30results about How to "Raise priority" patented technology

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 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 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.

An edge flow-based hoisting equipment multi-source heterogeneous data acquisition and processing method. In view of the problems of low clock synchronization accuracy of hoisting equipment multi-source heterogeneous data, limited computing power of edge and unbalanced resource scheduling, through multi-protocol interface to access stress, vibration and operating parameters, after filtering and pretreatment, a high-precision hardware clock is set as a reference frame and a global timestamp is marked; for data with different sampling frequencies, non-uniform interpolation time series reconstruction is carried out by using cubic spline interpolation, linear interpolation and energy normalization extraction respectively, realizing strict alignment of multi-source data; the sliding window is used to dynamically intercept data stream, and the incremental principal component analysis and sequential SKL method are combined to extract low-dimensional principal component and reconstruction residual online, realizing lightweight feature extraction at the edge; a task urgency score model is constructed based on reconstruction residual, energy volatility rate and data waiting time, and when the score exceeds the threshold, the kernel priority is preempted, realizing priority transmission of key abnormal features.

The application relates to the computer technical field and discloses a beneficiation process recommendation method and device for ores and terminal equipment. The method comprises the following steps: obtaining a plurality of ore characteristic data of an ore to be recommended, processing the ore characteristic data through an ore characteristic model to obtain an ore semantic vector; screening a plurality of candidate ore samples from an ore semantic library based on the ore semantic vector, the similarity of the candidate ore samples and the ore semantic vector exceeding a similarity threshold, and the ore semantic library comprising a plurality of ore samples and beneficiation process flows corresponding to the ore samples; calculating the adaptation degrees between various sub-processes and the ore to be recommended based on the similarity and the occurrence frequencies of the various sub-processes in the beneficiation process flows corresponding to each candidate ore sample; and arranging and combining a plurality of target sub-processes in each sub-process based on the adaptation degrees to obtain a target beneficiation process flow adapted to the ore to be recommended. The method can realize an efficient closed loop from ore identification to process recommendation.

The application provides a dynamic scheduling method and system of a physical memory protection mechanism under a RISC-V architecture, and relates to the technical field of computers, and comprises the following steps: S1, accessing application memory under the dynamic scheduling support of the physical memory protection mechanism; and S2, maintaining the current effective application memory access permission configuration by using an LRU algorithm.The application can greatly reduce the probability of updating the PMP configuration and improve the running efficiency of the application.

The application provides a simulation running time prediction method and system, a storage medium and a program product, and relates to the technical field of model training. The original running time is logarithmically transformed to compress the time data into a smooth numerical space that is easier for model learning. Data cleaning provides a clean and representative data basis for model training. Standardization processing avoids interference of different parameter dimension differences on model weight learning. The convolutional neural network model has local perception ability and can automatically capture and learn deep patterns of strongly coupled parameter combinations from the standardized feature vector. Finally, the introduction of the Huber loss function ensures that the model can accurately fit normal samples and resist the interference of residual noise during the training process, and finally obtains a highly robust and generalizable prediction model.

The application relates to the technical field of big data, and relates to a city governance data search method and device based on a large model technology.The method comprises the following steps: acquiring historical city governance data and constructing a city governance special dictionary; acquiring a user search sentence, performing word segmentation processing to obtain a user search word set, determining a search intention and a core object in the user search word set according to an intention classification dictionary; converting the user search word set into a user search vector, performing data matching in a target database, and obtaining a plurality of search matching results; calculating the correlation similarity between the plurality of search matching results and the user search sentence, selecting search matching results with correlation similarity satisfying a preset correlation similarity threshold value from the plurality of search matching results, and obtaining a plurality of pending search matching results; scoring the plurality of pending search matching results according to a result scoring index system, and selecting a final search matching result according to the score. The application can improve the city governance data search efficiency based on the large model technology.

The invention discloses a real-time communication mechanism for an agricultural irrigation network, and relates to the technical field of real-time communication.The real-time communication mechanism comprises AINP message format confirmation, AINP data exchange confirmation and AIDE cloud data exchange.The method includes the steps that firstly, the unified format of data frames is defined through the AINP message format confirmation step; irrigation valve state and opening signals are collected and converted into corresponding data frames, node response is completed based on a master-slave response mechanism, validity of a frame format is verified through DCR verification, LORA wireless communication specifications of irrigation valve nodes and an AINP gateway are confirmed and set through AINP data exchange, and the verified data frames are transmitted to the gateway based on an AINP data exchange algorithm. Finally, AIDE cloud data exchange is carried out, monitoring data are read and written through a cloud algorithm and uploaded to the cloud, and the system has the advantages of being low in cost, high in interference resistance, good in compatibility and reliable in data and is adaptive to a large-scale intelligent irrigation network.

