166results about How to "Achieve accuracy" patented technology

The invention discloses a respiratory disease oxygen precise conveying system based on a sensor, and relates to the technical field of medical equipment, and the system comprises a sensing module which integrates multiple sensors to collect and process airway and physiological data of a patient; the disease matching module identifies disease types through database comparison; the dynamic adaptation module calculates exclusive oxygen concentration based on a multi-mode fusion initial algorithm; the conveying module executes adjustment; the closed-loop feedback module continuously fine-tunes the oxygen concentration through a closed-loop stepped fine-tuning algorithm to form a closed-loop link, so that accurate dynamic control of oxygen delivery is realized; according to the invention, multi-sensor collaborative acquisition and disease precise matching are combined with a dynamic algorithm and closed-loop feedback, so that individuation and dynamic oxygen delivery are realized, the system avoids misjudgment by relying on a standardized database, and the oxygen concentration, flow and pressure are ensured to be adjusted in real time along with physiological indexes of a patient through multi-parameter collaborative adjustment and stepped fine adjustment; the treatment comfort, the effectiveness and the long-term adaptability are improved.

The invention provides a power business anti-quantum cryptography migration progressive control method based on risk awareness, and belongs to the technical field of migration control, and the method comprises the steps: collecting key parameters of all to-be-migrated businesses in a power system, carrying out the standardization preprocessing of the collected key parameters, and constructing a business feature matrix; acquiring relevant parameters of quantum attacks in real time, and calculating a real-time quantum attack risk value of each service to be migrated; based on the service feature matrix and the real-time quantum attack risk value, constructing a dynamic migration rhythm adaptation model, and calculating a migration priority, a migration rate and a migration interval of each service to be migrated; and constructing a migration fault-tolerant and recovery model, monitoring the migration process in real time, calculating a fault influence range and recovery cost based on fault information, and executing corresponding adjustment operation. Accurate, dynamic and high-reliability control of anti-quantum password migration of the power business is realized, safe and stable operation of the power business in the migration process is guaranteed, and the migration efficiency and the anti-quantum attack capability are improved.

The utility model discloses a welding H-shaped steel beam positioning and drilling device which comprises a bottom plate, a stopping plate is fixed to one end of the top of the bottom plate, two mounting plates are fixed to the other end of the top of the bottom plate, transverse grooves are formed in the two sides of the top of a fixing plate, and inclined grooves are formed in the two sides of one end of the top of the fixing plate. First rolling wheels are arranged in the transverse grooves in a rolling mode, connecting rods are rotatably connected to the tops of the first rolling wheels, second rolling wheels are rotatably connected to the tops of the two connecting rods, and moving plates are arranged at the ends, close to the stopping plate, of the two mounting plates; clamping plates are fixed to the faces, close to each other, of the two movable plates. According to the H-shaped steel beam drilling device, the effect of clamping and fixing the H-shaped steel beam in the drilling process of the H-shaped steel beam is achieved, through linkage of the mounting frame and the connecting rod, the cost of additionally needing a driving device to fix the H-shaped steel beam is saved, and the energy-saving and environment-friendly effects are achieved.

The invention discloses a cloud edge end collaborative computing power scheduling system supporting task dynamic migration, which relates to the technical field of intelligent computing power scheduling and comprises a path modeling module, a conflict identification module, a time sequence checking module, a rehearsal switching module and an interference suppression module, and constructing a routing convergence time sequence profile and a link playback spectrum, modeling an overlapping window of the old path and the new path and a life cycle of a control signal, and generating a path evolution baseline for subsequent conflict identification. By means of path modeling, fingerprint identification, causal check, shadow rehearsal, interference suppression and the like, time sequence consistency of a control instruction and a data stream, continuous path switching and real-time extinguishing of link interference are realized, and the stability and reliability of cloud edge collaborative scheduling are improved.

