Intelligent Storage System Research Articles

Application of energy sustainability model based on optical sensing technology in intelligent warehousing performance management in green manufacturing industry

As the global focus on sustainable development continues to grow, green manufacturing, as a way to optimize resource use and reduce environmental impact, needs to be combined with advanced technologies to improve its efficiency. This study aims to explore the application of energy sustainability model based on optical sensing technology in smart storage of green manufacturing industry, evaluate its impact on storage performance management, and further promote the development of green manufacturing industry. In this paper, an optical sensing system is constructed to monitor and analyze the energy consumption in storage environment in real time. In this study, a green manufacturing enterprise was selected as an example, and the optical sensor was used to monitor energy consumption, inventory status and environmental parameters in real time to ensure the real-time and accuracy of data. The collected data is analyzed to identify patterns and anomalies in energy use to optimize inventory management and logistics scheduling. Evaluate the energy efficiency of storage systems by setting energy efficiency indicators and compare them with traditional models to quantify improvements. On the basis of monitoring and analysis, the energy management strategy is continuously adjusted to enhance the adaptability and flexibility of the intelligent storage system. The research results show that the application of optical sensing technology can significantly improve the energy management performance in warehousing, through real-time monitoring and intelligent optimization, enterprises can achieve more efficient energy use, further promote the implementation of green manufacturing, and provide strong support for the realization of environmental and economic benefits.

Design of Intelligent Storage System Based on Internet of Things

With the development of science and technology and network information, people's awareness of improving the quality of life is gradually increasing, among which, the requirements for storage systems are also increasing. For the storage system, in addition to ensuring its most basic security, it is also necessary to provide a more intelligent system so that people can manage the system more easily and clearly to achieve the purpose of saving human, material and other resources. Therefore, the intelligent storage system based on the Internet of Things adds an intelligent environment detection system and RFID electronic tag to the original storage system to achieve the purpose of real-time detection of environmental parameters and inventory information, making all data in the warehouse clear at a glance, more convenient and fast.

Toward Safe and Efficient Human–Swarm Collaboration: A Hierarchical Multi-Agent Pickup and Delivery Framework

Multi-agent pickup and delivery (MAPD) is crucial in intelligent storage systems (ISSs), where multiple automated guided vehicles (AGVs) are assigned to various and potentially uncertain dynamic tasks. In this work, we consider a humanswarm hybrid system consisting of human workers and a swarm of AGVs collaborating to accomplish MAPD tasks. A humanswarm hybrid system pickup and delivery ((HS)2PD) framework based on the receding-horizon prediction window is proposed, which facilities the development of future ISSs. This (HS)2PD framework is essentially a two-layer hierarchical decision procedure, which takes the uncertainties of human behavior and the dynamic changes of tasks into account. The first layer is a two-level programming model handling the problems of mode assignment and task allocation. The second layer calculates each vehicles exact path by solving mixed-integer programmings. An integrated high-efficient algorithm for the (HS)2PD problem is also proposed. The practicality and validity of the above algorithm are demonstrated via several groups of numerical simulations of (HS)2PD tasks.

Spatial Perception of Tagged Cargo Using Fused RFID and CV Data in Intelligent Storage

Radio-frequency identification (RFID) and computer vision (CV) technology are widely employed in intelligent storage systems for sensing, locating, identifying, and monitoring storage cargo. However, both of them have applicability scenarios and limitations. In this article, we propose a system for spatial perception of storage cargo based on the fusion of RFID and CV data. Specifically, we employ a mobile robot carrying an RFID reader and an RGB camera to move between shelves. The reader is connected to two vertically deployed antennas that receive phase values from the tags on the cargo to perform phase unwrapping. Then, we construct a linear system of equations to solve synthetic aperture radar (SAR)-based 3-D localization to obtain the location of the target tag efficiently and accurately. For the images of the shelves captured by the RGB camera, we use image localization techniques based on color and texture features to obtain the pixel coordinates of the cargo in the image. Since the sampling range of the RFID reader antenna is larger than the shooting range of the RGB camera, we use the coherent point drift (CPD) algorithm with threshold judgment to match the localization results of the two subsystems, enabling us to display the inherent information of the target cargo on the plane rendering. Our proposed system is evaluated through various experiments, and the results show that our localization algorithm achieves high accuracy in 3-D space, and the matching algorithm has high robustness to the number of cargo and missing cargo or tags.

