21results about How to "Avoid Data Bias" patented technology

The invention discloses a deep learning model-based micro-nano structure and spectral characteristic relation measuring and calculating method, which comprises the following steps of: preparing micro-nano structure arrays containing multiple unit types, different sizes and periods, measuring and collecting reflection spectral data of each array at high throughput, and constructing a high-quality experimental spectral data set; and training a deep learning model by using the experimental data set to realize forward prediction of the experimental reflection spectrum corresponding to the geometric parameters of the micro-nano structure and reverse prediction of the geometric parameters and shape of the micro-nano structure corresponding to the target reflection spectrum. A multi-layer perceptron neural network model is adopted in forward prediction, and a convolutional neural network model is adopted in reverse prediction. According to the method, the difference between the simulated spectrum and the actual spectrum is effectively made up, and the efficiency and precision of micro-nano structure spectrum design are remarkably improved.

This invention provides a settlement monitoring device, including a base on which a total station is mounted, and several wheels at the bottom of the base. Anti-tipping mechanisms are provided on both sides of the base, each mechanism comprising a pressing component, a moving component, and a pushing component. This invention can significantly improve the work efficiency and measurement accuracy of surveyors.

The application provides a variable-pitch screw chute model generation method and device based on discrete element simulation, and relates to the field of bulk material conveying equipment optimization, and comprises the following steps: constructing a variable-pitch screw chute simulation model according to preset discrete element simulation parameters; performing discrete element simulation on the variable-pitch screw chute simulation model, simulating the process of bulk material sliding down from top to bottom along the corresponding chute, and obtaining corresponding sliding parameter distribution values; and selecting an optimal variable-pitch screw chute simulation model from the variable-pitch screw chute simulation model as a variable-pitch screw chute optimization model according to the corresponding sliding parameter distribution values. The application can efficiently design a variable-pitch screw chute, and solve the problems of gradually increasing impact of bulk material from top to bottom, dust raising, crushing and serious wear of the lower part of the chute in the screw chute.

The invention discloses an automatic driving decision-making method, device, equipment and program product in extreme weather. The method comprises the following steps: acquiring camera data, millimeter wave radar data, laser radar data, infrared thermal imaging data and environment monitoring data of a target vehicle; determining credibility scores of the camera data, the millimeter wave radar data, the laser radar data and the infrared thermal imaging data according to the environment monitoring data and a preset performance attenuation model; screening out multiple pieces of credible sensing data according to the credibility score, and determining a credible weight of each piece of credible sensing data; performing data fusion on the credible sensing data according to the credible weight to obtain multi-source sensing data, and inputting the multi-source sensing data into a pre-trained automatic driving decision model to obtain a target control strategy; and performing automatic driving control on the target vehicle according to the target control strategy. The method improves the safety and accuracy of automatic driving control in extreme weather, and can be applied to the technical field of automatic driving.

The application discloses a monitoring point layout optimization method and system based on regional scale nitrogen leaching, and relates to the field of agricultural environmental protection.The method comprises the following steps: acquiring a regional area and regional data; based on the regional data, drawing a slope grade map, a groundwater level grade map and a nitrogen accumulation map of the region respectively; performing pixel-to-pixel alignment, superposition and combination calculation on the slope grade map, the groundwater level grade map and the nitrogen accumulation map of the region to generate a plurality of basic units; under a constraint condition, performing initial layout of monitoring points in each basic unit according to the regional area, an obstacle layer and a preset monitoring point spacing; based on an average distance minimization criterion, constructing a target function of the monitoring points; and based on the target function, optimizing the monitoring points in the initial layout by using a space simulated annealing algorithm to obtain an optimized layout of the monitoring points.The application can improve the monitoring accuracy of regional scale nitrogen leaching and the layout efficiency of monitoring well points.

This utility model belongs to the field of symmetry detection and discloses a device for detecting the symmetry of overflow bricks. It includes a first detection device and a second detection device, which are symmetrically installed on both sides of the brick. The first and second detection devices detect the symmetry of the brick through a measuring device. The measuring device accurately quantifies and evaluates the symmetry of the brick based on the distance between the upper surface of the first detection element in the first detection device and the upper surface of the brick, and the distance between the upper surface of the first detection element in the second detection device and the brick. Compared with the subjective judgment of traditional manual visual inspection, comparing specific distance values ​​can more objectively and efficiently determine the symmetry of the brick structure, effectively improving the accuracy and reliability of brick quality inspection.

