Packaging Production Line Research Articles

Efficient Defect Classification Using Few-Shot Image Generation and Self-Attention Fused Convolution Features

Although deep learning has been proven to significantly outperform most traditional methods in the classification of large-scale balanced image datasets, collecting enough samples for defect classification is extremely time-consuming and costly. In this paper, we propose a lightweight defect classification method based on few-shot image generation and self-attention fused convolution features. We constructed a 4-class dataset using welding seam images collected from a solar cell module packaging production line. To address the issue of limited defect samples, especially for classes with less than 10 images, we implemented two strategies. Geometric enhancement techniques were first used to extend the defective images. Secondly, multi-scale feature fusion Generative Adversarial Networks (GANs) were utilized to further enhance the dataset. We then performed the feature-level fusion of convolution neural networks and self-attention networks, achieving a classification accuracy of 98.19%. Our experimental results demonstrate that the proposed model performs well in small sample defect classification tasks. And, it can be effectively applied to product quality inspection tasks in industrial production lines.

The Impact of Serialisation on Operational Efficiency and Productivity in Irish Pharmaceutical Sites

Technology enabling drug serialisation technology was introduced by regulators to enhance security in pharmaceutical supply chain and protect drugs from infiltration by falsified and substandard medicines. The introduction of systems for serialisation required huge financial outlays manufacturers of pharmaceuticals. This study investigated the impact of serialisation on the operational efficiency and productivity in Irish pharmaceutical sites. A qualitative study was conducted with 11 manufacturing sites in Ireland. The participating companies operated a total of 114 pack-lines, representing approximately 65% of the automated packing lines in the country. The study found that serialisation had a negative effect on packaging production line OEE and line availability and on the individuals cost per unit of packaged pharmaceuticals. The research results estimated that the capital costs of serialisation were four times greater than those estimated by the regulators. There was a 4.1 cents average cost per pack for serialisation with high volume sites reporting an annual cost of serialisation of up to €4.5 m per annum and a 2.7% increase in the average cost of goods sold. A pattern whereby where many pharmaceutical manufacturers are transitioning from smaller batch production and moving toward larger batch production sizes in order to increases efficiencies was identified. The research also proposed the use of a serialisation depreciation factor as a method to determine the impact of serialisation on the cost of goods sold. This is the first study of its kind into the cost of serialisation from a manufacturer’s viewpoint and studying the effects of serialisation on productivity, line availability and operational efficiency.

Deep Learning-Based Oyster Packaging System

With the deepening understanding of the nutritional value of oysters by consumers, oysters as high-quality seafood are gradually entering the market. Raw edible oyster production lines mainly rely on manual sorting and packaging, which hinders the improvement of oyster packaging efficiency and quality, and it is easy to cause secondary oyster pollution and cross-contamination, which results in the waste of oysters. To enhance the production efficiency, technical level, and hygiene safety of the raw aquatic products production line, this study proposes and constructs a deep learning-based oyster packaging system. The system achieves intelligence and automation of the oyster packaging production line by integrating the deep learning algorithm, machine vision technology, and mechanical arm control technology. The oyster visual perception model is established by deep learning object detection techniques to realize fast and real-time detection of oysters. Using a simple online real-time tracking (SORT) algorithm, the grasping position of the oyster can be predicted, which enables dynamic grasping. Utilizing mechanical arm control technology, an automatic oyster packaging production line was designed and constructed to realize the automated grasping and packaging of raw edible oysters, which improves the efficiency and quality of oyster packaging. System tests showed that the absolute error in oyster pose estimation was less than 7 mm, which allowed the mechanical claw to consistently grasp and transport oysters. The static grasping and packing of a single oyster took about 7.8 s, and the success rate of grasping was 94.44%. The success rate of grasping under different transportation speeds was above 68%.

Development of a cloud intelligent machine monitoring and control system

Facing the trend of Industry 4.0, the cloud-based supervisory control and data acquisition (SCADA) system employing cloud computing and IoT technology can help the manufacturing industry reduce software investment and system maintenance costs. However, manufacturers may need to install new sensors and controllers, the connection of SCADA system and shop floor machine controller, monitoring dashboard design and implementation usually need to outsource to an experienced system integration company, which may impede medium-sized manufacturing enterprises (SMEs). This paper aims to develop a cloud-based intelligent machine monitoring and control system (CIM-MCS) framework, the service structure, and approach to deploying the CIM-MCS in a public cloud infrastructure platform and service provider. The package diagram is proposed for building the CIM-MCS’s virtual factory model to improve modeling efficiency and data stability. CIM-MCS and its SCADA application in a leading automatic filling and packaging production line show that the CIM-MCS is easy to implement. The transmission time is short and acceptable for practical application. The integration of CIM-MCS with a cloud-based advanced planning scheduling system has the advantage of real-time monitoring, production progress reporting, scheduling, and dispatching and achieves the goal of anytime, anywhere, anyone, and any platform operating an intelligent factory.

