26results about How to "Improve response accuracy" patented technology

This invention discloses a non-destructive testing method for evaluating the fatigue characteristics of long-life pavement materials, belonging to the field of pavement material performance testing technology. The method includes the following steps: mapping the detection data collected by each sensing unit in an intelligent sensing array to the same time reference, constructing a continuous and consistent time-stamped acquisition chain, and generating a time-stamped consensus band at the end of the time-stamped acquisition chain. By constructing the time-stamped acquisition chain and consensus band, this invention identifies the dominance switching moments of multi-source detection data, divides fatigue evolution stages, rearranges the data output order, constructs a relay sequence, and introduces a dynamic control mechanism to release the dominant signal segment by segment, achieving continuous expression and jump suppression of the fatigue state during the dominance switching process.

The present application relates to the technical field of ecological restoration scene modeling, in particular to an ecological restoration scene modeling method and system platform applied to land space planning, comprising the following steps: based on successful ecological restoration technical scheme cases and land units to be restored.The present application realizes modeling in data source selection granularity and expression dimension by normalizing the multi-dimensional attributes between successful ecological restoration technical scheme cases and land units to be restored, constructing source-target land feature fingerprint sets, and combining annual mean temperature, precipitation, soil type, pH value, altitude, native vegetation type and labor cost and other specific attributes.Further, by setting importance coefficients according to the influence degree of each dimension in historical restoration success cases, the present application guides feature difference weight calculation, and obtains technical migration adaptation score by combining normalized difference value calculation, thereby establishing a quantifiable source land adaptation capability evaluation index, and breaking the original limitations of relying on experience judgment.

This invention discloses a method, equipment, and medium for super high-rise construction monitoring based on digital twins, relating to the field of digital twin technology. The method includes: acquiring construction operation data from the super high-rise construction site and constructing a digital twin construction model; updating the boundary conditions of the digital twin construction model through a set of construction disturbance events to generate a disturbance-driven twin model; verifying the consistency between the virtual and real data of the model simulation state records in the construction state set and the disturbance-driven twin model to generate a twin credibility evaluation set; improving the local monitoring resolution of high-risk areas to generate twin resolution configuration results; performing local high-precision monitoring of the credible construction twin based on the twin resolution configuration results; and outputting super high-rise construction monitoring results. This invention, by improving the local monitoring resolution and generating twin resolution configuration results, avoids the waste of computational resources caused by global high-precision monitoring, thereby improving the efficiency of monitoring resource utilization and the response accuracy of high-risk areas.

The application discloses an airplane ground air conditioner energy-saving control method combining environmental parameter prediction, and relates to the technical field of airplane ground support equipment. The method comprises the following steps: collecting airport environmental parameters in real time, training a machine learning prediction model in combination with historical data, and predicting environmental change trends in advance; analyzing the thermal characteristics of an airplane according to the characteristics of the airplane, performing landing time error compensation, and accurately obtaining an environmental parameter sequence of a landing period; calculating an environmental parameter and a cabin thermal characteristic deviation coefficient, and dynamically configuring temperature and energy-saving weights; and iteratively optimizing air conditioner control parameters by using a multi-objective optimization algorithm to obtain optimal air conditioner control parameters. The application realizes the transformation from passive control to active prediction, effectively solves the problems of control lag and high energy consumption in the prior art, significantly reduces energy consumption while ensuring comfort, and improves the intelligent level and operation efficiency of an airplane ground air conditioner system.

The application provides an ablation-based large model example selection method, which comprises the following steps: building a user question representation model, training the user question representation model based on a database, obtaining examples related to a user question through the trained user question representation model, building a first language model and a second language model, and inputting the user question and the related examples into the first language model. The ablation-based large model example selection method provided by the application can obtain suitable examples in an existing database and help a large model generate better replies.

This disclosure provides a neural microelectrode with temperature control and temperature measurement functions, which can be applied in the field of microelectromechanical systems (MEMS) biosensor technology. The neural microelectrode includes: a substrate including a detection region; a microelectrode array disposed on the substrate and overlapping with the detection region, the microelectrode array being used to measure the electrical signal of a analyte; a temperature control element disposed on the substrate and overlapping with the detection region, used to control the temperature of the detection region; a temperature measurement element disposed on the substrate and overlapping with the detection region, used to measure the temperature of the detection region; and an insulating layer disposed on the microelectrode array, the temperature control element, and the temperature measurement element, covering the microelectrode array, the temperature control element, and the temperature measurement element. This disclosure integrates temperature control and temperature measurement functions with the neural microelectrode, realizing temperature control and temperature measurement of neurons, while simultaneously recording the electrical signals of neurons.