The utility model relates to the field of auxiliary frock provides a kind of anti-roll bar link assembly device. Anti-roll bar link assembly device includes base;First clamping component, setting in base, first clamping component includes the clamping groove of being set in pair, clamping groove is used to place the node mandrel of anti-roll bar link, first clamping piece is arranged in clamping groove for the node mandrel clamped in clamping groove;Second clamping component, setting in base, second clamping component includes clamping rod, clamping rod is used to the bearing of the rod end of anti-roll bar link clamped between clamping rod and base. The anti-roll bar link assembly device can firmly fix node mandrel, avoid the positioning deviation caused by the thickness change of mandrel;Can eliminate the wobble clearance of rod end bearing;Reduce the data deviation after assembly;Adjustable first clamping piece can be adapted to node mandrel of different thickness without replacing parts, save the changeover adjustment time of traditional frock.

The utility model discloses a kind of depth micrometer indication error testing tools, including testing tool base, support leg, depth micrometer and detection mechanism, four support legs are symmetrically fixed at the bottom four corners of testing tool base, detection mechanism is set at the top of testing tool base, and depth micrometer is connected and locked in detection mechanism.In the utility model, by setting detection mechanism, and then by depth micrometer measuring plate, baffle, standard gauge block are jointly combined to form detection structure, and by the connecting point of vertical and parallel arrangement, so that depth micrometer is detected, its measuring end is completely parallel with standard gauge block, avoid skew and cause data deviation, simultaneously adopt standard gauge block as reference, only need to compare micrometer reading and gauge block calibration size directly when detecting, eliminate the sight error of artificial alignment scale line, significantly improve detection reliability, traditional method needs to read micrometer and testing tool scale simultaneously.

The invention provides an intelligent power and environment resource census method and device, electronic equipment and a storage medium, and relates to the technical field of communication network equipment management, and the method comprises the steps: recognizing an equipment image based on a preset large model, and obtaining the equipment information of target power and environment equipment; identifying the terminal panel image based on a preset large model to obtain terminal state information of each terminal of the target moving ring equipment; identifying the capacity identification image based on a preset large model to obtain terminal capacity information of each terminal; and associating the equipment information, the terminal state information and the terminal capacity information of the target moving ring equipment to generate resource census information of the target moving ring equipment. According to the method and the device provided by the invention, manual data acquisition is replaced by image acquisition and preset large model identification, so that the statistical efficiency of basic data of equipment resources is improved; the basic data of the equipment resources in the power and environment system are accurately obtained, and the management level of the equipment resources in the power and environment system is improved.

This utility model discloses an auxiliary positioning device for leakage detection, including a base plate. A motor is fixedly installed on the bottom side of the base plate. The output end of the motor rotates through the base plate and is fixedly sleeved with a gear and a first pulley. A first toothed plate and a second toothed plate are respectively provided on the outer side of the gear. The rotation of the motor drives the gear, and the first toothed plate and the second toothed plate meshing with the gear push the connecting rod and the connected first clamping plate to move towards the bottom of the pipe. At the same time, the first pulley at the output end of the motor drives the linkage rod in the second pulley to rotate via a belt. Then, through the meshing of the first bevel gear and the second bevel gear, the bidirectional screw rotates, driving the slider and the second clamping plate to move towards the top of the pipe. Compared with the traditional single-sided or limited-direction fixing, this device uses multiple clamping plates to clamp synchronously from the top and bottom sides, ensuring uniform force on the outer circumference of the pipe, greatly improving stability, effectively avoiding the displacement of the detection equipment due to pipe vibration and displacement, and significantly improving the accuracy and reliability of positioning and clamping.

The utility model discloses a bridge structure stress strain monitoring device which comprises a workbench, a back plate is fixedly installed on one side of the top of the workbench, and supporting legs are symmetrically and fixedly installed at the bottom of the back plate. An adjusting mechanism is arranged between the workbench and the back plate, and a fixing assembly is arranged in the adjusting mechanism. Wherein the adjusting mechanism comprises a sliding groove formed in the working table, so that strain detection can be rapidly carried out on reinforcing steel bars in a bridge structure, the effect of fixing the reinforcing steel bars of various lengths can be achieved, compared with a traditional manual reinforcing steel bar bending mode, the position of the reinforcing steel bars can be accurately fixed, the detection precision is greatly improved, and the working efficiency is improved. The mechanical pushing structure realizes uniform and stable force application, so that the bending degrees of the steel bars are consistent, the repeatability and the reliability of detection results are enhanced, a solid guarantee is provided for accurately evaluating the stress-strain performance of the steel bars, and meanwhile, a large amount of manpower is saved.

