In complex discrete manufacturing environment, there used to be a poor network and an isolated information island in production line, which led to slow information feedback and low utilization ratio, hindering the construction of enterprise intelligence. To solve these problems, uncertain factors in the production process and demands of sensor network were analyzed; hierarchical topology design method and the deployment strategy of the complexity industrial internet of things were proposed; and a big data analysis model and a system security protection system based on the network were established. The weight of each evaluation index was calculated using analytic hierarchy process, which established the intelligentized evaluation system and model. An actual production scene was also selected to validate the feasibility of the method. A diesel engine production workshop and the enterprise MES were used as an example to establish a network topology. The intelligence level based on both subjective and objective factors were evaluated and analyzed considering both quantitative and qualitative aspects. Analysis results show that the network topology design method and the intelligentize evaluation system were feasible, could improve the intelligence level effectively, and the network framework was expansible.
Under the background of new power system, the flexibility transformation of coal-fired power plants and the lowcarbon transformation of coal-fired power plants have brought about problems such as the decline of unit economy, the drastic change of load, and the difficulty in applying for unit characteristic test conditions. This paper proposes a method of unit sliding pressure curve optimization based on data mining. The specific steps are as follows: first, collect historical data and delete historical data processing. Then, the fuzzy clustering algorithm is used to preliminarily divide the data with the ambient temperature as the clustering center. Afterward, for each temperature interval data, the maximum boiler efficiency and the minimum coal consumption of the unit are taken as the optimization objectives to optimize and simplify. Finally, the sliding pressure curve model corresponding to each temperature interval is obtained. After calculation, the method has the characteristics of simple operation, good real-time and stable operation, and has certain reference significance.
Task-oriented grasping (TOG) is crucial for robots to accomplish manipulation tasks, requiring the determination of TOG positions and directions. Existing methods either rely on costly manual TOG annotations or only extract coarse grasping positions or regions from human demonstrations, limiting their practicality in real-world applications. To address these limitations, we introduce RTAGrasp, a Retrieval, Transfer, and Alignment framework inspired by human grasping strategies. Specifically, our approach first effortlessly constructs a robot memory from human grasping demonstration videos, extracting both TOG position and direction constraints. Then, given a task instruction and a visual observation of the target object, RTAGrasp retrieves the most similar human grasping experience from its memory and leverages semantic matching capabilities of vision foundation models to transfer the TOG constraints to the target object in a training-free manner. Finally, RTAGrasp aligns the transferred TOG constraints with the robot's action for execution. Evaluations on the public TOG benchmark, TaskGrasp dataset, show the competitive performance of RTAGrasp on both seen and unseen object categories compared to existing baseline methods. Real-world experiments further validate its effectiveness on a robotic arm. Our code, appendix, and video are available at \url{https://sites.google.com/view/rtagrasp/home}.
Sortition is one fairness-preserving decision-making method, whereby each of the involved legitimate users can obtain a completely random but mutually different message. Here, using the fantastic high-dimension multi-particle singlet states as the random lot pool, we propose the first authenticated quantum sortition protocol in theory with some desirable properties of privacy, fairness, and uniqueness, which shows particular function glamour over to the classical sortitions. The proposed protocol also can expand to solve some related problems, defined as "picking at random". Any effective attacks from an outside eavesdropper, semi-honest designated authority, and inside malicious user will be detected by honest participants, and thus guarantee the security. This work to sortition theory helps elucidate how quantum mechanics can be harnessed for secure strategic advantage.
Abstract With the increasing use of renewable energy in the context of global climate change, microgrids are expected to be a promising form of accessing and distributing renewable energy sources. However, existing design methods for microgrid energy systems usually consider the system planning and system operation as separate problems, which cannot guarantee the safety, reliability and cost economy of microgrids from a holistic view. To fill this gap, we propose a system parameter design approach for community microgrid based on a bi-level optimization model. This approach can generate optimal system configuration parameters and operation parameters for a community microgrid energy system in an integrated way. To demonstrate the validity of the proposed approach, we use the construction and operation of a medium-sized community microgrid system in a southern-China city as the illustrative example. The results show that the generated system planning and operation strategies can effectively improve the reliability and lower the operation cost of the microgrid system without raising customers’ power consumption expenditures. In addition, the influence of the environmental sensitivity of renewable energy and the dynamics of customers’ power consumption patterns on the reliability and economy of microgrid are also examined and discussed. Our study contributes to the development of advanced design and operation methods for smart-community energy systems.
The latest development of mannich base corrosion inhibitors in recent ten years was reviewed, including high efficiency Mannich base inhibitor, low toxicity Mannich base inhibitor and new Mannich base inhibitor. The inhibition rate and mechanism of different Mannich base inhibitors were compared, and the advantages and disadvantages of different inhibitors were summarized.The development process of various corrosion inhibitors is mainly discussed.In order to meet the needs of acidizing construction in petroleum industry, the synergistic effect of corrosion inhibitors and the modified new Mannich base corrosion inhibitors are deeply considered. It is one of the future development directions of mannich base corrosion inhibitors that have the advantages of high efficiency, environmental protection and low cost.
Smart community microgrids are capable of efficiently addressing the energy and environmental challenges faced by cities. However, the inherent instability of renewable energy sources and the diverse nature of user demands pose challenges to the safe operation of community power systems. In this article, we first introduce a comprehensive system architecture, and an operational framework based on Energy Internet of Things (EIoT), which considers system‐level safety, reliability, and cost‐effectiveness, thereby enhancing the system’s coordination and performance. Next, we propose a bi‐level coordinated optimization method based on the users’ electricity consumption behaviors. At the planning level, we employ a multiobjective optimization approach to determine the most suitable microgrid configurations that cater to the requirements of various user groups, and the results derived from adaptive weight particle swarm optimization (PSO) algorithm are fed back to the operational level. At the operational level, a 24‐h time scale is selected, and the economic efficiency problem is addressed using a linear programming method. The operational decision results are then fed back to the planning level for major maintenance of the microgrid system. Meanwhile, we employ trend prediction methods to categorize maintenance tasks into short‐term and long‐term operations based on an analysis of daily operational data. The short‐term prediction results can serve as a reference to guide daily short‐term operations and maintenance tasks, while the long‐term prediction results can inform renovation and reconstruction initiatives for community microgrid. Finally, we choose a community as the subject of our study, and the results indicate that our research can provide new methods for the design and operation of microgrid in smart communities, thereby improving the scalability of the community’s power system.
The onshore full DC wind power generation system can effectively address the challenges of resonance and reactive power transmission in large-scale wind power AC convergence. However, the full DC wind power generation system transmitted through High-voltage direct current still carries the risk of high-voltage tripped from the grid. To handle this problem, the expression of the transient voltage at the wind power grid connection point after DC blocking is established. And the output power variation characteristics of the Grid connected inverter (GCI) are analyzed, the DC bus overvoltage mechanism is clarified. Secondly, based on the active and reactive power regulation capability of the DC/DC converter and the GCI, a coordinated control strategy for high-voltage ride-through is proposed, which focused on two perspectives: reducing the voltage at the grid connection point and mitigating the active power imbalance. Finally, a simulation model is constructed using the PSCAD/EMTDC simulation platform to verify the accuracy of the mechanism analysis and the effectiveness of the suppression strategy.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)