The application discloses a parallel hole damping-spiral tube inerter underwater damping device and belongs to the technical field of underwater vibration control. The device comprises an upper shell, a lower shell, a damping spring, an open small hole damping and an open fluid inerter. The upper shell and the lower shell are two parts in relative sliding. The damping spring and the open small hole damping are assembled in parallel to form an integral body, which together constitutes an open spring damping. The open spring damping and the open fluid inerter are connected in parallel, and the upper and lower ends of the two are respectively fixed to the upper shell and the lower shell. The open small hole damping and the open fluid inerter are both installed in the upper shell and the lower shell. The application adopts a parallel topology structure of inerter, damping and spring. The double spiral pipes and the symmetrical piston rods realize the fluid inerter effect in two directions. The small holes on the damping piston realize the speed-dependent throttling damping. The device has the characteristics of wide frequency vibration isolation, strong static load capacity, symmetrical positive and negative characteristics and deep water environment.

This disclosure provides a distance determination method, apparatus, and storage medium. The method includes: determining whether data acquired by an infrared distance sensor of an electronic device is greater than a distance threshold and less than a first proximity threshold; if so, acquiring light-sensing data; determining whether the light-sensing data is greater than a preset light-sensing value; if so, determining a second proximity threshold; and determining the positional state between an obstruction and the screen of the electronic device based on the second proximity threshold and the data acquired by the infrared distance sensor. This disclosure, based on data acquired by the infrared distance sensor, the first proximity threshold, the distance threshold, the light-sensing data, and an oil stain algorithm, performs multi-level precise differentiation of the positional state between the obstruction and the screen of the electronic device, effectively avoiding false alarms caused by misinterpreting obstructions as oil stains for optimization, and improving the response accuracy of the electronic device's screen.

This invention relates to the field of marine water sample detection and control technology, and discloses an automated control system for stratified marine water sample collection, including parameter acquisition, feature recognition, spatial retrieval, and sampling control modules. The feature recognition module uses pressure feedback to convert the medium property sequence into differential features and extracts dynamic control boundaries to offset the heave and oscillation of the controlled detection components. The spatial retrieval module constructs a three-dimensional parametric surface based on the dynamic control boundaries and discretizes it to generate an octree topology space. It establishes a hash map index table that corresponds to the trigger state and the memory addressing base address. By addressing the base address with a single instruction, the algebraic calculation process is eliminated, and the trigger delay jitter caused by the calculation is eliminated. This invention realizes the transformation from fixed depth triggering to active physical and chemical boundary tracking control mode, eliminates instruction lag and decouples spatial fluctuation interference, and ensures that the sampling action is accurately locked to the physical and chemical boundary.

The utility model discloses an air conditioner connecting line processing and shearing device, a tension adjusting device comprises a lifting operation table and a lifting air cylinder for driving the lifting operation table to lift, and an adjusting pulley is rotatably mounted on an adjusting seat; the adjusting cylinder drives the adjusting seat to be close to or away from the corresponding fixed pulley so as to maintain the tension of the wire rod to be stable. The pulley block is integrated on the liftable lifting operation table, and the adjusting seat driven by the adjusting cylinder is combined, so that the pulley block can dynamically follow the wire height change caused by the release point change of the unwinding disc, the pulley block and the wire path are always kept on the same horizontal plane, and the inclination or bending of the wire due to the height difference is effectively avoided; the friction damage risk is reduced, the response precision and stability of tension adjustment are remarkably improved, it is ensured that tension is uniform and stable in the wire conveying process, meanwhile, equipment abrasion is reduced, and the machining efficiency and the product quality consistency are improved.

