54results about How to "Avoid idling" patented technology

The present application relates to a kind of distribution management method, device, storage medium and electronic equipment, it is related to distribution management technical field, the present application constructs user receiving probability distribution model using deep learning, and correction is carried out in combination with real-time telephone communication result, effectively solve the problem of too early or no one to receive mail caused by recipient not at home, greatly reduce the secondary delivery rate and loss risk of fresh products, by injecting the scoring system with fresh type and its preservation threshold as core constraint variable, ensure that the order of high time requirement can obtain higher distribution priority, complete delivery before product quality deterioration, improve user experience, while realizing the balanced scheduling of regional transport capacity through dynamic scoring mechanism, effectively alleviate the technical pain points of uneven resource allocation in peak period, avoid the phenomenon that part of terminal is overloaded while another part is idle, based on real-time scoring dynamically generates path, can flexibly respond to road condition anomaly, user temporary change of mind and other emergent conditions.

The utility model discloses a novel push wheel linkage feeding mechanism belongs to the technical field of automation equipment, including fixed plate, feeding box, rotary feeding unit, X axis feeding unit, Y axis feeding unit and push unit, and fixed plate horizontal arrangement is installed in the top of fixed plate, and rotary feeding unit is installed in the top of fixed plate, and sets up at the back of feeding box, and X axis feeding unit is installed in the top of fixed plate, and Y axis feeding unit is installed in the top of fixed plate, and sets up at the front of feeding box, and push unit is installed in the top of fixed plate, and sets up at the front of rotary feeding unit. The utility model discloses through the innovation mechanical linkage and sensing control, realized low -cost, high -efficient, high reliability's automation feeding, especially applicable to the quick sorting and the turning scene of small -size material, and the power manufacturing industry reduces the benefit of benefit.

The application provides an AI computing power allocation method, system, device, storage medium and program product, and relates to the technical field of data processing. The AI computing power allocation method determines the corresponding target AI algorithm model based on the service demand of the target reasoning service in real time, and then dynamically matches the target computing power resource used to load the target AI algorithm model by combining the processing demand of multiple AI algorithm models, the preset adaptability rules of various heterogeneous computing power resources, and the current use state of the various heterogeneous computing power resources, so as to realize dynamic allocation of AI computing power resources, avoid computing power resource overload or idling, improve computing power resource utilization, reduce task reasoning delay, and thus improve data processing capability.

The application discloses a comprehensive distribution box for smart grid, and relates to the technical field of distribution boxes.The comprehensive distribution box for smart grid comprises a main body, an adjusting assembly is clamped in the inner cavity of the main body, and the adjusting assembly is adjusted synchronously along with the wiring channel demand; a splicing assembly is assembled at the end of the adjusting assembly, and the splicing assembly is used for lengthening or width adjusting of the wiring channel.The comprehensive distribution box for smart grid can accurately adjust the width of the wiring channel according to actual demand through the adjusting mechanism, can ensure that the space can be fully utilized under various environments, and can avoid unnecessary waste; the size of the wiring channel can be accurately controlled by adjusting the end of the line, space waste can be avoided, and the wiring layout can be optimized; meanwhile, the end of the wiring channel is adjusted, the channel width can be quickly expanded or reduced according to the change of the load, and the comprehensive distribution box for smart grid is suitable for different scenes.

The invention provides a traffic scheduling method and device, equipment and a storage medium, and the method comprises the steps: determining the current health degree of each link according to the historical health degree of each link and each index value in a current time period; therefore, the health degree is determined more accurately, and the link health degree is evaluated more accurately. In addition, a data transmission mode between the first network device and the second network device is determined according to the current health degree of each link, and then a flow scheduling rule in the corresponding data transmission mode is determined. Therefore, the dynamic transfer of each link can be determined, and the situation that the links are idle is avoided, so that the link utilization maximization and experience optimization are realized. The method is suitable for various IP network environments and various network topology structures, can be used for traditional copper cable access and wireless access scenes, and can also be used for optical fiber access scenes including an FTTR (Fiber To The Room) all-optical access network.

