20results about How to "Solve resource problems" patented technology

This invention discloses a method for the biological drying of sludge, comprising the following steps: baking biomass materials, mixing the resulting baked product with sludge, biochar materials, and a conditioner for biological drying, thereby completing the sludge drying process. In this invention, by biologically drying the mixture of baked product, sludge, biochar materials, and conditioner, not only can the self-generated heat within the system be used to effectively dewater the sludge in a very short time, but the bioavailability of the microbial carbon source can also be improved, effectively reducing the generation of polluting gases. This method can effectively reduce the emission of polluting gases while achieving rapid dewatering. It has advantages such as simple process, low treatment cost, low energy consumption, high drying efficiency, good dewatering effect, low polluting gas production, and low content of toxic and harmful components in the dried product. It can solve the problems of biomass resource waste and pollution, achieve sludge reduction and resource utilization, and has high returns and good application prospects.

The application discloses a method and a server for generating ancient poetry video based on voice interaction video model, and relates to the technical field of artificial intelligence education, comprising: receiving a user's ancient poetry learning voice instruction and converting it into an instruction text; obtaining context information of the current user conversation; identifying whether the current intention is to generate an ancient poetry video according to the recognized instruction text and context information; when the intention is to generate an ancient poetry video, searching for corresponding author and original text information according to the recognized ancient poetry title; generating an ancient poetry meaning interpretation text by receiving the ancient poetry title, author and original text information through a text generation large model; and generating a video depicting the expression of ancient text or poetry by receiving the ancient poetry title, author, original text information and the ancient poetry meaning interpretation text through a preset video generation large model in real time. The application aims to solve the problem that users cannot generate ancient poetry learning videos in real time through voice interaction in the prior art.

The application discloses a data processing device for LDPC code layered decoding, which comprises a configurable computing unit capable of switching between row update mode and column update mode, a storage system physically divided into multiple independent storage banks, an address generation unit and a control unit. The address generation unit is configured to map access addresses of parallel data requests to different independent storage banks, and the control unit is configured to schedule column update tasks to be performed first and then closely related row update tasks in a decoding layer, wherein the row update tasks directly read the latest variable node messages generated by the column update tasks. The application guarantees the immediate reuse requirement of the layered decoding algorithm for the latest messages by constructing a high-bandwidth parallel data access path, eliminates the memory access bottleneck, and thus can fully exert the performance advantage of the layered decoding algorithm to realize high-throughput decoding processing.

This invention provides an energy flow architecture and test power supply system for automotive electric drive system testing equipment, belonging to the field of automotive technology. It includes: a three-phase rectified power supply; a dual-channel bidirectional DC / DC converter module, with its input connected to the output of the three-phase rectified power supply; a vehicle electric drive motor, connected to the first channel output of the dual-channel bidirectional DC / DC converter module via a second-stage high-voltage DC bus; a bidirectional inverter module, connected to the second channel output of the dual-channel bidirectional DC / DC converter module via a second-stage constant-voltage DC bus; a load motor module, connected to the bidirectional inverter module via a three-phase power cable; the load motor module includes at least two load motors, with the first load motor connected to a reducer, and the second load motor connected to the reducer or the first load motor via a mechanical stacking connection device. This invention solves the technical problems of resource waste and inefficient investment in existing electric drive system testing equipment.

The application provides an industrial asset space-time trajectory tracking method and system based on multi-source heterogeneous positioning data fusion. Among them, the edge node on the industrial asset collects multi-source heterogeneous asset positioning data to infer signal propagation path, extracts the geometric characteristics of the terrain reflecting surface and selects the polarization direction of the LoRa and satellite communication link; the edge node is divided into a federal learning group according to the geographical area, the positioning data is transmitted in the group through the polarization direction, the space-time feature segment of the industrial asset trajectory is generated, and is broadcast to the adjacent federal learning group; according to the space-time feature segment broadcast by the adjacent group, combined with the signal coverage blind area information, the topological extension is carried out on the broken area of the cross-group trajectory, and a continuous trajectory prediction path is generated; based on the signal attenuation difference of different terrain areas, the continuous prediction path is integrated, and a space-time trajectory tracking strategy is generated. The technical scheme provided by the application improves the reliability of industrial asset trajectory tracking in complex terrain.