The application discloses a cyanobacterial community succession prediction method and device fusing ecological mechanism and causal enhancement. The method comprises the following steps: collecting multi-source high-frequency monitoring data of a target water area, and constructing an environmental driving factor characteristic matrix; constructing a causal weight matrix through causal relationship aggregation analysis, and outputting a causal enhancement characteristic matrix; constructing a species ecological strategy embedding matrix; performing multi-scale decomposition on algal density time series data; constructing a multi-species interaction prediction model based on a multi-head self-attention mechanism, fusing environmental characteristics, causal enhancement characteristics, ecological strategy embedding and multi-scale time series characteristics, and predicting the biomass and relative abundance of each dominant cyanobacterial species; and outputting a cyanobacterial community succession process and a water bloom risk grade. Through deep fusion of causal enhancement, ecological strategy embedding and multi-head attention mechanism, the precision, stability and ecological interpretability of cyanobacterial community succession prediction are significantly improved, and the application is suitable for water bloom early warning and ecological management of lakes, reservoirs and rivers.

This application provides a data transmission method and apparatus, to improve transmission accuracy of a response message. The method includes: receiving, by a network device, uplink data sent by a terminal device based on a grant-free manner; and sending, by the network device, a response message for the uplink data to the terminal device according to a type of the response message for the uplink data, where the type of the response message for the uplink data is a first response type or a second response type, the first response type is that each time the terminal device sends the uplink data, the network device sends the response message for the uplink data to the terminal device once, and the second response type is that after the terminal device sends the uplink data for a plurality of times, the network device sends, to the terminal device once, the response message for the uplink data that is sent for the plurality of times.

This invention provides a method and apparatus for deep inference of an archipelago through computing power on an intelligent computing center cloud platform. It relates to the fields of intelligent computing centers, smart computing centers, computing power infrastructure, and smart computing cloud technologies. The method includes: Step S1, generating N initial response data corresponding to an initial problem, where N is a positive integer greater than 1; Step S2, dividing the N initial response data into M islands, each island including K initial response data, where M and K are positive integers greater than 1; Step S3, evolving the K initial response data included in each island to obtain K evolved response data included in each island; Step S4, generating first inference response data based on the K evolved response data of each of the M islands; Step S5, outputting the first inference response data. This invention can significantly improve the accuracy of the response.

This invention discloses a low-altitude intelligent target tracking method based on multimodal fusion, comprising the following steps: S1, constructing a multimodal input sequence to generate a fused input dataset; S2, inputting a semantic structure feature map into an improved TimeSformer model to output a predicted structure map; S3, constructing a consistency scoring matrix; S4, extracting candidate target samples whose trajectory distances meet a set similarity threshold and generating anchor point feature vectors; S5, extracting target feature vectors and historical identity feature vectors to generate an identity similarity score; S6, performing identity regression judgment based on the identity similarity score; S7, recording the fusion output result and identity label status of each frame to generate a target tracking trajectory sequence and an identity record set. This invention achieves accurate tracking under complex occlusion and multimodal interference conditions in low-altitude scenes, possessing advantages such as high tracking robustness, strong identity recovery accuracy, and excellent anomaly response time.

This invention relates to a distributed energy collaborative optimization method based on a cloud-edge-device architecture, belonging to the field of smart microgrid technology. Technical solution: S1. Define a four-layer cloud-edge-device architecture; S2. Information transmission stage: Information is reported upwards and circulated and transmitted at the same level; S3. Demand optimization stage: Demand is decomposed downwards and optimized collaboratively at the same level; S4. Energy flow stage: Energy is aggregated upwards and interacts and communicates at the same level. This invention, through its designed four-layer cloud-edge-device architecture, enables distributed energy to shift from centralized control to active participation in demand response. Based on this, a distributed energy collaborative optimization method based on the cloud-edge-device architecture is further designed, achieving full-domain collaborative optimization of distributed energy. Firstly, it reduces the response error of distributed energy; secondly, it effectively reduces the response time of distributed energy, solving the problem of excessive computing power in traditional centralized control; and thirdly, it reduces the operating cost of distributed energy, addressing the high operating cost of distributed energy.

This utility model belongs to the field of low-altitude flight technology and provides an electric pitch control mechanism for aircraft propellers. It includes a propeller assembly, a propeller hub, a drive assembly, and a pitch control module. The propeller assembly is connected to the propeller hub, and the pitch control module is installed inside the hub. A sensor assembly is mounted on the pitch control module to collect real-time changes in the propeller's angle or distance. The propeller assembly is connected to the pitch control module and uses the sensor assembly to collect and provide real-time feedback on these changes, thereby controlling the pitch angle. This patent uses sensors to collect the rotation angle of the lead screw shaft, the displacement of the pitch slider, and directly collect the pitch angle, enabling real-time feedback and control of the pitch angle. Its structure is simple, and it achieves stepless control of the pitch angle. Adjusting washers are used to adjust the clearance of the lead screw shaft within the propeller hub, improving the response speed of the lead screw shaft and the response accuracy of the propeller's pitch angle.