This invention discloses a method, device, and medium for predicting public transport carbon emission factors per passenger. The method includes: constructing bus stop-level, bus link-level, and bus route-level influencing factors; using these factors as input factors, processing them through a routing mechanism, calculating the routing score for each input factor, and then assigning each input factor to a corresponding expert sub-model to predict the corresponding public transport carbon emission per passenger. The method also involves identifying key factors for public transport carbon emissions and / or determining the coupling effect between pairs of input factors. Context-sensitive frequency and call balance are introduced to evaluate the local and global load of the expert sub-models, and the impact of expert switching on the prediction output is quantified through expert perturbation sensitivity.

This application provides a method, system, medium, program product, and terminal for adaptive construction and allocation of distributed computing tasks in a computing layout. The method involves dividing a full-size computing layout to obtain several computing layouts and corresponding computing tasks. For computing tasks that fail to execute, the method divides them into several sub-tasks corresponding to several sub-layouts, and re-executes these sub-tasks until all sub-tasks are successfully executed. For successfully executed computing tasks, the method collects their execution information and pre-divides or merges unexecuted computing tasks. Finally, after all computing tasks have been completed, the several computing layouts are merged and output. This avoids the problem of program termination due to excessive memory consumption and automatically adjusts to the most suitable partition size, thereby optimizing computational efficiency.

The present disclosure provides a blockchain contract processing method and device, electronic equipment and storage medium, comprising: loading N candidate smart contracts in batches from the to-be-processed smart contracts; in response to identifying that the candidate smart contract needs to perform a target external data read-write operation, judging whether the target external data exists in the local cache; in response to the target external data not existing in the local cache, performing saving processing on the first execution context data of the candidate smart contract, and determining a target contract from the to-be-processed smart contracts except the N candidate smart contracts; replacing the target contract with the candidate smart contract, and loading the target contract to the execution slot of the execution memory corresponding to the candidate smart contract, and executing the target contract. When it is found that the candidate smart contract needs to wait for the database to return, the context is saved and the execution is switched, avoiding the idling of the execution unit, improving the hardware utilization rate, and at the same time, by supporting batch preloading, the cache hit rate and execution continuity are improved.

The utility model discloses a material conveying system. Including: first screening machine is equipped with first discharge gate and second discharge gate, first material pipe, its feed port is connected with first discharge gate, first crusher, its feed port is connected with the discharge gate of first material pipe, second crusher, its feed port is connected with second discharge gate, second screening machine, its feed port is connected with the discharge gate of first crusher and the discharge gate of second crusher, conveyer belt, it conveys the particle that passed through second screening machine to target area, storage component, it includes first storage bin, and with first material pipe is connected through second material pipe, and shunt valve, it includes motor and baffle, installs in first material pipe inside, and is located second material pipe opening place. The utility model discloses through setting up shunt valve, reasonably adjusts the coal amount that enters first storage bin and is sent into combustion furnace, thereby reduces the input of coal when the power generation load is lower, and simultaneously makes full use of the productivity of screening machine and crusher.

This invention discloses a smart community management method and system based on a 3D scene. The invention relates to the field of smart community management and includes the following steps: S1: Dynamic twin construction of the 3D scene, creating a dynamic 3D scene synchronized with the physical community in seconds, rather than a static model, ensuring accurate implementation of management actions; S2: Triggered perception and linkage of the 3D scene; S3: Dynamic resource scheduling optimization of the 3D scene, dynamically adjusting the community management resource configuration based on the real-time status of the 3D scene; S4: Iterative optimization of the 3D scene management effect. This invention's smart community management method and system based on a 3D scene, through dynamic twin modeling and scene-linked perception and early warning, constructs a synchronization system between the physical community and the 3D scene, replacing the manual inspection trigger mode. Abnormal situations can be automatically located, instructions generated, and synchronously fed back, thus significantly shortening the early warning and response time and improving technical linkage.