The invention relates to the technical field of data processing, in particular to an agricultural equipment sales-oriented full-process business management and analysis system, which comprises a time sequence feature analysis module configured to generate a trend amplification coefficient according to a matching relationship between current time and a preset farming time window, and weight historical sales volume data based on the trend amplification coefficient to obtain a weighted historical sales volume; outputting a dynamic safe water level line; the bimodal arbitration module is configured to compare the current available stock with the dynamic safety water line in real time; a sequence distribution mechanism or a weight filtering mechanism is activated; and the data consistency guarantee module is configured to respond to the allocation of the resource locking authority, generate a temporary token in a memory, and asynchronously trigger data synchronization aiming at the database. According to the method, the problems of resource mismatching and concurrent deadlock under the seasonal pulse demand are solved through the time sequence dynamic water level and bimodal arbitration.

This application discloses a sensor bandwidth allocation method, system, and device based on the Industrial Internet of Things (IIoT), relating to the technical field of IIoT. The method includes: acquiring the status information of each static sensor node, planning a movement path for a mobile relay device based on the status information, configuring a dedicated channel for the mobile relay device, and determining a reference service time window; during movement, generating a channel trigger command based on the real-time location and real-time movement speed of the mobile relay device and the reference service time window of the target service segment; generating a global network time slot scheduling strategy based on the activation timing of the dedicated channel; distributing the global time slot scheduling strategy to the static sensor nodes, and distributing the movement path and the reference service time window to the mobile relay device. This application improves the accuracy of response to spatially dynamic unbalanced loads.

This invention discloses a big data-based operational analysis method, system, and medium, relating to the field of big data analysis technology. The method involves a central server first performing hierarchical or channel pruning on an initial model based on client terminal computing resource information, generating multiple compression ratio versions and adapting and distributing them. Then, the client terminal uses local historical behavioral time-series data to train the received model locally, allocating differentiated noise injection amounts to model parameters based on the impact of behavioral characteristics. After noise addition and homomorphic encryption, the parameters are uploaded. Next, the central server securely decrypts and aggregates the encrypted parameters, updates the model, and recompresses and adapts it before distribution. Then, the client terminal uses the new model to predict the churn probability of the latest behavioral time-series data, uploading early warning information when thresholds are exceeded. Finally, the central server generates an operational analysis report based on the early warning information. This achieves a privacy-preserving federated learning and real-time prediction closed loop, balancing data privacy and prediction accuracy.

The application discloses a kind of based on multi-source information intelligent agent's electric load feature extraction system, it is related to load sampling technical field.The system includes multiple information processing intelligent agents and at least one comprehensive intelligent agent.For receiving original electric power related data and extracting the basic feature vector of this source domain.Task perception interface is used to obtain the feature requirement information of target analysis model.Dynamic collaborative scheduler dynamically selects the intelligent agent set participating in collaboration according to feature requirement information, and allocates real-time computing resources and data sampling strategy for each selected intelligent agent.Feature collaborative recombination engine receives the basic feature vector output by selected intelligent agent, and carries out cross-domain collaborative fusion, generates the electric load feature tensor adapted to target analysis model.Effectively solve the problem of insufficient multi-source information fusion depth and low feature recombination accuracy, significantly improve the flexibility of feature extraction and the adaptation ability to complex analysis model.

This application provides a method for the efficient recovery of vildagliptin from vildagliptin mother liquor, belonging to the field of medicinal chemistry technology. Using vildagliptin mother liquor containing disubstituted impurities as the treatment target, an N-dealkylation reaction is used to selectively remove additional alkyl substituents from the disubstituted impurities, directionally converting the impurities into the target product vildagliptin, thus achieving waste resource utilization. This application requires no complex equipment, uses mild reaction conditions, achieves a disubstituted impurity conversion rate ≥90%, increases the total vildagliptin yield by 5-8%, and does not generate new process impurities. Hydrogen peroxide, as a commonly used industrial oxidant, is inexpensive, and the only byproduct is water, significantly reducing environmental pressure. It is fully compatible with existing industrial production processes and has outstanding economic value and environmental significance.

