117results about How to "Raise priority" patented technology

The invention discloses a cloud computing task storage and computing resource intelligent scheduling method based on an adaptive graph neural network. The method comprises the following steps: S1, constructing a cloud computing basic information set; s2, constructing a graph neural network model of tasks and resources; s3, using the cloud computing basic information set to initialize the graph neural network model; s4, gradually optimizing a resource allocation strategy of the task; s5, updating the embedded vector of the task node based on the optimized graph neural network model; s6, scheduling computing resources and storage resources in real time according to the task priority and the generated resource allocation decision; s7, dynamically updating the embedding vector and the resource allocation decision of the task node; and S8, optimizing the distribution efficiency of storage and computing resources in the cloud computing environment. The resource utilization rate of the system is improved by about 18%, and meanwhile the task execution success rate is improved by about 9%.

The invention relates to the technical field of metal pressing, in particular to a precise mold manufacturing method for gearbox parts, which comprises the following steps: automatically feeding at an initial feeding speed and detecting raw materials; feeding is conducted at the initial pushing frequency, and the raw materials are conveyed into a first station, a second station and a third station; the pressure borne by the raw materials in any station is calculated, the machining working condition is judged, and machining parameters are adjusted according to the machining working condition; according to the number of the stations not meeting the working conditions, whether the material of the to-be-machined raw material changes or not is judged, the deformation coefficient of the raw material is calculated, and the initial pressure value of a stamping head is correspondingly adjusted; according to the adjustment condition of the machining parameters of the stamping head, whether the adjusted machining efficiency meets the machining requirement or not is judged, the stamping duration difference value between the procedures is calculated, and the stamping period, the circulation period and the pushing frequency are correspondingly adjusted; and the workpieces are conveyed to the discharging opening to be discharged. The precision of the gearbox part manufacturing process is improved by conducting multi-station automatic machining on raw materials.

The invention relates to the technical field of course early warning, and discloses an intelligent course early warning system for a ship. According to the system, navigation data of all time points of a ship, image data of all time points of a navigation area and meteorological data of all time points of the navigation area are obtained through a multi-dimensional data module and are classified to form a data set, and an intelligent evaluation module identifies and monitors abnormal targets in the data set through an image processing technology. The multi-dimensional data of the abnormal target is comprehensively evaluated, if the abnormal target does not exist in the monitoring data set, the change speed of the seawater color is analyzed, the corresponding abnormal data set is generated, the accuracy of comprehensively evaluating the abnormal target is high, the intelligent evaluation module analyzes the monitoring index in the ship navigation process in real time, and the real-time monitoring safety is high. According to the method, the danger degree of the abnormal target in the short-distance range of the ship body, the change degree of ocean current in the navigation area and the safety of the ship navigation state are judged, corresponding early warning signals and navigation suggestions are generated, and real-time monitoring and early warning are more timely and effective.

The invention discloses a task resource dynamic adaptive scheduling method, an automobile electronic physical system and an automobile, and relates to the field of artificial intelligence. The task resource dynamic self-adaptive scheduling method comprises the following steps: in each round of scheduling process, calculating an uplink sequence value and scheduling relaxation time of each task in real time; performing dynamic sorting based on the uplink sequence values and the scheduling relaxation time of the tasks, and outputting a priority list of the tasks; selecting a preset number of tasks from the priority list of the tasks and adding the tasks into a to-be-executed task list; and allocating processors to the tasks in the to-be-executed task list, and executing the corresponding tasks by the allocated processors. According to the task resource dynamic self-adaptive scheduling method, the real-time requirement of task resource scheduling can be met under the condition that task release is uncertain, and the overall efficiency of task scheduling is improved.

The embodiment of the invention relates to the technical field of automobile braking, and discloses an automobile braking resource management method which comprises the following steps: receiving vehicle driving state information monitored by a sensor module in real time; according to the monitored vehicle driving state information, whether the vehicle has a braking demand or not is determined, if not, monitoring continues, and if yes, the next step is executed; the priority of the braking force distribution algorithm in the computing resource distribution module and the task scheduling module is improved, so that the braking force distribution algorithm obtains corresponding computing resources; the braking force distribution calculation is carried out according to the vehicle driving state information monitored in real time and a braking force distribution algorithm so as to determine the braking force of each wheel, and the vehicle driving state is controlled according to the braking force of each vehicle. According to the scheme in the embodiment of the invention, the driving safety can be effectively improved.

