76results about How to "Optimize resource allocation" patented technology

The invention discloses a wholesale document intelligent label printing and management system, and relates to the technical field of computer application and logistics informatization, and the system comprises a basic configuration module which comprises a configuration input unit and a configuration storage and cache unit, and is used for importing configuration information through a graphical interface and a configuration file, the configuration information comprises a label rule, a picking code rule, supplier grade and market information, a label template and stock list configuration, and caching the configuration information to the basic configuration cache. According to the wholesale port intelligent label printing and management system, through automatic and intelligent technical means, closed-loop management of the whole process from order access, label generation, sorting to delivery and account checking is achieved, manual intervention and the error rate are reduced, the unique inventory state-label type linkage mechanism is adopted, and the intelligent label printing and management system has the advantages of being simple in structure and convenient to use. The accuracy and timeliness of the label information are ensured, and goods damage and delay caused by inconsistent information are avoided.

The invention discloses a wireless state synchronization management platform and method for a power supply module and a display module, and relates to the technical field of wireless communication and state synchronization management. The method is suitable for application environments such as intelligent warehousing and automatic guided vehicle (AGV) scheduling which need to supply power to multiple terminal devices and receive state information at the same time. Semantic level classification identification, dynamic priority ranking and a self-adaptive scheduling optimization mechanism are introduced into a reverse communication channel; a basic frame structure of a multi-display module is defined and analyzed; the problem of signal conflict when a plurality of display modules transmit state signals on the same wireless channel is solved, a priority identifier is introduced by enhancing a frame structure, and it is ensured that a power module can preferentially process an emergency charging request and a fault alarm signal in a multi-module environment. And the processing efficiency of high-priority signals is improved through comprehensive weight calculation, so that the performance and reliability of the system in multi-module concurrent communication are improved.

The invention provides a cash flow processing method and device, computer equipment and a readable storage medium, and relates to the technical field of computers. The method comprises the following steps: screening multi-dimensional transaction related data, and configuring an advanced repayment customer behavior model corresponding to an advanced repayment matching rule conforming to the multi-dimensional transaction related data as a target advanced repayment customer behavior model matched with transaction flow data; based on the target advanced repayment customer behavior model, obtaining an advanced repayment period number and an advanced repayment configuration value; different types of cash time axes are generated based on the transaction flow data, and the different types of cash time axes are combined to form a combined time axis; a cash flow amount is calculated based on the advanced repayment period number, the advanced repayment configuration value, and the merge time axis.

The embodiment of the invention discloses a power transmission line section division method and device, equipment and a medium, and the method comprises the steps: obtaining the hidden danger data and position information of each tower in a power transmission line in a preset range, and enabling the hidden danger data to be the occurrence frequency of each hidden danger type in each tower in a preset time; determining comprehensive weight information of each hidden danger type according to the hidden danger data; determining a hidden danger score of each tower according to the comprehensive weight information and the hidden danger data; and according to the position information and the hidden danger score of each tower, dividing the power transmission line in the preset range into a plurality of sections. By considering the hidden danger data of each tower, potential safety risks can be identified more accurately, and high-risk sections are divided, so that targeted maintenance and repair measures are taken, and the possibility of accidents is reduced. Moreover, reasonable section division is beneficial to optimizing resource allocation, it is ensured that the key area is monitored and maintained more frequently, and the overall safety of the power transmission line is improved.

A method, apparatus, and system for directly controlling network energy savings (NES) using service management and orchestration (SMO) and distributed units of an O1 interface may be provided, and may include transmitting, by an open radio access network (O-RAN) distributed unit (O-DU), network energy savings (NES) information to the service management and orchestration (SMO), the network energy saving information comprises at least one of network traffic, load performance measurement, and key performance indicator (KPI); receiving, by the O-DU, a message indicating when to apply the TRx control configuration to an O-RAN radio unit (O-RU); setting, by the O-DU, a transceiver (TRx) control configuration at the O-RU over a forward pass (FH) interface on a management plane (M-plane) or a control plane (C-plane) based at least in part on the received message; and transmitting, by the O-DU to the SMO, a notification indicating whether the activation of the TRx control configuration is successful.

