56results about How to "Avoid dependency" patented technology

The invention relates to a server application architecture migration method and device and a storage medium, and the method comprises the steps that an automatic detection module analyzes and checks a to-be-migrated application under an X86 architecture, and the to-be-migrated application is subjected to static code analysis, dynamic performance analysis and system compatibility check; according to analysis and check results of the automatic detection module, the automatic adjustment module replaces an X86 specific instruction and a library function, performs memory allocation optimization and memory mapping adjustment, and generates an automatic adjustment report; and the automatic optimization module executes a performance benchmark test, and executes memory access optimization, algorithm optimization, task scheduling optimization and multi-core parallelization adjustment according to a test result. According to the server application architecture migration method and device and the storage medium, the architecture adaptation process can be simplified, performance optimization support and automatic dependency relationship management can be provided, the migration efficiency can be improved, and the cost can be reduced.

The invention discloses an automatic causal structure generation method based on semantic representation and logical reasoning of a large language model. The method comprises the following steps: acquiring an input text; performing semantic coding and clustering on the obtained input text by utilizing a large language model, and establishing a candidate causal variable set; causal relationship detection is carried out on the established candidate causal variable set based on anti-fact intervention and do-calculation; performing causal direction judgment, and generating a directed acyclic causal graph meeting logic consistency; and on the basis of the generated directed acyclic causal graph, natural language interpretation is generated by using a large language model, and logic consistency closed-loop verification is carried out. According to the method, automatic generation from the natural language to the causal structure is realized, the causal variable set is automatically extracted and constructed from the unstructured natural language text, the defects that variables need to be manually defined and modeling depends on field experts in the existing causal modeling process are avoided, and the labor cost and professional threshold of causal structure construction are remarkably reduced.

The invention provides a multi-microgrid load frequency control method based on dynamic event triggering, which can be applied to the technical field of intelligent microgrids. The method comprises the steps that a local sampling error of the micro-grid system is acquired, the local sampling error is obtained based on a global neighborhood error and a local neighborhood error of the micro-grid system, and the local neighborhood error is used for representing a state difference between the micro-grid system and a neighbor micro-grid system at a sampling moment; under the condition that the local sampling error meets a dynamic event triggering rule, updating an initial weight matrix of the action-evaluation neural network based on the local sampling error to obtain a target action-evaluation neural network; and determining a load frequency control strategy of the micro-grid system based on the system state of the micro-grid system at the sampling time and the target action-evaluation neural network. The invention further provides a multi-microgrid load frequency control device based on dynamic event triggering.

The invention relates to an optimized regulation and control method based on a model considering an uncertain source load operation scene, and the method comprises the steps: solving a predicted value of conventional load power through a load power prediction method, such as a neural network method, and solving predicted values of wind power output and photovoltaic output through a distributed power output prediction method, such as a data statistics prediction method; a prediction error distribution function of wind power output and load power is combined, a source load operation scene generation model considering prediction errors is established, a large number of original source load operation scenes are generated, an improved hierarchical K-means clustering algorithm is used for extracting the original source load operation scenes, and a source load uncertainty model based on the multi-scene technology is established; compared with the prior art, the method has the advantages that the calculation complexity is simplified while the uncertainty influence caused by prediction errors is fully considered, the dependence of a traditional clustering algorithm on the number of target scenes is avoided, and the strong uncertainty of the source side and the load side of the power distribution network is accurately described.

The invention discloses an automatic calibration system and method for an audiometer, and particularly relates to the technical field of automatic calibration of audiometers. The system comprises a calibration preprocessing unit, a calibration processing unit and a database, and the calibration preprocessing unit comprises a calibration judgment module, a calibration environment evaluation module and a calibration starting module and is used for preparing before the self-service physical examination machine audiometer is calibrated. And the calibration processing unit comprises a calibration parameter selection module, a calibration parameter synchronization module, a verification error evaluation module and a verification error processing module, and is used for the calibration control platform to execute various operations in the calibration process of the target self-service physical examination machine audiometer. The parameters of the self-service physical examination machine audiometer are monitored, all the to-be-calibrated self-service physical examination machine audiometers are calibrated, a full-automatic calibration mode is adopted to replace traditional manual calibration, and the calibration efficiency of the self-service physical examination machine audiometers is improved.