Multiple factors collaborative optimisation of intelligent storage system

Multiple factors collaborative optimisation of intelligent storage system

Multiple factors collaborative optimisation of intelligent storage system

Multiple factors collaborative optimisation of intelligent storage system

Research on AGV positioning method combined with IMU and UWB

Aiming at the problem that automated guided vehicle (AGV) is difficult to locate accurately due to the influence of environment and time drift when it works in the indoor intelligent storage system. In this paper, an extended kalman filtering (EKF) framework is designed. In order to make full use of the original ranging values of ultra wideband (UWB) and inertial measurement unit (IMU), the framework realizes the fusion positioning between UWB module and IMU module in a tight coupling manner, so as to ensure that the system can still work when the available base station signal is inaccurate. Firstly, for the problem that the traditional UWB positioning method is easily affected by the non-line of sight (NLOS) error indoors, the calculated positioning coordinate value is unstable. With the help of different NLOS probability distribution curves of different obstacles, the weighted least square method is applied to the UWB positioning method to determine the positioning coordinate value of UWB, which improves the sudden change of AGV positioning coordinate in the static environment. Then the data fusion algorithm is optimized, and the error value of IMU and UWB coordinate is taken as the observation value of EKF, which reduces the influence of cumulative error on IMU positioning results, provides the global optimal estimation of the system optimal state, and improves the fusion positioning accuracy. Finally, the measured data of UWB and IMU systems in indoor complex environment are simulated in MATLAB. The experimental results show that when NLOS signal seriously affects the positioning effect, the UWB and IMU combined positioning system can provide more reliable positioning results than the single IMU positioning system. It improves the positioning accuracy of AGV and provides a new idea for indoor positioning mode.

Research on intelligent storage system for DC control and protection system card based on FERET and RFID

In view of the current state grid company’s board card spare parts are in a state of extensive management, no hierarchical and classified management, and problems such as affecting the performance indicators and circulation of the DC control and protection system boards. In this paper, a special intelligent storage system for DC control and protection system based on face recognition technology (FERET) and radio frequency identification technology (RFID) is studied. Firstly, analyzing the technical principle of the intelligent storage system. Secondly, the warehouse in/out management module based on FERET and the automatic card warehouse in/out module based on RFID are designed. Then, the structural framework and workflow of the intelligent warehousing system are established. Finally, a special intelligent storage system for DC control and protection system card is designed, which has the characteristics of leading technology, stable performance, reliable quality, simplicity, and practicality.

Research on Optimization Strategy of Stacker Scheduling in Intelligent Storage System Based on Intelligent Improved Algorithm

<p>With the vigorous development of e-commerce, higher requirements are put forward for the storage capacity and operation efficiency of the warehousing system to ensure the performance of the entire supply chain in the business process. The factors that affect the operation efficiency and storage capacity of the warehousing system mainly include: storage space planning, shelf design, goods access strategy, stacker scheduling strategy, goods picking efficiency, etc. The main research object of this paper is the optimization of the scheduling strategy of the stacker in the storage system, which can solve the problem of the storage space detention caused by the irregular storage and the empty running time in the scheduling process of the stacker, so as to improve the operating efficiency of the storage system. </p> <p> </p>

Construction of a Ceramic Appearance Design System Based on Technology for Internet of Things.

The planning and design of intelligent storage systems in ceramic parks based on the industrial Internet of Things technology are proposed. Based on the analysis of the storage demand of ceramic parks, information transformation is carried out according to the original manual operation mode. The RFID technology is applied to the overall planning of the warehouse area and the deployment of the software; it is applied to the overall planning of the RFID system, the hardware deployment of the two-dimensional warehouse system, and the integration of the RFID technology and the software deployment of the two-dimensional warehouse system. It realizes the close cooperation between the information system and hardware equipment, optimizes the system process, and improves the level of warehouse management.In addition, smart terminal ceramics refer to those with fine ceramic appearances or functionalities in smart terminal products, such as smartphones, smart watches, and other wearable devices, in the field of consumer electronics, including ceramic back plates, middle frames, buttons, fingerprint recognition sheets on mobile phones and ceramic cases, bracelets, and back covers on smart watches. Aside the excellent performance and aesthetic properties of ceramic materials, they can also be adapted to the trends in 5G and wireless communication technology. From the perspective of high strength, high toughness, and colorful nano-zirconia ceramics, this article was aimed to review the development process and industrialization application process.

