35results about How to "Reduce idling" patented technology

This invention provides a robust resource scheduling method, apparatus, and device for satellite communication systems, relating to the field of wireless communication technology. The method includes: acquiring real-time environmental data and the channel coefficients at the current moment; determining the channel parameters corresponding to the real-time environmental data using an environment-parameter correspondence table, the channel parameters including the channel time correlation coefficient and the innovation process variance; calculating the statistical characteristics of the channel coefficients at the time to be transmitted based on the channel coefficients and channel parameters at the current moment; constructing a probabilistic constraint relationship using a one-sided Chebyshev inequality based on the statistical characteristics and a preset confidence parameter, calculating the minimum channel carrying power gain at the time to be transmitted that satisfies the preset probability guarantee; and performing resource scheduling based on the minimum channel carrying power gain at the time to be transmitted using a robust proportional fair scheduling algorithm. This invention can improve resource scheduling efficiency.

The application discloses a kind of urban sanitation vehicle collaborative perception management systems based on Internet of Things, and the application relates to the technical field of sanitation cleaning, lack of system analysis and mining of historical cleaning and transporting data, and the problem that the characteristics of garbage generation interval of each single route cannot be accurately mastered is solved, the application is based on the dynamic programming logic of the total amount of operation by combining analysis processing center, the route combination satisfying the requirement of transport capacity is filtered, and the optimal cleaning and transporting route is determined with the shortest travel distance as the core sorting principle, which effectively reduces the invalid driving mileage of sanitation vehicle, such as empty driving and detour, improves the cleaning and transporting efficiency of single sanitation vehicle per unit time;At the same time, through the scientific combination of multiple groups of to-be-planned routes, it is ensured that the transport capacity of sanitation vehicle is fully utilized, the resource waste phenomenon of part of vehicles overloading and part of vehicles idling is avoided, and the balanced allocation of regional sanitation vehicle transport capacity is realized.

The invention discloses a cloud edge hierarchical collaborative information system integrated resource scheduling system. The system comprises an acquisition module. Data preliminary cleaning and feature extraction are locally executed through the edge end, only key feature data are uploaded, network transmission quantity is reduced, cloud computing pressure is relieved, real-time tasks can respond quickly, task timeout caused by transmission delay is avoided, feature vectors of the edge end and the cloud end are dynamically analyzed based on a scheduling decision model of reinforcement learning, and the real-time performance of the edge end is improved. Task requirements and resource states are intelligently matched, the scheduling accuracy is improved, model parameters are dynamically updated through task execution state data (such as duration and resource utilization rate deviation), the model is adaptively optimized along with environment changes (such as edge end hardware aging and cloud load fluctuation), the efficient scheduling capacity is kept for a long time, and the scheduling efficiency is improved. Layered processing and intelligent scheduling avoid edge end overload or cloud end resource idling, resource allocation of a CPU, a memory and the like is optimized, resource waste is reduced, and the system collaboration efficiency is integrally improved.

The invention discloses an NVMeoF far-end storage system and method based on GPU direct command control, an I / O processing task in an NVMeoF environment is clearly divided into two modules, namely a GPU processing NVMe command module and a CPU processing network protocol module, cooperation of the two modules is realized through a doorbell notification mechanism, a CPU is enabled to concentrate on the skilled network protocol processing, and the NVMeoF remote storage system and method based on GPU direct command control are realized. The GPU is enabled to concentrate on the skilled NVMe command generation and data processing, so that the load of the CPU is remarkably reduced, an end-to-end zero-copy data path from remote NVMe storage to a GPU video memory is constructed, unnecessary intermediate data copy is eliminated, and the data throughput is maximized. According to the invention, in an NVMeoF environment, approximate localization low-delay and high-bandwidth access of the GPU to the remote NVMe storage device can be realized.

The application discloses a multi-layer strip-shaped low-altitude unmanned aerial vehicle continuous coordination release traffic control system and method. The application relates to the technical field of low-altitude traffic control, and aims at the problems of coarse strip-shaped low-altitude airspace resource description, lack of coordination in continuous node release, and window mismatch and air route conflict in existing low-altitude traffic control. The application provides the following scheme: obtaining strip-shaped airspace operation state and unmanned aerial vehicle traffic demand, generating low-altitude airspace resource units and traffic permission windows, coordinating adjacent node release phase difference based on predicted traffic time, forming a low-altitude continuous traffic flight wave, and generating unmanned aerial vehicle low-altitude traffic control instructions. The application is suitable for low-altitude traffic management platforms, unmanned aerial vehicle operation control systems and take-off and landing field control units.