The invention provides a parallel computing performance detection method and device, a storage medium and computing device.The method comprises the steps that a parameter configuration file for a computing job is obtained; loading a target script template matched with the parameter configuration file from batch processing script templates corresponding to multiple parallel computing cluster types, and instantiating the target script template by using the parameter configuration file to obtain an instantiated script; scheduling a parallel computing program indicated by the parameter configuration file and computing resources in a parallel computing cluster to execute a computing job through the instantiation script, and collecting initial performance monitoring data in a job execution process; the initial performance monitoring data at least comprises a job execution condition and a cluster resource use condition; and generating a performance detection result of the parallel computing program under the parallel computing cluster according to the initial performance monitoring data.

The invention belongs to the technical field of power grid disaster prevention and reduction, and particularly relates to a risk assessment method and device for deicing jump of a power transmission line, electronic equipment and a computer readable storage medium. The method comprises the following steps: determining risk influence factors influencing the deicing jump of the power transmission line, and constructing an original parameter data set containing a plurality of deicing working conditions; establishing a conductor deicing model under a plurality of deicing working conditions and carrying out analogue simulation to obtain a risk consequence index; constructing a standardized decision matrix, respectively calculating the comparison intensity and conflict of each risk influence factor, and calculating the comprehensive information amount and objective weight of each risk influence factor to obtain an objective weight vector; and identifying the key dominant factors based on the objective weight vector and carrying out working condition optimization in combination with the risk consequence indexes under each deicing working condition to obtain the optimal deicing working condition with the lowest comprehensive risk. According to the method, the CRITIC method is applied to power transmission line deicing jump risk assessment, and the deicing working condition with small risk can be selected.

This application provides a method, apparatus, storage medium, and computing device for detecting parallel computing performance. The method includes: obtaining a parameter configuration file for a computing job; loading a target script template matching the parameter configuration file from batch processing script templates corresponding to various parallel computing cluster types, and instantiating the target script template using the parameter configuration file to obtain an instantiated script; scheduling the parallel computing program indicated by the parameter configuration file and the computing resources in the parallel computing cluster to execute the computing job through the instantiated script, and collecting initial performance monitoring data during the job execution process; the initial performance monitoring data includes at least the job execution status and cluster resource usage; and generating a performance detection result of the parallel computing program under the parallel computing cluster based on the initial performance monitoring data.

The invention relates to the technical field of broadcast systems, in particular to a control system for multi-channel automatic switching transmission, which comprises a data acquisition unit used for acquiring real-time operation parameters of each main transmission system, signal output indexes of corresponding channels, hardware performance parameters of a public standby machine and historical switching records; the stable monitoring unit is used for dividing the operation cycle of the main transmitting system into a plurality of state monitoring time periods; for the current state monitoring time period, the fluctuation amplitude and the abnormal frequency of the real-time operation parameters of each main transmitting system in the historical state monitoring time period are analyzed, and the operation stability of each main transmitting system in the current state monitoring time period is determined. Through cooperative work of a plurality of units such as data acquisition, stable monitoring and reliable monitoring, real-time monitoring and dynamic switching of a main transmitting system and channels are realized, manual intervention is greatly reduced through the automatic control mode, and the response speed and the operation efficiency of the transmitting system are improved.

The application belongs to the technical field of intelligent manufacturing, and discloses a production quality online monitoring and tracing method and system for color steel profiled plates and aluminum-magnesium-manganese roof plates. Special sensing equipment is deployed in the whole link of raw material entering, profile forming and coating curing. Terahertz spectrum sensors, laser composite sensing units, infrared thermal imagers and other devices work together, and are matched with adaptive adjustment and self-calibration technologies to ensure the accuracy of process parameters and defect information collection. Cross-modal feature extraction and double-branch models are used for defect identification, which can accurately identify subtle surface defects, accurately locate internal micro-cracks and plate shape deviations, and realize full-process online monitoring. A hybrid trusted architecture combining blockchain, NFT and RFID is used to configure a unique identifier and digital certificate for each batch of plates, embed core quality information, and implant a special chip on the surface of the plate to support fast reading and writing in all scenarios.

