Journal of Industrial Information Integration最新文献

{"title":"Adaptive threshold in Leaky-Integrated-and-Fire function for audio-based industrial diagnosis","authors":"Zihao Zhang,&nbsp;Yu Zhang,&nbsp;Daniel O’Boy,&nbsp;Miguel Martínez-García","doi":"10.1016/j.jii.2025.100944","DOIUrl":"10.1016/j.jii.2025.100944","url":null,"abstract":"<div><div>Audio-based fault diagnosis identifies machine operating conditions through acoustic signals, enabling targeted maintenance and reducing downtime in smart manufacturing and embodied intelligence. The traditional Leaky-Integrated-and-Fire (LIF) function in neural networks improves fault state classification by removing shared information while preserving category-unique features. However, its threshold, a backpropagation-optimized parameter that governs the information removal pattern, becomes a fixed constant after training. This constant threshold enforces a uniform information removal pattern across all audio samples despite the significant variations in time–frequency characteristics. Motivated by this and inspired by the auditory system’s adaptive modulation, in contrast to the traditional constant threshold, where the threshold remains a constant after training, this paper proposes a learnable Adaptive Threshold, allowing the threshold to dynamically adapt to the input audio even after training. As the threshold adapts to different inputs rather than remaining a fixed constant, more unique information can be preserved to enhance classification accuracy. The results demonstrate that the adaptive threshold outperforms the constant threshold and other state-of-the-art methods, achieving 99.75% on the IDMT Engine dataset and 98.11% on the MIMII Pump dataset. Visualization results confirm that while both the adaptive threshold and constant threshold successfully suppress non-unique background sounds, such as flowing water, the adaptive threshold demonstrates superior performance in preserving unique features, such as the impact sound from a broken pump. This capability contributes to more accurate fault diagnosis, further validating the effectiveness of the proposed method.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100944"},"PeriodicalIF":10.4,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From issues to routes: A cooperative costmap with lifelong learning for Multi-AMR navigation","authors":"Jiyeong Chae ,&nbsp;Sanghoon Lee ,&nbsp;Hyunkyo Seo,&nbsp;Kyung-Joon Park","doi":"10.1016/j.jii.2025.100941","DOIUrl":"10.1016/j.jii.2025.100941","url":null,"abstract":"<div><div>In large-scale industrial environments where multi-AMR (Autonomous Mobile Robot) systems are deployed, the unpredictable occurrence of obstacles can significantly disrupt AMR navigation, hindering task execution. To overcome such disruptions, AMRs must frequently replan their routes in real time, often resulting in suboptimal trajectories. This paper proposes a multi-AMR path planning framework based on a Cooperative Costmap with Lifelong Learning, designed to enable efficient navigation even in environments where obstacle patterns are not known a priori. Inspired by issue-propagation models in social-network theory — which describe how public attention rises and fades over time within a network — the proposed approach models the temporal influence of encountered obstacles, allowing predictive path planning that adapts to changing obstacle patterns. The framework incorporates a lifelong learning mechanism to incrementally refine the influence parameter over time, thus ensuring adaptability in dynamic industrial settings. Simulation experiments demonstrate that the proposed approach increases task throughput by up to 18.0% and reduces average travel time by up to 30.1% compared to the standard ROS 2 navigation stack.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100941"},"PeriodicalIF":10.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blockchain-enabled smart contracts for secure and transparent timber traceability","authors":"Robertas Damaševičius,&nbsp;Rytis Maskeliūnas","doi":"10.1016/j.jii.2025.100934","DOIUrl":"10.1016/j.jii.2025.100934","url":null,"abstract":"<div><div>This study explores the application of blockchain-based smart contracts to improve traceability, transparency, and consumer trust in the timber industry. It focuses on challenges such as illegal logging and supply chain opacity by proposing a blockchain-enabled framework to manage key processes: timber harvest registration, quality assessment and certification, ownership transfer and consumer verification. The research demonstrates how smart contracts can automate and secure these operations, ensuring data integrity and streamlining supply chain interactions. A simulated blockchain environment was used to evaluate system performance. The results showed that the average transaction throughput reached 320 transactions per second, while the energy consumption per transaction decreased from 400 J to 200 J as the volume increased. Gas fees rose linearly with the complexity of the contract, highlighting the importance of operational optimization for efficiency and cost-effectiveness. The novelty of the study lies in its holistic integration of blockchain and smart contracts into timber supply chain workflows. It emphasizes not only technical implementation, but also scalability, energy efficiency, and the need for auditable, privacy-preserving systems. The proposed model offers practical information for improving legality, sustainability and accountability in the global timber trade.