Research of Gantry Frames of Different Materials Based on ANSYS Workbench

According to the production requirements of a packaging production line in a distillery, this article designed a suction tray gantry with a width of 1922mm, a length of 5000mm, and a height of 940mm using Solidworks software. Through ANSYS Workbench, the performance advantages and disadvantages of the gantry made of structural steel and aluminum alloy under the maximum load of 100Kg required by the enterprise are analyzed. Finally, through the comparison of their stress, total deformation, and total weight, it is concluded that the total weight of the gantry made of aluminum alloy material is about 660kg lighter than that of the gantry made of structural rigid material when the difference between the stress and total deformation is not significant, and the cost is cheaper. Therefore, the aluminum alloy material is finally selected to make the gantry.

A Two-Layer Heterogeneous Ant Colony System With Applications in Part-Picking Planning

Abstract The tape carrier packaging machine with multiple sucking discs is designed for modern, high-speed packaging production line, which is an important part of the electronic manufacturing process. The efficiency of the part-picking can directly affect the efficiency of the packaging production line. The problem involves at least three coupled sub-problems: the number of picking rounds, the matching relationship between the parts and sucking discs, and the picking order. Because the actual industrial production requires real-time or soft real-time scheduling, the challenge is how to efficiently solve this multi-dimensional combinatorial optimization problem within a fairly limited time. The existing advanced algorithms such as the genetic algorithm and the simulated annealing algorithm usually require complex and time-consuming encoding and decoding while solving this problem. In contrast, the ant colony algorithm has advantages in the convergence rate and parallel computing, especially for searching high dimensional paths in dynamic environments. In order to further improve the comprehensive performance of the ant colony algorithm in solving multi-dimensional coupled optimization problems in extremely limited time, we propose a novel two-layer heterogeneous ant colony system based on three strategies: (1) a bottom-up two-layer solution framework to decouple the original tightly coupled problem into a loosely coupled problem composed of two sub-problems; (2) a candidate cluster augmentation strategy based on the Delaunay triangulation to improve the diversity and quality of the clusters; (3) a co-evolution between a pair of heterogeneous colonies by mixing the high-quality pheromone properly as well as a co-evolution based on the prior knowledge. Finally, through a large set of comparisons, the average picking efficiency of Two-layer Heterogeneous Ant Colony System improved by the three proposed strategies is 13–16% higher than that of other popular heuristic algorithms.

Retracted] Computational Intelligence and Things Technology‐Based Collection and Design of Inheritance Characteristics of Tea Product Packaging Art Form

In view of the core process data such as temperature and humidity of the tea product packaging process and the automatic control operation parameters of the production line, this paper designs a smart tea product packaging 5G Internet of Things gateway system, which realizes the 5G Internet of Things onsite monitoring and remote monitoring of the tea product packaging production line equipment. The design and implementation of the 5G Internet of Things gateway system are divided into three aspects, namely, 5G Internet of Things gateway configuration design, data communication protocol conversion. First, the 5G Internet of Things gateway configuration is to design the relevant control information of the tea processing production line equipment and complete the configuration storage of the PLC controller; secondly, the data communication protocol conversion is to pass the Modbus/TCP OPC standard to transfer the collected 5G Internet of Things. The sensor data undergoes unified standardized conversion, and then the standardized converted data is sent to the database and server using the MQTT protocol; the data processing of the 5G Internet of Things gateway system is the design of the internal data of the 5G Internet of Things gateway. Finally, the test was carried out and the results were obtained, which proved that the designed 5G Internet of Things gateway system is useable, reliable, has good stability and scalability, and provides an important solution for the construction of smart tea product packaging in the industry. The tea product packaging system based on 5G Internet of Things technology compiles electronic production management files for tea garden production, tea picking, tea processing, tea packaging and other links in accordance with the requirements of the national agricultural product quality and safety related systems and industry standards, and has become the traceability of tea quality The recorded important production management information provides important information support for the traceability of the whole process of tea.