The invention provides a rolling bearing multi-working-condition data expansion method based on digital twinning, and the method comprises the steps: collecting original vibration signals of a rolling bearing under various working conditions through a physical experiment table system, and recognizing an equivalent boundary condition; solving the six-degree-of-freedom coupling dynamic model to obtain an acceleration vibration signal for fault diagnosis; performing model fault verification on the six-degree-of-freedom coupling dynamic model through the five evaluation dimensions to obtain a high-fidelity model; based on the high-fidelity model, utilizing an AGA algorithm and a KAN network to construct a nonlinear mapping relation between a working condition and an optimal physical parameter vector, outputting an accurate model parameter suitable for a new working condition, and obtaining an adaptive digital twinborn model; and automatically generating a hybrid enhanced data set by utilizing a batch processing interface of the constructed virtual interaction platform. According to the method, data generation and expansion of the rolling bearing under multiple working conditions can be realized, and rich and controllable data support is provided for fault diagnosis, health monitoring and model training.

The utility model discloses a portable device for testing the permeability coefficient of a high-activity plant-growing capsule material, and relates to the technical field of permeability testing. The water supply set comprises a water tank, a flow control valve and a water pipe, and the flow control valve is fixedly installed on the inner wall of the water tank and communicated with the water pipe; the measuring set comprises an outer cylinder, an inner cylinder, a filter screen, a connecting steel plate, a digital water level sensor and a flexible sealing washer, the outer cylinder and the inner cylinder are fixed through the connecting steel plate, the digital water level sensor is installed on the inner wall of the inner cylinder, the water pipe is communicated with the interior of the outer cylinder, and the filter screen is fixedly installed between the top of the outer cylinder and the top of the inner cylinder; the flexible sealing washer can be placed at the bottom of the inner cylinder and attached to the inner wall of the inner cylinder. And the handheld grip is hinged to the outer wall of the outer cylinder. The portable measuring device can effectively solve the problem that a traditional measuring mode is inconvenient to operate in the field, time is saved for a user, the permeability coefficient of a material can be rapidly measured, and reference is provided for follow-up engineering operation.

The application relates to the technical field of vehicle door vibration sensing, in particular to a vehicle door vibration test system and method, a vehicle, a storage medium and a program product, which comprise: a power amplifier connected with the positive and negative poles of a vehicle door sound; a vibration sensor used for collecting a vibration response value at a vehicle door handrail in an idle state; an upper computer used for controlling the vehicle to be in the idle state, controlling the power amplifier to send a frequency signal based on a target test working condition, identifying an assembly modal frequency of the vehicle door, obtaining the vibration response value at the vehicle door handrail, and determining a vibration test result of the vehicle door in the idle state according to the assembly modal frequency and the vibration response value. Therefore, the problems of great influence of a sealing strip assembly and poor modal test precision in the related art are solved.

The utility model relates to a special tool for measuring the abrasion loss of a thermocouple of an internal mixer, and belongs to the field of testing tools for mixing tire rubber. The measuring scale is of a cylindrical structure, data scales are machined on the outer cylinder wall of the measuring scale, a screw hole is machined in the cylinder wall of the measuring scale, a locking bolt is screwed in the screw hole in a threaded fit mode, a compression spring is installed in an inner cavity of the measuring scale in the axial direction, and the outer end of the compression spring is connected with a cone. The device has the beneficial effects that data deviation caused by incorrect measurement in the measurement process is avoided, and the data for measuring the abrasion loss of the wear-resistant head of the thermocouple is accurate.

The application provides an index unified management and automatic generation method based on Internet of Things and algorithm model, comprising the following steps: S1: establishing a unified index type system and an index rule library; S2: generating related indexes of production line, model algorithm, algorithm model benchmark configuration; S3: unified standardized calculation real-time index; S4: unified index export realizes consistent data caliber of all platforms; S5: realizing general report configuration and display; the method does not need manual configuration of timing task, backend hard coding and writing of SQL script, significantly reduces development and configuration cost, improves index reusability, can quickly adapt to index demand change of various scenes; based on the unified index library, general report configuration is realized, without special person and special customization development, avoiding logical errors and data deviation caused by manual development, and guaranteeing the accuracy and reliability of the report; the same index is ensured to have the same display result at various places by using completely consistent calculation and statistical caliber, and the data authority is improved.

