116results about How to "Ensure objectivity" patented technology

The invention relates to the technical field of cell reconstruction evaluation, in particular to a comprehensive evaluation method, system and device for old cell reconstruction and a medium. According to the method, firstly, three types of basic data of physical detection, resident investigation and policy requirements are obtained, the integrity of evaluation indexes is ensured, quantitative analysis is performed by adopting a preset technical evaluation model, and the objectivity of the evaluation process is ensured; secondly, time sequence comparison and transverse comparison of historical investment data are introduced, and sustainability of transformation benefits is embodied; and finally, the property management state is taken as a key variable to be incorporated into a comprehensive evaluation system, a systematic evaluation method is provided for old community reconstruction, and the accuracy of an evaluation result is improved.

The invention relates to a deep-valley large-span bridge suspension pouring construction safety risk dynamic assessment method. The method comprises the following steps: S1, constructing a suspension pouring construction stage subjective and objective fusion analysis database; s2, preliminarily establishing a Bayesian network model, a network structure and network parameters, and carrying out adaptability optimization during target bridge risk assessment; s3, constructing a Bayesian network model adaptability module; s4, constructing a dynamic assessment guidance-time module, and establishing a risk dynamic assessment model without evidence guidance; s5, constructing a dynamic assessment guidance-evidence module, and establishing a risk dynamic assessment model with evidence guidance; according to the method, comprehensive safety evaluation of comprehensively considering the risk occurrence probability and the risk loss is realized, and the objectivity of safety evaluation is ensured; according to the method, the dynamic assessment of the risk is realized, so that the security risk assessment process is closely combined with the actual site construction, the reliability and accuracy of the assessment result are ensured, and finally a management basis is provided for a decision maker through a highly visual result.

The invention provides a personnel cognitive competence assessment and recovery method based on big data, and the assessment method comprises the steps: collecting basic data of a to-be-assessed target personnel, and sequentially carrying out a plurality of assessment tests under each cognitive competence assessment classification on the target personnel based on a plurality of preset cognitive competence assessment classifications; obtaining test data, a single capability evaluation value and completion time of each evaluation test, inputting the basic data and each test data into a prediction model, and calculating a big data analysis index of each evaluation test based on a big data analysis capability evaluation value output by the prediction model; and calculating a final cognitive competence assessment result of the target person according to the single competence assessment value of each assessment test, the completion time and the big data index analysis index. According to the method, a computer technology and a big data analysis technology are utilized to carry out multi-dimensional comprehensive assessment on the cognitive competence of the operator, and the accuracy, intelligence and comprehensiveness of assessment are improved.

The present invention relates to the technical field of smart breeding and intelligent equipment, and specifically to a device for detecting the rumen fullness of a dairy cow. The detection device comprises: an ultrasonic distance measurement module for measuring distance, a calculation module for calculating the rumen fullness, a display module for displaying results, a storage module for storing data process and result data, a power module for providing power supply, a gripping handle for convenient holding, a power switch for controlling the on and off of the power supply, a measurement button for the user to start the measurement, and a charging port for charging the device. The present invention also proposes a method for detecting the rumen fullness of a dairy cow. The method is performed using the above-mentioned detection device, can realize the quantitative detection of the rumen fullness of the dairy cow, and convert the quantitative detection result into a rumen fullness score. The detection result is accurate, the use is convenient and reliable, and the practicability is strong.

The invention relates to a ventilation detection device for a myasthenia gravis patient, and the device comprises a muscle strength monitoring module which is configured to monitor the swallowing muscle of the myasthenia gravis patient and the muscle activity of the near end of the limb, and obtains the muscle strength data of the myasthenia gravis patient; the respiration monitoring module is configured to detect the respiration frequency, the tidal volume of each respiration cycle and the inspiration time of each respiration cycle under the condition that mechanical assisted ventilation is carried out on the myasthenia gravis patient, and the change trend along with time is obtained; the control module is in signal connection with the muscle strength monitoring module and the respiration monitoring module, and is configured to control the respiration monitoring module when the muscle strength data of the serious myasthenia patient is lower than a preset muscle strength threshold value and the change trend of the respiration frequency, the tidal volume of each respiration cycle and the inspiration time along with the time is inconsistent with the change trend of pre-stored corresponding parameters; and determining that man-machine resistance exists in the mechanical assisted ventilation process of the myasthenia gravis patient.