The present invention relates to a Bifidobacterium animalis subspecies lactis BGI-N3 ( Bifidobacterium animalis subsp. lactis BGI‑N3, deposit number: CCTCC NO:M20221585) or a composition comprising it as an active ingredient in the preparation of a product for preventing and / or treating metabolic diseases. The animal Bifidobacterium lactis subspecies comprises the 16S rDNA sequence shown in SEQ ID NO: 1. The animal Bifidobacterium lactis subspecies BGI‑N3 provided in an embodiment of the present invention has good safety and excellent gastrointestinal environmental tolerance, can effectively reduce the food calorie conversion rate, regulate the level of systemic chronic inflammation, and improve fat accumulation to prevent and / or treat metabolic diseases, such as obesity.

The present invention discloses a method for calibration and coaxial positioning of a dual-manipulator base coordinate system, wherein the dual-manipulator comprises a first manipulator and a second manipulator, and the method comprises the following steps: S1: installing the same calibration device on the two manipulators respectively, and fixing the calibration workpiece on a workbench; S2: moving the first manipulator to the workbench, and aligning the calibration device with the calibration workpiece, and obtaining the posture information of the end of the first manipulator at this time; using the same method to obtain the posture information of the end of the second manipulator; S3: repeating step S2 for multiple times, and then processing the data obtained in step S2 to obtain a calibration matrix; S4: changing the position of the calibration workpiece, repeating steps S2-S4, until the number of changes reaches a preset number of times, and obtaining a final calibration matrix; S5: coaxially positioning the dual manipulators according to the final calibration matrix. The present invention can realize rapid and accurate positioning and calibration of the dual manipulators, and further improve the stability and reliability of the operation.

The application provides a multi-intention interactive game decision method and system for automatic driving path planning, which fuses current environment information and current state information by acquiring the current state information and the current environment information, extracts state features and intention features of a moving target from current scene features, fuses the intention features of the state features of the moving target, constructs a game relationship graph, calculates attention weights between an automatic driving vehicle and the moving target, weights and aggregates a value vector by a prediction probability and the attention weights of different preset intention features executed by the automatic driving vehicle, performs feature splicing, nonlinear conversion and decoding on the aggregated features, evaluates each game candidate trajectory, and selects a game candidate trajectory with the maximum game value score as the automatic driving path; the application reduces uncertainty in the interactive process, avoids the risk of sudden braking or collision caused by misjudgment, and has stronger environmental adaptability and generalization ability.

The embodiment of the present invention is about a method and device for processing a workflow, a storage medium, and an electronic device, and relates to the field of computer technology. The method includes: receiving a processing request including a workflow to be processed, responding to the processing request to determine whether there is process definition information corresponding to the workflow to be processed in a local cache pool; when it is determined that there is a process definition corresponding to the workflow to be processed in the local cache pool, executing the workflow to be processed according to the process definition information; when it is determined that there is no process definition information corresponding to the workflow to be processed in the local cache pool, obtaining the process definition information corresponding to the workflow to be processed from a distributed cache cluster, and executing the workflow to be processed according to the process definition information. The embodiment of the present invention improves the efficiency of executing the workflow to be processed.

The application belongs to the field of medical materials, and particularly relates to a metal core enhanced double-barrier piezoelectric nano system and a preparation method and application thereof. The preparation method comprises the following steps: first, a core-shell structure of'metal@mesoporous titanium dioxide@mesoporous barium titanate' is prepared through a step-by-step reaction, and then the target nanoparticles are obtained through lipid wrapping. The system innovatively constructs a double-barrier structure, can self-trigger active oxygen under a physiological pressure of 4 mmHg, realizes endogenous pressure self-driven treatment of malignant ascites, has the advantages of low pressure, high catalytic efficiency, long-term structural stability and good biocompatibility, solves the problems that existing treatment methods are highly invasive and depend on exogenous stimulation, and provides a new safe and efficient technical scheme for the treatment of malignant ascites.