The invention provides a digital quantum simulation method, which comprises the following steps of: performing symmetry analysis and subspace decomposition on a target Hamiltonian to obtain an effective Hamiltonian and a symmetry constraint condition; constructing a target unitary operator according to the effective Hamiltonian, and initializing a quantum circuit population of the target unitary operator; calculating entanglement characteristics of each quantum line in the quantum line population, performing structure variation on the quantum line population based on the entanglement characteristics, and performing line fragment crossing in combination with a symmetry constraint condition to obtain a candidate line set; performing line parameter optimization on the candidate line set based on the fidelity gradient to obtain an optimized line set, and extracting gate distribution structure features of the optimized line set; and non-uniform sampling is carried out on the optimized line set based on gate distribution structure characteristics to obtain a sampling line subset, an optimal quantum line is screened out from the sampling line subset based on the deviation between an experimental observation value and a theoretical expected value, and quantum simulation is carried out based on the optimal quantum line.

The invention discloses an image generation method and device, electronic equipment and a storage medium, and belongs to the technical field of electronic equipment.The method comprises the steps that a motion vector field is calculated based on a video sequence; wherein the motion vector field comprises pixel-level motion information of each image frame in the video sequence; generating a dynamic region mask based on the amplitude information of the motion vector field; wherein the dynamic region mask is used for identifying dynamic pixels and static pixels in the video sequence; determining a static background and at least one dynamic element from the video sequence based on the dynamic region mask; and performing synthesis processing on the dynamic element and the static background to generate a dynamic low-light image.

The invention relates to the technical field of information management, in particular to a material digital management system and method based on a cloud platform. The method comprises the following steps: acquiring material data; distributing a material storage space by using the material data; receiving an operation message of the storage space, and pushing the operation message to an inventory database; creating a circulation record table and an inventory state table; using the operation message in the inventory database to update a circulation record table, and recording circulation data; automatically updating an inventory state table according to the circulation data so as to determine the material inventory capacity; when the material inventory capacity is lower than or equal to a preset safety inventory threshold value, management early warning information is generated; and when the material inventory capacity is higher than a preset safety inventory threshold value, updating the management safety field of the inventory state table. The material inventory is monitored in real time based on the information management technology, the replenishment information is intelligently generated, inventory dynamic management is achieved, and the material management efficiency is improved.

This invention provides a method and system for predicting vehicle speed in commercial vehicles using the E-Power architecture, relating to the field of commercial vehicle speed measurement technology. First, vehicle operating data is collected via hardwired and CAN bus lines. Second, the PCA method is used to extract features from the collected vehicle operating data, obtaining variables highly correlated with vehicle speed, which serve as input to the speed prediction model, improving computational efficiency. Finally, a speed prediction model is established based on a recursive fuzzy neural network and a multi-step prediction strategy, achieving accurate prediction of vehicle speed during operation and improving fuel economy and driving comfort.

The invention relates to a port toughness optimization method and system based on a traffic network and power grid coupling model. The method comprises the steps of obtaining system configuration and structure parameters of a traffic network and a power grid of a port; calculating the container throughput of the port in the initial state before an extreme event occurs in the port; after an extreme event occurs in the port, according to the traffic network and power grid coupling model, gradually calculating the operation state of a coupling network formed by the traffic network and the power grid at each moment, and calculating the container throughput of the port in the lowest state; after the port is repaired, a recovery strategy is obtained step by step according to the traffic network and power grid coupling model so as to repair the port, and the container throughput reaching a stable state after the port is recovered is obtained; and according to the container throughput of the port in the initial state, the lowest state and the stable state, calculating a port toughness index so as to carry out port configuration optimization. Compared with the prior art, the method realizes accurate and complete quantitative evaluation and optimization of port toughness.

This invention relates to an intelligent decision support system for rectal cancer prognosis integrating digital pathological images, belonging to the field of medical image processing technology. The system includes a data acquisition module for collecting multiple sets of sample data; a feature selection module for identifying multiple key medical imaging features of rectal cancer based on the multiple sets of sample data; a model building module for acquiring a pre-trained deep learning model and constructing a rectal cancer prognosis prediction model based on transfer learning, the pre-trained deep learning model, the multiple sets of sample data, and the multiple key medical imaging features of rectal cancer; an image acquisition module for acquiring pre- and post-operative medical images of the rectal cancer patient to be evaluated; and a recurrence prediction module for predicting the recurrence probability of the rectal cancer patient to be evaluated based on the pre- and post-operative medical images of the patient using the rectal cancer prognosis prediction model. This system has the advantage of improving the accuracy of non-invasive prediction of postoperative recurrence of rectal cancer.