The invention provides a pipeline valve verification Internet of Things system and method based on intelligent gas safety supervision, and the method comprises the steps: generating a second verification instruction based on a flexible verification batch and a first verification instruction; performing second verification on the gas pipeline and the pipeline valve to obtain a second verification result; based on the first verification result and the second verification result, a to-be-maintained valve is determined; based on the to-be-maintained valve, work order information is determined; determining a work order distribution instruction based on the work order information; and generating a parameter adjusting instruction. The Internet of Things system comprises an intelligent gas government safety supervision management platform, an intelligent gas government safety supervision sensing network platform, an intelligent gas government safety supervision object platform, a gas company management platform, a gas company sensing network platform, a gas equipment object platform and a gas equipment maintenance object platform. According to the method, the to-be-maintained valve with potential safety hazards can be quickly and accurately positioned, and the monitoring frequency of the valve is enhanced before the valve is maintained, so that the gas use safety is ensured.

The invention relates to the technical field of data transmission, in particular to an intelligent emergency calling method and system. The method comprises the following steps: when an emergency event occurs, detecting potential bottleneck and congestion in a network, analyzing a current available transmission path based on real-time network data, evaluating the quality and priority of the path, and collecting real-time emergency data at the same time; distributing the emergency data to corresponding network slices through a predefined slicing strategy; and after the network slices are distributed, detecting the demand of emergency data traffic, evaluating the real-time slice capacity, judging whether the resources in the slices meet the demand of the emergency data traffic, and if the resources in the slices do not meet the demand of the data traffic, performing adjustment according to the real-time condition of the slices. According to the intelligent emergency response method and system, it can be ensured that the key task data can preferentially obtain necessary resources under the emergency condition, interference of low-priority data is avoided, and it is ensured that the key task data can be reliably transmitted.

The invention relates to the technical field of communication, and provides a short message traffic anomaly prediction and early warning method and device, and a storage medium. The method comprises the following steps: predicting the short message traffic of a target area in a preset time period based on a preset target short message traffic prediction method to obtain target short message traffic prediction data information; judging whether the short message traffic of the target area in the preset time period is abnormal or not based on the target short message traffic prediction data information; if yes, generating a short message processing mechanism of the target area in the preset time period based on the target short message traffic prediction data information; and processing the short message request in the target area within the preset time period based on the short message processing mechanism. According to the method, when the short message flow is abnormal, it is ensured that the short message request with the high priority is processed preferentially, and the situation that the short message is discarded when the short message gateway is overloaded is effectively avoided.

The invention provides a voice communication method and device, a terminal and a storage medium, and belongs to the technical field of computers. The method is executed by a terminal, and the method comprises the steps that in the process of performing a target voice call, the network quality of a wireless network is determined, the target voice call is a voice call established through voice Vowifi based on wireless fidelity, the wireless network is used for transmitting a data packet of the target voice call, and voice data of the target voice call is packaged in the data packet; under the condition that the network quality of the wireless network is lower than a quality threshold value, the priority of the data packet of the target voice call is improved from the first priority to the second priority; and transmitting the data packet of the target voice call according to the second priority through the wireless network. According to the scheme, the priority of the data packet of the voice call can be improved under the condition that the network quality of the wireless network is relatively poor, and the data packet of the voice call can be preferentially sent out, so that the call quality of the voice call is improved.

The invention provides an extensible efficient scheduling method suitable for an RDMA network mixed message scene, and belongs to the technical field of computer network system flow control. The method comprises the following steps: S1, designing a priority scheduler: dynamically distinguishing small messages from tiny messages according to the load size of a working queue element, and allocating higher priorities to the small messages to maximize the utilization rate of a data path and reduce the additional delay of a control path caused by cache miss; s2, integral limiter design: adopting a heuristic current limiting strategy for the tiny information, and reducing extra delay of a control path caused by frequent cache miss of the tiny information; and S3, designing a sub-message polling device: pre-generating sub-completion queue elements for small messages and micro messages, ensuring that an application program schedules working queue elements at a proper rate, and fully utilizing a sending queue to relieve excessive queuing delay and reduce the frequency of cache miss of the working queue elements. Compared with the prior art, the method effectively solves the problems that the throughput of the RDMA network of the data center is severely reduced and 99% tail time delay of the message is greatly increased in a high-concurrency scene of the message.

The embodiment of the invention discloses an equipment connection method and related equipment. The method provided by the embodiment of the invention comprises the following steps: receiving a plurality of scanning requests, wherein the plurality of scanning requests are respectively sent by one or more scanning devices with an accelerated discovery characteristic; performing priority ranking on the plurality of scanning requests according to a preset algorithm to obtain a preferred ranking queue; and responding to the target scanning request in the preferred sorting queue according to the priority order so as to establish connection with scanning equipment corresponding to the target scanning request.