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100934"},"PeriodicalIF":10.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comprehensive framework for supplier segmentation, development, and appreciation","authors":"S. Ali Torabi,&nbsp;Keivan Tafakkori,&nbsp;Yousef Norouzinasab","doi":"10.1016/j.jii.2025.100932","DOIUrl":"10.1016/j.jii.2025.100932","url":null,"abstract":"<div><div>The literature on supplier relationship management (SRM) lacks a comprehensive framework to support the underlying interrelations between its components. This paper introduces a novel decision-making framework supported by multi-attribute decision-making and mathematical modeling approaches to address those interrelations and decision problems related to supplier segmentation, development, and appreciation as the three fundamental pillars of SRM. First, the criteria identified for segmenting, developing, and appreciating suppliers are weighted by field experts’ subjective assessment using the best-worst method. Then, two optimization models are proposed for supplier development and appreciation steps under specific objectives and resource constraints to find their optimal allocation pattern. The framework’s applicability is validated through an illustrative case study conducted at a mobile telecommunications company. The findings reveal that segmenting, developing, and appreciating suppliers are closely interrelated and should be implemented sequentially to have a comprehensive portfolio of decisions. Besides, the framework can minimize experts’ subjective evaluations and enhance segmentation, development, and appreciation decisions by enabling suppliers’ information integration and analytics. Derived insights reveal that isolating these processes without considering their interactions within a comprehensive decision framework for companies with many supplies outsourced can lead to higher costs and weak supplier relationships. Potential areas further facilitating the decision-making process are also highlighted and introduced for future research.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100932"},"PeriodicalIF":10.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A real-time perception–motion codesign method for image-based visual servoing in embodied intelligence systems","authors":"Hao Tang ,&nbsp;Yongsheng Li ,&nbsp;Nan Zhou ,&nbsp;Minghao Cheng ,&nbsp;Sulian Tao ,&nbsp;Bo Xu","doi":"10.1016/j.jii.2025.100933","DOIUrl":"10.1016/j.jii.2025.100933","url":null,"abstract":"<div><div>The embodied intelligence system achieves adaptive decision-making through the dynamic coupling between intrinsic perception and environmental interaction, wherein the extent of motion coordination is fundamentally constrained by the closed-loop optimization of multimodal perception and actuator control. To solve this problem, this study reconfigures image-based visual servoing (IBVS) into a perception–motion synergy engine within the framework of embodied intelligence. First, a perception–motion mapping model is constructed, in which Mamdani fuzzy inference is employed to achieve dynamic decoupling and adaptive regulation of multi-axis servo gains, which effectively addresses the issues of motion trajectory redundancy and visual feature visibility degradation in embodied intelligent systems operating in unstructured environments. Furthermore, a continuous velocity observer based on a polynomial decay function (PD-CVO) is designed to ensure smooth transitions in system motion velocity, effectively reducing the risk of dynamic imbalance caused by abrupt velocity changes. Experiments show that this method improves the visual-motor response efficiency of the embodied system by 13.25%, reduces redundant motion in image features by 53.63% compared to other state-of-the art approaches, and robustly maintains the initial continuity of the camera’s spatial velocity. This paradigm of embodiment control based on the dynamic adjustment of servo gain provides a new theoretical framework for realizing the real-time coupling of tool manipulation and environment deformation in flexible manufacturing scenarios.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100933"},"PeriodicalIF":10.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Industrial robot system state simulation and risk utilization test environment design","authors":"Wenqi Jiang,&nbsp;Xiaosheng Liu,&nbsp;Zhongwei Li,&nbsp;Xianji Jin,&nbsp;Wenhao Liu,&nbsp;Qingyang Li","doi":"10.1016/j.jii.2025.100953","DOIUrl":"10.1016/j.jii.2025.100953","url":null,"abstract":"<div><div>Network-connected industrial robot systems (IRS) are increasingly exposed to security risks. However, existing testing environments lack the flexibility, modularity, and generalizability of models required for accurate risk simulation. To address these challenges, this paper proposes the IRS State Simulation and Risk Utilization Test Environment (IRSSRE), a novel framework for cost-effective, scalable, and customizable IRS risk analysis. IRSSRE displays the operational states of IRS through Modelica-based modeling at both the component and system levels, ensuring realistic data interactions and state transitions. It also enhances risk management by modularly designing Risk Trigger Modules that explicitly define potential threats, reducing modeling overheads and facilitating