17 results about "Processing priority" patented technology

This disclosure provides an edge computing task offloading method and related equipment, relating to the field of computer technology. When applied to a terminal, the method includes: if it is determined that a computing task will be offloaded to an edge server, determining a trust value allocated by the edge server; the trust value reflects the degree of contribution of the terminal to the edge server, and / or the processing priority of the computing task of the terminal by the edge server; performing blockchain encoding based on the data of the computing task to be offloaded to the edge server and the trust value to obtain a target block, and uploading the target block to the blockchain network; the trust value is used to influence the difficulty of the proof-of-work in the blockchain encoding. Thus, by dynamically adjusting the trust value by the edge server and allocating task processing priorities according to the trust value, edge computing resources can be effectively managed, preventing the hijacking of computing power by malicious devices, and ensuring the fairness of task offloading and the stability of the system.

This invention provides a heat dissipation control method and system for multiple live streaming terminals. The method includes: acquiring current heat dissipation data and environmental data of multiple live streaming terminals, where the heat dissipation data is the device temperature and the environmental data is the ambient temperature; clustering the heat dissipation data corresponding to each live streaming terminal to obtain multiple clusters, and identifying abnormal heat generation clusters from these clusters; performing multi-dimensional feature analysis on each live streaming terminal in the abnormal heat generation clusters, prioritizing processing based on the analysis results and environmental data, and generating and distributing corresponding heat dissipation control strategies based on these priorities. This invention, through multi-timescale feature analysis and an ambient temperature correction mechanism, achieves accurate assessment and hierarchical heat dissipation control of the heat generation status of live streaming terminals, improving the intelligence and reliability of heat dissipation management.

This application relates to a service request processing method, a data storage system, an apparatus, and a computer device. The method includes: obtaining a queue priority cursor for a task queue to be processed; if the queue priority cursor is valid, processing high-priority service requests in the task queue according to the queue priority cursor until all service requests in queue elements with invalid priority cursors have been processed; obtaining the latest queue priority cursor for the task queue; if the latest queue priority cursor is invalid, processing low-priority service requests in the task queue. This method can significantly reduce the processing latency of services with low latency requirements, thereby improving service processing quality at the protocol transmission layer during the processing of different service requests.

The application relates to the technical field of engineering supervision, and discloses a mobile terminal-based whole-process digital management and control method for engineering supervision, which monitors construction deviation events of a current engineering node, acquires a problem tracking record set and a rectification resource available capacity set related to an engineering project, and extracts a node problem characteristic parameter group; according to the node problem characteristic parameter group and the rectification resource available capacity set, a problem processing priority index is determined, and an initial rectification scheme item is generated based on the node problem characteristic parameter group; the initial rectification scheme item is subjected to resource constraint verification, an executable rectification scheme item is obtained, and the executable rectification scheme item is issued to terminals of all parties of the project; rectification process state information flow is analyzed, and a rectification effect evaluation value is obtained; the node problem characteristic parameter group is subjected to parameter weighted updating according to the rectification effect evaluation value, an updated problem characteristic parameter group is obtained, the problem closed loop efficiency and the engineering quality management and control level are improved, the rectification scheme is automatically pushed to all parties of the project, and linkage management and control of progress and supervision is realized.

The application relates to a software problem tracking processing system based on data processing, and relates to the technical field of software processing, wherein a problem receiving module is used for receiving a software problem information package submitted by a user end; a problem analysis module is used for analyzing and classifying the software problem information package to obtain a problem type and a processing priority; a problem allocation module is used for matching a processing personnel according to the problem type, the processing priority and a processing personnel information base; a problem processing module is used for enabling the processing personnel to check the software problem and recording a processing process and a result; a problem feedback module is used for sending the processing result and a processing scheme to the user end which submits the software problem and visually displaying on the user end; and a data statistical module is used for statistically processing the number, the type and the processing time of the software problem and drawing a table and sending to an external display device.

This invention provides a method and system for managing the progress of procurement projects, including: acquiring an initial procurement data package and real-time node data; determining a procurement cooperation order and at least one supplier information based on the initial procurement data package; the initial procurement data package being text data containing product names; extracting planned node data based on the procurement cooperation order and supplier information; obtaining a progress status based on the real-time node data and the planned node data; the progress status including progress ahead of schedule, progress on schedule, and progress behind schedule; adjusting the processing priority based on the progress status of the project, and obtaining the adjustment node based on the priority. This application ensures that key projects with delayed progress are given priority, improving the overall execution efficiency of procurement projects; it establishes a systematic initial data processing mechanism, with multi-step verification steps set up from the initial procurement data package to the generation of the procurement price list, supplier list, and procurement cooperation order.

The application discloses a post-failure processing method and system for an unmanned mine car, a storage medium and a computer device, and the method comprises the following steps: when a fault diagnosis system receives fault data reported by any functional system of the unmanned mine car, the fault diagnosis system determines a corresponding target fault processing measure from preset fault processing measures according to the fault data, and sends the target fault processing measure to an unmanned system; the unmanned system receives a plurality of target fault processing measures, generates a to-be-executed measure list according to the plurality of target fault processing measures, and executes the to-be-executed measures in the to-be-executed measure list in sequence based on processing priorities of the to-be-executed measures. The application guarantees the timeliness of fault processing after the unmanned mine car fails, and guarantees the accuracy of fault processing, so that the safety of the unmanned mine car is greatly improved.

