45results about How to "Ensure correct execution" patented technology

An object of the invention is to provide a probe card capable of properly performing a measurement. A probe card according to the invention includes: probes 100 shaped to allow vertical elastic deformation; a supporting substrate 200 with the probes provided on the lower surface thereof; a main substrate 300 positioned opposing the upper surface of the supporting substrate 200; an intermediate substrate 400 disposed between the supporting substrate 200 and main substrate 300; a supporting member 500 that is a column-shaped member with one end thereof attached to the center of the supporting substrate 200 and the other end thereof attached to the intermediate substrate 400 and holds the supporting substrate 200 so that the supporting substrate 200 is inclinable; and elastic members for holding the supporting substrate 200 so that the supporting substrate 200 is in a horizontal position relative to the main substrate 300, which are provided between the supporting substrate 200 and main substrate 300.

The invention discloses an integrated control system for electric modification of an electric tractor, and belongs to the technical field of agricultural machinery. The system comprises a signal processing module, a health state evaluation module, a control decision module, an execution module and an optimization module, all the modules realize data interaction through the Ethernet, and the system is adaptive to heterogeneous hardware integration requirements after electric modification of a traditional fuel tractor. According to the invention, the health state evaluation module and the prediction model realize quick response and graded protection of high-voltage insulation, battery overheating and actuator fault scenes through clear quantification, and realize quantitative scoring of the health degree in the limitation of temperature, load and attitude coupling complex scenes; meanwhile, the time domain and frequency domain characteristics of the signals are extracted to provide a quantitative basis for evaluation, different actions of power reduction, speed limiting and emergency shutdown are triggered according to the health degree state, the situation that operation efficiency is affected by excessive protection is avoided, early warning can be conducted in the early stage of a fault, rapid protection can be conducted when the fault occurs, and the running safety and reliability of the tractor are improved.

The invention discloses a high-dimensional seismic data denoising method and device. The method comprises the following steps: segmenting a high-dimensional seismic data volume into a plurality of data blocks by using a sliding window; taking the data block with the corresponding de-noised data as a sample to obtain a sample set, and training a Transform model to obtain a de-noising model; and inputting a plurality of data blocks obtained by segmenting the high-dimensional seismic data volume into a denoising model, and obtaining a denoised seismic data volume of the high-dimensional seismic data volume according to an output result of the model. According to the method, intelligent suppression of high-dimensional seismic data noise can be realized by using high-dimensional features of seismic data based on a deep neural network Transform model, and the denoising precision is high.

This invention discloses a method, equipment, and storage medium for active heave compensation to prevent swaying in a folding boom crane, relating to the field of marine engineering technology. The method includes: calculating the horizontal target position of the lifting point before initiating heave compensation operation; predicting heave, roll, and pitch prediction information within the target time frame after initiating heave compensation operation; constructing and calculating the target rotation angle of the main boom and the folding boom based on a system of two nonlinear equations; calculating the target displacement required for active compensation in the vertical direction by the hydraulic winch based on a vertical spatial position transformation model; using the target rotation angle of the main boom, the target rotation angle of the folding boom, and the target displacement as tracking targets, calculating the control signals for the hydraulic motor / pump, the main boom hydraulic cylinder, and the folding boom hydraulic cylinder; and driving the main boom, the folding boom, and the winch to operate based on the control signals. This invention can effectively counteract the interference of roll and pitch motion on the horizontal position of the lifting point, suppressing the swaying tendency of the load at its source.

The invention discloses a voice interaction graphene AI intelligent tea table control method, and relates to the technical field of home voice interaction, and the method comprises the control steps: S1, monitoring a surrounding user instruction based on a built-in microphone of a tea table, and after the tea table receives the voice instruction, synchronously carrying out the preliminary noise reduction processing, and retaining the voice segment of the instruction; s2, training a data set containing a noise scene, enabling a built-in model to learn features for distinguishing voice and noise, and filtering non-voice signals in real time; and S3, for dialects and accents in different regions, collecting a scale data set, training a dialect recognition model, and inputting the obtained voice signal into the dialect recognition model to recognize and judge the current dialect and accents. Through preliminary noise reduction and microphone array layout, the voice acquisition quality is improved, and instruction omission is reduced; secondly, by training a multi-noise scene data set, the adaptability of the model to a complex environment is enhanced, and reliable recognition is guaranteed; and aiming at dialects and accent optimization, the product universality is improved.