This invention discloses a method for identifying the deterioration of subgrades of long-service highways based on a shear modulus inversion model. It utilizes various sensors embedded in the subgrade to acquire multi-source monitoring data of the target road segment, including environmental parameters, mechanical response parameters, physical state parameters, and spatial location information, and performs preprocessing. By constructing hysteresis features and removing recursive features, an in-situ subgrade shear modulus inversion model is established, transforming the multi-source monitoring data into a shear modulus distribution field that considers the temporal changes in the subgrade's state and includes spatial information. Based on the inverted spatial distribution field of the shear modulus, spatial variability indices such as the coefficient of variation and Moran's index are calculated, and the subgrade deterioration state is identified based on its evolution trend, outputting the deterioration identification result. This invention provides a scientific basis for maintenance decisions.

The invention discloses a feeder terminal analog quantity verification method based on inter-core shared memory communication, which relates to the field of power equipment test and calibration, and comprises the following steps: establishing communication connection and analog quantity signal connection between a test board body and a feeder terminal; the test board body sends a null drift calibration command, and the feeder terminal cooperates with the real-time core and the management core through the inter-core shared memory to complete acquisition, calculation, verification and storage of null drift parameters; the test bench body sends a precision calibration command, and the feeder terminal cooperates with the real-time core and the management core through the inter-core shared memory to complete acquisition, calculation, verification and storage of an analog quantity calibration coefficient; and the feeder terminal uses the stored null drift parameter and the calibration coefficient to carry out subsequent analog quantity measurement. According to the scheme, the full-process closed-loop control of the analog quantity verification of the feeder terminal from instruction issuing, parameter calculation verification to storage calling is realized, and the verification efficiency and accuracy are improved.

This invention discloses a data-driven intelligent prediction method, system, and cable for cable life, relating to the field of intelligent operation and maintenance technology for power equipment. The method includes collecting multi-dimensional historical operating sequence data of the cable, such as current, voltage, partial discharge, temperature, and ambient temperature and humidity; generating a comprehensive cable state feature sequence through multi-source heterogeneous data fusion technology; extracting a degradation feature vector from this data, based on aging mechanisms, including accumulated load fatigue, insulation degradation index, and thermal stress damage degree; inputting this vector into a pre-trained model for time-series evolution simulation, outputting the probability distribution of remaining life and key failure time nodes; and generating a preventative maintenance decision-making scheme including maintenance windows, operation priorities, and inventory warnings. This method, through mechanism-driven and probabilistic prediction, achieves more accurate assessment and risk quantification of cable life, providing a direct decision-making basis for proactive operation and maintenance.

The utility model relates to the technical field of goods sorting, in particular to an automatic goods picking robot which comprises an industrial robot body, a plurality of sets of goods storage plates are arranged on one side of the industrial robot body, a goods carrying plate is arranged on the other side of the industrial robot body, a rotatable rotating disc, a supporting plate and a sliding plate connected in a sliding mode are arranged on the goods carrying plate, and a clamping plate is installed on one side of the sliding plate. In the working process, the goods storage plate conveying belt conveys goods under driving of the motors, and the multiple sets of motors are matched with the threaded rods and the guide rods to achieve accurate clamping and carrying of the goods through the clamping plates. According to the automatic goods picking robot, the goods are driven to rotate in the mode that the first motor drives the rotary table to rotate, so that the goods identification is adjusted to be in the direction right facing scanning equipment or operators, and the goods are automatically picked. The method has the advantages that the labor cost is reduced, and the warehouse logistics information processing accuracy is improved.