Design of Intelligent Embedded Data Acquisition and Storage System for Coal Mill Based on DSP

Background: In order to better realize the real-time on-line monitoring of the working state of the coal mill and determine the status of the equipment used in the coal mill, the intelligent embedded system of the coal mill based on DSP was studied. Methods: Firstly, the working requirement of the coal mill and the task of data acquisition system have been briefly introduced, and the requirement of the overall embedded system design has been put forward. Then, the structure design was analysed including both hardware and software, and the embedded system design including digital signal processing, and data acquisition was completed. All patents related to intelligent embedded data acquisition and storage system are described in detail. Results: After that, the function test of the actual coal mill embedded system was carried out, which proved the practicability and reliability of the designed embedded system for coal mill and based on DSP. Conclusion: The embedded system improves the automation level of coal mill, and is of great significance to the on-line monitoring and research of large-scale machinery and equipment in the future.

Research on Multi-robot Scheduling Algorithm in Intelligent Storage System

As an indispensable core part of modern industrial system, intelligent storage system is developing from mechanical automation to robot intelligence. Intelligent storage system is widely used with multi robots, which can replace the picker to work efficiently and realize the effective connection of operation links. How to play the cooperative operation ability of multi robot is the key research content in this field. Based on the improved genetic algorithm, this paper designs a multi robot scheduling algorithm in intelligent storage system. The simulation results show that the scheduling efficiency of this method is improved by about 10% compared with the common genetic algorithm, and it has good stability. The multi robot scheduling algorithm in intelligent warehouse system based on improved genetic algorithm has good generalization.

Design and Implementation of Intelligent Storage System for Change Back Meter

Designed and developed a set of intelligent storage system for the change back meter. The storage system supports various types of inbound and outbound tasks in the MDS system and the four-line one-library interface specification, including the transfer of the inbound and outbound warehouses, the returning of the warehouses, the returning of the warehouses, and the returning of the warehouses. “Device outbound interface”. The warehousing system can receive multiple tasks simultaneously by receiving the MDS system, and has a queuing processing mechanism in the case of multi-task concurrency. The system has a complete operation and maintenance log, and automatically records information such as warehouse system inventory maintenance, manual operation, and software upgrade. Fully realize the process of asset management, back office management, and plan management management to achieve comprehensive measurement process management. The realization of process is more conducive to the orderly planning of measurement management, which is conducive to the assessment of work quality, reducing work handover and work errors, and improving work efficiency.

Application and Research of Intelligent Warehousing Based on IoT

The Internet of things (IoT) technology has been applied in many industries because of the basic features of total perception, reliable transmission and intelligent processing. At the same time, it also drives the innovation of the whole logistics industry, and its application field is expanding. At present, most of the domestic warehouse management systems still stay in the human information input, computer storage semi-automation level. There are many shortcomings such as low efficiency of management, large cost of manpower, slow information processing, low accuracy and so on. With the development of embedded equipment and wireless communication technology, the two dimensional code technology, intelligent computing technology, radio frequency technology and wireless sensing technology are applied to warehouse management. The realization of object and object perception, identifiable, networked intelligent management system has become an inevitable trend of development. In this paper, a model of intelligent storage system based on Internet of things is discussed in detail, and it is applied and verified in practical production and work.