This application discloses a roller-type needle holder, comprising: a housing; a clamping mechanism, the clamping mechanism including a first clamping arm and a second clamping arm, the first clamping arm including a rotary drive source, a first connecting shaft, a first transmission gear and a first roller clamp, the rotary drive source being disposed in the housing and drivenly connected to the first connecting shaft, the first roller clamp being disposed at the end of the first connecting shaft away from the housing, and the first transmission gear being sleeved on the first connecting shaft; the second clamping arm including an axial drive assembly, a second connecting shaft, a second transmission gear and a second roller clamp, the axial drive assembly being disposed in the housing, the second connecting shaft being connected to the axial drive assembly and arranged parallel to the first connecting shaft, the second roller clamp being movably connected to the end of the second connecting shaft away from the housing, and the second transmission gear being sleeved on the second roller clamp.

The application discloses a container storage processing method and system based on TIPU, a terminal and a medium, relates to the technical field of storage virtualization, and has the technical scheme as follows: the storage configuration information of NFS shared file information is subjected to encryption processing; a Configmap resource is created; a persistent storage declaration PVC is created, and a TIPU gateway is triggered to dynamically create a virtiofs device; a POD is created, and the virtiofs device is mounted to a container in the POD; the Configmap resource is parsed to inject a first key segment into a virtiofs file system; and a complete key is combined to decrypt file information. The application can ensure that a POD in a Kubernetes environment can perceive and directly access storage resources managed by TIPU in real time, and through seamless integration with a TIPU platform, efficient and dynamic unloading of storage load is achieved.

This application provides a method and system for integrated protection of wireless network optimization and data security. The method includes: collecting wireless network operation index data and network security threat index data; evaluating network quality based on the wireless network operation index data, calculating network channel quality values, and generating network optimization strategies; calculating security threat values ​​based on the network security threat index data, and constructing security protection strategies based on the security threat values ​​and network channel quality values; linking and matching the network optimization strategies and security protection strategies to form linkage control commands; and synchronously executing network parameter adjustments and security management actions according to the linkage control commands. This application achieves bidirectional linkage between wireless network quality perception and data security threat detection, optimizing network speed and latency while simultaneously identifying attacks and dynamically adjusting security strategies, achieving synergistic optimization and balance between performance and security.

This invention discloses a vehicle compartment protection device, including a vehicle compartment body, a roller structure rotatably connected to the top of the rear door, and a flexible roller shutter structure connected thereto. The roller structure can rotate to roll up or lay down the flexible roller shutter structure to open or close the rear door of the vehicle compartment. It also includes a drive assembly for transmitting the roller structure, a stop system for detecting the rolling or laying position information, and a main control module electrically connected to both. This invention controls the drive assembly by receiving signals from the stop system through the main control module, realizing the automatic opening and closing of the rear door and its stopping at the designated position. When rolled up, the flexible roller shutter structure does not occupy any space for entry and exit through the rear door, ensuring rapid loading and unloading of materials and personnel; when laid down, it completely encloses the rear door of the vehicle compartment from top to bottom, effectively preventing materials from slipping or being lost during transportation. This invention combines the advantages of fully enclosed protection with unobstructed and rapid loading and unloading, has a reliable structure, and is particularly suitable for transport vehicles such as military trucks that require rapid response and material protection.

The application discloses a distributed adaptive framing output method based on large-range remote sensing images, and relates to the technical field of remote sensing image processing. The preprocessed large-range remote sensing images are stored in a COG format, the framing size and quantity are dynamically adjusted in combination with the target area range and resolution, the tasks are distributed by a data locality perception scheduler after Z-order curve sorting, the computing nodes load the framing data with a buffer area, the framing data is interpreted by a random forest, and the buffer area is cropped, finally, the virtual data set is aggregated, efficient distributed parallel processing of the large-range images is realized, the I / O bottleneck and the computing resource limitation are effectively relieved, the context missing problem on the framing boundary is solved, the intelligent interpretation efficiency and precision are improved, and the multi-resolution on-demand rendering and elastic expansion are supported to adapt to the data scale growth.