The present disclosure provides an object detection method, an object detection device, an electronic device and a computer readable storage medium, which belong to the technical field of wireless communication. The method comprises: receiving a first echo signal of a first probe signal sent by a first base station to a detected object; analyzing the first echo signal to determine communication awareness information; eliminating offset information in the communication awareness information to determine intermediate data; performing feature decomposition based on the intermediate data to determine a signal transmission posture parameter of a second probe signal sent to the detected object; sending the second probe signal to the detected object according to the signal transmission posture parameter, and receiving a second echo signal of the second probe signal to determine an object detection result of the detected object according to the second echo signal. The present disclosure can accurately and effectively detect the detected object through multiple base stations.

The application relates to the technical field of additive manufacturing, in particular to a multi-channel feeding assembly, a consumable box and an additive manufacturing device, wherein the multi-channel feeding assembly comprises a base and at least two groups of parallel feeding units; the feeding unit comprises a driving mechanism, a driving extrusion wheel and a driven extrusion wheel; the driven extrusion wheel is coaxially provided with a rotating part; and a sensor is arranged beside the rotating part to collect the rotating signal of the rotating part. The above arrangement can realize closed-loop feedback control, directly measure the conveying amount in real time, compensate for errors, ensure printing precision and mixing ratio, detect abnormalities in real time, avoid printing failure and waste, improve flexibility, simplify consumable replacement, adapt to multi-material printing requirements, and effectively solve the problems that the prior art cannot accurately monitor the conveying of consumables in real time, has accumulated errors in open-loop control, and cannot respond to feeding abnormalities in real time.

This utility model relates to the technical field of latex glove bundling devices, and more particularly to a semi-automatic bundling machine for tensile-reinforced latex gloves; it includes: a pusher plate slidably connected to a mounting frame; a second lead screw rotatably connected to the back side of each pusher plate; a drive shaft rotatably connected within the mounting frame; a bevel gear set consisting of three bevel gears, respectively fixedly connected to the central second lead screw and two drive shafts; a second motor fixedly connected within the mounting frame; and a second synchronous belt set disposed between the drive shaft and the second lead screw on the same side. This utility model, by automatically centering and stacking gloves, not only improves the neatness and positioning accuracy of glove stacking, but also effectively enhances the stability of glove bundling, avoiding loose bundling caused by glove misalignment; at the same time, it significantly shortens the bundling preparation time for a single batch of gloves, greatly improving the overall efficiency of glove bundling operations.

This invention relates to the field of multimedia video processing and playback control technology, specifically a video segment-level content management and control method and system, comprising: a time-series discrete mapping step: obtaining a server-side rule set and mapping it to a time-series state index structure with video durations divided into discrete-time graticles; an asynchronous look-ahead detection step: calculating the look-ahead time based on the current playback time using an independent asynchronous thread and reading the corresponding graticle data from the bitmap; an instruction generation and caching step: generating instruction objects based on graticle control identifiers using preprocessing logic and pushing them sequentially into an instruction circular queue; and a frame-level synchronous application step: checking the queue during main playback thread rendering, and applying the instruction if the current time matches the instruction trigger time. This invention reduces playback CPU usage, eliminates micro-stuttering caused by main thread blocking, and ensures accurate triggering of control logic at the frame level.

