Intelligent Storage Research Articles

Application Status and Development Trend of Intelligent Storage Based on Digital Twin Technology

In recent years, with the economic development and scientific and technological progress, industrial automation technology in the production process is more and more widely used, especially the development of computer technology makes it become an important part of industrial production automation. In this context, the concept of "intelligent warehousing" has also been put forward. Intelligent warehousing is a process that integrates all kinds of intelligent equipment into the logistics system by using modern information and communication technology, to realize supply chain management and improve the efficiency of the logistics system. It mainly includes logistics system software, network equipment, sensors, control software, and intelligent hardware.

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.

Based on Internet + Warehousing Logistics Management Exploration

The deep integration of the Internet and warehousing logistics not only promotes the transformation and upgrading of the industry, but also brings the innovation of management mode and service concept for enterprises. This paper analyzes the development status of ware-housing logistics industry, analyzes the problems faced by warehousing logistics management in the Internet environment, and puts forward a series of optimization countermeasures and suggestions. Through the introduction of cloud computing, big data, Internet of Things and other advanced technologies, the establishment of intelligent storage management system, optimize the business process, improve the service level, promote warehousing and logistics enterprises to achieve cost reduction and efficiency, and enhance the core competitiveness. At the same time, it is also necessary to improve industry standards and norms, strengthen the construction of talent teams, build an Internet + warehousing and logistics ecosystem, and help build a strong logistics country.

Design of three-dimensional integrated microsystems for intelligent space storage

Abstract To meet the domestic intelligent storage demands for space exploration and satellite missions, this paper explores the indigenous development of intelligent storage through research on process technology, thermal simulation technology, and testing techniques for three-dimensional integrated microsystems for space intelligence storage. The study achieves high-density functional integration of domestically produced space intelligent storage three-dimensional integrated microsystems. The intelligent storage module, with microsystem technology at its core, provides a more efficient application space for miniaturization, lightweight design, high-density integration, and high reliability.

The development and dissemination of intelligent storage management software of Chinese excellent traditional culture based on blockchain in the era of financial media

With the advent of the era of media convergence, the storage management and inheritance of excellent traditional Chinese culture will usher in new opportunities, creating new opportunities for tapping the contemporary value of traditional culture. This work aims to explore the current protection and innovation of excellent traditional Chinese culture. It takes the digital storage and communication of intangible cultural heritage as an example to summarize the status quo of its storage management and communication, leading to the necessity of intelligent storage of excellent traditional culture. Meanwhile, in terms of intelligent storage management and communication, the application innovation of media convergence combined with blockchain technology has entered the public's vision. To better realize the intelligent storage and communication of excellent traditional Chinese culture, this work mainly studies how to operate the clever integration mechanism of media convergence and blockchain technology and summarizes the advantages of the two. The software development and design of the traditional culture storage system platform are carried out, and the platform's structural characteristics and development process are clarified. Finally, the mechanism is applied to the intelligent storage management and communication of traditional culture to test the time consumption of its network storage and information query. The results show that the test network has a good overall performance, short time consumption and stable operation when the storage network access is not blocked. This work can provide a more diversified information storage management and communication scheme, and provide a theoretical and practical basis for the intelligent storage management and communication of excellent traditional Chinese culture.

High‐resolution reservoir prediction method based on data‐driven and model‐based approaches

AbstractThe Jiyang depression in the southeastern part of the Bohai Bay Basin has a relatively large scale set of shale oil in the Paleogene Shahejie Formation, but the complex internal components lead to narrow frequency bands, low resolution and difficulty in reservoir information extraction. Impedance is important information for reservoir characterization, and how to predict high‐resolution impedance using available information is particularly important. Deep learning, known for its effectiveness in addressing non‐linear problems, has found extensive applications in various fields of oil and gas exploration. However, the challenges of overfitting and poor generalization persist due to the limited availability of training datasets. Besides, existing methods often use networks to solve a single problem in fact, deep learning can deal with a series of problems intelligently. In order to partially solve the above problems, an intelligent storage prediction network framework is proposed in this paper. Physical information is introduced to realize data‐driven and model‐based approaches, thus solving the problem of difficult construction of training datasets. The processing part accomplishes the high‐resolution processing of seismic records, thus solving the problems of narrow bandwidth and low resolution. Initial model constraints are introduced so as to obtain more stable inversion results. Finally, the well data is compared and analysed to identify and predict the lithology and complete the intelligent prediction of unconventional reservoirs. The results are compared with the traditional model‐driven inversion method, revealing that the approach presented in this paper exhibits higher resolution in predicting dolomite. This contributes to the establishment of a robust data foundation for reservoir evaluation.

Design Study on Intelligent Storage and Dispensing System for Ship Outfitting Parts

Design Study on Intelligent Storage and Dispensing System for Ship Outfitting Parts

Analysis of Profit Points for XiaoTie Shared Intelligent Storage Cabinets

The emergence of lockers has provided convenience for the public, but the rapid development of the Internet has greatly improved the quality of life of the masses, and people are no longer satisfied with the services provided by ordinary lockers. With the rapid development of logistics and express delivery, shared lockers have also come into being, and among many shared locker brands, XiaoTie smart lockers stand out. Although XiaoTie smart lockers are more convenient than ordinary lockers, there are still problems such as a small number of storage cabinets, imperfect storage services, high charges due to the high cost of express lockers, insufficient security and high competitive pressure. In order to enhance the competitiveness of the XiaoTie brand, strengthen the professional ability of XiaoTie smart lockers, and ultimately aim to improve the revenue and market share of XiaoTie smart lockers, this paper puts forward targeted suggestions such as broadening financing channels, developing business models, and cultivating professional talents.