The application discloses a federated learning system for Internet of Vehicles and a method for constructing a joint optimization model, and the federated learning system for Internet of Vehicles comprises a vehicle terminal, a roadside unit and a V2X wireless communication link; the V2X wireless communication link is disconnected in the vehicle, the V2X wireless communication link is connected to the roadside unit, and the roadside unit is connected to the vehicle terminal; the method for constructing a joint optimization model comprises the following steps: step S1, constructing an optimization objective function; step S2, establishing a constraint system of the optimization objective function; step S3, constructing a coupling relationship between federated learning and communication according to the objective function and the constraint system; step S4, constructing an optimization problem according to step S3; and step S5, solving the optimization problem by using an adaptive alternating optimization algorithm; and the application solves the problems that the prior art cannot simultaneously consider communication reliability and resource utilization efficiency and lacks a federated learning optimization mechanism capable of performing real-time power regulation and bandwidth allocation according to vehicle dynamic characteristics.

This invention discloses a multi-satellite electromagnetic signal source localization method based on overpass time acquisition. It primarily addresses the problems of existing methods failing to achieve on-board positioning under conditions of low link bandwidth and limited payload resources, and also suffers from high algorithm complexity. The implementation scheme is as follows: S satellites are selected, and the frequency of the target signal is continuously recorded starting from the moment the target signal can be detected. The overpass time of each satellite is calculated based on the Doppler frequency change rate of the detected target signal. The region where the target signal source is located is calculated based on the time when the satellite begins to detect the target signal and the time when it stops receiving the target signal. This region is then divided into grids, and the shortest distance time between the grid and the satellite is calculated. Based on the overpass time and the shortest distance time, the average position deviation of each grid is calculated to determine the location of the target signal source. This invention simplifies the complexity of current satellite positioning technology, improves signal positioning accuracy, and can be used for real-time online on-board positioning of electromagnetic signal sources.

This invention discloses a resource-optimized order execution system for high-frequency trading, comprising a signal receiving and parsing module, a decision and resource management engine, and an order instruction gateway. The system operates in a decision cycle of fixed duration T, maintaining a cycle number t that increments at the beginning of each cycle. The signal module starts in the t-th cycle, receiving and parsing the return rate and transaction probability prediction signals for that cycle. The decision unit judges the signals based on a preset threshold: if the return rate triggers a directional warning or there is a place to place an order that meets the probability threshold, it outputs an allow instruction signal; otherwise, it outputs a suppress instruction signal. When the resource scheduling unit receives the suppress signal, it immediately reallocates the resources of the order chain to the signal module. The order instruction gateway generates and sends a fixed number of orders only when it receives the allow signal; it disables the function when it receives the suppress signal. This system realizes dynamic optimization and collaborative scheduling of computing resources.

This invention discloses a PC-based integrated vision-motion logic control method, device, and storage medium, relating to the field of industrial automation control technology. The method includes the following steps: establishing a three-buffer ring array and a global atomic index in the physical memory of a multi-core PC; utilizing CPU atomic instructions to achieve data interaction between the vision process and the PLC core; the PLC periodically comparing frame tokens, and when visual data lag is detected, automatically entering inertia compensation mode to generate virtual target coordinates and calculate inertial drift to ensure motion continuity; real-time calculation of crash warning values ​​and jamming risk indicators, based on which a multi-level linkage multi-dimensional adjustment algorithm dynamically adjusts the PLC control cycle and process parameters to achieve proactive defense and adaptive adjustment of the system. This invention solves the problem of control cycle breakage and discontinuous mechanical motion oscillation caused by significant fluctuations in the visual recognition time of non-standard agricultural products.

This invention relates to the field of real-time resource scheduling technology, specifically a real-time scheduling method for lane control robots based on multi-dimensional sensor data. The method includes: dividing management areas for arrival and drop-off robots; acquiring multimodal sensor data from the management areas, extracting features, and fusing them using a self-attention mechanism to obtain a fused feature vector; obtaining a drop-off scenario complexity score and a departure intention score through a drop-off scenario evaluation model; simultaneously calculating the real-time resource occupancy index for each lane; calculating differentiated allowed dwell time based on the drop-off scenario complexity score and the overall resource occupancy status of the drop-off platform; and providing early warnings and management based on the drop-off scenario complexity score, departure intention score, real-time resource occupancy index, differentiated allowed dwell time, and empty space detection results. This invention improves flexible decision-making capabilities and resource utilization, and is suitable for real-time resource allocation and decision support in complex traffic scenarios.