The utility model provides a kind of adjustable filter outer frame, including outer frame, outer frame includes a pair of left and right sides oppositely arranged frame body, connecting piece is arranged between two side frame bodies relative upper and lower sides, connecting piece is detachably connected with frame body and encloses outer frame;Each frame body includes the bottom plate extending along length direction, the two sides of bottom plate length direction are bent to form fixed plate respectively, fixed plate is equipped with first connecting hole, air hole and scale, connecting piece is used to connect the upper and lower sides of air filter medium relative;Through scale and the design of cuttable frame body, the size of air filter can be adjusted according to installation environment, improve versatility, avoid the installation difficulty or resource waste caused by size inconsistency, can be applicable to a variety of installation environments, reduce the idle and inventory of multi-size customization, and improve the efficiency of air filtration and outer frame practicality.

This application relates to a logistics sorting method, electronic device, computer-readable storage medium, and computer program product, belonging to the field of logistics sorting technology. The method includes: acquiring the delivery time information of each package in a set of packages to be sorted; the delivery time information of each package is used to characterize the sorting start time of each package; based on the delivery time information of each package, determining a target sorting method corresponding to the set of packages from preset sorting methods; the preset sorting methods include at least static sorting and dynamic sorting; and sorting each package based on the target sorting method. This method can improve the utilization rate of sorting compartments.

This invention proposes an intelligent remote emergency rescue management system capable of rapidly matching resources, relating to the field of remote emergency medical technology. The alarm receiving module triggers the case analysis module to generate priorities, the resource scheduling module allocates instructions to the drone control module, and after the drone completes deployment, the information matching module generates navigation information. Data from the person scanning the code is fed back to the system via the data association unit, forming a complete closed loop of resource scheduling-deployment-feedback. Through real-time data interaction between modules, the traditional emergency resource matching time is shortened from 10-20 minutes to within 2 minutes, while simultaneously improving the accuracy and utilization rate of drone AED deployment, achieving a qualitative leap in emergency response efficiency.

This invention provides a waste liquid collection and temporary storage system and method under raised floors, including a main collection tank, a backup tank, a pneumatic diaphragm pump, a waste liquid inlet pipe, a waste liquid outlet pipe, a gas phase balance pipe, a connecting pipe, an exhaust pipe, and a liquid level detection device. The main collection tank and the backup tank are located below the raised floor, and the pneumatic diaphragm pump is located above the raised floor. The main collection tank and the backup tank are connected by the gas phase balance pipe and the connecting pipe, respectively. Waste liquid enters the main collection tank through the inlet pipe. The liquid level detection device monitors the liquid level and triggers the pneumatic diaphragm pump to deliver waste liquid. In case of abnormal inflow, the connecting valve is opened to expand the capacity of both tanks, forming a temporary storage space. The system is also equipped with a multi-stage liquid level detection device, a pneumatic ball valve, and an independent control box, possessing automatic control, pressure balancing, and overflow prevention functions. It has a compact structure, is safe and reliable, and can effectively improve the continuous operation capability and emergency buffering capability of the waste liquid collection system under raised floors.

The invention relates to the technical field of steel and iron material rolling, and particularly discloses a full-process production method for rolling a high-performance bar with the diameter phi of 36 mm. Three-stage temperature dynamic regulation and control are conducted, specifically, a steel billet with a configured component system is fed into a heating furnace, and a rough rolling-intermediate rolling-finish rolling dynamic temperature control model is constructed; according to the multi-specification compatible composite hole pattern, a flat ellipse-round-square composite hole pattern sequence is adopted; differentiated intelligent cooling is conducted, specifically, a controlled cooling process database is built, and cooling schemes are formulated according to different steel grade components; multi-dimensional online quality detection: laser diameter measurement and AI metallographic detection are integrated, a laser diameter measurement instrument is additionally mounted at a finish rolling outlet, and a rapid metallographic detector is deployed at a cooling bed outlet; loop parameter control: establishing a loop height dynamic compensation model, and solidifying a loop control program through a PLC system; the product comprehensively meets the requirement of high-end equipment manufacturing for high-performance bars, the equipment idleness and production cost are greatly reduced, the production stability is greatly improved, and the production efficiency is improved.