This invention discloses a State of Charge (SOC) display system and method for unmanned logistics vehicles, belonging to the field of battery management technology for unmanned vehicles. The system includes: a vehicle controller, relays, a gateway, and a battery management system. When the vehicle controller and battery management system receive fast charging / slow charging / driving signals, the relay switches close, the gateway starts working, and forwards the data to the backend management system. When the vehicle controller and battery management system receive a driving signal, the backend management system displays the current SOC and driving status. When the vehicle controller and battery management system receive fast charging / slow charging signals, the backend management system displays the current SOC, charging status, charging time, and estimated full charge time. If the fast charging / slow charging / driving signal is lost, the backend management system displays the last received SOC and the vehicle's offline status, flexibly displaying information such as vehicle SOC, vehicle status, charging time, and estimated full charge time, achieving visualized monitoring of vehicle status and the charging process.

This invention relates to the field of the Internet of Things (IoT) for power systems, providing a collaborative reasoning method, system, and electronic device for power edge intelligence. The method includes: predicting the computational complexity of a task based on acquired task data by edge intelligent nodes; determining whether to offload the task to multiple edge intelligent nodes in an edge computing network for distributed collaborative reasoning based on the task's computational complexity; when determining to offload the task to multiple edge intelligent nodes for distributed collaborative reasoning, acquiring the status information of the currently available edge intelligent nodes in the edge computing network, and determining a task partitioning strategy among the currently available edge intelligent nodes based on the status information; offloading the task to the currently available edge intelligent nodes according to the task partitioning strategy; and completing the task's reasoning computation collaboratively through the collaboration of the currently available edge intelligent nodes. This invention enables power edge cluster collaboration, optimizing inference latency and load balancing.

A steering wheel locking control device and method are provided. The device may include: a power switch for receiving power from a battery when the vehicle ignition switch is off; and a switching unit connected to a motor, which is activated when power is received through the power switch and is used to lock the steering wheel through a closed circuit formed by short-circuiting the motor phases. The device and method provided in this disclosure can prevent the steering wheel from spinning freely when the vehicle ignition switch is off.

The application relates to a task scheduling method, device and computer equipment. The method comprises the following steps: obtaining task information of each to-be-scheduled task and resource states of each computing node in a computing cluster; wherein the task information of each to-be-scheduled task at least comprises data volume and data distribution information of processing data required by the to-be-scheduled task; determining execution time lengths of each computing node for executing each to-be-scheduled task according to the task information of each to-be-scheduled task and the resource states of each computing node; determining load imbalance degrees corresponding to each candidate scheduling strategy according to the execution time lengths of each computing node for executing each to-be-scheduled task; the candidate scheduling strategy comprises node allocation of each to-be-scheduled task; selecting a target scheduling strategy from each candidate scheduling strategy according to the load imbalance degrees corresponding to each candidate scheduling strategy; and scheduling each to-be-scheduled task based on the target scheduling strategy. The method can improve resource utilization and task processing efficiency.

The utility model relates to an aggregate crushing device. Comprising a mounting base, a crushing box structure is mounted on the mounting base, a material pressing assembly is mounted at a feeding port of the crushing box structure, and two crushing roller structures and two feeding guide plates are arranged below the material pressing assembly; a material guide plate is mounted below the two crushing roller structures, a fine crushing fixed cutter is mounted at the lower end of the material guide plate, and the fine crushing device further comprises a fine crushing assembly and an arc-shaped sieve plate; the rotary driving assembly is used for driving the two crushing roller structures and the fine crushing assembly to rotate; the material pressing assembly comprises a material pressing guide rail, a mounting plate seat is connected to the material pressing guide rail in a sliding mode, a material pressing plate is mounted at the lower end of the mounting plate seat, and the material pressing assembly further comprises a material pressing oil cylinder. The crushing roller structure comprises a roller shaft which is transversely arranged, and a plurality of spacer sleeves and coarse crushing tooth sleeves are installed on the roller shaft. According to the utility model, primary coarse crushing and secondary fine crushing can be carried out on aggregate, and downward pressure can be applied to the aggregate in the feeding process, so that the aggregate is prevented from idling above the crushing rollers.