The invention discloses a low-altitude economic unmanned aerial vehicle motor operation detection method and system, and relates to the technical field of unmanned aerial vehicle motors. According to the method, original parameters of the unmanned aerial vehicle motor are collected, a voltage balance equation of the motor is formed according to the original parameters, and after the voltage balance equation is simplified, torque constants are identified in real time by using a recursive least square algorithm so as to output a torque constant sequence with a timestamp; secondly, calculating and quantifying the support degree of each torque constant for degradation hypothesis through a probability density ratio so as to output an accurate early warning result, quantifying a historical stress event into a magnetic flux loss value through a stress damage accumulation model, and calculating and obtaining a degradation amplitude according to a degradation amplitude self-adaptive adjustment formula; and the detection sensitivity is dynamically adjusted according to the accumulated demagnetization degree of the unmanned aerial vehicle, the early warning capability for a high-risk motor is improved, excessive alarm of a low-risk motor is avoided, and precision and intelligence of predictive maintenance are realized.

This utility model relates to the field of stamping equipment technology, specifically to a stamping device with a positioning structure. It includes a stamping device body, a hydraulic telescopic assembly vertically mounted on the upper part of the body, and a horizontally connected upper mounting plate. A punch and a positioner are mounted on the lower side of the upper mounting plate. A stamping table is mounted below the punch, and a driving cavity is provided within the stamping table. A slotted hole communicating with the driving cavity is provided on the upper side of the stamping table. A positioning post is vertically arranged within the slotted hole, and its lower end is connected to the output end of a hydraulic rod within the driving cavity. A hydraulic rod is arranged along the length of the slotted hole within the driving cavity. At least three slotted holes are arranged radially from the center on the upper side of the stamping table. A punch is located above, and a positioner is welded to each side. The hydraulic rod and positioning posts are all matched. Four positioning posts penetrating the outer wall are mounted on the upper part of the stamping table, and the lower part is connected to a support platform. This solves the problem of needing to change different dies for positioning when stamping workpieces of different sizes.

The invention provides a power distribution network resource scheduling method and system based on computing power network integration, and belongs to the technical field of data processing and resource scheduling, and the method comprises the steps: obtaining a plurality of communication signals and a plurality of corresponding service requests, and packaging the communication signals and the service requests into a plurality of standardized data; corresponding response tasks are generated according to the service requests, and task resource requirements of the response tasks are determined; performing resource scheduling on each response task according to each task resource demand and a preset resource scheduling model, and determining resource configuration of each response task; according to each resource configuration, scheduling and allocating a plurality of virtual resources to each response task from a preset resource pool; and according to each response task and a plurality of corresponding virtual resource units, carrying out data processing on each piece of standardized data, so that by implementing the method and the device, the problems of relatively low utilization rate of power distribution network resources and inflexible scheduling in the prior art can be solved.

This invention discloses a cable tray box and a handcart-type switch cabinet having the same, comprising a box body, a stripping component, an anti-pull component, and a straightening component. The stripping component, installed inside the box body, can strip the cable sheath. The anti-pull component, installed inside the box body, limits the cable winding and prevents the other end of the cable from being pulled or causing the cable end with the terminal to fall off during the stripping process. The straightening component, installed inside the box body, straightens the bent cable, restoring it to a straight state. By integrating the stripping component, the anti-pull component, and the straightening component, this invention achieves precise stripping, effective anti-pull, and automatic straightening, thereby improving cable routing efficiency, safety, and reliability. It solves the problems of inaccurate stripping, easy pulling of cables leading to loosening, and bending caused by clamping that exist in traditional handcart-type switch cabinets during the cable routing process.

