BLE Sensor Tags broadcast BLE signals at 300ms to the GL-S10 gateway, GL-S10 devices receives data from 2160 hogs and transmits the data to a single Spitz GL-X750 gateway updated once per second. Spitz GL-X750 is a 4G LTE industrial IoT gateway designed to reliably perform under high stress or hazardous environments. Spitz GL-X750 then transmits all data to the cloud via 4G LTE network for remote monitoring.