The application belongs to the technical field of intelligent transportation, and mainly provides a frequency point switching method and device, a terminal and a readable storage medium. The vehicle-mounted unit receives a first working mode configuration instruction sent by a first charging roadside unit located at an entrance of an extended service communication section, and enters a periodic switching frequency point working mode according to the first working mode configuration instruction until a second working mode configuration instruction sent by a second charging roadside unit located at an exit of the extended service communication section is received, and then enters a normal working mode. Therefore, the vehicle-mounted unit can smoothly complete the ETC charging function and the extended service function on a section where charging signals and extended service signals exist simultaneously, and the priority of the charging signals can be ensured to be higher than that of the extended service signals. Meanwhile, the communication quality of the vehicle-mounted unit is not affected by the environmental temperature, and the vehicle-mounted unit does not need to increase chips and components, so that the cost and size of the vehicle-mounted unit are not increased.

A bus-type flow amplification valve includes a hydraulic pump connected to an actuator via a main valve. The main valve is connected to a steering gear, which is connected to a steering wheel. The main valve includes a main valve core connected to the hydraulic pump via a priority valve and to the actuator via a buffer suction valve. Two control terminals of the main valve core are connected to a bus-type pilot module and also to the steering gear. This bus-type flow amplification valve, combined with the steering gear, enables hydraulic steering via steering wheel operation. Simultaneously, the bus-type pilot module, integrating a displacement sensor and an electro-proportional pressure reducing valve, allows for unmanned, remote-controlled steering, improving control accuracy, simplifying system wiring and control. Hydraulic steering via steering wheel has higher priority than electro-hydraulic steering, ensuring greater safety and reliability. The inclusion of a check valve and a back pressure valve achieves emergency steering and reduces impact.

This invention discloses a route planning system and method for seedling transport vehicles in farmland, belonging to the field of vehicle route planning. The system includes modules for seedling transport vehicle clusters and dynamic role switching, dynamic election of the lead vehicle, route resource allocation, and distributed collaboration. The seedling transport vehicles are equipped with positioning, communication, and task execution units. The operation is realized through a cyclical process of system initialization, route exploration feedback, route allocation, and dynamic updates. This invention can also realize dynamic role switching and professional division of labor for seedling transport vehicles. The lead vehicle has both scheduling and transportation functions. Distributed collaboration eliminates the dependence on central scheduling. A route priority incentive mechanism is established with on-time delivery rate as the core. Dynamic election of the lead vehicle ensures the continuity of collaboration, greatly improving the efficiency of vehicle group operation and resource utilization. It is suitable for unstructured farmland environments and meets the needs of intelligent agricultural machinery for cost reduction and efficiency improvement.

Vehicles and related systems and methods for controlling vehicles in autonomous operating modes are provided. One method involves a controller associated with a vehicle: identifying a visual attention state associated with a driver of the vehicle based at least in part on output of an imaging device on the vehicle; determining a driver lane preference corresponding to a neighboring lane of a current travel lane of the vehicle relative to the vehicle in a direction of the visual attention based at least in part on the visual attention state; adjusting a priority associated with the neighboring lane corresponding to the driver lane preference; and autonomously operating one or more actuators on the vehicle to initiate maneuvering the vehicle from the current lane in a manner influenced by the adjusted priority associated with the neighboring lane.

The application discloses a kind of information intelligent acquisition method and system based on scene design feedback, it is related to scene intelligent information acquisition technical field, including establishing scene three-dimensional model obtains scene domain, based on element division rule to element division to obtain element set Scene domain;Based on event generation mechanism generates dynamic event, sets the dynamic interface of element set, for receiving dynamic event and feedback dynamic feedback data;Based on dynamic feedback data generation interface heat map, for reflecting the activity of dynamic interface;Based on activity dynamic adjustment of dynamic feedback data acquisition frequency, dynamic feedback data is input into feedback database, and multiple data groups are generated by analysis;Based on the connection between element set Generation element graph, based on element graph analysis data group generates scene optimization plan;The application realizes real-time accurate regulation and control to data acquisition and transmission process by the synergistic effect of dynamic valve control, interface heat map and element graph.