This invention provides a spraying workstation and its spraying control method for local repair, relating to the field of spraying technology. It includes: a movable main frame structure; a multi-functional spraying worktable integrated into the cavity of the main frame structure, including a customized tabletop, and flexible adsorption fixtures, a collaborative robot, and a quick-change docking base mounted on the customized tabletop; a composite process quick-change system integrated into the quick-change docking base, including multiple tool trays and quick-change locking mechanisms mounted on the tool trays; and a vision system and a host controller integrated into the cavity of the main frame structure, communicating with the multi-functional spraying worktable, the composite process quick-change system, and the vision system to execute local repair control procedures and / or spray gun quick-change control procedures. This invention better adapts to non-standard parts, complex curved surfaces, or local repair scenarios, improving gun changing efficiency, spraying accuracy, and system integration.

This invention relates to the field of data processing technology, specifically a method for analyzing feed production losses. The method includes: simulating losses in the current production process; setting up monitoring points at various storage locations and equipment; determining a loss heatmap for each monitoring point using the deviation ratio of loss factors at those monitoring points; comparing the actual losses under different loss events with the target points whose loss heatmap distributions are consistent; setting loss characteristic components based on the average loss at the target points at any given time; solving the correlation constraints between the loss characteristic components based on the loss characteristic components at multiple time points; fitting the correlation constraints into a loss feature set in the form of a uniform loss distribution; statistically analyzing the proportion of each correlation constraint in the loss feature set; configuring priorities according to the proportion of correlation constraints; and adjusting production parameters accordingly. This improves the efficiency of feed production and the response speed of loss monitoring.

The application discloses a prostate cancer patient pelvic floor muscle recovery evaluation system based on artificial intelligence, which comprises an original data collection module, an original data optimization module, a time sequence double-end recovery evaluation model establishment module, a recovery evaluation model performance optimization module and a whole-cycle intelligent recovery evaluation module. The application relates to the technical field of medical data processing, in particular to a prostate cancer patient pelvic floor muscle recovery evaluation system based on artificial intelligence. The scheme innovatively proposes a time sequence double-end recovery evaluation model combining an in-hospital baseline end and a home continuous time sequence end, improves the real-time performance of patient pelvic floor muscle recovery evaluation, extracts short-term time sequence recovery features by using a bidirectional long short-term memory network, extracts long-term time sequence recovery features by combining an improved convolution residual network with a parallel activation function, significantly improves the accuracy of the recovery evaluation results, and introduces an improved optimization algorithm combined with a dynamic local search strategy, thereby significantly improving the stability and accuracy of the output results of the model.

The invention relates to the technical field of industrial engineering and production management, in particular to a method for automatically calculating standard working hours of a surface treatment process under a structured process, which comprises the following steps of: determining a target process and extracting a processing flow structure comprising up-hanging, equipment operation and down-hanging of the target process; collecting inherent attributes of a machining center and production tool configuration data of each stage; determining the material number of a single hanger and the hanger capacity of a unit production cycle; setting a reference production cycle; and integrating the parameters to establish a dynamic man-hour calculation model. And the batch number of materials to be processed is input into the model, so that the corresponding total standard working hours can be automatically calculated. According to the method, automation of man-hour calculation is achieved, the actual production rhythm is accurately reflected by the calculation result by quantifying physical constraints and responding to batch changes, and a reliable time reference is provided for production plans and resource scheduling.

The invention discloses an API path aggregation identification method and device and a storage medium, and relates to the technical field of electronic digital data processing, and the method comprises the steps: carrying out the preliminary aggregation identification of API path data based on the path structure features of the API path data; if the preliminary aggregation identification is not successful, performing deep aggregation identification on the API path data based on word segmentation features and / or statistical features of the API path data; and generating an aggregation identification result of the API path data. According to the method and the device, the API path aggregation identification accuracy is improved.