The invention relates to the technical field of network transmission optimization, and provides a data transmission method and device. The method comprises the steps of receiving credit authorization information sent by a receiving end, wherein the credit authorization information is used for authorizing a sending end to transmit to-be-transmitted data based on a credit authorization amount; determining a transmission performance index of each data transmission path; determining a credit allocation weight of each data transmission path according to the transmission performance index; determining the target credit of each data transmission path according to the credit authorization amount and the credit allocation weight of each data transmission path; and based on the target credit of each data transmission path, distributing the to-be-transmitted data to the corresponding data transmission path for transmission. According to the data transmission method provided by the invention, multi-path data transmission under active control is realized, and the robustness of data transmission and the resource utilization rate are improved.

This invention discloses a collaborative scheduling system and method for driving and charging of connected heavy-duty vehicle clusters, relating to the technical field of intelligent management. The system includes the following steps: calculating the driving conversion coefficient and charging conversion coefficient of the vehicle cluster; calculating the vehicle cluster's transport capacity and transport efficiency; establishing a first mapping relationship and a second mapping relationship to obtain discrete transport capacity and discrete transport efficiency; matching collaborative vehicles; verifying the collaborative vehicles; and executing a first operation. This invention, by calculating the driving conversion coefficient and charging conversion coefficient of the vehicle cluster, more accurately predicts and plans the driving and charging needs of vehicles. Based on historical freight data and real-time order information, it allocates vehicle resources more rationally. Through collaborative scheduling, it reduces fuel consumption and electricity costs, reduces vehicle wear and maintenance costs, improves the response capability to emergencies by establishing mapping relationships and discretization analysis, and reduces idle time and improves vehicle utilization efficiency through intelligent scheduling.

This utility model discloses a casting mold for aerospace metal equipment, comprising: a supporting base, an inner supporting ring frame fixedly connected to one end of the supporting base, and an outer supporting ring frame fixedly connected to the other end of the supporting base. A rotating ring base is provided on the top of both the inner and outer supporting ring frames. An upper mold mechanism is provided on the inner wall of the inner supporting ring frame and the outer wall of the outer supporting ring frame. A motor is fixedly connected to the other end of the supporting base, and a gear is fixedly connected to the output end of the motor. An installation groove is provided at one end of the rotating ring base. This utility model uses a motor to drive the gear, which rotates in conjunction with the inner tooth groove of the rotating ring base, switching the position of the lower mold mechanism. A cylinder pushes the upper and lower molds together to close, and molten metal is injected through the inlet hopper to complete the casting. After mold opening, the rotation and switching are repeated, forming a high-efficiency production cycle. This mode allows for rapid mold switching, enabling continuous production of multiple specifications of products, reducing equipment idle time, and significantly improving production efficiency.

The present application relates to a kind of multi-test bench railway vehicle test data integrated management system, belong to railway vehicle test data management technical field.The data acquisition module of the system is based on adaptive matching mechanism obtains multi-test bench data and completes local pre-processing;Data processing module constructs data correlation rule, generates dynamic cross-test bench data correlation atlas, realizes multi-source data fusion and value-driven storage scheduling by hierarchical fusion strategy;Core management module generates test task scheduling scheme and completes priority adjustment, constructs digital twin mapping and generates whole-process traceability link;Interactive collaboration module generates adaptive data display scheme, pushes abnormal early warning and completes field operation interaction.The present application solves the problems of existing multi-test bench data integration, scattered management and poor traceability, realizes the standardization and intelligent control of whole-process railway vehicle test, and improves the test efficiency and data management reliability.

The invention provides a transportation line combination method, electronic equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a plurality of transportation lines in a logistics network; according to a line combination constraint, combining the plurality of transportation lines to obtain an initial line set; wherein the route combination constraint comprises a first deadhead constraint, and the first deadhead constraint is used for constraining the deadhead distance and / or deadhead time between different routes in the same initial route combination; and taking the initial line set as a line combination result and outputting the line combination result. In the transportation line combination process, the empty driving condition is considered, so that the initial line set obtained after combination has good performance in the empty driving dimension, and the vehicle empty driving condition is relieved.