The invention discloses a satellite network data transmission method and system based on beam hopping and frequency multiplexing, and relates to the technical field of satellite network high-concurrency data transmission, the method comprises the following steps: constructing a user terminal access avoidance mechanism and an asynchronous processing mechanism according to a corresponding relation between a low-orbit satellite and a user terminal; determining a user terminal accessed by the low-orbit satellite; the method comprises the following steps: grouping user terminals accessed by a low earth orbit satellite through a K-means algorithm to obtain a user group; and dividing a communication frequency band of the low-orbit satellite into a plurality of communication sub-frequency bands, and issuing data resources to the user group by the sub-frequency bands through a beam hopping method. The access efficiency is effectively improved by constructing an avoidance mechanism and an asynchronous processing mechanism, the resource allocation of the low-orbit satellite can be effectively optimized through dynamic grouping, the spectrum resource utilization rate of the low-orbit satellite is effectively improved by multiplexing a plurality of communication sub-bands, and concurrent access of multiple user terminals is supported.

The application discloses an energy efficiency optimization method and system of an irrigation area, a storage medium and an electronic device, and relates to the field of intelligent irrigation. The method comprises the following steps: acquiring crop information and soil information of each sub-area in an irrigation area, wherein the irrigation area is communicated with branch pipes of each sub-area through a main pipe; for any sub-area, determining an irrigation amount and an irrigation priority required by crops in the sub-area according to the crop information and the soil information; and generating a first irrigation plan of a connected area according to the irrigation amount and the irrigation priority of each sub-area, wherein the connected area is composed of at least two sub-areas, and the first irrigation plan comprises an irrigation mode of irrigating crops in each sub-area in the connected area at different time periods. The technical scheme provided by the application can realize overall energy efficiency optimization of an irrigation system.

The application provides an I / O feature prediction method, a model training method and related devices. The job submission script of a job is converted into a grayscale image, and a deep learning method of image recognition is used to realize the prediction task of the I / O feature. When the I / O feature is predicted, the processing method accumulated in the field of deep learning can be reused, including various classical image recognition network structures, to process the above-mentioned grayscale image to obtain the I / O feature of the job. Compared with the existing method of using a "job name-user name-computing node number" triplet as the I / O feature and using a clustering algorithm to process a large-scale data set for prediction, the I / O feature can be predicted based on the job submission script, the time consumption of the prediction of the I / O feature is reduced, and the I / O feature of the job in the high-performance computing cluster is accurately and efficiently predicted.

The invention provides a quotation decision-making system and method suitable for a sustainable development mechanism. The method comprises the following steps: automatically generating a simulation subject of each quotation participant according to information of each quotation participant, quotation spatial constraints and report spatial constraints; based on a clearing mechanism, the quotation and the report quantity of each simulation subject are cleared during each iteration, multiple iterations are carried out until an iteration cut-off condition is reached, each simulation subject provides the quotation and the report quantity during each iteration, and after each simulation subject provides the quotation and the report quantity, a clearing simulation unit clears the quotation and the report quantity of each simulation subject; and determining a quotation according to the income of the at least one simulation subject after multiple iteration clearing. According to the scheme, a scientific and reasonable decision reference is provided for each subject participating in bidding, and the risk of virtual high offer or ultra-low price loss can be reduced, so that resource configuration can be optimized, the new energy consumption efficiency can be improved, and price fluctuation of a quotation market can be reduced.

This invention relates to a real-time monitoring method and system for cloud computer rooms, comprising: collecting data and identifying abnormal user behavior; splitting the server into multiple individual components; calculating the instantaneous sensitivity value of each individual component; calculating the performance change rate based on the instantaneous sensitivity value; calculating the comprehensive state of each individual component under different fluctuation frequencies and times, i.e., the comprehensive sensitivity value; calculating the performance impact value of power fluctuations based on the instantaneous sensitivity value and the performance change rate. By quantifying the instantaneous sensitivity value and the performance change rate to calculate the performance impact value of power fluctuations, the impact of power fluctuations on server performance can be assessed more accurately. Analyzing the server into multiple individual components allows for a more comprehensive understanding of the impact of power fluctuations on the overall server performance. Establishing a sensitivity value model can predict server performance changes under different power fluctuation conditions, providing a more accurate and comprehensive method for assessing the impact of power fluctuations on server performance.