The application belongs to the technical field of circuit breaker testing, and particularly relates to a circuit breaker mechanical property testing system and method based on a star flash SLB, which comprises a communication-connected handheld terminal master module, a three-phase property testing terminal slave module, a dynamic property testing terminal slave module and a control terminal slave module, wherein the communication connection is specifically wireless communication connection through a star flash SLB network complying with the star flash wireless communication system standard; the handheld terminal master module is a management node of the testing network, is used for distributing a time synchronization reference, scheduling network resources and uniformly distributing testing instructions; the three-phase property testing terminal slave module, the dynamic property testing terminal slave module and the control terminal slave module are terminal nodes of the testing network, are used for receiving the instructions of the handheld terminal master module, synchronously executing data collection or control operation based on a unified time reference, and returning result data to the handheld terminal master module. The problems of complex wiring, low efficiency and insufficient synchronization accuracy in traditional testing are solved.

This application discloses a clutch disengagement control method and related apparatus. Based on the vehicle's operating conditions, a target disengagement speed threshold is obtained for the clutch to enter the disengagement control phase. This target disengagement speed threshold is determined based on the torque of a target object, which is a higher-priority object among multiple objects under operating conditions. These multiple objects include the engine and the clutch. If the speed of the target object is lower than the target disengagement speed threshold, the clutch is controlled to enter the disengagement control phase, which includes multiple disengagement sub-phases. During the disengagement control phase, based on the actual operating conditions of the engine and clutch, the clutch is controlled to enter the corresponding disengagement sub-phase, and coordinated control of the engine and clutch is performed during these sub-phases. This application achieves coordinated control of the clutch and engine, avoiding drivability issues, preventing stalling risks, and improving safety.

This invention discloses a gesture detection method and system based on an improved DEIMv2-Nano, relating to the fields of human-computer interaction and computer vision. The method acquires gesture images and divides them into training and test image sets. It then optimizes the structure and training strategy of the existing DEIMv2-Nano model: an SL-CSPLayer2 fine-grained feature enhancement module is added to the feature extraction network; an SL-REPCSPELAN4 module is added to the encoder, embedding an ADF adaptive dynamic gating fusion module; and an AADM area-aware dynamic matching strategy is adopted in Hungarian matching, dynamically adjusting the matching cost weights based on the predicted bounding box area. After training, the gesture detection result is output. This invention improves fine-grained feature extraction capabilities, small target matching priority, and bounding box regression accuracy, enhancing detection accuracy and robustness while maintaining lightweight and real-time performance.

The invention relates to the technical field of PEM electrolytic bath systems, in particular to a liquid level and temperature-based multi-modal control PEM electrolytic bath system and method, the system comprises a water tank, an electrolytic bath unit, a heat exchange recovery unit and a control unit, and the heat exchange recovery unit comprises a hydrogen side gas intercooler, an oxygen side gas intercooler and a gas-water separator. According to the method, the liquid level sensor judges that the water tank is in an extremely low liquid level, a normal liquid level or a more-water state, and three control modes are correspondingly triggered. The core lies in that in a normal liquid level mode, a control unit calculates the needed system water inlet flow M0 in real time through a heat balance equation according to the target temperature Tt of a water tank, the water inlet temperature T0 and the multi-path return water temperature and flow from a heat exchange recovery unit, the power of a PTC heater is dynamically adjusted, and therefore deep cooperation of liquid level management and temperature control is achieved. Electrolytic reaction waste heat can be recycled to reduce the overall energy consumption of the system, water temperature fluctuation in the water supplementing process is effectively restrained, and stable and efficient operation of the electrolytic bath is guaranteed.

This invention relates to the field of equipment monitoring and fault diagnosis technology, and discloses a method and system for equipment fault diagnosis based on knowledge graphs and large language models. The method includes: acquiring multiple types of data sources for the target equipment, preprocessing and extracting features to obtain a structured dataset; extracting knowledge triples from the dataset based on a natural language processing model and constructing an equipment health status ontology; constructing evaluation functions for each fault phenomenon to quantify the adaptability of monitoring methods, forming fault phenomenon-monitoring method mapping triples; merging the knowledge and mapping triples and storing them in a graph database to form a knowledge graph and optimizing it; using a pre-trained semantic embedding model to encode triples and construct a retrieval index library, receiving user query codes and retrieving and constructing a semantic subgraph; combining the semantic subgraph and the query into prompt words and inputting them into a large language model to generate recommendation results, updating the knowledge graph or index library based on user feedback. This invention improves the accuracy and adaptability of fault diagnosis and reduces operation and maintenance costs.

