13results about How to "Correction error" patented technology

This invention discloses a comprehensive management method and system for base station power consumption, belonging to the field of base station power consumption. The method includes: topological mapping of the access relationships of AC / DC equipment within the base station to form a hierarchical power consumption association list; dynamic clustering parsing of the list to generate a time-series evolution chain reflecting state changes and remote control history; constructing a device differentiation identification model based on the time-series evolution chain, determining abnormal metering factors and outputting candidate correction events; labeling the corresponding areas of the candidate events as local anomalies, and generating a correction reference group by fusing multi-source information such as meter readings and sensor data; dynamically iteratively correcting the global metering results based on the correction reference group, and generating intelligent management instructions by combining the corrected load sharing ratio and branch authorization strategy. The system includes corresponding functional modules. This invention can systematically solve the problems of unclear base station power consumption topology, inaccurate metering, and extensive management, achieving high-precision metering and automated intelligent control.

The utility model relates to the technical field of Hall element testing, in particular to a Hall element testing device which comprises a supporting mechanism, a mounting base body is movably mounted on one side of the supporting mechanism, and a magnetic field generating mechanism is clamped and fixed to the upper portion of the mounting base body. The vertical fixing part and the horizontal pressing part are integrally formed, an electromagnet is slidably connected to the interior of the horizontal pressing part, a fine adjustment assembly is arranged outside the horizontal pressing part, the end of the fine adjustment assembly abuts against one side of the electromagnet, and an auxiliary fixing assembly is arranged at the lower end of the electromagnet. The Hall element is pressed and fixed through the gravity of the magnetic field generating mechanism on the upper portion, the electromagnet is powered on to generate a magnetic field to be matched with the testing sorting machine to test the Hall element, and the Hall element testing device has the advantages that an existing machine does not need to be modified, large-scale installation can be achieved within a short time, and the Hall element testing device is small, exquisite, easy to install and low in cost and does not affect production of other types of devices.

The application belongs to the technical field of solid-state dielectric material testing, and particularly relates to a ferroelectric capacitor ultrafast hysteresis loop measuring method. The application proposes an equivalent circuit, which can obtain the stray inductance in the circuit and the voltage division of the stray inductance changing with time; and proposes a ferroelectric capacitor hysteresis loop correction method; first, different polarity electric pulses are applied on a standard capacitor or a ferroelectric capacitor, the voltage division in the circuit in the nanosecond time is measured by a high-bandwidth oscilloscope, including the voltage division of the total resistance of the circuit and the voltage division of the ferroelectric capacitor; then, the influence of the stray inductance is corrected to obtain the circuit current at each moment, and then the charging and discharging current and the domain reversal current of the ferroelectric capacitor are obtained, and they are converted into the ferroelectric hysteresis loop in the nanosecond time range, and the ferroelectric polarization intensity and the coercive field size under different periods are obtained from the ferroelectric hysteresis loop. The application accurately measures the ferroelectric hysteresis loop with a period of nanoseconds by establishing an equivalent circuit model.

This invention discloses an adaptive online measurement method for basic coal seam parameters, belonging to the field of coal seam parameter acquisition technology. The method includes the following steps: Step S1, deploying a multi-parameter sensor array in the coal seam borehole to collect raw gas pressure, temperature, humidity, coal strain, and acoustic emission signals in real time; Step S2, calculating and correcting the gas pressure using a composite environmental compensation model; Step S3, constructing an unsteady diffusion-seepage equation to invert the gas concentration and pressure field; Step S4, performing time-frequency analysis on the acoustic emission signals to calculate the amount of gas released by micro-fractures; Step S5, calculating the dynamic gas content based on the amount of gas released by micro-fractures; Step S6, constructing an objective function to dynamically optimize the parameters in real time. This invention, by collecting and accurately correcting coal seam parameters, can help solve problems in coal seam mining and accelerate the production progress of the working face.