Research on glass intelligent storage control system

Research on glass intelligent storage control system

Intelligent Warehouse Control System Based on PLC and Human-computer Interaction Interactive Control

The intelligent warehousing control system is a system based on PLC (Programmable Logic Controller) and human-computer interaction (HCI), aiming to improve the efficiency and accuracy of warehousing operations. The system controls the operation and monitoring of storage equipment through PLC, and interacts with operators through human-computer. The system design includes equipment selection, PLC control system design, and human-computer design. In equipment selection, it is necessary to select equipment suitable for automation control to ensure that the system can meet the needs of warehousing operations. This paper introduces a programmable controller design method, that is, using soft and hard to achieve automatic control of memory. The hardware part is mainly composed of PLC, sensor, actuator and so on, which controls the operation of memory and monitors the relevant parameters. In the aspect of software, the related control program is designed by PLC programming language. The test results show that in the traditional warehouse system, the processing time of each commodity is more than 169 seconds; the utilization rate of warehouse is less than 70%, and the logistics operation time of the enterprise using PLC and HCI for intelligent storage control can be reduced to 57 seconds; on this basis, the data processing time of the system is reduced to 43 seconds, and the utilization rate of the warehouse is 93%. Therefore, this paper presents an intelligent warehouse control system based on PLC and man-machine interaction. The system can not only effectively improve the efficiency and accuracy of warehouse operation, but also enhance the safety and reliability of warehouse operation. It provides a reliable and flexible solution for automatic control and monitoring of warehouse.

Retracted: Intelligent Storage Data Classification System Based on the BP Neural Network

Retracted: Intelligent Storage Data Classification System Based on the BP Neural Network

Storage Optimization (r, Q) Strategy under Condition-Based Maintenance of Key Equipment of Coal-Fired Power Units in Carbon Neutrality Era

For the safe, stable, and economic operation of thermal power units in new power systems, the condition-based maintenance mode and storage strategy of key equipment and materials for power generation enterprises were selected. According to the storage linkage demand of condition-based maintenance, a Weibull probability density function was used to calculate spare parts demand, and an intelligent storage optimization model with an availability constraint was established. The application cases of spare parts cost and availability of high-value key equipment and low-value key equipment of coal-fired thermal power units were analyzed, respectively, and the influence of different life spans and the number of covered units on the model were expounded. The results show that the cost of spare parts borne by a single unit is greatly reduced via the optimization of an intelligent inventory (r, Q) strategy on the premise that the availability of units is not less than 99.5%.

Azobenzene Functionalized Organic Covalent Frameworks: Controlled Morphologies and Photo‐Regulated Adsorption

AbstractCovalent organic frameworks (COFs) containing azobenzene building blocks carry great potential for use in intelligent storage, separation, chemical sensing, and catalysis due to their intriguing photo‐responsiveness. However, azobenzene units are often exploited as the linkers to form the framework of COFs, thereby restricting their molecular motion and photoisomerization. Herein, a simple yet robust template‐free solvothermal strategy is reported to yield azobenzene‐dangled COFs (Azo‐COFs) with their azobenzene moieties suspending within the pores. The crystallinity, specific surface area, and morphology of Azo‐COFs can be conveniently tailored by changing the ratio of amine to aldehyde monomers. Notably, the Azo‐COFs provide sufficient free space for the reversible trans‐to‐cis isomerization of the dangled azobenzene units inside the pores, thus reversibly regulating surface wettability of Azo‐COFs. The adsorption capacity of Azo‐COFs toward organic dye molecules is increased by 3.7‐fold when irradiated with ultraviolet light, which can be ascribed to the intelligent closing/opening of molecular gates rendered by photoisomerization of azobenzene moieties. As such, the ability to photoregulate the adsorption of Azo‐COFs highlights their significance in functioning as smart porous nanomaterials for applications in cargo release, molecular sieves, ion transport, energy conversion systems, and environmental remediation.

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.

Design of Intelligent Storage Management System for Crops in Southern Xinjiang Based on Industrial Internet of Things

Aiming at the arid climate and backward crop storage and preservation technology in southern Xinjiang, an intelligent storage management system for crops in southern Xinjiang based on industrial Internet of Things is designed to realize the intelligent storage management of crops in southern Xinjiang and improve its storage and preservation efficiency. The system takes the lower computer PLC as the control core, collects real-time data on the environmental factors affecting crop storage, and the collected information is processed by PLC and transmitted to the touch screen and cloud platform through Ethernet and mobile Internet for centralized supervision. The system gives full play to the advantages of the IoT cloud platform and realizes real-time remote control of crop storage and management by managers through mobile APP, which is convenient, stable and reliable, and intuitive.

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

Classification and recognition method of intelligent storage goods based on visual servo

Classification and recognition method of intelligent storage goods based on visual servo