The Application of PLC Control Technology in Electric Automation

Automated production lines have very high requirements for electrical control design. In order to improve the quality of electronic control design and reduce the design time and cost, this article recommends a standard for electronic control design and applies it to the production line. Introduced the overview and rules of the belt conveyor electrical control system, the basic functions and precautions of the belt conveyor, with general guidance, and can provide hints for the implementation of the operation. Study the main applications from the selection of equipment of the belt conveyor control system to the selection of the master port and the slave port, and introduce the connection methods of various applications, and select the best communication method. By using the furnace lining batching packaging production line as an example, the total number of selected input and output modules is 33. All the electrical control modular design methods proposed in this article are applied, so that the time for electrical control design can be greatly shortened, and the electrical control design is like a "Building blocks" are general and very simple.

Application of TRIZ Theory in the Design of Cross Arm Rotating Clamping Mechanism

In order to solve the problem of the stainless steel pipe falling off during the debugging process of the cross arm rotating clamping mechanism, the TRIZ theory is applied to the innovative design of the mechanism. Firstly, the problem description, causal analysis and function analysis are carried out, then the invention principle and separation principle of conflict resolution theory and the standard solution of substance-field analysis model are used to solve the design problem. After feasibility evaluation, the optimization schemes such as changing the clamping direction and increasing the shape of the clamping rubber bulge are obtained. The optimized cross arm rotating clamping mechanism is applied to the stainless steel tube automatic packaging production line, which solves the problem of the stainless steel tube falling off, and provides a reference for the design of similar clamping mechanism.

Optimization Simulation Technology of Cement Packaging System Based On YL-235A Equipment

Cement packaging is an important part of cement production and sales. This research is based on the automatic control of the cement packaging system, using the YL-235A automatic production line equipment to optimization and simulation the automatic control system of the process flow of cement packaging. The simulation study of cement packaging production line of a cement factory was carried out. Achieve the goal of optimizing production control, solving technical problems, improving equipment efficiency and continuously improving production capacity. The application of equipment simulation can greatly shorten the development cycle of the cement packaging control system, find problems in operation, save running cost. In order to solve some technical problems existing in the cement packaging control, an effective approach is provided.

Development of Measuring Equipment of Magnetic Field in BIW Spot-welding Environment

Put forward a robot’s automatic packaging and palletizing production line based on Modbus fieldbus control system, to improve efficiency of logistics and enhance the intelligence and versatility of packaging and palletizing system. The SIEMENS S7-1200 PLC sequence control is used to achieve the operation of material conveying line and packaging-palletizing line in automatic packaging and palletizing production line. Visual intelligence is used to recognize the information about shape, position and number of the workpieces to be packed. Through information exchange between MODBUS fieldbus and PLC, industrial robots, visual intelligent detection and host computer can enhance reliability and applicability of packing and palletizing system. It has been proved that the method improves the automation degree of the packaging and palletizing production line, the allocation of resources and system layout can be optimized, and the debugging cost can be saved.

Milk carton with integrated paper‐based microfluidics for milk quality rapid test

AbstractThis study integrated paper‐based microfluidic device on a milk carton for a rapid milk quality check. The microfluidic device was printed on the outer surface of milk carton using commercial wax printer. The testing process is fully automatic, after apply one drop of milk on the loading point, milk was driven by capillary force in the porous paper fiber in wax‐defined microchannels to reach the preload reactants for chromogenic reaction. The proposed integration method provides a simple, low cost and rapid onsite milk quality check technique for milk consumers, and also have wide potential applications in food industry.Practical applicationsMicrofluidics has been widely used in the chemical and biological field for analysis or synthesis, in this research, the microfluidic devices were integrated on the outer surface of a milk carton for a rapid and low‐cost milk quality test, and the test result could be easily read using mobile phone app. The proposed research is of significant application prospect in food industry for rapid and onsite food quality test using the microfluidic devices integrated on paper packaging. The fabrication method of the microfluidic devices proposed in this research using wax printing is also low cost and nontoxic, and could be easily integrated with the current paper packaging production line.

Economic Calculations of an Investment of a Slicing and Packaging Production Line

We test a Csongrád county meat-packing factory’s new slicing-packing production line’s investment. We value the different tenders from five main viewpoints, these are the following: the NPV (Net Present Value), IRR (Internal Rate of Return), DPB (Dynamic Payback), PI (Profitability Index), PB (Payback Time). During the calculation, we have experienced that both tenders would be viable financially. We recommended the offer of the GEA Group AG.