the validation of risk utilization scenarios. The capabilities of IRSSRE are demonstrated by simulating a small-scale IRS and replicating the states of both normal and compromised systems through the analysis of four representative attack types and the comparison of device model state curves. The efficiency and effectiveness of the IRSSRE framework are experimentally evaluated, and a comparative analysis with existing alternatives is performed, further demonstrating IRSSRE’s superior performance with respect to low resource overhead and high scalability. IRSSRE offers significant value through the integration of operational and security attributes, enhanced configurability and validation efficiency enabled by modular risk management, and support for simulation replication and granular state-level threat analysis. These contributions advance the field of IRS security testing and provide a scalable foundation for future research in cyber-physical system security.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100953"},"PeriodicalIF":10.4,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HCDA: A hidden cross-domain authentication protocol for embodied intelligence in smart manufacturing","authors":"Huaiyao Yang ,&nbsp;Xiangwei Meng ,&nbsp;Jiale Liang ,&nbsp;Yanrong Zhang ,&nbsp;Keqin Li","doi":"10.1016/j.jii.2025.100946","DOIUrl":"10.1016/j.jii.2025.100946","url":null,"abstract":"<div><div>In smart manufacturing utilizing embodied intelligent robots, frequent cross-domain data transmissions introduce significant challenges on key management. While existing authentication protocols for cross-domain smart manufacturing offer certain advantages in terms of key storage security, their complex network structures and the necessity for repeated session key updates introduce risks related to master key loss, as well as elevated computation cost and communication overhead. To overcome these challenges, this paper proposes a hidden cross-domain authentication (HCDA) protocol for embodied intelligence in smart manufacturing. The domain servers in intelligent manufacturing, functioning as consensus nodes, collaboratively establish a blockchain consortium to securely record public keys and public authentication parameters. Besides, the HCDA protocol based on encryption migration method to reduce the authentication delay of embodied intelligent robots. Specifically, embodied intelligent robots perform symmetric-key encryption/decryption operations and one-way hash functions for authentication request, while domain servers execute the Elliptic Curve Cryptography (ECC) algorithm to generate session key. The security of HCDA protocol is proved by informal analysis. Finally, the simulation results for computation cost and communication overhead demonstrate that the HCDA protocol exhibits significant performance advantages compared with the related protocols.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100946"},"PeriodicalIF":10.4,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vision language model-enhanced embodied intelligence for digital twin-assisted human-robot collaborative assembly","authors":"Changchun Liu ,&nbsp;Dunbing Tang ,&nbsp;Haihua Zhu ,&nbsp;Zequn Zhang ,&nbsp;Liping Wang ,&nbsp;Yi Zhang","doi":"10.1016/j.jii.2025.100943","DOIUrl":"10.1016/j.jii.2025.100943","url":null,"abstract":"<div><div>Recently, embodied intelligence has emerged as a viable approach to achieving human-like perception, reasoning, decision-making, and execution capacities within human-robot collaborative (HRC) assembly contexts. Due to the lack of generalized enabling technologies and disconnections from physical control systems, embodied intelligence requires repetitive training of various functional models to operate in dynamic HRC scenarios, thereby struggling to adapt effectively to complex and evolving HRC environments. Hence, this study proposes a vision-language model (VLM)-enhanced embodied intelligence framework for digital twin (DT)-assisted human-robot collaborative assembly. Initially, the mapping between embodied agents and physical robots is established to achieve the encapsulation of embodied agents. Building upon the agent-based architecture, a VLM driven by both domain knowledge and real-time scenario data is constructed with sensory capabilities. Based on this, rapid recognition and response to dynamic HRC environments can be realized. Leveraging the strong generalization of VLMs, repetitive training of multiple perception models is circumvented. Furthermore, by utilizing the cognitive learning and intelligent reasoning capabilities of VLMs, an expert knowledge system for assembly processes is developed to provide task-oriented assistance and solution generation. To enhance the adaptability and generalization of complex HRC decision-making, VLMs support reinforcement learning through flexible configuration of HRC assembly state information processing, decision-action generation and guidance, and reward function design. In addition, a DT model of the HRC scenario is constructed to provide a simulation and deduction engine (i.e., embodied brain) for mitigating collision accidents. The decision results are then fed into the VLM as invocation parameters for corresponding sub-function code modules, generating complete collaborative robot action code to form the embodied neuron. Finally, compared with traditional decision methods (e.g., MA-A2C, DQN and GA) and VLM-enhanced MA-A2C, a series of comparative experiments conducted in a real-world HRC assembly scenario demonstrate that the proposed framework exhibits competitive advantages.