The utility model relates to the technical field of round steel processing, in particular to a round steel shearing device which comprises a rack and a bearing frame, a transfer frame is arranged at the top of the rack, a plurality of roll shafts are installed in the transfer frame, a first servo air cylinder is arranged at the top of the bearing frame, and a second servo air cylinder is installed on a piston rod of the first servo air cylinder. A piston rod of the second servo air cylinder is provided with a first fixing plate, the side portion of the second servo air cylinder is provided with a second fixing plate connected with the bearing frame in a fastened mode, and the first fixing plate and the second fixing plate are used for stably clamping round steel. And a shearing tool is rotationally installed at the top of the bearing frame, and a storage barrel is arranged at the bottom of the bearing frame and used for storing residues generated after the round steel is sheared off. According to the round steel shearing device, the working efficiency of round steel machining is improved, the working time of shearing round steel is shortened, the requirement for batch machining can be met, the working precision of round steel machining is further improved, the rejection rate of round steel machining is reduced, and therefore it is guaranteed that round steel machining meets the production standard.

The utility model discloses a high -efficient spare part removal mechanism for production line relates to spare part removal technical field, including side plate, the side plate bottom rotatory installation advances the belt, and the side plate side wall below fixed mounting motor, and motor drive end fixed mounting synchronous assembly, the synchronous assembly includes with motor drive end fixed connection's drive rod, drive rod side end rotatory installation advances the rod, advances the rod side end rotatory installation and advances the plate, advances the plate top rotatory installation and turns the rod, in the utility model, through single motor drive synchronous assembly realizes mechanical linkage, and drive rod, advances the rod and the rod, long connecting rod form integrated power transmission chain, and the conveying action is bound through the pure mechanical structure and is caught the action, completely avoids the program dependence and the interference risk of the multi -power source cooperation, solves the problem of not being in step from the root, and the production line is interrupted to be prevented because of the action misplacement, and reduces the shutdown loss.

The invention discloses a signal-based WeChat applet state management method and system, and the method comprises the following steps: obtaining a signal of a double linked list data structure realized based on a TypeScript language, simplifying the declaration of a signal attribute through a decorator, converting the signal attribute into a responsive signal, and transmitting the responsive signal to a server; the method comprises the following steps: designing an Effect class of a double linked list according to a response type signal to perform signal collection and automatic tracking operation, performing batch processing on the response type signal through a batch updating mechanism to obtain a batch processing signal, when a dependent signal changes, notifying the Effect class to respond to the batch processing signal after the batch processing, and when the batch processing signal is updated, notifying the Effect class to respond to the batch processing signal after the batch processing. And automatically triggering to re-calculate batch processing signals, calling an Effect class to capture signal changes and notify page rendering updating based on a signal management framework and applet integrated response, and solving the problem that a simple dependency tracking mechanism is adopted in the implementation process of an existing signal model, so that the implementation efficiency is greatly improved. And a complex dependency relationship cannot be efficiently managed.

The present invention provides a method, device and structure for determining a support structure for widening a parking bay on an embankment, which can be applied to the field of road engineering technology. The method includes: obtaining the cross-sectional information of an existing road and the demand information of a newly built road from a target database; determining the parking strip information and shoulder information of the newly built road based on the cross-sectional size, the first slope and the lane information; determining multiple distance values ​​between multiple target points in the parking strip and the edge line of the shoulder, the distance values ​​including the first distance value and the second distance value; determining the support structure information corresponding to the parking strip based on the first distance value, the second distance value and the first pile spacing, the first pile spacing is determined based on the pile diameters of the retaining piles and the supporting piles, and the support structure information includes the second pile spacing and the beam and slab information corresponding to the retaining piles and the supporting piles. This method can improve the accuracy and efficiency of the support information determination result.

The application relates to the technical field of glass, in particular to a manufacturing method, system and application of heat-bending-free 3D cover plate glass. The method utilizes laser to construct an induced prestress field on a glass substrate to release 50%-85% of target strain; then, single-side polishing fine adjustment is carried out, the polishing surface to be polished is divided into a center, an edge and a corner area, and stepped pressure is applied to compensate for the removal rate difference; a pressure buffer zone is dynamically generated at the junction of the areas, and the pressure is adjusted based on a smoothing algorithm to ensure that the first and second derivatives are continuous and the step mutation is eliminated. Through light-mechanical coupling stress regulation and dynamic continuous control, the application completely eliminates edge collapse and vibration marks, realizes micron-level curvature shaping, improves the glass surface type precision, optical uniformity and structural strength, and efficiently manufactures high-quality 3D cover plates without high-temperature heat bending.