The utility model discloses a raw material crusher of plastic particle production, including the organism, the top of organism is provided with the hopper, the front and back of organism all are fixedly connected with the support, the left side fixedly connected with the connecting block of support, the front and back of hopper all are fixedly connected with the axle rod, the both ends of axle rod all are connected with the connecting block and are connected movably, the hopper can utilize axle rod and rotate swing and change the inclination angle, the top of organism is provided with transmission structure, transmission structure can control axle rod rotation, transmission structure includes the electric telescopic handle of fixed connection in the top of organism, the output of electric telescopic handle is fixedly connected with the transmission block. The utility model discloses through hopper angle adjustable, adapts to different raw material fluidity, avoids the raw material stagnation or blockage caused by the gentle inner wall, through the change inclination angle control raw material down speed, improve the evenness of raw material of crusher feeding, reduce the equipment idle running or overload risk.

This utility model relates to the field of pharmaceutical technology, specifically to a bottle feeding device for a drum-type bottle washing machine. It includes a base with a fixed seat on its bottom wall. A motor is mounted on one side of the inner bottom wall of the base. The output end of the motor is locked with a lead screw via a coupling, and the other end of the lead screw is rotatably connected to the inner wall of the base via a bearing. A connecting block is threaded onto the outer wall of the lead screw, and a connecting rod is mounted on the top wall of the connecting block, extending beyond the base. When the conveyor line stops, the pusher plate can push the bottles between itself and the baffle to the right, eliminating gaps. This solves the problem of excessive bottle spacing caused by unstable conveying speed, defects in the bottle feeding system, and differences in the bottles themselves, ensuring that the bottles are tightly arranged and continuously conveyed to the drum-type bottle washing machine, significantly improving conveying stability.

The invention discloses a distributed task scheduling method and device, and belongs to the technical field of distributed task scheduling, and the method comprises the steps: obtaining a current load parameter, a first task label and preset task processing time consumption, and sending a task pulling request signal to a task pool under the condition of judging that the task pool is in an idle state, sending the task to be processed to a task pool to enable the task pool to feed back second task labels of all the tasks to be processed, task estimated load parameters and a task preset timeout time threshold value, and then for each task to be processed, when it is determined that the current task to be processed is a target task which can be currently processed by itself, pulling the target task from the task pool; and finally, processing the target task, and feeding back a processing result to the task pool after the target task is successfully processed. By implementing the method and the device, the problems that the CPU is easy to idle, the overall resource utilization rate is reduced and the task processing efficiency is low due to the adoption of a scheduling mechanism based on an active task pushing mode in the prior art can be solved.

The invention discloses an end-side multi-model collaborative reasoning method, end-side equipment and a storage medium, and relates to the technical field of computers.The hardware resource state data of the end-side equipment are dynamically collected, and the hardware resource state data at least comprise the computing power utilization rate, the memory occupancy rate and the operation power consumption in all heterogeneous computing units; obtaining static metadata and dynamic reasoning performance data of each AI model; based on the hardware resource state data, the static metadata and the dynamic reasoning performance data, computing resources of heterogeneous computing units are dynamically allocated to all the AI models, the reasoning priority of all the AI models is determined, and a parallel strategy is executed to generate a resource scheduling strategy; and according to the resource scheduling strategy and the model dependency relationship, constructing and executing a system-level reasoning task assembly line to complete collaborative reasoning. The resource utilization rate and the reasoning efficiency of an end-side multi-model reasoning scheme can be improved.

This invention discloses a joint optimization method and apparatus for tandem quay crane loading considering carbon emissions. The method includes: constructing a three-layer coding structure comprising a container allocation layer, a container loading sequence layer, and a truck allocation layer; decoding the three-layer coding structure to generate an executable loading operation plan and calculate the loading operation completion time and total carbon emissions; employing a multi-objective evolutionary mechanism to perform a global search on the coding structure, achieving iterative population updates through crossover, mutation, non-dominated sorting, and reference point selection; performing local search for container allocation and iterative greedy optimization of truck scheduling on candidate plans, updating the non-dominated solution set based on Pareto dominance, and outputting the joint optimization results. This invention achieves synergistic optimization of loading efficiency and carbon emissions by unifying the modeling of container allocation, truck scheduling, and tandem quay crane collaborative operation decisions, solving the problems of insufficient synergy, low operational efficiency, and high carbon emissions caused by the separation of multiple decisions in existing loading operations.

