Monitoring of energy resources using the Internet of Things (IoT) allows you to collect data on energy consumption and resource consumption in real time and analyze them to achieve optimal energy efficiency.
In the context of warehouse and logistics complexes, the following components can be used to create such a monitoring system:
Network selection depends on distance and bandwidth requirements. For local monitoring, you can use Wi-Fi, Zigbee or Ethernet. If you need to transfer data over long distances, you can use 4G, LoRaWAN or NB-IoT wireless networks.
The choice of sensors depends on the type of resources to be monitored. For example, sensors connected to electricity meters or measuring devices can be used to monitor energy. To control the consumption of water or gas, it is possible to install flow sensors that are connected to the appropriate systems or meters.
Data on energy consumption and resource costs are transmitted to a central server or cloud platform for storage and analysis. A local server allows for greater control over data, but requires additional equipment and maintenance costs. The cloud platform provides convenient access to data from anywhere, but requires an Internet connection.
Data analysis algorithms are used to process and interpret the collected indicators. Data analysis and visualization allow to process the collected indicators, detect trends, anomalies and predict future consumption. The results of the analysis can be visualized in the form of graphs or diagrams, simplifying their understanding for users.
Thanks to this data monitoring and analysis system, it is possible to take measures to optimize energy consumption and resource consumption in storage and logistics complexes. This can include automatically managing energy consumption, using more efficient equipment, optimizing device schedules, or providing recommendations to users to reduce costs and improve energy efficiency.
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