10results about How to "Reduce storage pressure" patented technology

The present application relates to solid waste recycling technical field, provide a kind of based on coal-based solid waste's anti-dispersion grouting material and its preparation method and application, the material is made of coal gangue, fly ash, silica ash, cellulose, water reducing agent and alkali activator, wherein, alkali activator is made of deionized water, sodium hydroxide and water glass.The based on coal-based solid waste's anti-dispersion grouting material is prepared according to following steps: after mixing coal gangue, fly ash, silica ash, cellulose and water reducing agent, stirring treatment is carried out, and powder precursor is prepared;Alkali activator is added to the prepared powder precursor, and alkali activator is made of deionized water, sodium hydroxide and water glass, continue to stir to prepare the based on coal-based solid waste's anti-dispersion grouting material.The present application can prepare the anti-dispersion grouting material of excellent fluidity, stability and mechanical property, provides innovative path for the resource of coal-based solid waste, significantly reduces material cost, improves environmental benefits and engineering application value.

The application discloses a kind of alliance chain slice construction and consensus method based on dynamic clustering, comprising, the real-time computing power of alliance chain node, transaction frequency and transmission rate are collected;By verifiable random function, node is divided into Full_node of storing complete data and Slice_node of only storing slice data;DQN algorithm is used to determine the number of slices K, and the final consensus group is formed by selecting consensus representative nodes from Full_node based on dynamic performance threshold;The correlation matrix between the remaining nodes is constructed, and the nodes are evenly distributed to K slices by means of improved clustering algorithm;In each slice and consensus group, the Leader node is elected;When a new transaction arrives, execute the corresponding consensus process according to whether the transaction parties belong to the same slice, and write into the blockchain after verification, collect consensus performance data by Leader, and determine whether to trigger slice reconstruction according to performance data: if triggered, re-slice, otherwise continue to process transactions until completion;The application can improve the throughput of the overall system, relieve the data storage pressure, and improve the system response efficiency.

This invention relates to the field of medical information security technology, and discloses a blockchain-based method and system for auditing and detecting unauthorized access to medical data. The method includes: structurally modeling medical data access behavior to construct access behavior feature vectors; performing multi-source fusion risk assessment based on an access control policy model and a behavior learning model to obtain a comprehensive risk value; executing a graded processing strategy according to the risk level and generating corresponding audit logs; structurally organizing the audit logs and constructing a Merkle tree to generate data fingerprints; writing the data fingerprints and summary information into the main chain, storing the complete audit logs in a side chain or off-chain storage, and achieving consistency verification through Merkle proofs; using smart contracts to verify the audit data and automatically execute access control responses, while simultaneously feeding back the audit results for model updates. This invention enables real-time detection, graded processing, and trusted auditing of medical data access behavior.

This invention provides a slope protection material composed of recycled heavy metal tailings and its preparation method. The material includes: recycled heavy metal tailings treated with a heavy metal chelating agent as a heavy metal ion capture agent, the chelating agent being added at 0.05%–0.2% of the heavy metal tailings weight; recycled heavy metal tailings as aggregate, which is mixed with natural soil to form a base material at a ratio of 1:1.5–2.5; fine aggregate and fine sand, added at 5%–10% of the base material weight; and high-viscosity industrial-grade sodium alginate added as a water-retaining and reinforcing agent, added at 0.5%–2.0% of the base material weight. Additionally, 28% organic matter is added to the base material. The application of this invention effectively solves the problems of ineffective utilization of recycled heavy metal tailings and excessive use of scarce natural soil in existing technologies, and also addresses the issues of weak strength, poor effectiveness in steep slope treatment, and poor stability in existing slope protection materials.