The invention provides a question and answer system evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: inputting an evaluation question into a question and answer system, and obtaining an associated text obtained by the question and answer system through retrieval based on the evaluation question, and an output answer generated by the question and answer system based on the evaluation question and the associated text; based on the evaluation question and the associated text, determining the retrieval precision of the question and answer system; and determining an evaluation result of the question and answer system based on the retrieval precision and the output answer. According to the method and device, the electronic equipment and the storage medium provided by the invention, comprehensive evaluation is carried out on the question-answering system from two aspects of retrieval performance and answer generation performance, manual participation is not needed, subjectivity and inconsistency possibly introduced by manual evaluation are eliminated, objectivity, comprehensiveness and repeatability of evaluation of the question-answering system are ensured, and the evaluation efficiency of the question-answering system is improved. Therefore, an accurate and reliable evaluation result is obtained.

The invention discloses an intelligent grouting progress monitoring management and control method and system, and relates to the technical field of intelligent grouting, and the method comprises the steps: obtaining a preset video monitoring frequency range and a preset video monitoring duration range, and obtaining a plurality of random video monitoring vectors based on a random number generation method; analyzing monitoring redundant data and monitoring load data of grouting progress monitoring under different video monitoring vectors; constructing a progress monitoring effect evaluation model based on machine learning according to the monitoring redundant data and the monitoring load data; constructing a video monitoring vector effect display model based on the three-dimensional model according to the output of the progress monitoring effect evaluation model and the corresponding video monitoring vector, and performing data analysis on the video monitoring vector effect display model to obtain an optimal video monitoring vector which is used for managing and controlling the monitoring process of the grouting progress; the method is used for solving the problem of poor monitoring caused by shooting disorder during grouting progress monitoring in the prior art.

The present invention provides a method for erosion gully control, which relates to the technical field of erosion gully control, including using a drone to collect images of a to-be-controlled area, generating a three-dimensional scene image of the to-be-controlled area; determining various types of construction control areas based on the gully head, gully tail and gully; performing corresponding control construction on various types of construction control areas; setting a number of monitoring cycles, performing data collection in each monitoring cycle, and evaluating the erosion gully control effect based on the data collection results. The present invention solves the technical problem that the existing erosion gully control engineering measures require manual field investigation to obtain a two-dimensional image of the to-be-controlled area before engineering planning, which is time-consuming and labor-intensive, and the image finally obtained usually has a large error, which directly affects the final control effect. At the same time, after the construction of the control project is completed, there is a lack of monitoring of the control project, and timely feedback and timely adjustment of the control effect cannot be made. It is only static control, and the control effect cannot be scientifically evaluated.

The application discloses a kind of full-diameter core radial permeability test error calculation methods, belong to oil and gas exploration technical field, it is characterized in that, include the following steps: a, preparation core;B, the true value k of permeability when the texture of core and the end surface of core are parallel is calculated / / ; the true value of permeability when the texture of core and the end surface of core are vertical is calculated to simulate the permeability value c that passes through the left and right sides of cuboid;D, the radial permeability test error value ε of core is calculated by formula 5.The application can carry out error analysis to core radial permeability test, effectively estimate the accuracy of core radial permeability test, carry out reliability evaluation to core radial permeability test.

This invention discloses an automatic verification and risk warning method for international trade information based on smart ports. It collects multi-source document data, including customs declarations, bills of lading, transportation routes, payment vouchers, and certificates of origin, and converts them into a standardized format through field mapping rules. A cross-document verification rule base is established, and rule matching is performed on key fields such as invoice amount and declared price, and bill of lading quantity and packing list, using a weighted scoring mechanism to calculate consistency scores. A spatiotemporal graph of trade behavior is constructed, and risk characteristics are statistically analyzed using an improved random walk algorithm, outputting a dynamic risk feature matrix. This matrix is ​​matched with a historical risk case database, and the probability of risks such as smuggling, false declarations, and tax evasion is calculated in conjunction with regional risk benchmarks. Risk thresholds are dynamically adjusted based on port clearance flow, triggering adaptive warnings and generating warning information including warning level, risk type, and inspection measures, thereby improving the intelligence level of port supervision.

This utility model relates to a training system and hand probe device for security personnel, comprising: a training uniform, a mannequin, and a hand probe device; the training uniform is worn on the mannequin, and a wireless communication tag is affixed to a predetermined position on the inside of the uniform; the hand probe device communicates wirelessly with a client, and one or more wireless communication tag readers are installed within the hand probe device. This utility model facilitates in-depth analysis and accurate feedback of training content, effectively avoids the subjectivity and arbitrariness of manual assessment, ensures the objectivity and consistency of assessment results, and helps improve the quality and effectiveness of security personnel training.