The design of large packaging production line system based on Embedded Technology

A design of jumbo packaging production line system based on embedded technology, through the STC89C52 microcontroller as the core control chip, rational allocation of the various modules, and the hardware selection and circuit design, system of jumbo packaging production line and the simulation presented in view of the problems in the present jumbo packaging production line of low degree of automation. Through study and design of jumbo packaging line control system, and through the experiment validation were used to collect the test data, verify the theoretical derivation and system design of correctness. Through the analysis of experimental data, test results and theoretical analysis results are consistent, indicating the reliability of the jumbo packaging production line system. At the same time, it is found that the accuracy of the synchronous rotation of the servo motor is compared with that of the fuzzy PID control algorithm and the common control algorithm. Therefore, it is concluded that the fuzzy PID control algorithm in the multi motor synchronous control effect is good, more able to meet the design requirements.

Study of Food Packaging Production Line Shunt-wound Pick and Place Mechanical Arm Track Sliding-mode Control based on Self-adaption Exponential Reaching Law

Study of Food Packaging Production Line Shunt-wound Pick and Place Mechanical Arm Track Sliding-mode Control based on Self-adaption Exponential Reaching Law

The Design and Application of Mechanical Automation Technology in Food Factory Network Management System Based on Fractional Algorithm

With development of mechanical and electronic technology, mechanical automation technology plays an important role in many areas. Because of high demand for food safety, mechanical automation technology in food factory is used widely. But there still is gap with advanced countries, mainly in automation software design. Through designing the automation monitoring system of food packaging production line, general process of automation control software design is introduced. And the results shows current machines are potential to work automatically and efficiently and produce goods with low lost and high quality.

Post-consumer Recycled PET Packaging for Fresh Berries: A Comparative Study between Incorporating an Antifungal Agent Superficially and into the Main Body of the Packaging

This study proposes to incorporate an antifungal agent (potassium sorbate, KS) to post-consumer recycled polyethylene terephthalate (PCRPET), by adding KS to the dip solution through which PCRPET normally passes after extrusion, in order to acquire a non-stick silicone coating, which prevents individual packages from adhering to each other while stacked. This method of imparting antifungal activity to the packaging is far more advantageous than adding KS to the extruder feed because it results in virtually no alterations to the colour and mechanical properties of PCRPET, which is a major issue when KS is added to the extruder feed. The antifungal efficacy of the active packaging was demonstrated against Botrytis cinerea growth by a novel method which mimics the action of the antifungal agent under fruit contact conditions. A reduction by 2 log cycles was observed when the initial concentration of the mould was 105 conidia/mL. The active packaging was effective over a test period lasting 6 months. The packaging microstructure was visualized by scanning electron microscopy (SEM); its thermal properties were characterized using a differential scanning calorimeter (DSC); its optical properties were characterized using CIE Lab colorimetry; and its mechanical properties were characterized by measuring resistance to dynamic compression. The mechanical properties showed no significant difference (P > 0.05) with those of the control (PCRPET without KS), and despite a statistically significant difference (P < 0.05) in the colour parameters (L*, a* and b*), the total colour difference (ΔE*) was found to be too small to be visually noticed. This study achieved the aim of adding antifungal activity to PCRPET packaging with little or no perceptible changes to its mechanical, thermal and optical properties and virtually no changes being made to the standard high-speed packaging production line.

Research on Coating Techniques of Locomotive Spring

This article is based on the analysis of locomotive springs packaging existing situation, combining with spring packaging requirements, giving a spring packaging technology program. The program is by using 0.6mm PE shrink film on the new U type coating machine to achieve reel wrapping package for locomotives inner and outer springs respectively, and then passing the BM-500 thermostatic shrink packaging machine to complete coating process technical solutions .In addition this paper gives a detailed description for the new U type coating machine structure design and working principle to make early program planning for the locomotive springs packaging production line.

A Study of Applying RFID for Heat Block Management in IC Packaging Factory

In the integrated circuit (IC) packaging process, including operations of die sawing, die bonding, wire bonding, molding, plating, marking, trim/form, and inspection. Purposes of packaging include protecting ICs, making ICs easier to handle, and connecting ICs to the circuit outside. The wire bond stations are the bottleneck in the packaging and assemble process where the heat block is the key auxiliary parts in the stations. This research proposes a RFID-enabled Heat Block Management System (RHMS) to accurately control the progress of the IC packaging production line to meet the customer requirements. Our research analyzed all the flows of heat block management operations during before and after introducing RHMS. Hypothesis testing can verify significant difference between two sample sizes. Based on the statistics test of hypothesis, we compared the difference for before and after introducing RHMS. The results show that the RHMS can bring advantage for heat block management in wire bond stations. Moreover, it has clear improvement of saving counting and revising operation time. The contributions of this research are not only a case study but also a direction for applying RFID technology on IC packaging industry.