The invention relates to the technical field of big data processing, and discloses a distributed data real-time acquisition and management system which comprises a data processing center and a plurality of distributed edge acquisition nodes, the edge acquisition nodes are used for receiving heterogeneous source end original data streams, and protocol adaptation modules, semantic value weight modules and differential flow control modules are integrated in the edge acquisition nodes. The protocol adaptation module constructs a protocol fingerprint by using the Shannon information entropy and byte frequency distribution of the preamble segment to realize adaptive matching and decoding of a heterogeneous protocol; the semantic value weight module distributes a dynamic value weight label for the data record based on a business rule; and the differential flow control module calculates a congestion control coefficient by using a PID algorithm, and differentially adjusts the token generation rate of each level of queue. According to the invention, intelligent access of heterogeneous data sources is realized, and real-time transmission of high-priority data can be guaranteed preferentially when the network is congested.

This invention provides a method and apparatus for dynamic instruction redirection of hardware resources, relating to the technical field of terminal device resource management. The method includes: real-time collection of device status information from all connected home terminal devices via the HarmonyOS distributed soft bus, and screening of candidate idle devices in an idle state; matching the execution architecture requirements of the instruction to be migrated with the underlying hardware architecture of the candidate idle devices, and selecting candidate compatible devices that support the execution architecture requirements; constructing a priority mechanism for migration instructions based on the HarmonyOS scheduling framework, calculating dynamic priority weights, and combining these weights to call a device performance evaluation function; constructing a task migration benefit function by comprehensively considering multi-dimensional performance indicators; and finally selecting the optimal target device based on the result of the benefit function. This invention enables the design of a dedicated priority mechanism for cross-device migration instructions under the HarmonyOS native scheduling framework, thereby achieving efficient scheduling of migration tasks under heterogeneous hardware conditions across multiple devices.

The present application belongs to the field of meteorological remote sensing and geographic information technology, and particularly relates to a mountainous area temperature long-time series high-resolution estimation method based on multi-source satellite remote sensing, comprising: obtaining multi-source satellite land surface temperature product data, meteorological station observation data and multi-dimensional auxiliary factor data; constructing a temperature estimation model based on different observation scenarios of the multi-source satellite land surface temperature product data, wherein the temperature estimation model is constructed based on a random forest regression model, and the multi-dimensional auxiliary factor data is input of the temperature estimation model; training the temperature estimation model by using the meteorological station observation data to generate multiple sets of temperature estimation initial value products; weighting and fusing the multiple sets of temperature estimation initial value products according to the deviation of each set of temperature estimation initial value product relative to the meteorological station observation data to generate fused temperature data; and performing spatiotemporal continuity interpolation filling on the gaps existing in the fused temperature data to obtain a spatiotemporal continuous mountainous area temperature data set.

The invention discloses a virtualization input and output optimization method, device and equipment and a storage medium, and is applied to the technical field of cloud computing virtualization, and the method comprises the steps: precisely generating an adjustment strategy of a virtual annular queue through the cooperative linkage of a virtual machine and a host machine by means of a three-level judgment condition and a hysteretic mechanism, system fluctuation caused by frequent capacity expansion / shrinkage of the queue is effectively avoided, complete undertaking of in-progress requests in the queue switching process is achieved in combination with the snapshot migration technology, and input and output service continuity is guaranteed; multi-dimensional information such as virtual device resource use condition and request queue length is integrated through a host machine, and the causal relationship between requests is identified in combination with a request dependency graph to optimize the scheduling priority, so that the problem of multi-device resource competition is solved, the risk of priority inversion caused by ignoring request dependency in conventional scheduling is avoided, and the scheduling efficiency is improved. Accurate dynamic allocation of resources is achieved, and the system stability, the resource utilization rate and the overall I / O processing efficiency in a virtualized input and output scene are remarkably improved.