The present application relates to the technical field of data processing and business intelligence, and discloses a multi-dimensional data driven self-brand growth value prediction method, which extracts a main feature vector of a previous time step, calculates a dynamic weight for a same-product white label control group to generate a dynamic benchmark, and accordingly peels off a pure brand-driven incremental index, and combines a repeat purchase decay rate and a search index to construct a three-dimensional state vector; through eigenvalue decomposition on a state covariance matrix, a current main feature vector and a maximum eigenvalue are obtained, and the main feature vector is fed back to a weight calculation link to form a closed loop; finally, the decomposition result and a historical state sequence are respectively input into a pre-trained machine learning model to output a brand life cycle stage and a future brand asset valuation. The present application accurately anchors a reference system through a dynamic feedback mechanism, and realizes comprehensive and accurate diagnosis and prediction of brand value.

This invention relates to an equivalent accelerated testing method for plexiglass based on creep constitutive equations, belonging to the technical field of accelerated testing of polymer structures. Addressing the testing requirements for the creep performance of plexiglass structures, this invention shortens the testing cycle and saves testing costs through the design of testing temperature and pressure. Simultaneously, the reduced testing time indirectly saves manpower and material resources, and also reduces the frequency of random risks such as power outages and equipment failures. Therefore, the testing method of this invention has significant timeliness and economic efficiency, and can effectively improve the accuracy of quantitative analysis, possessing important value for engineering practice.

The application relates to the technical field of filling mining, and discloses a detachable L-pipe flow parameter auxiliary device integrated with automatic liquid level and flow velocity detection, which comprises an L-pipe test device, a high-precision detachable absolute pressure type liquid level automatic detection module, a high-precision detachable sleeve type non-contact flow velocity automatic detection module and an independent data acquisition and processing unit; the L-pipe test device is composed of a material containing hopper, a vertical pipe and a horizontal pipe, the bottom of the material containing hopper is provided with a flow control valve, and the vertical pipe and the horizontal pipe are sealingly communicated through an elbow to form an L-shaped pipeline. The pressure sensor at the bottom of the vertical pipe is used to deduce the static column height in an absolute pressure measurement mode, and the method is not influenced by factors such as slurry color, transparency and surface foam, and the disadvantages that visual measurement and capacitive liquid level measurement are easily influenced by slurry foam and turbidity are avoided. Meanwhile, the non-contact Doppler flowmeter built in the sleeve at the outlet of the horizontal pipe monitors the flow velocity in a non-invasive mode, does not interfere with the slurry flow field, and ensures the accuracy of the flow velocity data.

The present application provides a test device and a test method for the starting torque of a gas rudder control mechanism, the test device comprising: a control mechanism simulation device, comprising: a simulated rudder surface connected to a power mechanism through a joystick; a first static loading device connected to the simulated rudder surface, configured to provide a simulated tensile load to the end of the simulated rudder surface; a second static loading device connected to the simulated rudder surface, configured to provide a simulated pressure load to a position on the simulated rudder surface corresponding to the rudder shaft of the simulated rudder surface; a measuring component connected to the joystick, configured to measure the starting torque of the control mechanism simulation device; wherein the power mechanism and the first static loading device can control the simulated rudder surface to be in a first state, or control the simulated rudder surface to rotate a certain angle and be in a second state. The embodiment of the present application fully simulates the actual working conditions of the gas rudder control mechanism, ensures the accuracy and objectivity of the test process, and provides accurate and reliable input conditions for designing the gas rudder system.

The invention belongs to the technical field of immunoassay, and particularly relates to an immunohistochemical multicolor display method under a bright field microscope. The method comprises the following steps: developing a to-be-detected tissue sample by adopting a color combination of yellow, red, green or yellow, purple and cyan blue in sequence; the to-be-detected tissue sample comprises a tumor lymph tertiary structure, infiltrating lymphocytes, urothelium cancer cells, non-small cell lung cancer and prostatic cancer. According to the color developing method of the color combination mode, qualitative and quantitative detection of the to-be-detected tissue can be achieved. According to the staining and developing method provided by the invention, the diagnosis time is saved, the diagnosis efficiency is improved, and signals which are originally required to be displayed on three pathological sections can be concentrated on one section to be displayed at the same time.