This utility model relates to the technical field of return material devices, specifically an ear-type intelligent detection and real-time control mechanism for return materials. It includes a return material pipe with a detection component connected to it. One end of the return material pipe is inclined downwards and has a return material outlet, with the return material conveyor positioned below the outlet. This ear-type intelligent detection and real-time control mechanism, through the detection component, can control the start and stop of the return material conveyor. When no material is being returned, the conveyor remains stopped, preventing idling and saving energy. It also prevents unprocessed returned material from clogging the return material outlet.

The present application relates to a kind of optimization method and system of timing diagram subgraph matching.The method includes: time block is carried out to original timing diagram, and the edge with same end point is aggregated and compressed in each time block to generate intra-block multi-edge object, to build block index in turn;Query graph with time constraint is received, with the edge in query graph as matching unit to execute search, and maintain current legal time window;In candidate generation stage, according to current to be matched data vertex pair and current legal time window, construct cache key, and carry out exploration in hotspot cache;If hotspot cache is not hit, then use current legal time window to locate target time block, and execute intersection operation in target time block to generate candidate multi-edge list;When current to be matched data vertex pair meets preset hotspot condition, the candidate multi-edge list is written into hotspot cache;Continue to execute search based on the candidate multi-edge list of hit or generated candidate multi-edge list, until outputting model matching result.

This application relates to the field of water treatment technology, and discloses a control method, water treatment device, and medium for a water treatment apparatus. The method includes: in response to a venting command, a controller controls the venting valve to open and controls the water pump to start; after the water pump starts, a negative pressure is generated inside the hot tank; a one-way air inlet valve is configured to automatically open when its positive pressure value is greater than a first threshold, and a one-way air outlet valve is configured to automatically open when its positive pressure value is greater than a second threshold; during the venting process, the controller keeps the venting valve open and the water pump running until a preset venting termination condition is met. This application utilizes the automatic pressure response characteristics of a mechanical one-way valve to achieve adaptive adjustment of negative pressure during the venting process without the need for a pressure sensor and an electrically controlled air inlet valve, simplifying the control logic, reducing hardware costs, and improving venting efficiency and system reliability.

The utility model relates to sintering furnace technical field especially relates to a kind of automatic discharge mechanism of magnetic shoe sintering furnace, including base, the upper end of base is fixedly installed with sintering furnace main body, the left and right sides of sintering furnace main body are provided with import and export, the inside of sintering furnace main body is provided with sealing baffle, the lower end of sealing baffle is provided with moving block, the left and right sides of sealing baffle are provided with discharge platform, the side of discharge platform is provided with sealing door, the lower end of sealing door is provided with pulley, the surface of base is provided with sliding rail, the inside of base is provided with drive screw rod, the side of drive screw rod is provided with guide slide, the outside of sintering furnace main body is provided with cooling fan;The utility model rotates by control drive screw rod, makes moving block to drive sealing baffle from the import and export of sintering furnace main body one side to the import and export of other side, discharge platform in furnace moves to furnace outside at this time, discharge platform originally outside furnace moves to furnace, realize the simultaneous feeding of import and export.

The utility model provides a kind of bag type dust removal filter, including ventilation box, filter box and multiple filter bag assemblies, ventilation box bottom is equipped with vent, filter box bottom end is equipped with dust cleaning port, filter bag assembly both ends are open, vent and dust cleaning port are communicated, each filter bag assembly is configured with helical flow guide assembly, including threaded rod, rotating rod and the helical blade of adhering filter bag inner wall, form spiral airflow passage to make dust evenly distributed, threaded rod is connected with the closure plate for plugging vent by screw thread, it is linked with closure assembly by slide bar, drives latter telescopic to seal filter bag assembly.The utility model distributes uniform by spiral channel forced airflow, improves filtering efficiency and filter bag utilization, plugging plate and closure assembly linkage realize single group isolation, support online dust cleaning and replacement, guarantee continuous operation.