This invention discloses a drone swarm monitoring system and method, relating to the field of drone swarm collaborative operation technology. The method includes: continuously sensing the state of several preset task areas, acquiring the state values ​​of each area and constructing a time-series sequence; calculating the state change rate and acceleration of each area based on the sequence; calculating a dynamic task priority value by combining the historical task execution frequency of each area; generating a drone swarm task allocation scheme based on the priority values ​​of all areas, combined with the location, urgency, and resource requirement constraints of the task areas, using a preset optimization model to achieve load balancing; planning flight paths for each drone, driving the swarm to execute tasks, and supporting dynamic reallocation based on real-time feedback.

The invention relates to the technical field of remote regulation and control, in particular to a remote control method and system for a high-low voltage power distribution cabinet. The method comprises the following steps: collecting real-time operation parameters, environment state parameters and equipment health characteristic parameters corresponding to a high-low voltage power distribution cabinet based on a distributed sensing unit, and carrying out synchronous confidence calibration processing and invisible rule analysis among the parameters, so as to generate invisible association rules corresponding to the parameters of the high-low voltage power distribution cabinet; operation control evaluation and remote control dynamic adjustment are carried out based on the corresponding invisible association rules among the parameters of the high-low voltage power distribution cabinet, and a corresponding high-low voltage power distribution cabinet execution instruction set is generated; and issuing the execution instruction set of the high-low voltage power distribution cabinet to a local execution unit corresponding to the high-low voltage power distribution cabinet according to the timeliness label sequence through the encrypted transmission channel, and iterating remote regulation and control analysis to generate a remote regulation and control log of the high-low voltage power distribution cabinet. According to the invention, remote operation and maintenance control of the high-low voltage power distribution cabinet in the full life cycle can be realized.

The present application belongs to the technical field of file system data balancing, and particularly relates to a Lustre file system data balancing method based on multi-dimensional customized strategy, aiming to solve the problems of single balancing granularity, low efficiency and rigid strategy in the prior art. The method comprises the following steps: defining a multi-dimensional balancing strategy containing conditional dimensions, data value weight dimensions and priority assignment, and storing the multi-dimensional balancing strategy in a rule library; after triggering balancing by monitoring the system, obtaining file metadata and business associated data, matching the strategy, and calculating a business value evaluation value; combining the business value evaluation value and a preset weight proportion to calculate a file priority score; generating and dynamically optimizing a first-in first-out task queue according to the priority; and migrating files according to the queue order, and preferentially allocating system resources to high-priority tasks. The present application realizes precise balancing driven by business value, improves resource utilization efficiency and system adaptability, and ensures stable operation.

The invention discloses a charging pile cluster power intelligent distribution method and device, electronic equipment and a medium, and belongs to the technical field of charging. The method comprises the steps that the current battery electric quantity and the maximum battery capacity of a vehicle connected to a charging pile are acquired; calculating the priority weight of the vehicle according to the current electric quantity of the battery and the maximum capacity of the battery; determining the charging power allocated to the vehicle according to the priority weight and the maximum supply power of the charging pile cluster; the higher the priority weight is, the larger the charging power distributed to the vehicle is. By acquiring the current electric quantity and the maximum capacity of the vehicle battery, the charging demand of the vehicle can be accurately known, the priority weight of the vehicle is calculated according to the data, the emergency degrees of different vehicles to charging can be distinguished, the charging power is distributed according to the actual demand of the vehicle, and the charging efficiency is improved. Therefore, the vehicles with high priority weights can obtain more charging power, so that reasonable distribution of the charging power is realized, and the energy utilization rate and the charging efficiency of the whole charging pile cluster are improved.

This invention relates to the field of energy storage system control technology, and discloses a distributed cooperative control method and device for an electrochemical energy storage system. The method includes: constructing multiple local communication network units based on each target energy storage unit and its adjacent units in the energy storage system; monitoring the state of charge (SOC) of each target energy storage unit and the total power of the energy storage system in real time; if the change in SOC of a target energy storage unit exceeds a first preset threshold, or the change in total power exceeds a second preset threshold, triggering the target energy storage unit to exchange SOC data packets with its adjacent units; calculating a target power command based on the SOC data packets of the target energy storage unit and its adjacent units; and sending the target power command to the converter of the target energy storage unit so that the converter controls the charging and discharging power of the target energy storage unit according to the target power command. This invention achieves reliable, efficient, and real-time control of an energy storage system through a distributed architecture and cooperative control method.