The application discloses an inland port electric transfer vehicle charging scheduling method, comprising the following steps: constructing a transfer vehicle task matching model with the purpose of maximizing the utilization rate of the transfer vehicle and completing all transfer tasks; constructing a transfer vehicle charging scheduling model with the purpose of minimizing the delay, maximizing the transfer vehicle efficiency and minimizing the charging cost; constructing an energy-traffic collaborative scheduling model through the transfer vehicle task matching model and the transfer vehicle charging scheduling model; taking the transfer task and the initial state of all transfer vehicles as the input of the energy-traffic collaborative scheduling model, solving the energy-traffic collaborative scheduling model with the input of the transfer task and the initial state of all transfer vehicles through a deep Q network algorithm, and generating an optimal energy-traffic collaborative scheduling scheme; and scheduling the transfer vehicle through the optimal energy-traffic collaborative scheduling scheme to complete the transfer task of the port. The application can improve the overall transportation efficiency of the port and reduce the transportation cost.

This invention relates to the field of computing power scheduling technology, specifically to an AI computing power scheduling method and system for private large-scale models. The invention performs attention encoding on multi-source heterogeneous data to obtain format recognition results and acquisition priority labels; generates a memory pressure pre-transmission signal based on the format recognition results; extracts structural features from high-quality data streams and generates computing power affinity encoding vectors through graph neural networks; constructs a state space combined with a secure computing power pre-occupancy mechanism, outputting a resource allocation action sequence; further performs memory oversubscription, core binding, NUMA node crossing, and network bandwidth conflict detection, and resolves conflicts and performs affinity rearrangement based on task priorities to generate a conflict-free instruction sequence. This invention can improve the utilization efficiency of heterogeneous computing power resources, reduce the probability of resource conflicts, and improve the scheduling stability and execution efficiency during the training and inference process of private large-scale models.

This utility model discloses a U-shaped clamp that is easy to assemble, install, and adjust. This utility model relates to the field of power equipment technology. It includes: a clamp structure, an adjustment structure fixedly connected to the outer wall of the clamp structure, and splicing structures fixedly connected to both sides of the clamp structure. The clamp structure includes a first clamp body and a second clamp body. The adjustment structure includes an adjustment rod disposed on the first clamp body, with four positioning holes evenly distributed along the top of the adjustment rod. An adjustment hole is provided on the outer wall of the second clamp body. The outer wall of the adjustment rod is slidably connected to the inner wall of the adjustment hole. An adjustment bolt is provided at the top of the adjustment hole. This U-shaped clamp achieves flexible size adjustment through the adjustment structure. The design of the adjustment rod sliding along the adjustment hole, combined with the precise fit of the positioning hole and the adjustment bolt, allows it to adapt to fastened components of different specifications.

A detection task batch processing arrangement method, system, product and medium based on dynamic constraints and timing reconstruction, relating to the field of intelligent scheduling. The method comprises: analyzing detection application data and its bound time and batch processing constraint conditions; decoupling and splitting the initial task chain into independent sub-tasks in combination with the real-time running context of equipment personnel; matching execution entities for the sub-tasks based on resource states and generating a to-do queue in order of emergency; continuously aggregating attribute-compatible test samples for sub-tasks with batch processing attributes; generating a combined order instruction when the aggregation quantity reaches the minimum threshold and is within the time window; monitoring the total flow time in real time, and if the estimated time is exceeded, releasing the samples that have not been physically executed and pulling the latest state to requeue the order. The technical solution provided by the application improves the overall resource utilization of batch operation of detection equipment.