The application discloses an electrical equipment partial discharge anomaly intelligent monitoring method and device and medium, relates to the technical field of power system state monitoring and fault diagnosis, and effectively improves the accuracy and robustness of GIS equipment partial discharge anomaly monitoring through integration of multi-scale feature extraction, attention mechanism and intelligent fusion framework; at the signal processing level, the multi-scale residual network can simultaneously capture local details and global patterns, overcoming the insufficient representation of single-scale features under complex discharge modes; combined with the spatial-channel joint attention mechanism, the key feature area is dynamically focused, and the separation ability of the cross interference signal is significantly enhanced; the phase-aware mask filtering is adaptively adjusted based on the PRPD phase reference, coupled with the phase selectivity, amplitude threshold and neighborhood connectivity, the effective signal is retained while the non-target noise is suppressed, the load fluctuation and equipment working condition change are adapted, and the mismatch problem caused by fixed parameters is avoided.

This application relates to the field of cross-border trade process optimization technology, and discloses a method, apparatus, computer equipment, and storage medium for optimizing cross-border trade processes. The method includes: acquiring information about goods to be traded across borders and customs clearance information; generating multiple preset dimensions based on the goods information and customs clearance information; collecting dimension values ​​corresponding to the preset dimensions from a preset knowledge graph to form a state space; wherein the state space is the space corresponding to all preset dimensions; and optimizing the state space using a preset learning algorithm to obtain an optimized customs clearance process. The beneficial effects of this invention are: making cross-border trade processes more flexible and adaptable, improving overall operational efficiency, shortening customs clearance time, enabling enterprises to optimize resource allocation, reduce operating costs, and ultimately improve overall market responsiveness and customer satisfaction.

The application provides a big data-based integral mall order rolling processing optimization method and system, which comprises the following steps: for the conflict order list, a dynamic priority adjustment mechanism is adopted, the order processing priority is adjusted based on the user behavior trajectory data including historical exchange preferences, and a resource allocation scheme is obtained; the order sequence is integrated through a queue reordering mechanism, the order sequence is rearranged based on the resource allocation scheme, a final processing sequence is obtained, the high-priority request is preferentially executed, and the queue stability is maintained; if there is a remaining conflict in the final processing sequence, a standby resource set scheduling mechanism is used to extract supplementary resources from a pre-device inventory, a complete execution plan is obtained, and the plan covers all order processing paths; based on the complete execution plan, the order processing progress is monitored, the real-time state is fed back through progress tracking and abnormality detection, iterative adjustment is performed, and a stable running order flow is obtained.

The invention discloses a factory production management method and device. The method comprises the following steps: periodically acquiring process parameter data of a plurality of pieces of production equipment in a target factory, the total number of real-time to-be-processed products, a first production environment state and a first processing state sequence; analyzing the first processing state sequence and the first production environment state of each piece of production equipment by utilizing a productivity prediction model to obtain an estimated processing product quantity of each piece of production equipment in the next period of the target period; and when the total number of the real-time to-be-machined products of the target production equipment is higher than the estimated number of the to-be-machined products, analyzing the process parameter data of each production equipment and the total number of the real-time to-be-machined products by using the production scheduling decision model to obtain a target production scheduling strategy with the highest production efficiency, and controlling the target factory to perform production according to the target production scheduling strategy. The technical problem that the factory production efficiency and the resource utilization rate are low due to the fact that a production scheduling strategy formulated by a static production scheduling method lacks the sensitivity of real-time change is solved.

The application discloses a constant-temperature clean room design method and system and a storage medium, and the system comprises a scheme data acquisition module, a simulation model building and calculation module, a simulation result evaluation module, a scheme optimization adjustment module and a scheme comparison and output module. The simulation model of the clean room is established, the simulation result analysis and the temperature design effect judgment of the scheme are determined, the temperature distribution degree of the clean room under different schemes can be accurately quantitatively analyzed, the influence of different scheme measures on the temperature distribution effect can be reflected in time, and adjustment is made according to the simulation result. Compared with the traditional method, the dynamic design of the high-precision constant-temperature laboratory can be better realized.