The invention discloses a method and a device for acquiring an irrigation map. The method comprises the steps of receiving an irrigation map generation instruction; identifying a preset target and tracking the preset target; acquiring depth information and corresponding deflection angle information of the preset target in a tracking process; generating an irrigation map of the irrigation area based on the depth information and the deflection angle information; the preset target is recognized, the depth information and the deflection angle information in the tracking process are collected, and the position information of the edge of the irrigation area can be determined according to the movement of the preset target around the irrigation area, so that the irrigation range of the irrigation equipment can be more accurately obtained, the irrigation map can be more accurately constructed, and the accuracy of irrigation map construction is improved; the irrigation work can be executed more accurately, the irrigation efficiency is improved, and water resources are saved.

This invention discloses a low-energy-consumption coal gangue grinding process control method and system based on model prediction, belonging to the field of industrial control technology. The method includes: obtaining the initial particle size distribution of the coal gangue raw material to be processed and the target particle size of the final product; constructing an optimization problem based on pre-trained and fixed specific prediction models and energy consumption prediction models at each level, using a joint parameter vector composed of the operating parameters of each level of grinding equipment as the decision variable, minimizing the total energy consumption of the entire process as the optimization objective, and ensuring that the particle size of the final product meets the target particle size as the constraint; iteratively solving the optimization problem by adjusting the joint parameter vector through a cascaded forward prediction strategy combined with an optimization algorithm until a preset termination condition is met; outputting the optimal joint parameter vector based on the iterative solution results, and distributing the optimal operating parameters of each level of grinding equipment to the corresponding grinding equipment. This invention effectively reduces the total energy consumption of the entire coal gangue grinding process.

The utility model discloses a locking structure of butterfly valve handle, including the connecting frame of fixed in the top of butterfly valve, one side of connecting frame top is provided with rotating mechanism, and the other side of connecting frame top is provided with the bayonet lock mechanism, the bayonet lock mechanism includes the mount pad of fixed on the outer wall of connecting frame top, and the inside of mount pad is slidably provided with the bolt, and one side of bolt is fixedly connected with connecting rod no.

This application provides a light and shadow control method, system, electronic device, and computer-readable storage medium, relating to the field of light and shadow control technology. The light and shadow control method includes: acquiring ambient light data, ultraviolet (UV) data, and user interaction commands; determining the current target scene mode based on the user interaction commands and / or the ambient light data; calculating the basic transmittance of an electrochromic film and the basic light and shadow parameters of a light-emitting device based on the target scene mode; determining whether the UV data exceeds a preset protection trigger threshold; if the UV data exceeds the preset protection trigger threshold, performing a gradient adjustment on the basic transmittance based on the UV data and adjusting the output spectrum of the light-emitting device to generate protection control parameters; wherein the protection control parameters are used to control the electrochromic film and the light-emitting device to perform actions.

This application relates to a vehicle-side software architecture, a vehicle's electronic and electrical architecture, and a vehicle, falling under the field of vehicle technology. The vehicle-side software architecture includes a cross-domain service layer, an enhanced service layer, an atomic service layer, and a device abstraction layer deployed on the vehicle's area controller and communicating sequentially, as well as an electronic control layer that communicates with the enhanced service layer. The cross-domain service layer is used for communication between the area controller and other vehicle domain controllers. The enhanced service layer performs logical judgments on control request signal groups and transmits target control signals to the cross-domain service layer and the atomic service layer. The atomic service layer, based on the target component control service pointed to by the target control signal, calls the device abstraction layer to control the corresponding vehicle components to perform control functions. The device abstraction layer provides a standard abstraction of hardware interfaces to enable communication between components and the atomic service layer. The electronic control layer provides a standard interface for communication protocol interfaces to enable communication between components and the enhanced service layer. This approach is beneficial for improving the overall vehicle intelligence level and development efficiency.

This invention discloses a method, apparatus, device, and medium for debugging voltage regulator chips, relating to the field of server technology. The solution provides a voltage regulator chip debugging adapter board, specifically connecting a voltage regulator chip debugging tool via a first preset bus and a motherboard's baseboard management controller via a second preset bus. Because the motherboard has an external second preset bus interface, no adjustments to the motherboard's chassis environment are required when connecting the voltage regulator chip debugging adapter board to the baseboard management controller, simplifying operation. The debugging process of the voltage regulator chip is entirely controlled by the voltage regulator chip debugging adapter board, eliminating the need for remote firmware flashing and ensuring high stability. Furthermore, troubleshooting output voltage faults eliminates the need for multimeters and oscilloscopes, significantly improving debugging efficiency.