The application discloses a kind of non-structure grid full automatic generation method, it is related to computational fluid dynamics pre-processing technical field.The application includes: the component segmentation is carried out to aircraft CAD model, obtains segmentation result and key geometric feature line;Geometric defect identification and repair are carried out to each subcomponent, generate component-level surface grid;Fusion geometric data, component semantic label and calculation working condition, utilize neural network to predict the grid area type and control parameter of boundary line, drive generation optimized surface grid;Based on optimized surface grid, generate boundary layer and three-dimensional body grid, assemble and output complete simulation model.Intelligent segmentation is realized by the combination of multi-modal AI and geometric rules, defect adaptive repair and grid strategy intelligent decision are realized by using graph neural network, and hybrid body grid containing pyramid transition unit is automatically generated, end-to-end full automatic generation from CAD model to simulation grid is realized, and the grid generation efficiency, quality and adaptability to flow field characteristics are significantly improved.

This application relates to the field of lens manufacturing technology, and provides a method, apparatus, electronic device, and storage medium for determining optical lens molds. The method involves acquiring the basic parameters of the optical lens to be processed and the target process type; determining the target mold radius and calculating the target mold height based on the lens parameters and target process type; acquiring pre-stored mold inventory data; matching the target mold radius and target mold height with the mold inventory data; and determining the target matching mold based on the matching result. This application automatically calculates the target mold radius and target mold height by acquiring the lens parameters and target process type, and forcibly introduces an inventory matching mechanism to determine the final mold, thus achieving an automated and standardized process from "parameter acquisition" to "mold selection," effectively avoiding the errors and inefficiencies caused by traditional manual calculations.

This application provides an anomaly analysis method and apparatus based on real-time object detection and a multimodal large model. The method includes: inputting video frame images into an object detection model to obtain predicted categories and predicted locations; constructing prompt words corresponding to the video frame images, the prompt words including predicted categories and predicted locations; inputting the prompt words and video frame images into a multimodal large model; determining a first image feature corresponding to the predicted category through the multimodal large model; obtaining a region image of the predicted location from the video frame images; determining a second image feature of the region image; if the similarity between the first image feature and the second image feature is greater than a similarity threshold, then determining that the object to be detected is a risky object; analyzing whether the target object has abnormal actions based on the video frame images using the multimodal large model; and outputting the model inference result. This application's solution can effectively reduce the false alarm rate.

This invention relates to the field of policy matching technology, specifically to a method and system for cross-regional enterprise science and technology policy consultation matching. The method includes: receiving time-series data of the head office and branches within an enterprise group, and outputting predicted values ​​of key development indicators through a time-series prediction module to identify high-potential companies; receiving cross-regional operational data and constructing a structured organizational map including legal forms; receiving policy data and constructing a policy resource spatial map including application qualification requirements; inputting the above data into a policy consultation matching module, and generating immediate application suggestions and cross-period layout plans for high-potential companies through a multi-stage processing flow. This invention breaks through the static and geographical limitations of traditional policy matching, realizing intelligent decision support that dynamically predicts enterprise potential from a national perspective and generates short-term application and long-term cross-regional strategic restructuring plans, effectively improving the efficiency of enterprise policy utilization.

This invention relates to the field of graphics card chip technology and discloses a method and system for dynamic scheduling of computing power in a graphics card cluster. The method includes acquiring graphics card utilization and network traffic sampling sequences, obtaining computationally and communication-intensive stage label sequences through timestamp alignment and stage analysis; calculating the peak computing power and bandwidth requirements of the two types of stages and prioritizing tasks; matching target graphics card groups, generating reserved bandwidth channels by pre-allocating network paths in conjunction with stage switching windows; and synchronizing execution parameters and updating the running status sequence in a closed loop. This method can achieve precise dynamic scheduling of graphics card cluster computing power, meeting the dual requirements of high-performance computing efficiency and resource utilization.