This invention discloses a calibration system and method for extremely weak light radiance based on a cascaded integrating sphere, belonging to the field of optical radiation metrology and photoelectric detection technology. The system includes a first integrating sphere, an aperture tube, and a second integrating sphere. The aperture tube achieves large dynamic range light intensity adjustment through geometric attenuation. The second integrating sphere connects both a reference detector and a high-sensitivity detector to be calibrated, enabling online calibration and dynamic range bridging under the same radiance field. By adjusting the aperture, the light flux distribution is controlled, allowing the measurement ranges of the two types of detectors to overlap. This is used to perform correction processing related to non-ideal effects of single-photon detectors and high-precision measurement of extremely weak light radiance. This invention features a compact structure, stable and reproducible attenuation, and is suitable for weak light calibration and linearity testing in fields such as quantum optics and nighttime remote sensing.

The utility model discloses a heat preservation type bamboo and wood fiber integrated wallboard, and relates to the technical field of integrated wallboards. The heat-insulating and heat-insulating composite board comprises a base material layer, a micropore transition layer, a heat-insulating structural layer, a heat-reflecting structural layer, a decorative layer, a reflecting and heat-insulating layer and a protective layer which are sequentially stacked, a plurality of honeycomb holes are formed in the heat-insulating structural layer, and a plurality of through type pores are formed in the micropore transition layer. The heat reflection structure layer comprises a plurality of convex lenses and a plurality of concave lenses, wherein the convex lenses and the concave lenses are alternately arranged. A traditional material modification mode is abandoned, multiple thermal resistance mechanisms are formed through structural thermal insulation design, the thermal insulation effect is achieved, material dependence is avoided, the problems of material aging, pulverization and the like caused by long-term use are avoided, thermal insulation performance attenuation is reduced, and therefore the thermal insulation material has higher practicability.

The application provides a kind of pareto optimal design method of wireless charging coil, medium, coil and system, it is related to wireless power transmission technical field.The application obtains scene parameters and constraint conditions, defines the boundary conditions and input of optimization;By integrating the weight vector into the state space of reinforcement learning, using the powerful exploration ability of deep reinforcement learning as an efficient search tool, quickly traversing the complex solution space, thus efficiently and globally exploring and obtaining the pareto optimal solution set reflecting the complete trade-off relationship between transmission efficiency and anti-offset performance.The application uses deep reinforcement learning to efficiently explore the design space and obtain a complete set of pareto optimal solutions, allowing for quick selection of optimal coil parameters based on different design preferences, significantly reducing the design cycle, and ensuring that the designed coil achieves the optimal trade-off in physical performance.

The application discloses a P-wave burst signal modulation mode recognition method. The method utilizes the preamble characteristics of the P-wave burst signal, solves the problem that the signal information segment characteristics are difficult to distinguish in a low signal-to-noise ratio environment, and avoids the dependence of the traditional signal preamble autocorrelation recognition algorithm on the signal preamble prior information and the influence of the frequency offset. The method first utilizes the signal preamble spectrum to complete image construction, and utilizes the spectrum characteristics formed by different burst signal preamble rule codes to distinguish; secondly, the multi-semantic feature fusion network fully utilizes the texture features such as signal preamble spectrum edge contour extracted by the low-layer residual network, and fuses the high-level residual network to extract the abstract complex high-level semantic features of the signal spectrum, so as to solve the problem that the residual network only utilizes the high-level abstract semantic features and ignores the low-level features, and improve the burst signal modulation mode recognition performance.