The utility model discloses a kind of clamps for tensile testing machine, it is related to tensile testing machine technical field, including a pair of oppositely arranged fixed mechanism, each group of fixed mechanism includes: second connecting plate, the central position of second connecting plate is equipped with first through-hole;A pair of clamping components, a pair of clamping components are staggered and arranged on the edge position of the upper and lower sides of second connecting plate, and the clamping component is used to fix bar stock;First connecting plate, first connecting plate is arranged at the end of clamping component located in outside, and threaded hole is formed in first connecting plate;The utility model is fixed by being provided with two groups of clamping components at each end of bar stock, so that bar stock is clamped firmly, the arc-shaped groove of first fixed plate and second fixed plate is rough curved surface, first fixed plate and second fixed plate are made of high-hardness alloy steel, and then prevent data deviation from occurring skidding phenomenon in the process of test.

The invention discloses an as-fired coal sampling process optimization method, and particularly relates to the field of optimization management, and the method comprises the steps: S1, building a coal flow transportation three-dimensional coordinate system, collecting basic parameters, real-time coal flow parameters and monitoring section coordinates, and synchronizing the basic parameters, the real-time coal flow parameters and the monitoring section coordinates to a data processing center; s2, constructing a coal flow uniformity coefficient, and calling coal types and equipment standard reference data; s3, monitoring cross section coal flow distribution weight, solving a y-axis optimal sampling coordinate and a z-axis sampling depth, and determining a sampling point three-dimensional coordinate; s5, classifying samples according to the coal flow uniformity coefficient, generating a unique sample traceability code, and associating the stored data to form a full-chain data chain; according to the method, by quantifying the incidence relation between the coal flow uniformity and the sampling representativeness, it is ensured that the samples can truly reflect the overall quality of the coal entering the factory, reliable data support is provided for accurate evaluation of the coal quality and business settlement, settlement disputes caused by sample deviation are reduced, and the scientificity of quality control is improved.

The invention discloses an aquaculture tail water treatment monitoring device, which belongs to the field of aquaculture and comprises a boat, a monitoring device, a shell and a monitoring system arranged on the boat. The aquaculture tail water treatment monitoring device takes a movable boat as a carrier, carries a monitoring unit integrated with a multi-parameter high-precision sensor, and is matched with a telescopic, automatic cleaning and intelligent control system. All-water-area dead-corner-free monitoring is achieved through boat movement, rope depth adjustment and propeller fine adjustment; a dual cleaning mechanism guarantees data accuracy, and an AI module automatically plans a path and early warns abnormity; solar energy and lithium battery dual power supply is suitable for field long-acting operation. The device can be remotely controlled, the labor cost is reduced, the device can adapt to various scenes such as industrial aquaculture and treatment effect evaluation through simple transformation, and efficient and reliable data support is provided for tail water treatment.

This utility model discloses a glass transmittance testing device, belonging to the field of glass transmittance testing. It addresses the lack of a stable and reliable testing method in the existing technology for inspecting and accepting the transmittance of incoming sapphire glass. It mainly includes a flame simulator mounted on a track platform. The track platform has a fixed frame, and the fixed frame has a detector that works in conjunction with the flame simulator. A glass support is provided between the detector and the flame simulator, and the glass support is slidably mounted on the track platform. The detector is connected to a PC via a communication device. This utility model improves upon existing flame detector-based material inspection methods, enabling the transmission rate testing of incoming sapphire glass using a flame detector to control the production quality of sapphire glass or other glass materials and improve testing efficiency.

The utility model relates to the technical field of deep foundation pit deformation monitoring, in particular to a deep foundation pit deformation monitoring device which comprises a deformation monitor and a supporting and installing part used for supporting and installing the deformation monitor. The deformation monitoring part is arranged in the supporting mounting part and is used for monitoring deformation of the deep foundation pit; the automatic rainy day protection part is arranged on the upper side of the supporting and mounting part and used for performing rainy day protection on the deformation monitor, the automatic rainy day protection part comprises an electric push rod, the electric push rod is arranged in the supporting and mounting part, a transparent protection cover is arranged at the output end of the electric push rod, and an automatic cleaning assembly is arranged on one side of the transparent protection cover; according to the utility model, all-weather monitoring and automatic protection functions are provided, through the arrangement of the rainy day automatic protection part, under the triggering of the rainfall sensor, the electric push rod automatically drives the transparent protection cover to cover the deformation monitor, so that rainwater erosion or mirror surface pollution is avoided, and the continuity of monitoring data is ensured.