The invention provides an information processing method and device, equipment, a storage medium and a computer program product, and the information processing method comprises the steps: obtaining a gesture sequence of at least one user according to the point cloud data of at least two visual angles; acquiring concurrent gesture information according to the gesture sequence; acquiring a priority coefficient of each gesture instruction according to priority factor information of each gesture instruction corresponding to the concurrent gesture information; the priority factor information comprises a device level of a device which the gesture instruction aims at, a current load of the device which the gesture instruction aims at, an alarm level of a service and / or the device which the gesture instruction aims at, and an operation and maintenance window occupancy rate of the device which the gesture instruction aims at; the gesture instruction corresponds to at least one of an operator role of the user and isolation domain information corresponding to the gesture instruction; and executing a gesture instruction response operation according to the priority coefficient. According to the scheme, the problem that in the prior art, an information processing scheme for the gesture instruction is poor in response accuracy can be well solved.

The application provides a text robot answering method and device, a processor and a storage medium, and belongs to the field of text robot answering. The text robot answering method applied to a client comprises the following steps: generating inquiry information and sending the inquiry information to a text robot; when it is determined that the reply information received from the text robot is a customer information acquisition instruction, acquiring customer information attributes, determining a corresponding information acquisition mode; acquiring customer information according to the information acquisition mode, generating a customer information acquisition result, and sending the customer information acquisition result to the text robot; wherein the reply information is generated by the text robot based on the inquiry information; and feedback information received from the text robot in response to the customer information acquisition result is displayed to the customer. Through the method provided by the application, a more customer-actual-situation-fitting reply can be provided, the customer reply accuracy is improved, the modification range is reduced, and the input cost of the text robot reply is reduced.

This invention relates to the field of big data storage technology, specifically to a method for storing question information in web-based question-and-answer systems. The invention first acquires question data and extracts semantic vectors; then, it compares the similarity of semantic vectors between question data from the same URL, and combines this with the time interval between question data to obtain an initial value coefficient; further, within a pre-selected URL range, it compares the similarity of semantic vectors of question data from different URLs, and combines this with the initial value coefficient to obtain a final value coefficient; finally, it corrects the clustering distance between question data based on the final value coefficient and performs clustering; and finally, it performs hierarchical compressed storage based on the clustering results. This invention effectively reduces storage costs and improves the response accuracy of question-and-answer systems by extracting user question semantic vectors, calculating initial and final value coefficients based on the similarity of the same URL and pre-selected URLs, and considering the time interval, correcting the clustering distance, and performing hierarchical compressed storage.

The utility model discloses a kind of pressure-sensing combination switches, including the pressure-sensing switch main body being constituted by circuit board, pressure sensor and conductive spring piece, pressure sensor and conductive spring piece are respectively arranged on the two sides of circuit board, and each is connected with the solder leg of circuit board, conductive spring piece is in the shape of arching to one side, between circuit board and conductive spring piece, and located on the circuit gold layer exposed on circuit board, circuit gold layer includes first gold layer and second gold layer, first gold layer is located at the outer ring of second gold layer, and forms isolation between them, the edge of first gold layer is in contact with conductive spring piece, and the arching part of second gold layer corresponds with conductive spring piece.The utility model solves the problem that the structure is complex, the processing difficulty and the high failure rate caused by the fact that the pressure-sensing and switch function cannot be integrated in one device in the prior art.

The invention relates to the technical field of image processing, in particular to an image focusing method and device based on fusion frequency domain information and a storage medium, and the method comprises the steps: obtaining multiple frames of images of a microscope at different Z-axis positions to form an image sequence; extracting a frequency domain definition index and a spatial domain definition index of each frame of image in the image sequence; the frequency domain definition index and the spatial domain definition index are combined, and a multi-modal definition time sequence feature sequence is constructed; inputting the multi-modal definition time sequence feature sequence into a preset improved long-short-term memory network for prediction so as to obtain a definition change trend of a plurality of frames in the future; a frame corresponding to the maximum definition value is located and predicted according to the definition change trend, and the corresponding Z-axis position is determined as the optimal focus point position; and controlling the Z axis of the microscope to move to the optimal focusing point position to complete focusing. According to the scheme of the invention, the robustness and accuracy of focusing are effectively improved.