The invention relates to the technical field of equipment positioning, and discloses a robot pose estimation method and device and a storage medium, which are used for estimating the relative pose of the rth node in a distributed formation formed by a plurality of robots, and the method comprises the steps: carrying out the feature extraction of a first image through a visual image encoder module, and obtaining a first image feature sequence; processing the first image feature sequence through an image feature dimension reduction module to obtain a second image feature sequence; receiving through the graph neural network structure, and determining an aggregation feature according to the graph connection relationship, a third image feature sequence sent by the source node in a distributed manner and the vector feature of the source node; dimensionality reduction and projection processing are carried out on the aggregation features through a relative pose regression device module, and the relative pose of the rth node in the distributed formation relative to the virtual formation center reference point and uncertainty estimation of the relative pose are obtained. According to the method, the relative poses of the nodes in the multi-robot formation can be accurately and robustly estimated, and distributed positioning is realized.

This invention provides a method, system, apparatus, and storage medium for detecting a display device. The method includes: acquiring feature values ​​of each point in a grayscale image displayed by the display device; the feature values ​​of each point forming an image matrix of the grayscale image; summing the feature values ​​of each column in the image matrix to obtain the feature sum of each column; determining the number of grayscale abrupt changes in the feature sums of all columns based on the feature sums of each column; determining the number of grayscale bars in the grayscale image based on the determined number; and determining the detection result of the display device based on the number of grayscale bars. The grayscale detection process is automated, eliminating the need for manual inspection. Furthermore, by superimposing the feature values ​​of each column as the data basis for the entire detection method, interference caused by angular deviations between the actual image and the image itself, as well as errors caused by uneven light emission from the display device, can be corrected, while simultaneously improving the overall detection speed.

This invention belongs to the field of robotic grinding and polishing technology, and specifically discloses a robotic end-to-end grinding and polishing equipment and method for complex curved surface parts with rapid changeover. It includes a robot, a loading and unloading unit including loading and unloading trays, with workpieces mounted on quick-change fixtures, a loading and unloading gripping compensation unit including a compensation base, the compensation base having an internally hollow compensation protective cover, the compensation base and the compensation protective cover forming an air cavity, a compensation floating platform within the air cavity, one end of the compensation floating platform passing through the compensation protective cover and fixedly connected to a compensation flange, the compensation flange having a fixed loading and unloading compensation platform, the loading and unloading compensation platform being fixedly connected to the loading and unloading trays, and a belt grinder for rough and fine grinding of workpieces transferred by the robot. This invention, while ensuring high-precision machining consistency, greatly enhances the system's operational stability, process adaptability, and overall equipment lifespan.

The invention discloses a precision manufacturing method for an integrated structure of a harmonic reducer, and particularly relates to the technical field of harmonic reducer manufacturing, comprising the following steps: S1, process decision and optimization; s2, preparing a gradient material of the flexible gear ring; s3, establishing a reference; s4, rigid wheel cooperative running-in; s5, carrying out collaborative processing by a wave generator; s6, assembly integration and in-place fine adjustment are carried out; s7, pre-tightening solidification and healthy fingerprint implantation; and S8, collecting and associating initial health information. According to the method, random errors caused by part tolerance accumulation are fundamentally eliminated through'digital twinborn model reverse optimization 'and'collaborative running-in based on unified reference', so that key performance indexes of products not only reach a tip level in absolute value, but also are highly consistent in batches, and the product quality is improved. And the contradiction between wear resistance of the tooth part and fatigue resistance of the root part is broken from the material level, and fatigue crack initiation can be obviously delayed, so that the service life of the whole machine stably breaks through and exceeds that of imported same-grade products.