This invention discloses a control method for a pressure-engaged conveyor roller conveyor, as well as a battery storage rack and warehouse, relating to the technical fields of conveyor rollers, battery storage racks, and battery storage warehouses. This pressure-engaged conveyor roller conveyor solves the problem of increased energy consumption caused by the rotation (idling) of rollers without loads on traditional conveyor rollers, where the rollers are directly connected to the drive structure and not all rollers are transporting objects. The battery storage rack addresses the issue that existing battery storage racks lack conveyor equipment, requiring manual stacking of batteries. Furthermore, if the battery storage rack directly uses the structure of a traditional conveyor roller conveyor for position movement, batteries located further inside the rack cannot move (e.g., close to the back panel), leading to system malfunctions.

This utility model relates to an automatic feeding and receiving machine for electroplating products, including a conveying assembly. One end of the conveying assembly has a feeding component, and the other end has a receiving component. The conveying assembly includes a drive roller, a driven roller, and a conveyor belt. A drive motor is connected to the drive roller, and a turbine is connected to the drive motor. A worm gear meshes with the turbine. The feeding component includes a fixed plate, a feeding plate connected to the fixed plate, a conveyor plate below the feeding plate, a transmission belt in the middle of the conveyor plate, and a transmission rod on the transmission belt. The receiving component includes a base plate, a vertical rod on the base plate, a rotating rod mounted on the vertical rod, a bevel gear box connected to the rotating rod, the bevel gear box being connected to the driven roller, a slide rail on the base plate with a U-shaped groove, a sliding plate slidably connected to the slide rail with a V-shaped groove, a connecting rod hinged to one end of the sliding plate, the connecting rod being hinged to the rotating rod, a moving rod passing between the U-shaped groove and the V-shaped groove, and a suction cup on the moving rod.

This invention provides a method and system for intelligent allocation of computing resources for multi-task parallel training, relating to the field of computing resource management technology. It includes acquiring resource request information such as the computational requirements, storage capacity requirements, and communication bandwidth requirements of multiple tasks to be trained; abstracting computing resources into a resource pool composed of divisible and composable resource atoms; and combining these atoms to form resource quota units with computational capacity and available time indicators. A matching function is established between training tasks and resource quota units to quantify the supply-demand matching degree; a system of resource competition constraint equations is constructed to solve for the optimal allocation scheme, forming initial resource binding relationships and planning execution time slices. After parallel training starts, the resource consumption rate and training progress speed are monitored in real time; when a nonlinear deviation is detected, the resource quota units are dynamically disassembled and reassembled.

The application relates to the technical field of artificial intelligence, and provides an offline vector library building method and system, an electronic device and a storage medium, which comprise the following steps: obtaining a to-be-processed directory from an embedding queue, performing vectorization processing on each to-be-processed data under the to-be-processed directory, generating vector data and putting the vector data into a storage queue; obtaining the vector data from the storage queue and batch writing the vector data into a vector database; collecting the current queue depth of each stage queue according to a preset period, and dynamically adjusting target parameters based on the deviation of the current queue depth and a preset target interval, so that the current queue depth is maintained in the preset target interval, and the target parameters comprise the parallelism and / or batch size of the processing stage corresponding to each stage queue. Through the adaptive control strategy of dynamically adjusting the parallelism and batch size based on the queue depth deviation, load balancing and steady-state operation of the whole process of offline vector library building are realized, and the application has the advantages of high data processing throughput, strong system pressure resistance and high resource utilization rate.

The present application relates to the technical field of NC docking, and particularly relates to a self-adapting docking transmission device. The self-adapting docking transmission device comprises a bearing assembly composed of a bearing plate and a docking body, and a docking assembly composed of a dial, a guide piece and an adjusting piece. A driving motor is arranged on the bearing plate. The docking body is fixedly arranged. The dial is arranged on the docking body. The guide piece is arranged on the bearing plate. The adjusting piece is arranged on the guide piece. The dial arranged on the docking body cooperates with the guide piece, so that the docking precision range of the robot NC docking is expanded, and the error influence caused by the front end docking is eliminated. The guide piece is adjusted by the adjusting piece, so that the guide piece is reset in time after the docking is completed to perform the next docking. A second dial rod is arranged to avoid the problem that the dial rod rotates excessively to cause idling under the condition that the motor is reversed after the dial rod is lowered, so that the transmission after the docking can be fast.