The present application relates to the field of active optics, and specifically provides a time series filtering-based wavefront correction method for a survey telescope, which obtains time series wavefront data of the telescope through a wavefront curvature sensor, decomposes the time series wavefront data in a spatial domain through Zernike polynomials, forms a time series coefficient sequence for each term of the Zernike polynomials in a time domain, performs frequency domain analysis on each time series coefficient sequence, calculates a power spectrum, uses a Greenwood frequency as a threshold to identify static aberrations, and performs wavefront correction after filtering out dynamic aberrations. The present application effectively separates and filters out high-frequency disturbances introduced by atmospheric turbulence by combining Zernike polynomial decomposition and frequency domain filtering, and accurately realizes low-frequency aberration wavefront correction through active optics.

The utility model relates to the technical field of electric clothes hangers, in particular to an electric clothes hanger motor module and a control box thereof. Comprising a motor module body, and a motor, a turbine, a reel and a control box are arranged in the motor module body; the motor is vertically arranged between the two turbines, and the two winding wheels are arranged on the two sides of the two turbines respectively. The control box is fixedly connected with the motor module body through a control box buckle; a Hall motor and an installation position are arranged in the motor, and the Hall motor and the installation position are arranged at the positions, close to the two winding wheels, below the two turbines in the motor, so that the rotating state and the position of the motor can be perceived more directly and more accurately; the clothes hanger can be accurately lifted and lowered smoothly, the mounting stability and the response accuracy of the sensor are further enhanced, and the reliability and durability of the product are improved.

The embodiment of the invention provides an emergency power supply control method and device, equipment and a storage medium, and relates to the technical field of emergency power supply. The method comprises the following steps: acquiring real-time monitoring data of each preset key node in a power supply line of a main power supply; the power supply line comprises a plurality of segmented lines; the real-time monitoring data is used for indicating the actual power supply condition of the segmented line associated with the preset key node; determining fault information of the fault line according to the real-time monitoring data; the fault line is a segmented line with abnormal power supply in the power supply line; according to the fault information of the fault line, emergency power supply equipment is controlled to supply power to target electric equipment through a preset interface; the emergency power supply device comprises at least one of a main power supply using a standby line, an energy storage device and a power generation device. The method is used for achieving the effects of improving the response accuracy, reliability and expandability of emergency power supply and reducing the influence caused by power supply faults.

The invention provides a dynamic power distribution control method, device and system of an energy storage system, the energy storage system comprises a plurality of parallel energy storage branches, and the method comprises the following steps: obtaining real-time state parameters of each parallel energy storage branch and the total power demand of the energy storage system; according to the degree of deviation between the real-time state parameters of the parallel energy storage branches and the mean value of the system states, a preset non-linear mapping function is used for calculating allocation weights corresponding to the parallel energy storage branches, and the non-linear mapping function is used for amplifying contribution of the degree of deviation to the allocation weights; determining the target instruction power of each parallel energy storage branch based on the total power demand and the distribution weight of each parallel energy storage branch; and issuing the target instruction power to the corresponding parallel energy storage branch. By introducing the nonlinear mapping function capable of amplifying the deviation contribution of the state parameters to carry out weight calculation, the technical problem that the charge states of the branches are inconsistent and continuously accumulated in a traditional average distribution mode is effectively solved.

The application relates to a bank intelligent customer service response method, equipment and medium, a bank intelligent customer service response method comprises the following steps: collecting interactive service data in multiple interactive channels, preprocessing the interactive service data to generate corresponding feature vectors, performing clustering calculation on the interactive service data to generate corresponding customer behavior characteristics, inputting the feature vectors and customer portrait information into a response process to generate corresponding response content; obtaining customer feedback data of the response content, selecting corresponding target models in each decision model according to the customer feedback data and the customer portrait information, and training the target models according to training samples. By constructing a full-process closed-loop path of collection-understanding-generation-feedback-retraining, the system can continuously optimize the response strategy in a real scene, continuously improve the response accuracy, customer satisfaction and adaptability, and meet the efficient, accurate and evolvable requirements of bank intelligent service.