The trend towards smaller food packaging is obvious, and packaging machines still requires technological support.

High-precision measurement technology: Small-package food has higher requirements for measurement accuracy. Packaging machinery needs to be equipped with high-precision metering devices, such as electronic scales and volumetric meters, to ensure that the weight or volume of food in each small package is accurate. For example, in the production of small-package foods such as candies and nuts, the measurement accuracy needs to be controlled within ±0.5 grams, which requires advanced measurement technology and sensors to achieve precise measurement and control.

Quick changeover and adjustment technology: Small-package foods have a wide variety of types and specifications. To improve production efficiency and flexibility, packaging machinery should have the ability to quickly change over and adjust. Through modular design, quick clamping devices, and intelligent control systems, it is possible to switch packaging specifications and forms in a short time, such as converting from bags to boxes, or changing different sizes of packaging bags. The changeover time should be shortened to within 10 minutes to adapt to the production needs of multiple varieties and small batches.

Automation and intelligent technology: Automation and intelligence are the development trends of modern packaging machinery. In the field of small food packaging, it is necessary to further improve the automation level of packaging machinery, realizing the fully automated operation of material conveying, metering, packaging, sealing, and labeling, reducing manual intervention, and improving production efficiency and product quality stability. At the same time, with the help of artificial intelligence and the Internet of Things, the remote monitoring, fault diagnosis, and data analysis functions of the equipment can be realized, helping enterprises optimize production processes and improve equipment utilization. For example, by connecting to the MES system, the packaging machine can automatically read production order information, adjust parameters, and record batch data, realizing intelligent production management.

Hygiene and safety technology: Food safety is crucial. Packaging machinery should use materials that meet food hygiene standards, such as 304 stainless steel and food-grade plastics, and should be designed with a structure that is easy to clean and disinfect, reducing hygiene dead corners and preventing food contamination. In addition, it is necessary to equip complete safety protection devices, such as protective doors, emergency stop buttons, and light curtain sensors, to ensure the safety of operators. For some high-requirement small food packaging, such as aseptic packaging, advanced aseptic packaging technology must also be used to ensure that food is not contaminated by microorganisms during the packaging process.

Energy-saving and environmentally friendly technology: Against the background of increasing environmental awareness, packaging machinery should focus on the application of energy-saving and environmentally friendly technologies. Using high-efficiency motors, energy-saving heating systems, and intelligent control systems to reduce equipment energy consumption. At the same time, optimize the packaging process, reduce the waste of packaging materials, and promote degradable and recyclable packaging materials to meet the requirements of sustainable development. For example, by optimizing the packaging layout algorithm, the utilization rate of packaging materials can be improved, increasing the film material utilization rate by 15%-20%.

Visual inspection and quality control technology: To ensure the quality and appearance of small-package food, packaging machinery needs to be equipped with an advanced visual inspection system that can real-time detect the integrity of the packaging, sealing quality, printing information, product appearance defects, etc., automatically rejecting unqualified products and improving the product qualification rate. For example, a visual inspection system using a 2-megapixel industrial camera and deep learning algorithm can real-time detect the sealing of the bag mouth and the integrity of the printing information, with a defect recognition rate of 99.98%, an improvement of 30% compared to traditional photoelectric sensors.