This invention relates to the field of data management technology, specifically to an intelligent flow scheduling method for high-performance oil circuits in sheet metal pipeline networks. The specific implementation process includes: establishing a distributed intelligent execution entity and a resource optimization model based on a sheet metal pipeline network containing schedulable units and production management information including historical performance baselines and production plans; the distributed intelligent execution entity acquires and evaluates the operating data of the schedulable units to generate real-time status data; combining the real-time status data and historical performance baselines to analyze drift trends and generate performance degradation data; based on the production plan and performance degradation data, quantifying the comprehensive operating cost as the objective function to calculate and generate resource allocation strategies and work instructions; and the distributed intelligent execution entity combining work instructions, real-time status data, and performance degradation data to execute dynamic compensation management and generate scheduling instructions. This invention optimizes resource allocation by evaluating the real-time and long-term status of equipment, achieving risk avoidance and dynamic cost optimization.

The invention provides a multi-user resource management method and system in a wireless communication system. According to the method, the dynamic energy consumption characteristic is generated based on the equipment state information and the real-time power consumption information of the Internet of Things equipment, the resource demand combination is determined by combining the dynamic energy consumption characteristic and the service data characteristic of the service data to be transmitted, and the uplink channel condition is obtained by performing channel detection on the uplink of the Internet of Things equipment. And generating a resource allocation strategy according to the resource demand combination and the uplink channel condition, and dynamically allocating a transmission resource unit to the Internet of Things equipment based on the resource allocation strategy. According to the technical scheme provided by the invention, the accuracy, the energy efficiency and the overall adaptability of system resource allocation are improved, and the coordination and the high efficiency of multi-user service transmission are also ensured.

This invention discloses an image-guided method and system for dynamic positioning and correction of radiotherapy target areas, belonging to the field of medical technology. The invention includes an image acquisition module, a data processing module, an instruction generation module, an execution control module, an accuracy monitoring module, an anomaly handling module, and a data storage module. By combining voxel reconstruction algorithms with human anatomical parameters to construct a high-precision three-dimensional model of the target area, it maximizes the preservation of the target area's anatomical features and spatial morphology, eliminates image noise and general model bias, and effectively reduces positioning errors caused by the original data and model construction. By calculating the offset and transforming it into equipment-adaptive correction instructions through spatial coordinate transformation, it balances real-time performance and accuracy, resists interference from target area movement and equipment noise, and achieves precise adaptation and efficient execution of correction instructions. By real-time acquisition of corrected images to monitor positional accuracy, it ensures that the target area's positional accuracy always meets clinical requirements and promptly avoids radiotherapy risks.

The application discloses a kind of curved surface film covering flatness dynamic monitoring and optimization method of embodied robot, it is related to flexible electronic manufacturing technical field, and this method includes: coarse adjustment step, by projection device projection interference fringe to flexible film material surface, by first camera image acquisition and calculate first height distribution and global flatness index, by first controller driving clamp is adjusted, so that index satisfies first threshold value;Fine adjustment step, by stereo vision system obtains film material three-dimensional topography and obtains second height distribution, compares it with target topography and obtains residual error, based on residual error and pre-calibrated clamp-topography sensitivity matrix, by the optimization model with regularization calculation each clamp fine adjustment amount and drive execution, so that flatness index satisfies more strict second threshold value;Coarse adjustment and fine adjustment are cyclically executed, and control weight is dynamically adjusted to realize smooth transition and closed-loop control.The application realizes the high-precision, adaptive flatness control of film covering on complex curved surface.