This invention discloses a digital road network-assisted inertial autonomous navigation method based on an index table, relating to the field of inertial autonomous navigation in the aerospace strapdown inertial navigation technology. The method includes: acquiring a set of equally spaced road network data points based on high-precision road network location information and generating a road network index table; matching inertial navigation positioning points with the road network index table; and correcting navigation parameter errors based on navigation parameters output by the inertial navigation algorithm and the matching results between the inertial navigation positioning points and the road network index table. By combining road network location information with inertial navigation results for error correction, the accuracy of the inertial and odometry autonomous navigation system can be improved.

The application provides a battery state of health evaluation method and a charging system, and belongs to the technical field of electric vehicle charging. A plurality of vehicles to be tested are subjected to charging tests to obtain corresponding charging test data, and a target mapping curve is fitted based on each charging test data; a plurality of charging process data are screened from a charging database, and each charging process data is calibrated based on the target mapping curve to determine the current maximum available capacity corresponding to each charging process data; charging sample data are determined according to each calibrated charging process data, each current maximum available capacity and a rated capacity; a target battery state of health evaluation model is trained based on the charging sample data; real-time charging process data of a target vehicle are obtained, and the real-time charging process data are input into the target battery state of health evaluation model to obtain a battery state of health evaluation result. The application can improve the efficiency and accuracy of battery state of health evaluation.

The invention provides a mining area locomotive positioning method, device and equipment and a medium, and the method comprises the steps: marking track position coordinate points switched by different operation scenes based on a constructed mining area electronic map, correspondingly setting a corresponding to-be-switched positioning strategy, and guiding and realizing locomotive operation scene confirmation and locomotive positioning strategy switching; the method comprises the following steps: determining a current track position coordinate point in real time according to an electronic map of a mining area, determining a to-be-operated scene of a locomotive and a corresponding to-be-switched positioning strategy when the locomotive runs to the operation scene to switch the track position coordinate point, and switching the locomotive positioning strategy to realize intelligent positioning of the locomotive. Based on a radar and a point cloud identification positioning strategy, identifying the position of a significant feature object for dynamically correcting the accumulated error of the odometer; wherein the positioning strategy comprises a GNSS positioning strategy of which an operation scene is a sky leakage area and an odometer positioning strategy of a satellite signal shielding area. According to the method provided by the invention, the equipment cost, the maintenance cost and the computing resources are reduced while the accuracy of system positioning is ensured.

This application provides a method and related equipment for identifying and issuing early warnings of potential hazards, belonging to the field of artificial intelligence technology. The method includes: acquiring video stream data and prior information; extracting transmission line channel data and core equipment monitoring areas from the video stream data based on the prior information; identifying transmission line channel data using a channel hazard identification model to obtain environmental hazard results; identifying core equipment monitoring areas using an equipment status monitoring model to obtain equipment fault results; generating early warning data based on the environmental hazard results and equipment fault results; obtaining manual review results corresponding to the early warning data; and updating the parameters of the channel hazard identification model and the equipment status monitoring model using an incremental learning strategy based on the early warning data and the manual review results. This application can improve the intelligent operation and maintenance level of transmission lines and the accuracy and real-time performance of monitoring and early warning.

This invention provides a cross-modal high-precision localization method for mobile robots based on 3D Gaussian splashing, including: acquiring a point cloud map of the scene; obtaining a single-frame RGBD depth map in real time to construct a high-precision point cloud map of the scene; generating initial 3DGS points, converting pixel depth to 3D coordinates, and initializing Gaussian attributes; converting the 3DGS into a virtual RGB image to simulate 3D Gaussian projection onto the camera plane, generating a rendering result; comparing the rendered image with the real RGB image, using L1 photometric loss to measure the difference between the rendered image and the real image; inversely optimizing the 3DGS parameter gradient descent to update the Gaussian position, shape, and color iteratively until the loss converges, and outputting the optimized 3DGS; extracting the spatial coordinates and color of the 3D Gaussian from the local point cloud P to generate an RGBD optimized point cloud; aligning the local point cloud P with the global map M; determining whether the robot localization is complete; and outputting the high-precision localization.