Electrically Responsive Materials and Devices Directly Driven by the High Voltage of Triboelectric Nanogenerators

AbstractSmart materials with electrically responsive characteristics and devices relying on different electrostatic effects can be directly driven by triboelectric nanogenerators (TENGs). The open circuit voltage from a TENG can easily reach thousands of volts with a separation distance of a few millimeters and this high output voltage can be used to effectively drive or control some devices with high internal resistance. This kind of combination is the most straightforward way for achieving a self‐powered smart system. Hence, a detailed survey of electrically responsive materials and devices that can be successfully combined with TENG is summarized, including dielectric elastomers, piezoelectric materials, ferroelectric materials, electrostatic manipulators, electrostatic air cleaners, and field emission and mass spectrometers. Moreover, key factors in determining suitable materials or devices to work with TENG are clarified and an in‐depth discussion of the current challenges related to these combined systems is provided. With the cost‐effectiveness and simple manufacturing process, these TENG‐based composite systems have great application prospects in the field of smart mechanics, human–machine interaction systems, intelligent storage systems, self‐powered microfluidic chips, portable mass spectrometers, and so on.

A novel loss-based energy management approach for smart grids using multi-agent systems and intelligent storage systems

The smart grid integrates the use of information and Communication Technologies (ICTs) in order to ensure the interaction between its computational and physical elements. Moreover, it supports bidirectional information flows between the energy users and the utility grid that motivate energy users not simply to consume but also to generate energy and to share it with the utility grid and/or with other consumers. Many researches have addressed the problem of energy management in the smart grid context and have been done in order to offer maximum savings on energy bills as efficiently as possible. However, many algorithms presented in the literature do not exploit storage systems and/or present high energy losses. Taking into consideration energy losses, this research discusses the effects of these losses on consumers’ bill. Hence, we propose an agent-based solution that takes into consideration users’ loss minimization in the smart grid context. The contribution of this paper is twofold. Firstly, it highlights the effects of power loss on the energy cost in an electrical system. Secondly, a novel approach aiming to help the storage system meet consumers’ daily demands will be presented. Simulation results show that our proposal minimizes consumers’ energy costs and losses.

Application of semi-active RFID power meter in automatic verification pipeline and intelligent storage system

In this paper, the semi-active RFID watt-hour meter is applied to automatic test lines and intelligent warehouse management, from the transmission system, test system and auxiliary system, monitoring system, realize the scheduling of watt-hour meter, binding, control and data exchange, and other functions, make its more accurate positioning, high efficiency of management, update the data quickly, all the information at a glance. Effectively improve the quality, efficiency and automation of verification, and realize more efficient data management and warehouse management.

Position and Orientation Detection of Stored Object Using RFID Tags

Radio Frequency Identification (RFID) technology already plays a major role in many areas. One of the applications is for object detection. RFID is used for effective object's identification. A good example is object detection at storage management system. It is applicable to the environment where people easily forget the places of the stored object. In the other hand, the automatic object detection will be useful for disabled people like blind person such that they need information before pick up and store object while doing their daily life activities. As a solution of these problems, this study is proposed in order to assist the disabled people by develop an intelligent storage system which has database to store and inform the position and orientation of object stored using the idea of ‘Intelligent Space’. In this article, the methodology and experiment validation to determine the position and orientation of object storage will be presented. The system consists of object storage, object shelves, RFID reader, and RFID tags. RFID tags are attached to the object storage. Meanwhile, RFID reader is at fixed position and detects tags’ data to obtain the coordinates of stored object. The information represent the coordinate of stored object is located as well as how the object is oriented. The orientation provides useful information to the intelligent storage system which the user may know whether the object is placed in upside down position or otherwise.

Research on Design and Implementation of Intelligent Warehouse Management System in Z Company

This paper aims at the practical problems of warehouse in Z enterprise, constructing the intelligent storage system, through the use of RFID technology, sensor technology, ZigBee technology to improve information transmission efficiency of the system, shortening the system response time. The paper solved the problem which the warehousing activities can’t be real-time controlled in the drawbacks of the product information in the warehouse.

Research of New Type Velocity Modulation System Based on Extra Power of Rural Grid

Rural grid has large waste for its discontinuity in application. Li-ion battery, with feature such as small size, large power density, high single voltage, low self-discharge rate, low inner resistor and so on, has been applied in power storage system. The intelligent power storage system based on li-ion battery and super capacitor can effectively storage the extra power in the period of grid off-peak, and also could absorb the feedback energy when the velocity modulation system is braking, largely increases the use rate of energy storage.