The invention relates to a training method of a song information auditing model and a song information auditing method, and relates to the technical field of text auditing. The method comprises the following steps: acquiring sample data; the sample data comprises sample song information and a sample audit result of the sample song information; the sample auditing result comprises auditing results of a plurality of preset dimensions; auditing the sample song information through the reference large language model, and generating a plurality of first auditing results of the sample song information; each first auditing result comprises auditing results of a plurality of preset dimensions; determining a second auditing result in the first auditing results based on the sample auditing result, wherein the difference between the second auditing result and the sample auditing result meets a preset difference condition; and training the reference large language model based on the similarity between the second auditing result and the sample auditing result under each preset dimension to obtain a target song information auditing model. By adopting the method, the reliability of song information auditing can be improved.

The present inventive concept provides a substrate processing apparatus. The substrate processing apparatus includes at least one sensor configured to measure a condition of the substrate or the apparatus during the processing of the substrate, a data collection unit configured to collect data measured by the sensor in a time series, and a data processing unit configured to learn the data collected by the data collection unit to detect a change in current data measured by the sensor. The data processing unit includes a data learning unit configured to learn past data collected by the data collection unit using a twin network, and a data checking unit configured to detect whether a problem has occurred in the current data based on the learned data.

The application provides a workflow scheduling method and device, an execution engine, equipment and a program product. The method comprises the following steps: determining a current layer node based on a topological relationship between nodes in a target workflow and execution states and / or execution results of the nodes; the current layer node comprises a start node of the target workflow or a post-node of a previous layer node in each branch path of the target workflow; when the current layer node is not empty, executing each current layer node based on target attribute information of each current layer node. The above-mentioned workflow scheduling method can effectively improve the execution efficiency of the target workflow while ensuring the correct execution of the target workflow.

This invention provides an energy-saving intelligent temperature control system for cooling rooms in cattle and sheep slaughterhouses, comprising the following functional modules: a data sensing and preprocessing module: collecting relevant characteristic data on temperature control safety in the cooling room and preprocessing the raw data; a comprehensive cooling safety assessment module: generating characteristic data scores from the preprocessed relevant characteristic data and generating a comprehensive cooling safety index; a model cognition confidence assessment module: collecting confidence assessment factors in the intelligent temperature control system and generating a model cognition confidence index; and a comprehensive decision-making and mode adaptive switching module: generating a comprehensive decision index based on the comprehensive cooling safety index and the model cognition confidence index. This invention constructs a comprehensive cooling safety index and a model cognition confidence index, enabling the system to provide cooling on demand, dynamically allocate control permissions, and proactively degrade operation when model cognition is insufficient, effectively improving the intelligence level and operational reliability of the temperature control system.

The invention discloses a harvester reinforcement learning header control system and method and related equipment, and relates to the technical field of harvester header control, in the system, a data acquisition module is used for acquiring multi-dimensional data in the operation process of a harvester in real time; the data filtering and deep learning module is used for performing filtering processing on the multi-dimensional data, and performing feature extraction and state recognition on the filtered image data by using an artificial intelligence mode to obtain an environment state vector representing a current working environment and a header working state; the reinforcement learning decision module is used for iteratively optimizing a control strategy based on a reinforcement learning algorithm and historical interaction data and generating a header control instruction and a vehicle walking correction instruction according to the current environment state vector; the execution module is used for receiving the header control instruction and the vehicle walking correction instruction and controlling the harvester according to the header control instruction and the vehicle walking correction instruction. According to the invention, real-time coordinated regulation and control of the header height and the vehicle running speed are realized, and the manual intervention demand and the fault occurrence rate are reduced.

The embodiment of the invention relates to the field of power systems, and provides a distributed new energy active power automatic control method and device based on a multi-source cooperative control framework, computer equipment and a storage medium. Constructing to obtain a multi-objective optimization model; solving the multi-objective optimization model by adopting a parallel optimization algorithm with an elitism strategy to obtain an optimized power distribution scheme; and based on a high-speed communication technology and an inverter accurate modulation technology, executing a control instruction associated with the optimized power distribution scheme. By adopting the method, the power control effect of the distributed new energy power system can be improved.