The invention discloses a task scheduling method and device for a target operating system and a storage medium, and the method comprises the steps: searching a first interrupt task in a ready task queue if the target operating system receives a clock interrupt request; the first interrupt task is a periodic scheduling task obtained based on the clock interrupt request, and the priority of the first interrupt task is higher than that of the first remaining task; scheduling the first interrupt task to start execution; in the execution process of the first interrupt task, if the priority of the second interrupt task is higher than that of the first interrupt task, the state of the first interrupt task is updated to be a suspended state; the second interrupt task is a scheduling task acquired in real time; updating the state of the second interrupt task into a running state, and scheduling the second interrupt task to start execution; and if the execution of the second interrupt task is completed, obtaining an executable task in the ready task queue. The real-time performance, safety and flexibility of the target operating system are improved.

The invention discloses a point spread function optimization method for a multispectral compression imaging system, and the method comprises the steps: constructing two optimization objective functions of the multispectral compression imaging system, and proposing a corresponding multi-objective optimization algorithm; wherein one objective function is used for evaluating light transmission performance, and the other objective function is used for evaluating cross-correlation characteristics among multiple spectrums; the optimization algorithm is based on an NSGAII algorithm, and compared with a traditional genetic algorithm, records of dominating times are introduced, so that the calculation complexity of a sorting process is effectively reduced; an elite strategy is introduced, a screening mechanism is introduced for individuals participating in heredity, and the heredity process is optimized. And the optimized system point spread function can transmit more perfect space and spectrum information to a greater extent, so that the subsequent reconstruction precision can be improved.

The present invention discloses a message transmission method, system, switch, medium and product, and relates to the field of communication technology. According to the current bandwidth utilization of the network link, the remaining bandwidth utilization is determined, and then the network link priority is obtained by sorting the network link according to the current remaining bandwidth utilization. The network link priority is related to the path congestion degree. The higher the network link priority, the lower the path congestion. Based on the number of queues, the number of network links and the corresponding message priority and network link priority, the actual flow of the message is added, and the high-priority message is fully allocated to the path with lower congestion to avoid packet loss. At the same time, combined with the actual flow of the message, the allocation path is more accurate, and the reliability and security of the allocation path are improved.

The invention provides a sensitive information identification early warning method and system based on a short video and a medium, and relates to the technical field of information identification, and the method comprises the steps: converting audio data into text data; extracting image features and text features, and performing matching association to form a plurality of image-text feature clusters; obtaining the overlap ratio between the image-text feature clusters, converting the overlap ratio into the overlap ratio of the features in each image-text feature cluster, carrying out weight reduction on the image features and the text features with high overlap ratios in the image-text feature clusters, and carrying out feature fusion; sequencing the image-text feature clusters from small to large according to the overlap ratio, and determining a key feature cluster sequence; and sequentially inputting the fused features into a sensitive information identification model for identification until sensitive information is identified. According to the method, feature association in time sequence and repeated feature data weight reduction are performed on the multi-modal data extracted from the short video, so that the concealment feature information of the sensitive data is amplified, and the accuracy of judgment and recognition is improved.

The embodiments of the present application disclose a network search method, an electronic device, a chip and a storage medium. The network search method includes: when preparing to initiate a data service, detecting the real-time status corresponding to the network search timer; if the real-time status is running, determining the current resident network; setting the network search duration according to the current resident network, and performing network search processing according to the network search duration and a preset network priority list; if a first network is obtained through the network search processing, switching to the first network and processing the data service through the first network; wherein the priority of the first network is greater than the priority of the current resident network.

The invention relates to the technical field of data transmission, in particular to a processing and risk assessment method and device for mass files and asset data and a medium, and the method comprises the steps: dividing to-be-processed mass files and asset data into a plurality of data clusters; based on a duration evaluation algorithm and a risk evaluation model, calculating the expected total processing duration and the risk level of each data cluster, and processing each data cluster according to the expected total processing duration and the risk level; performing real-time feature extraction and vectorization representation on the asset data, and matching asset features with a risk information feature library to identify and evaluate the risk of the asset features; when it is monitored that the data cluster transmission state or asset data analysis is abnormal, an auxiliary processing thread is started to continue executing the next task in the data cluster, the average processing speed of the corresponding data cluster is updated, and the total processing duration of the remaining tasks is evaluated again. Therefore, the data processing efficiency and the data security of the power system are improved.