This invention relates to a method for the resource recovery of rare earth, thorium, and iron from iron-thorium slag. The method includes the following steps: (1) finely grinding the iron-thorium slag; (2) uniformly mixing the finely ground iron-thorium slag with reducing carbon powder, and then roasting them together in a muffle furnace to obtain roasted slag; (3) mixing the roasted slag with alkaline solution and then placing it in a sealed container for high-temperature alkaline conversion reaction to obtain alkaline conversion slag; (4) washing the alkaline conversion slag with water to remove fluoride and aluminum, and then filtering and drying it to obtain water-washed slag; (5) subjecting the water-washed slag to acid dissolution reaction, and after separation, obtaining a thorium-containing rare earth solution and an acid-leached slag respectively; (6) after deep impurity removal, transferring the thorium-containing rare earth solution to an extraction system to separate and purify rare earth and thorium elements. This invention solidifies most of the iron in the iron-thorium slag in the form of goethite through high-temperature roasting, avoiding the loss of rare earth caused by the subsequent leaching process, and has the advantages of high rare earth recovery rate, low slag rate, and low auxiliary material consumption.

This invention relates to a training method, system, and readable storage medium for streaming image semantic segmentation models, belonging to the field of image segmentation technology. The training method includes dividing a streaming dataset into multiple data subsets based on a streaming data partitioning strategy; training multiple image semantic segmentation models based on each data subset; wherein each data subset corresponds one-to-one with an image semantic segmentation model, and each image semantic segmentation model has a identifiable category used to identify the data category of the corresponding streaming data; integrating the multiple image semantic segmentation models into a final segmentation model based on the identifiable categories of the image semantic segmentation models and their dynamic voting weights; the final segmentation model identifies the data category of the input streaming data and performs semantic segmentation according to the dynamic voting weights of the image semantic segmentation models. This invention can improve the segmentation performance of streaming image semantic segmentation models using minimal storage and training resources.

The application provides a brain-computer interface data acquisition and analysis method, system and sensing device, and belongs to the technical field of data processing. Specifically, brain-computer interface data of a target terminal when the target terminal is combined with an associated sleep monitoring device to verify a sleep state is acquired as feature data, deviation of the brain-computer interface data of the target terminal and the feature data and acquisition data of the brain-computer interface data are obtained, when forgetting processing of the brain-computer interface data is required, forgetting management methods of the brain-computer interface data of different target terminals are determined according to model recognition deviation of different target terminals in a target period, and the demand for storage space in a cloud platform is reduced.

This disclosure discloses an online monitoring method for high-voltage circuit breakers, comprising the following steps: S100: constructing a data warehouse; S200: using the constructed data warehouse as a training set to train a high-voltage circuit breaker fault diagnosis model to obtain a trained high-voltage circuit breaker fault diagnosis model; S300: continuously collecting real-time operating data of the high-voltage circuit breaker under test and expanding it into the data warehouse, and continuously performing online training on the trained high-voltage circuit breaker fault diagnosis model based on the real-time operating data to iteratively optimize the model.

This invention provides a method and system for redundant data processing and transmission in FPGA-ROS, relating to the field of robot operating system communication. The method executes input and output processing flows in parallel within the FPGA: in the input flow, newly received ROS topics are compared with historical topics; if the content differs, it is stored in main memory; otherwise, it is discarded. In the output flow, topics are read from main memory and sent according to a preset mode. In the non-timing mode, a second comparison is performed before transmission to filter redundancy, and topics oriented towards the executor can be translated into instruction format. This invention implements dual redundancy filtering and instruction conversion in hardware, significantly reducing storage and bandwidth overhead and improving system processing efficiency and compatibility.

The application discloses a kind of based on digital pathology section local high-precision magnifying glass system, comprising: main view module, for loading and display digital pathology whole section image;Magnifying glass module, including nested sub-viewport, for specified local area in the current field of view of the main view module is carried out high-power display;Wherein, the magnifying glass module is shared with the main view module by cloning mechanism Image resources;Display area layer, which is overlaid on the display interface of the main view module, is used to visually mark the corresponding position of the local area in the main view module;Control handle layer, integrated in the display area layer, is used to receive user input to interactively adjust the local area, realize local magnification based on original high-resolution data;Non-repeated loading of image resources significantly reduces server and network pressure;Main view and local view are highly consistent, to avoid misdiagnosis.