The application discloses a main machine structure of a car cleaning device and a production and assembly process thereof. The main machine structure comprises a shell, a driving motor, a water pump mechanism, a power transmission connection structure, a water outlet connection port, a water supply connection port and an intelligent control electric system. The driving motor drives the water pump mechanism through the power transmission connection structure, so that water enters the water supply connection port and is output from the water outlet connection port. The intelligent control electric system comprises a power management unit, a main control unit, a motor drive control unit, a pressure detection unit, a water supply state detection unit and a protection execution unit, and can control the driving motor to operate and execute a protection action according to the water supply state and the water outlet pressure. The production and assembly process comprises shell processing, motor installation, water pump installation, power connection, electric control installation, detection signal access, interface sealing inspection, power-on self-checking, trial operation and whole machine testing. The application improves the main machine assembly consistency, operation protection capability and fault positioning efficiency.

The utility model discloses a kind of energy-saving extrusion devices for high saturation color refill, it includes: three-roll grinder, hopper, briquetting and briquetting drive mechanism, first roller, second roller and third roller are sequentially and parallelly spaced in three-roll grinder from back to front, the gap above between first roller and second roller is provided with the discharge port in the bottom of hopper, briquetting is set in the discharge port liftable, briquetting drive mechanism includes jack, motor, carousel and driving rod, jack is set in briquetting top and extends to the discharge port above, by the lifting of briquetting in discharge port, avoid the blockage of color refill raw material in discharge port, ensure smooth discharging to carry out extrusion dispersion, and using the descending of briquetting to carry out the pressing of raw material in the gap above between first roller and second roller, avoid the problem that raw material floats on top and does not enter gap, ensure the efficiency of extrusion production, thereby reduce energy consumption.

The application belongs to the technical field of intelligent construction and multi-work-species collaborative scheduling, and relates to a multi-work-species interpenetration construction space time-varying conflict prediction and operation face guiding method. The method first acquires multi-source heterogeneous time sequence signals, generates construction process events representing on-site construction behaviors according to process eventization rules and adaptive identification parameters; further utilizes a process state infection and immunity model to dynamically update a dynamic operation face state graph representing the logical association and availability state of the whole field operation face; performs conflict prediction and operation opportunity identification by analyzing the state graph, generates a mixed scheduling decision including explicit guiding instructions and implicit adjustment instructions; generates operation navigation information of guiding teams in response to the explicit instructions, and performs implicit instructions to adaptively adjust the event generation process in a closed loop. The application solves the problem that the prior art lacks a dynamic deduction and adaptive conflict avoidance mechanism of operation face state based on real-time behavior identification.

The invention discloses an instrument detection task processing method, which comprises the steps of determining a task priority of a target detection task and a team score of a candidate detection team based on task description data of the target detection task and team description data of the candidate detection team, the resource adaptation degree and the time adaptation degree of a candidate detection team to the target detection task are determined; determining whether the target detection task meets a task splitting condition or not based on the resource adaptation degree, the time adaptation degree and the task priority of the target detection task; if the target detection task meets the task splitting condition, splitting the target detection task based on the resource adaptation degree or the time adaptation degree to obtain to-be-allocated detection sub-tasks; and determining a target detection team from the candidate detection teams based on the team scores and the resource adaptation degrees of the candidate detection teams to the to-be-allocated detection sub-tasks, and issuing the to-be-allocated detection sub-tasks to the target detection team. According to the invention, the flexibility and adaptability of task allocation are enhanced.

The invention relates to the technical field of medical instruments, in particular to a sample management device and a sampling method. The device comprises a supporting bottom plate, a placing plate, a partition plate and a sampling mechanism, the placing plate and the supporting bottom plate are arranged in parallel at intervals; the multiple partition plates are connected to the placement plate and are arranged in parallel at intervals in the first direction, and placement grooves suitable for containing sample frames are formed between the adjacent partition plates; the sampling mechanism is slidably connected with the supporting bottom plate and located on one side of the containing plate, the sampling mechanism can be controlled to slide in the first direction, the sampling mechanism is used for transferring the sample frame in the containing groove, the sampling mechanism is provided with two first detection assemblies and two second detection assemblies, the first detection assemblies are used for detecting whether the sample frame completely enters the sampling mechanism or not, and the second detection assemblies are used for detecting whether the sample frame completely enters the sampling mechanism. The detection directions of the two second detection assemblies intersect, and the two second detection assemblies are used for detecting samples on the sample frame. The overall detection efficiency and the system automation level can be improved.