The invention provides a magnetic suspension generator rotor vibration suppression device and method, and belongs to the technical field of magnetic suspension generators, and the device comprises an electromagnetic bearing, a passive magnetic bearing and a damper; the electromagnetic bearing comprises an iron core and two coil assemblies, the iron core is installed on the outer wall of the rotor, and the two coil assemblies are arranged around the iron core; the passive magnetic bearing comprises an inner-ring permanent magnet and an outer-ring permanent magnet, the inner-ring permanent magnet is mounted on the outer wall of the rotor, the outer-ring permanent magnet is mounted on the inner wall of the generator shell, and the two corresponding permanent magnets have the same magnetism; the damper is installed on the generator and provided with a damping body and a stress sensor, one end of the rotor is connected to the damping body, and one end of the damping body is connected to the stress sensor. According to the magnetic suspension generator rotor vibration suppression device provided by the invention, by virtue of the radial and axial targeted suppression design, the out-of-control galloping of the rotor caused by excessive vibration is effectively avoided, and the operation stability and safety of the generator are guaranteed.

The present application relates to the technical field of design work display, and specifically relates to an environmental design work display system, which comprises a model extraction module, a three-dimensional laser scanner is used to scan a design work model, point cloud data is obtained, and a digital twin model is generated; an intelligent detection module is used to detect the digital twin model and identify design defect areas; a dynamic optimization module generates a plurality of parameter adjustment schemes for each defect area; and an interactive display module synchronously displays an original design, optimization schemes and key index comparison data in a side-by-side view, and supports a user to select and apply an optimization scheme in real time. The present application generates a digital twin model through three-dimensional laser scanning, automatically detects key parameters such as fire passage width and energy-saving heat transfer coefficient in combination with a specification database, and calculates defect severity scores, so as to realize the precision of problem positioning and the priority of sorting.

The present application relates to the technical field of traditional Chinese medicine preparation, and particularly relates to a method and system for optimizing a frying process of traditional Chinese medicine decoction pieces. Formula information and process requirements of target traditional Chinese medicine decoction pieces are obtained; a frying process scheme of similar traditional Chinese medicine decoction pieces is retrieved from a traditional Chinese medicine frying expert knowledge base; initial parameters are generated by fusing the frying process scheme; first-round frying is performed; process data are collected by a multi-modal sensor; adjustment suggestions are proposed by experts; parameter adjustment schemes are generated in combination with the expert suggestions and the process data; interactive optimization is performed for multiple rounds; and optimal frying process parameters are recorded and stored in the knowledge base. By constructing a formula information-driven knowledge retrieval mechanism, a multi-modal sensing monitoring system, a parameter adjustment strategy combining expert evaluation and data analysis, and an interactive iterative optimization framework, a closed-loop optimization system is formed, and technical problems such as difficulty in knowledge reuse, single process monitoring, lack of systematic support for parameter adjustment, and insufficient human-machine cooperation in traditional Chinese medicine frying processes are solved.

The application provides a big data direct driving application generation and adaptation method of a semantic reasoning engine, relates to the technical field of artificial intelligence, and comprises the following steps: analyzing a big data source and constructing a data semantic graph by an AI semantic reasoning engine; deducing an application component structure based on graph semantic features, and establishing a direct binding relationship between the component and the graph node; selecting and instantiating a component template according to the semantic attributes of the binding node, and generating an executable application. During the application running, the data source is monitored and the graph is incrementally updated, the affected component instance is positioned and locally reconstructed through a difference vector, and the automatic synchronization and adaptation of the application and the data change are realized.

This invention provides a method and system for mine ecological restoration, relating to the field of ecological environment restoration technology. The method includes: obtaining soil damage characteristics based on a pre-acquired ecological area to be restored; obtaining a mine geological composition based on the soil damage characteristics and pre-acquired restoration goals, combined with geological soil selection principles; obtaining a plant species composition based on sampling results from pre-acquired sample plots and restoration goals; and performing ecological restoration of the ecological area to be restored based on the mine geological composition and plant species composition. This invention accelerates the process of geological soil formation and vegetation restoration in abandoned open-pit mines, improves the tolerance of restored vegetation communities to climate fluctuations, and truly achieves precise and sustainable ecological restoration of open-pit mines.