The invention discloses a side slope tiny deformation monitoring system and method based on wireless optical communication, and belongs to the technical field of side slope deformation detection.The side slope tiny deformation monitoring system comprises a power module, a shielding module, an optical signal coding module, a laser transmitting module, a laser receiving module, an optical signal decoding module and a wireless communication module; the micro deformation degree of the side slope is judged according to the optical signal receiving deviation degree of the laser transmitting module and the laser receiving module, micro deformation monitoring of the side slope is achieved, the monitoring result of the micro deformation of the side slope is uploaded to an external upper computer through the wireless communication module for data storage, and the shielding module is used for shielding the micro deformation of the side slope. The laser transmitting module and the laser receiving module are covered, and interference of the external environment on optical communication is reduced. According to the invention, based on wireless optical communication, the micro deformation monitoring result of the slope can be timely and directly sent to the upper computer for statistical storage, the data volume transmission pressure is small, the data processing is convenient, different deformation grades can be divided, and a manual inspection strategy is convenient to formulate.

The application relates to the technical field of automobile transmission shaft production, in particular to a safety management system for automobile transmission shaft production based on big data, which comprises a data acquisition module, which is used for collecting production parameter data, environment parameter data, operator behavior data and quality inspection data of multiple production devices in the automobile transmission shaft production process in real time, and constructing an original safety data set; a big data processing platform, which is in communication connection with the data acquisition module, is used for cleaning, fusing and standardizing the original safety data set, and generating a standardized safety data set; a safety risk research and judgment module, which is connected with the big data processing platform, is used for storing a dynamic safety threshold model, and identifying abnormal states and safety risks in the transmission shaft production process in real time based on the standardized safety data set, and outputting quantitative research and judgment results; the safety risk research and judgment module realizes the whole domain monitoring, hierarchical early warning, millisecond-level emergency shutdown and closed-loop control of the transmission shaft production safety, and significantly improves the response speed and management efficiency.

The utility model discloses an air-cooled cooking utensil which comprises a pot body and a pot cover covering the pot body, the pot body comprises an outer pot and an inner container arranged in the outer pot, a cooling fan is arranged on the side wall of the pot body, and a food amount mark is arranged on the side wall of the inner container. The food quantity mark comprises a minimum marking line, a maximum marking line and a median line located between the maximum marking line and the minimum marking line, and at least part of the area, projected towards the inner container, of the air outlet of the cooling fan is located above the median line so as to blow air flow to the area above the median line. In the pressure reduction stage of the cooking process, part of air flow blown out by the cooling fan flows towards the area above food in the inner container, so that the air flow preferentially makes contact with the area, above the food materials, of the inner container for cooling, and an original heat transfer route is changed from water vapor in the inner container to the food in the inner container to the side wall of the inner container to cold air. And water vapor in the inner container, the side wall of the inner container and cold air are adjusted, so that a heat transfer path is shortened, the temperature of gas in the inner container can be quickly reduced, and quick pressure relief is realized.

The invention provides a test case risk grade division method and device based on a graph algorithm, which can be used in the financial field or other fields, and the method comprises the following steps: obtaining a test case and corresponding transformation function information thereof, and preprocessing the test case and the transformation function information to obtain test case information; according to a graph algorithm and a preset corresponding relation between risk levels and directed line segments, processing the test case information to generate a test case directed graph; traversing the test case directed graph by using a graph traversal algorithm, and performing risk labeling on the test cases in the test case information according to a preset risk division rule; and according to the risk annotation corresponding to the test case, performing correctness judgment on the preset risk level corresponding to the test case to obtain a test case risk level division result. According to the method, the test cases with inaccurate risk grade division are identified in time, the priority of the high-risk test cases is improved, and the risk that the system operation is influenced due to insufficient test is reduced.

The invention relates to a network topology service path calculation method and device for access type OTN equipment, and belongs to the technical field of service path calculation, and the method comprises the steps: carrying out the path calculation of all access type OTN equipment in a network, and obtaining all paths; screening all the paths according to whether the resources are available or not to obtain available paths; determining a primary path from the available paths; judging whether a standby path is needed or not according to the parameter entering condition; and if the judgment result is that the standby path is needed, determining the standby path from the available paths. According to the method, all the paths are calculated at a time, the available paths are obtained through screening, and the main path and the standby path are automatically selected from the available paths according to priorities or necessary conditions; the overall user self-selected data priority is the highest, the main path and the standby path give consideration to the existing protection group relation, and the main path and the standby path networking condition, the link chain state, the main port and standby port different board card priority in the chain networking, the shared link risk group and other conditions jointly determine the automatically selected main path and standby path.