The application provides a robot for repairing a Christmas tree and a method for repairing a Christmas tree, relates to the technical field of Christmas tree maintenance, and mainly aims to provide an unmanned repair device and a repair method which can replace manual work. The robot for repairing a Christmas tree comprises a chassis, a removing unit, a carrying unit, a repairing unit and a control unit. The chassis is a movable structure, one side of the chassis is inwardly recessed and forms a parking area capable of accommodating the Christmas tree, and the upper surface of the chassis forms a placing space. The removing unit is fixedly arranged on the chassis and at least a part of the removing unit can be sleeved on the Christmas tree in the parking area and remove the Christmas tree from the installation position of the Christmas tube. The carrying unit is fixedly arranged on the chassis and can transfer the Christmas tree between the parking area and the placing space. The repairing unit is used for fixedly installing the blowout preventer on the installation position. The control unit comprises a control module and a remote control module connected with each other, and the control module is connected with the chassis, the removing unit, the carrying unit and the repairing unit.

The utility model discloses a continuous production device relates to aerogel preparation technical field, wherein, the continuous production device, including the U -shaped tunnel box of two -sided opening, heating device, condensation reflux unit, heating device with condensation reflux unit all with the U -shaped tunnel box is connected. The technical scheme provided by the utility model can realize the scale, automation, continuous normal pressure production of silicon dioxide aerogel heat insulation material.

The invention relates to a battery health state estimation method and system based on a sequential network and physical information fusion, and a medium. The method comprises the following steps: collecting battery charge-discharge cycle data, extracting characteristics related to battery degradation, and preprocessing the characteristics; constructing a physical information neural network branch, designing a special sub-network group based on a physical mechanism of battery degradation, extracting physical characteristics related to the corresponding degradation mechanism from original characteristics by each sub-network, and outputting a health state prediction value based on the physical characteristics after fusion; constructing a time sequence neural network branch, and outputting a health state prediction value based on time sequence characteristics; and setting an adaptive fusion layer, and carrying out weighted combination on the predicted values of the two branches to obtain a final battery health state estimation value. According to the method, the battery health state estimation precision can be improved while the physical interpretability is kept, and the generalization ability of the model to different working conditions and battery individuals is enhanced.

The application relates to the technical field of data processing, in particular to a method for locating an abnormal source of an index platform based on a finance and tax field and an index platform. The method comprises the following steps: in the case that a query instruction of a user on a target index report is received, a corresponding pre-established full-link data blood relationship graph is acquired according to a target index report identifier in the query instruction, and a display result corresponding to the target index report is acquired according to the full-link data blood relationship graph; each blood relationship node of the full-link data blood relationship graph is used for representing a corresponding data calculation processing step and is associated with an operator rule for executing the data calculation processing step; a starting blood relationship node of the full-link data blood relationship graph is associated with pre-acquired original data and a corresponding type label; and the display result is an index calculation result corresponding to different dimensions, which is obtained by sequentially executing each data calculation processing step according to a data flow conversion dependency relationship based on the original data associated with the starting blood relationship node of the full-link data blood relationship graph.

The present application belongs to the technical field of subgrade engineering, and in particular to a cement-improved copper tailings subgrade construction compactness detection method based on image processing. The specific steps of the present application are as follows: S1, 3D scanning technology is used to obtain point cloud data of the subbase and the cement-improved copper tailings subbase layer after paving and rolling, and the volume of the cement-improved copper tailings subbase layer in the detection point range after paving and rolling is calculated; S2, SEM scanning technology is used to collect images of the surface of the cement-improved copper tailings subbase layer in the detection point range after paving, and the images are filtered and histogram equalization processed, and the area of the surface pores in the detection point range is calculated; S3, the material quality of the cement-improved copper tailings subbase layer in the detection point range is calculated; and S4, the compactness of the cement-improved copper tailings subbase is calculated. The present application can be used for non-destructive, rapid and scientific guidance of the cement-improved copper tailings subgrade construction compactness detection, and effectively controls the quality in the construction process.

The present application discloses a novel high-safety on-load test method for a factory system, comprising a high-voltage side primary current-passing method, a low-voltage side primary current-passing method and a high-voltage side boosted primary current-passing method; wherein the high-voltage side primary current-passing method uses a 400V test power supply to perform a short-circuit test, uses the short-circuit current to verify the polarity of the current transformer and the correctness of the secondary cable installation, and completes the on-load test; the low-voltage side primary current-passing method uses a single-phase relay protection tester, adopts a phase detection method, and takes the first low-voltage branch as a reference to complete the on-load test of all low-voltage branches; the high-voltage side boosted primary current-passing method uses a boosted test transformer as a test power supply, increases the secondary current of the current transformer to observe the differential current on the protection device; the present application avoids dependence on and influence on the auxiliary system of the unit, and can safely and efficiently complete the on-load test of the start-up and standby transformer interval.