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100943"},"PeriodicalIF":10.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145007638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The next-generation digital twin: from advanced sensing towards artificial intelligence-assisted physical-virtual system","authors":"Jianxiong Zhu ,&nbsp;Yaxin Yang ,&nbsp;Mingxuan Xi ,&nbsp;Shanling Ji ,&nbsp;Luyu Jia ,&nbsp;Tao Hu","doi":"10.1016/j.jii.2025.100942","DOIUrl":"10.1016/j.jii.2025.100942","url":null,"abstract":"<div><div>Due to the emerging technologies of the metaverse and the growth of the Internet of Things(IoTs), digital twin has became compelling research topics along with the field of industrial automation, robotics, etc. To understand the advancement of digital twin relating elements, three issues need to be mentioned. The first technology is the advanced sensing component mainly aiming to objects status identification, functional electronic materials to break detection limitation, and data-enhancement by virtual sensors. Among them, sensing with the ability of self-powered, high-sensitivity, and soft electronic dramatically facilitates digital twin in high-accuracy and fast response. Secondly, the physical-virtual model towards intelligent system in digital twin is summerized to utilize simulating real prototype and virtual reality, especially physical-virtual prototype, subsystems, and artificial intelligent-enhanced digital twin system. Finally, owing to the machine learning and artificial intelligence, the next-generation digital twin system with advnaced sensing, physical-virtual system, and artificial intelligent-enhanced in various applications in one system would be the future trend. This review not only systemly reports digital twin from sensing component, the fundamental theory to the physical-virtual prototype, and artificial intelligence-enhanced technologies, it also presnets the future trajectory of the next-generation of digital twin as well as the challenges for various potential applications.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100942"},"PeriodicalIF":10.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145007635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning knowledge driven investigation for immunity infused fractional industrial virus transmission in SCADA systems","authors":"Kiran Asma ,&nbsp;Muhammad Asif Zahoor Raja ,&nbsp;Chuan-Yu Chang ,&nbsp;Muhammad Junaid Ali Asif Raja ,&nbsp;Chi-Min Shu ,&nbsp;Muhammad Shoaib","doi":"10.1016/j.jii.2025.100940","DOIUrl":"10.1016/j.jii.2025.100940","url":null,"abstract":"<div><div>Supervisory control and data acquisition (SCADA) environment is a highly sensitive and crucial industrial control system primarily deployed to monitor, control and automate the critically integrated and interconnected complex networks. Due to revolution in communication technology, SCADA systems encounter escalating cybersecurity threats and mandate proactive safeguard mechanisms to prevent cyberattack surfaces that may interrupt critical core services, maleficent equipment, and even threaten the social security in certain circumstances. This work aims to enhance the standard nonlinear industrial virus transmission (NIVT) model with immunity for SCADA systems by incorporating fractional‐order processing and then leveraging machine learning through nonlinear multilayer autoregressive exogenous (NM-ARX) neural networks iteratively trained with Bayesian regularization (BR)—the NM-ARX-BR methodology. The Caputo fractional differentiation operator inspired fractional implicit Adams–Moulton and explicit Adams–Bashforth multistep solvers are used to generate reference simulation dataset for NM-ARX-BR neuroarchitecture in case of fractional kinetic of immunity-based NIVT model with five dynamic states susceptible nodes <em>S</em>, enhanced-susceptible nodes <em>E</em>, latent nodes <em>L</em>, breakout nodes <em>B,</em> and recovered nodes <em>R</em> in the SCADA environment. The rigorous simulation based comprehensive comparative evaluation revealed that the low value of fitness on mean square error (MSE) in the range of 10⁻¹⁴ to 10⁻¹⁶ is achieved by NM-ARX-BR neurocomputational framework for sundry case studies of immunity-based NIVT system and performance is further validated by proximity analysis, cross correlation and autocorrelation analysis, histogram frequency distribution and regression statistics. The presented NM-ARX-BR framework depicts the resilience, accuracy, and consistency in modelling the fractional kinetics of immunity-based nonlinear industrial virus transmission in the SCADA systems by executing single and multiple step-ahead prediction measures during the exhaustive numerical simulations with error ranges of 10⁻¹³ to 10⁻¹⁶. The performance assessment is carried out utilizing three standard error metrics MSE, mean absolute error (MAE), root mean square error (RMSE) and phase space error (PSE). The error values of MSE, MAE, PSE and RMSE are remarkably low 10⁻⁰⁷ to 10⁻⁰⁹, demonstrate the robustness, generalization capability and high fidelity of NM-ARX-BR technique.</div></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"48 ","pages":"Article 100940"},"PeriodicalIF":10.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}