This invention discloses a robust resource allocation method, system, terminal, and storage medium based on a sensor-integrated design. The method includes: acquiring a sensing echo signal and a communication signal, and generating a first time slot signal based on the sensing echo signal and the communication signal; amplifying the first time slot signal to obtain a second time slot signal; determining initial variables based on the second time slot signal, and performing alternating optimization processing on the initial variables to obtain a nominal optimal solution; calculating an uncertainty vector based on the nominal optimal solution to obtain a channel uncertainty vector, and determining a preset robustness constraint; if the channel uncertainty vector satisfies the preset robustness constraint, then generating a communication resource allocation result. This invention, by employing a sensor-integrated system design scheme combining robust optimization technology, can ensure the reliability and performance of the communication system under environments with incomplete or inaccurate channel information.

This invention relates to the field of electronic digital data processing technology, and discloses a room calibration triggering method, apparatus, device, and storage medium to improve the accuracy of room calibration triggering. The room calibration triggering method includes: acquiring the current acoustic signal and auxiliary decision-making information related to the current acoustic environment, and analyzing the audio content features based on the current acoustic signal; the auxiliary decision-making information includes the current usage scenario, user identity, and environmental context information; extracting the current acoustic fingerprint based on the current acoustic signal; matching the corresponding benchmark acoustic fingerprint from a dynamic benchmark fingerprint database based on the current usage scenario and user identity; calculating the target fingerprint difference between the current acoustic fingerprint and the benchmark acoustic fingerprint by combining the environmental context information and audio content feature information; determining whether the calibration triggering conditions are met based on the target fingerprint difference; and performing either a lightweight calibration or a full calibration if the calibration triggering conditions are met.

This invention discloses a method and system for monitoring and maintaining tower operations, belonging to the field of tower operation and maintenance monitoring. The method includes the following steps: S1: basic monitoring data acquisition; S2: edge-side data cleaning and initial screening; S3: global data spatiotemporal standardization; S4: cross-modal feature fusion and defect identification; S5: result integration and application. By constructing a multimodal perception network including a lidar sensor, a high-definition industrial camera, and an inertial measurement unit, the sensor deployment location and time-triggered synchronization protocol are clearly defined, and geometric, texture, attitude, and environmental data are collected synchronously to achieve comprehensive multi-dimensional data coverage. Through global data spatiotemporal standardization processing, a global coordinate system is established with the tower bottom as the origin. By retrieving historical operation and maintenance archives from the cloud, operation and maintenance strategies are generated based on a similarity threshold, and the current monitoring data, identification results, and strategies are written back to the historical archives to update the tower health status database.

The application discloses a kind of based on FPGA's NVMe host controller hardware unloading device, include: MicroBlaze initialization configuration module, for initialization configuration to system after power on;I / O queue processing module, for command segmentation, encapsulation, distribution and doorbell register maintenance etc.;Master AXI bus control module, for the doorbell value is packed into AXI data package and is submitted to NVMe SSD;From AXI bus control module, for SSD read-write transaction is converted into SQE / PRP reading, data read-write, CQE writing and interrupt submission etc. Operation;Data buffer DMA module, for data in data buffer according to base address and length is read-write handling.The based on FPGA's NVMe host controller hardware unloading device of the application, NVMe protocol stack is unloaded by FPGA hardware, uses hardware to realize NVMe protocol stack in, such as queue management, data transmission and interrupt processing, to optimize resource allocation, break through the performance bottleneck of existing software implementation NVMe protocol stack scheme, more fully utilize the bandwidth of NVMe SSD.

The invention discloses a multi-network card equipment identification method and device. The method comprises the following steps: continuously sending a fixed load request to all network ports in an enterprise; receiving a data packet returned by each network port through a TCP protocol; the data packet carries timestamp information; calculating the timestamp progressive rate of each network port by using the timestamp information; and determining whether the plurality of network ports are from the same server or not according to the similarity of the timestamp progressive rates of the plurality of network ports. According to the invention, the problem of repeated asset recording caused by the fact that multiple network cards of the same server belong to different networks can be solved, and the accuracy of enterprise network card identification is improved.