The application provides a kind of slope support anchor rod reinforcing combination dynamic modeling system and method, by constructing anchor rod-slope dynamics coupling dynamic simulation model;According to the stress evolution process of target slope in different monitoring points in target slope and surrounding soil deformation information of anchor rod, the stress distribution structure of each region of target slope is obtained by dynamic inversion;Extract the displacement response characteristics of each anchor rod under different vibration loads, determine the deformation vector field of anchor rod reinforcing combination in slope support under different vibration loads through the mapping relationship of all displacement response characteristics and soil deformation under different vibration loads;According to the stress distribution structure and deformation vector field of each region of target slope, the simulation granularity of local stress simulation in dynamic simulation model is determined, and then the discretization level of dynamic simulation model is adjusted based on simulation granularity. Using the scheme of the application, the adaptive adjustment of local discrete level in anchor rod reinforcing combination simulation model can be realized.

The invention relates to the technical field of robot cooperative control, and discloses a composite robot real-time cooperative control method, which comprises the steps of constructing a mobile robot moving state recognition model, and performing moving state recognition on a mobile robot; a mechanical arm robot motion state recognition model is constructed, and motion state recognition is conducted on the mechanical arm robot; and the background server receives the identification result and the motion parameters of the composite robot, and carries out cooperative scheduling on the composite robot to obtain a control instruction of the composite robot. The recognition model is deployed on the composite robot, the current moving state and the motion state of the composite robot are obtained through recognition, the current environment information of the composite robot is extracted for path planning of obstacle avoidance processing, and the mechanical arm action capable of completing task operation to the maximum degree is selected; cooperative control of the composite robot integrating multiple functional robots in a complex scene is achieved, and the moving efficiency of the composite robot and the operation efficiency of a mechanical arm are improved.

The present invention discloses a laser cladding method, which belongs to the technical field of laser cladding process optimization. The present invention realizes intelligent control and automatic optimization of process parameters by collecting cladding images and performing HSV color space analysis, combined with a multi-channel process prediction model, avoiding the defects of relying on manual experience and repeated experiments in traditional methods. The method simultaneously considers the two dimensions of molten pool quality and cladding layer quality, and realizes accurate optimization of process parameters by introducing a quality gap coefficient. The present invention quantifies the quality of the cladding process through image processing, thereby improving the control accuracy of process parameters.

Embodiments of the present application provide a display device, a furniture layout optimization method and related apparatus, and relate to the technical field of display. The method comprises: acquiring a panoramic image of a target space, and converting the panoramic image into a planar development diagram; modeling the target space according to the planar development diagram to obtain a three-dimensional model of the target space; performing layout optimization on furniture in the target space according to the three-dimensional model to obtain a layout optimization scheme, and controlling a display screen to display the layout optimization scheme; the layout optimization scheme comprises a comparison view of an original layout and an optimized layout. The above scheme significantly reduces the cost and operation threshold of the user for layout optimization, and greatly improves the user experience.

The invention discloses an indoor positioning method combining a base station screening strategy and a neural network, and the method comprises the steps: judging whether there is an NLOS base station of which the signal propagation is blocked due to the obstruction of an obstacle or not through a rapid detection algorithm link; in the base station screening algorithm link, the base stations are divided into a plurality of subsets, the estimated positions of the rss subsets of the base stations without NLOS tend to form dense clusters, the estimated positions of the RSS subsets are grouped according to the clusters, the dense clusters are detected, and the centroid positions of the dense clusters are returned to determine reliable positioning results; the NLoS base station is identified by calculating the frequencies of all the base stations appearing in the reliable result; in the step of optimizing the BP neural network distance measurement by using the crown porcupine algorithm, a CPO-BP neural network is established to construct a distance measurement model by using the advantage that the neural network can effectively capture a nonlinear relationship, so that the relationship between the RSSI and the distance in a complex environment is accurately captured, and the positioning precision is effectively improved.