IOT News

In today's food industry, continuously rising energy costs have brought enormous pressure to food factories. Taking a large food factory as an example, its production workshops are large in scale and cover multiple complex production links such as baking, cold storage, and filling. There are many types of equipment, including ovens, refrigeration units, and filling machines. In the past, the factory used manual meter reading to record energy consumption data, which was not only inefficient but also made it difficult to guarantee data accuracy. At the same time, due to the lack of real-time monitoring and data analysis methods, the factory could not promptly detect abnormal energy consumption, and energy waste was relatively serious.

To solve these problems, we propose a food factory energy consumption monitoring IoT system solution based on WideIOT industrial gateways. This solution uses advanced IoT technology to achieve real-time collection, transmission, and analysis of energy consumption data in food factories, helping factories achieve refined energy management and reduce energy consumption costs.

System Architecture

Perception layer
The perception layer is responsible for collecting various types of energy consumption data in food factories, including electricity, water, and gas. Smart electricity meters, water meters, gas meters, and other metering devices are installed in each production workshop and on equipment to monitor energy consumption data in real time.

Transmission layer
The gateway has multiple serial ports and can collect data from multiple meters. It can transmit energy consumption data stably and efficiently to cloud platforms or local servers through communication methods such as 4G, 5G, WiFi, or Ethernet.

Application layer
The energy consumption monitoring platform provides an intuitive user interface and displays the food factory's energy consumption data in real time, including the energy consumption of each workshop and equipment, as well as trend analysis of energy consumption, providing energy consumption optimization suggestions for the factory and achieving energy saving and efficiency improvement.

Implemented Functions

Real-time energy consumption monitoring
It can collect and display energy consumption data from each link of the food factory in real time, form visual data reports or curve charts, and provide remote access channels on mobile phones and computers, allowing management personnel to understand energy consumption conditions anytime and anywhere.

Energy consumption data analysis
Conduct in-depth analysis of historical energy consumption data to uncover patterns and potential problems in energy consumption. For example, by analyzing energy consumption data in different time periods, identify peak energy consumption periods, reasonably adjust production plans, and reduce energy costs.

Abnormal alarms
Set energy consumption thresholds. When energy consumption exceeds the set range, the system automatically sends alarm information and notifies relevant personnel to handle it in a timely manner. Alarm methods include SMS, email, WeChat, etc., ensuring that management personnel can grasp abnormal energy consumption conditions as soon as possible.

Energy-saving optimization suggestions
Based on the results of energy consumption data analysis and integrating information such as energy consumption costs, equipment performance, and energy-saving indicators, it can provide personalized energy-saving optimization suggestions for food factories and achieve equipment upgrading and energy-saving optimization.