The application discloses a kind of mobile control terminal, comprising: one or more touch modules, touch module is used to generate control instruction, control instruction can trigger air conditioning equipment to perform pre-configured operation;Bluetooth low power consumption module, bluetooth low power consumption module can work in broadcast mode, continuously send broadcast packet including control instruction;Wherein, broadcast packet is received and parsed by distributed control system in communication range;Distributed control system includes communication connected control device;Distributed control system is based on the signal intensity filtered and sorted based on parsed, selects target control device from it and sends target identification;Target control device sends the control instruction received from broadcast packet to the air conditioning equipment connected with communication;Also provide a kind of control device and a kind of air conditioning system.This application does not need to be matched, also does not need to be used in straight line unobstructed environment, and energy consumption is extremely low, battery dependency is low.

This application provides a comprehensive energy optimization scheduling system and method based on big data analysis. It acquires historical and real-time monitoring data from multiple energy sources; identifies pattern similarity characteristics between renewable energy output curves and load demand curves from historical operating data; and divides the energy optimization scheduling cycle into multiple non-uniform scheduling periods based on these pattern similarity characteristics. It determines the predicted values ​​of renewable energy output and load demand, as well as the associated power deviation confidence intervals, for each non-uniform scheduling period. When the real-time power prediction deviation in a future non-uniform scheduling period exceeds the corresponding power deviation confidence interval, it reallocates power resources for the future non-uniform scheduling period, generating power adjustment instructions for global energy optimization scheduling; and performs comprehensive energy optimization scheduling based on big data analysis using these power adjustment instructions. The technical solution provided in this application can achieve optimized scheduling of comprehensive energy resources under the influence of power imbalance.

This invention relates to a desktop image acquisition and encoding method and apparatus, belonging to the field of cloud desktop technology. The specific technical solution is as follows: An independent acquisition and encoding thread is created; within the acquisition and encoding thread, the pre-configuration of the graphics card for acquisition and encoding is completed; within the acquisition and encoding thread, a cyclic acquisition and encoding process is started, sequentially executing acquisition parameter configuration, calling the graphics card acquisition interface to complete desktop image acquisition, acquisition result processing, image resource registration to the graphics card encoder, calling the graphics card encoding interface to complete image encoding, encoding result processing, and bitstream extraction and transmission operations; after the acquisition and encoding task is completed, the cyclic acquisition and encoding process is terminated, the acquisition session and encoder session are destroyed, the corresponding resources are released, and the acquisition and encoding thread is reclaimed. This disclosure can improve the desktop rendering frame rate and image acquisition frame rate.

A device for cutting a tethered bladder for closing a container is disclosed wherein the cutting device comprises: a first set of horizontal blades coplanar with each other; a second set of horizontal blades coplanar with each other and vertically spaced apart from the horizontal blades in the first set; and a set of transverse blades arranged for engaging the horizontal blades together so as to create two connecting straps between the tamper-evident tape and the side wall of the capsule, and another transverse blade terminating on one side at a midpoint of one of the horizontal blades and at a free point on the opposite side, i.e., at least one of the horizontal blades, the other transverse blade is not adjacent to any blade such that the transverse groove created by this other transverse blade ends with an end completely surrounded by the portion of the capsule that is noted not to break.

This invention discloses a method and storage medium for intelligent analysis and construction of temporary roads based on BIM technology, aiming to solve the problems of existing technologies relying on manual labor, low planning efficiency, and lack of dynamic analysis capabilities. The method first acquires topographic point cloud, historical traffic flow, and obstacle information of the construction area through multi-source data collection, and constructs a 3D BIM scene integrating terrain, road network, and obstacles. Then, based on preset start and end points and road layout areas, the system automatically generates a 3D model and preliminary plan for the temporary road using built-in algorithms and a parameterized family library. Next, dynamic simulation analysis is performed using historical traffic flow data to optimize road parameters and complete collision verification, outputting a file package containing the model, analysis report, and construction parameters. Finally, visual construction guidance is provided via a mobile terminal. This invention achieves intelligent management of the entire process from data to construction, significantly improving the accuracy, efficiency, and economy of temporary road planning.