The utility model discloses a kind of edge banding cloth cutting machines, including cutting frame and controller, cutting frame is sequentially arranged in cutting knife mechanism, clamping mechanism and opening upward collecting container, the lower part of cutting knife mechanism is provided with the rotary drive device of driving its rotation, clamping mechanism is provided with the translation drive device of driving its translation along the length direction of collecting container, cutting knife mechanism, rotary drive device, clamping mechanism and translation drive device are connected with controller and are controlled by it.The utility model of a kind of edge banding cloth cutting machine, through the collaborative work of each mechanism, accurate cutting and chamfering to cloth body are realized, cutting precision and efficiency are improved, the consistency of the size of cloth after cutting is guaranteed, to greatly reduce the error of manual operation, production efficiency and product quality are improved.

The invention discloses a self-information-length mixed weighted sorting Lempel-Ziv complexity extraction method, which comprises the following steps: acquiring a biomedical signal, preprocessing the biomedical signal, and exporting a preprocessed signal sequence; a C-C differential statistic is constructed by adopting a C-C algorithm, an optimal hysteresis coefficient is determined, an optimal embedding dimension is further determined based on an error nearest neighbor algorithm, and then a signal sequence is converted into a symbolized sequence based on a sorting mode. Counting the distribution probability of each symbol mode in the sequence so as to calculate the self-information value of each symbol mode; traversing the symbolized sequence, identifying all new modes appearing for the first time, calculating the self-information of each new mode based on the self-information of each symbol mode, and constructing a self-information length mixed weighting operator; and all the mixed weighting operators are summed to obtain a weighting count value, and finally the weighting count value is normalized to obtain a final self-information-length mixed weighting ranking Lempel-Ziv complexity value.

The application relates to the field of microbial treatment, and particularly relates to a metal inoculation ring capable of testing impedance by electrification, which comprises a metal working end used for contacting and absorbing a sample, a mounting part connected with the metal working end, and a control module electrically connected with the metal working end, wherein the control module comprises a mode switching unit used for switching between a heating mode and a detection mode, a power driving module used for applying an electric current to the metal working end in the heating mode so that the metal working end generates heat to achieve sterilization, and an impedance detection module used for applying a detection electric signal to the metal working end in the detection mode to detect the absorption condition of the sample; and the control module is configured to judge the state of the sample absorbed by the metal working end according to the change of the electric characteristic parameter relative to a reference value in the detection mode. The metal ring has the functions of heating sterilization and impedance detection, and can objectively judge whether the absorption amount of the inoculation ring reaches a preset standard.

The utility model relates to the technical field of false eyelash production, and provides false eyelash production equipment which comprises a laser welding workbench, a waste discharging and stripping workbench, a laser feeding assembly, a laser cutting mechanism, a waste discharging mechanism, a stripping mechanism and a rubberizing mechanism. The laser feeding assembly is used for feeding materials to be cut. The laser cutting mechanism is arranged on the laser cutting station, and the laser cutting mechanism is used for cutting the to-be-cut material flowing from the feeding station to the laser cutting station; the waste discharging mechanism is arranged on the waste discharging station and used for discharging waste of the materials obtained after laser cutting. The stripping mechanism is arranged on the stripping station, and the stripping mechanism is used for stripping the middle mucosa and the eyelash product; the rubberizing mechanism is arranged on the rubberizing station and used for pasting the adhesive tape to the eyelash products. Automatic production of the false eyelashes is achieved, and the production efficiency and the qualified rate of the false eyelashes are improved.

The invention discloses a joint surgical operation data fusion processing method and system based on a multi-modal image, and relates to the technical field of image processing. The method comprises the following steps: performing motion state evaluation based on joint trajectory data of each posture point image in a multi-modal image, and dynamically acquiring a reference joint image of the multi-modal image based on a motion state evaluation result; performing image accuracy evaluation based on joint position data in each reference joint image, and dynamically correcting the joint data based on an image accuracy evaluation result; and forming a joint three-dimensional model based on the corrected joint data, performing dynamic region division based on joint evaluation parameters in the joint three-dimensional model, and dynamically adjusting the model geometric accuracy of the joint three-dimensional model based on a region division result and a joint category. Accurate quantitative analysis of the joint movement function, individualized high-precision three-dimensional model reconstruction and systematic improvement of clinical diagnosis efficiency are achieved.