The embodiment of the present invention provides a method and device for data processing, which is applied to a first official document management system, wherein the method includes obtaining first task plan information of a first user for a task to be completed; determining second task plan information of a second user associated with the first user for the task to be completed based on the user authority information of the first user; wherein the priority of the second task plan information is higher than the priority of the first task plan information; determining whether the first task plan information matches the second task plan information; and when determining that the first task plan information does not match the second task plan information, adjusting the first task plan information based on the second task plan information. Through the embodiment of the present invention, it is possible to check the task plan formulated by the user to ensure the rationality of the plan.

The utility model relates to the technical field of electrolyzers, and discloses an electrolyzer taking an air electrode as a cathode, which comprises an electrolytic bath body, an electrolytic tin ingot block is arranged in the electrolytic bath body, the electrolytic tin ingot block is electrically connected with a positive electrode of a direct current power supply through a first copper wire, and a group of vertical through holes are arranged on the electrolytic tin ingot block. The air electrode is rolled into a cylinder shape and placed in the through hole, the top of the air electrode is exposed above the electrolytic tin ingot and electrically connected with the negative electrode of the direct-current power source through a second copper wire, and the bottom of the air electrode is flush with the bottom of the electrolytic tin ingot. The air electrode is used as the cathode, the cathode does not generate hydrogen, so that the device is more energy-saving, environment-friendly and safe, the oxygen reaction priority of the cathode is higher than the side reaction generated by sponge tin, and the generation of the sponge tin is greatly reduced.

The application provides a communication method, an electronic device, a storage medium, a power supply, a lamp and a lighting system. The communication method is applied to a host computer, the host computer is connected with a plurality of slave computers, and the method comprises the following steps: a broadcast packet is sent to all the slave computers, the broadcast packet is used to indicate that the host computer is ready to extract information; after the broadcast packet is sent, a plurality of first cycles are performed; the plurality of first cycles are ended, and a plurality of information packets are accepted, the information packets are from the slave computers which have a message sending intention; wherein the first cycle comprises the following steps: a plurality of reporting identifiers are received, the plurality of reporting identifiers are from a subset of all the slave computers which have a message sending intention; an identification is formed according to the plurality of reporting identifiers, and the identification is sent to the slave computers in the subset. When the number of slave computer devices is large, the real-time response capability of the host computer is improved, and the experience of the master-slave system is optimized.

The present invention relates to a method and system for implementing customer service of a heating system based on complex demand analysis, and relates to the technical field of customer service management, including: based on a heating customer service platform, collecting object feature information of multiple heat-using objects in a heating system, performing heat priority analysis, and obtaining multiple heat priorities; screening sample data according to multiple heat priorities to obtain a heating demand analysis data set; using a heating demand analysis data set according to multiple heat priorities to train a heating demand analyzer; collecting current heat demand information of multiple heat-using objects, integrating and analyzing, and obtaining multiple heating parameters; setting multiple control orders, performing impact analysis and correction on multiple heating parameters, obtaining multiple corrected heating parameters, and performing customer feedback and heating control. The present invention achieves the technical effect of improving the efficiency and accuracy of complex heating demand analysis.

The invention relates to the technical field of data processing, and provides a consumption data display method, an electronic commerce platform and electronic equipment. The method comprises the steps that in response to a consumption data display request, a first consumption data display graph of a target application main body is constructed based on a target main body material and a target commodity material, and the first consumption data display graph is used for displaying a corresponding relation between the target application main body and a target commodity; adjusting a display effect of the target main body material or the target commodity material on the first consumption data display graph based on state data to obtain a second consumption data display graph; and returning the second consumption data display graph. On the basis, the second consumption data display graph is displayed to the user, so that the user can directly obtain the consumption condition on each target application main body according to the graph and obtain the state of the commodity according to the display result, the information is clearly displayed, and more reference values are provided.

The present invention discloses an instruction execution method of a digital signal processor and a digital signal processor, the instruction execution method includes: obtaining a target instruction and a peripheral clock enable signal of a corresponding peripheral unit; determining the instruction type of the target instruction through the instruction structure of the target instruction and a preset instruction setting condition; determining the signal state of the peripheral clock enable signal; executing a priority processing strategy when the instruction type is a priority instruction and the signal state is an enable state, the priority processing strategy includes: sending a companion core start signal to a priority processing unit, and sending a main core start signal to a main processing unit to start the priority processing unit to load and process the target instruction, and the main processing unit simultaneously processes the remaining instructions in the instruction set through a multi-stage pipeline sequence. The instruction execution method of the embodiment of the present invention can improve the instruction priority, accelerate the operation and processing of proprietary instructions, thereby improving the response speed and the processing capacity of the digital signal processor.