The application provides a cloud server load balancing method and system based on client computing power cooperation, relating to the technical field of client computing power cooperation, wherein the method comprises: first acquiring video analysis tasks of a cloud server, real-time video streams and state data of clients, and historical load data. Content feature information is extracted from the video stream through a lightweight convolutional network, and then an attention mechanism is used to analyze the key of the video frame to generate a processing priority label sequence. At the same time, based on a load prediction model of a long short-term memory network, the future computing power availability quantitative value of each client is predicted according to historical and real-time data. Then the video task is decomposed into multiple computing slices, and the slices are dynamically arranged and distributed according to the priority label and the computing power prediction value, finally realizing efficient computing power cooperation and load balancing between the cloud server and the client. The application improves the distribution efficiency of cloud video processing tasks and the utilization effect of client computing power resources.

The application relates to the technical field of production line automation detection, and provides a centralized distribution method, equipment and medium for production line detection. The method comprises the following steps: obtaining sorting information of each to-be-detected board entering a corresponding sorting machine of a production line, wherein the sorting information at least comprises an entering time corresponding to the to-be-detected board; obtaining idle information corresponding to the sorting machine, wherein the idle information at least comprises a current idle layer number; determining a processing priority of each to-be-detected board according to the sorting information corresponding to the to-be-detected board and the current idle information corresponding to the sorting machine; obtaining a current working state of each maintenance station corresponding to the production line; the current working state at least comprises an idle state and a busy state; and distributing each to-be-detected board to a corresponding maintenance station according to the processing priority corresponding to the to-be-detected board and the current working state of the maintenance station.

This application provides an interaction method, apparatus, device, and medium that can be applied to the field of artificial intelligence technology. The method includes: responding to user input information; determining the processing priority of the input information based on its characteristics, including intent information, domain information, and processing timeliness requirements; determining a target retrieval scope for searching a memory bank based on the processing priority, wherein multiple memory modules in the memory bank store memory information about the user, the memory information being obtained from the user's historical input information, and each memory module having a hardware performance level and an importance level for storing the memory information, and the target retrieval scope including at least one memory module; retrieving memory information within the target retrieval scope in the memory bank based on the input information to obtain target memory information matching the input information; and generating and outputting response information using the target memory information in response to the input information.

This disclosure relates to an event synchronization method and system, a programmable control interface device, and a medium. An event synchronization method is provided, comprising: receiving configuration instructions from a CPU unit by an interface control module of a programmable control interface device, and storing configuration parameters in the configuration instructions to a configuration storage module of the programmable control interface device; receiving event signals sent in real time by multiple asynchronous acceleration units during operation by an event synchronization module of the programmable control interface device, and extracting event information from the event signals; generating an event synchronization control signal by the interface control module based on synchronization rules stored in the configuration storage module, configuration information and processing priorities of the multiple asynchronous acceleration units, and the event information extracted by the event synchronization module; and sending a trigger signal to a target asynchronous acceleration unit according to the event synchronization control signal to trigger the target asynchronous acceleration unit to perform a corresponding operation.

An information processing device generates a substrate processing schedule for sequentially performing respective processes on a predetermined number of substrates in a substrate processing device. The information processing device includes a substrate processing time acquisition part which acquires polishing time and finishing time based on recipe information; a transport processing time acquisition part which acquires transport time; and a schedule generation part which generates a substrate processing schedule by setting a processing order condition, a simultaneous processing condition, a transfer processing priority condition which specifies that a pre-polishing transfer process is prioritized over a post-polishing transfer process as constraint conditions for mathematical optimization, setting final processing end time for a final substrate being the shortest as an objective function of the mathematical optimization, and performing the mathematical optimization which determines start timings of the respective processes.

This application discloses a fault handling method, apparatus, system, and computer-readable storage medium. The method, applied to a computer system, includes: upon detecting a target fault, acquiring target data related to the target fault and obtaining an initial processing priority for the target fault from configuration information; adjusting the initial processing priority of the target fault based on the target data; and processing the target fault according to the adjusted processing priority. Through these methods, this application ensures that relatively important or urgent target faults are handled preferentially and promptly, improving the efficiency and reliability of fault handling.

This application discloses a control method, device, and storage medium for laser cutting path planning, relating to the field of laser cutting technology. The method includes: discretizing the geometric contour data of the part to be processed to obtain node clusters and candidate puncture nodes; combining processing priority constraints and virtual starting nodes to construct a generalized cost matrix; performing two-segment decoding on each encoded population to obtain the target puncture point and cutting access order of the part corresponding to the encoded population; determining elite individuals based on the generalized cost matrix, the target puncture point, and the cutting access order; using the elite individuals as initial solutions, adjusting the neighborhood search intensity, and performing local path optimization on the initial solutions according to cascaded neighborhood operators to obtain the target cutting path. This application solves the problem of poor path planning by constructing a generalized cost matrix, using two-segment encoding and decoding, and adaptive neighborhood optimization, achieving globally optimal planning of the laser cutting path.