The invention relates to the technical field of artificial intelligence and human-computer interaction, and discloses a rehabilitation training adjustment method and system based on multi-modal feature fusion and a storage medium, and the method comprises the steps: obtaining voice, face and physiological signals, constructing a multi-modal data stream, extracting features, and outputting a speech error classification identifier and a physiological signal quality index; splitting the facial action net displacement into healthy and affected sides, correcting affected side features based on healthy side features, and constructing visual representation; fusing each feature to output a comprehensive state vector; updating a dynamic baseline in a task gap, mapping a state vector, and screening to obtain an effective action set; calculating a composite reward and storing the composite reward in an experience playback pool to update the strategy network; and based on the action set, re-weighting the large model output probability, and generating a target interaction corpus. According to the method, the state sensing precision is improved by correcting the deviation of the affected side through the uninjured side, and a closed loop of self-adaptive adjustment of the rehabilitation difficulty and safe interaction text generation is realized by combining the dynamic baseline and penalty mechanism optimization reinforcement learning.

The application relates to the technical field of interface measurement, and discloses an electrolytic aluminum electrolyte aluminum liquid interface measurement system based on conductive characteristics, which comprises a data acquisition module that obtains impedance distribution data at different depth positions by controlling a probe to move in a vertical direction and collecting impedance signals; the data acquisition module adopts a multi-frequency excitation mode to obtain impedance responses at different frequencies during the movement of the probe, and adaptively adjusts the movement speed of the sampling probe according to the stability of the collected signals; an impedance change rate is extracted according to the impedance distribution data, the interface is judged based on the impedance change rate, and a candidate interface of the electrolytic aluminum electrolyte aluminum liquid is determined; one candidate interface of the electrolytic aluminum electrolyte aluminum liquid is selected, random multi-point measurement is carried out in the horizontal direction of the candidate interface, measurement information in the horizontal direction of the candidate interface is collected, and an evaluation model is constructed; and the application helps to improve the recognition accuracy of the interface.

The utility model discloses a kind of vehicle swing endurance test devices, for solving the technical problem that current vehicle swing test is generally completed by hand operation, to cause inefficient test and unable to guarantee the accuracy of test.The utility model's vehicle swing endurance test device, fixed support, driving part, transmission assembly, swing assembly and the fixture for clamping measured piece;The driving part is installed on the fixed support and is connected with the swing assembly by the transmission assembly, the swing assembly is rotatably connected on the fixed support, and the fixture is connected with the swing assembly;The driving part is used to drive the swing assembly relative to the fixed support reciprocating swing by the transmission assembly to drive the measured piece on the fixture reciprocating swing.

This invention discloses a method, device, and medium for assessing street light leakage risk based on residual current, relating to the field of street light risk assessment technology. The method includes dividing historical residual current data from the low-voltage side of a dedicated street light transformer into a risk-to-be-investigated dataset and a normal baseline dataset; calculating the baseline mean and baseline standard deviation based on the normal baseline dataset; calculating the investigation mean based on the risk-to-be-investigated dataset; if the difference between the investigation mean and the baseline mean is greater than or equal to n times the baseline standard deviation, the dedicated street light transformer is determined to have a high risk of water immersion leakage; for street lights within the power supply range of a dedicated street light transformer with a high risk of water immersion leakage, the street lights with high water immersion leakage risk are determined based on a comparison of the vertical height of the bottom edge of their maintenance door from the ground and a water depth threshold. This invention, by establishing a dynamic statistical benchmark and significance testing, achieves the distinction between normal aging current of the line and sudden water immersion current during rainstorms.

This invention belongs to the field of carbon asset assessment technology, specifically relating to a method and system for carbon asset potential analysis and assessment based on multi-indicator comprehensive evaluation. The method includes the following steps: generating correction factors based on historical emission data of carbon assets; correcting historical emission data using the correction factors to obtain corrected emission values; and determining the assessment level of the carbon asset based on the corrected emission values. This invention identifies peak and trough points in time series data to define peak and trough periods, compares the average emission value within a period with the global average emission value to determine whether it belongs to positive or negative fluctuations, and sets corresponding adjustment parameters. This qualitatively classifies and quantitatively characterizes historical fluctuations, identifying their existence and revealing their specific nature, providing dynamic characteristic basis for subsequent carbon asset potential analysis and assessment, thereby improving the accuracy of the assessment results.

The invention provides a user classification method and device, electronic equipment and a storage medium. According to the user classification method, firstly, a supply chain-user sparse matrix of users to be classified is constructed; and performing weighting processing on the supply chain-user sparse matrix to obtain a weighted supply chain-user sparse matrix. And carrying out dimension reduction processing on the weighted supply chain-user sparse matrix to obtain a supply chain feature vector of the to-be-classified user. And on the basis of the supply chain feature vector and the user feature vector of the to-be-classified user, calculating to obtain a feature vector of the user. And inputting the feature vector into a pre-constructed classifier for processing to obtain a classification result of the to-be-classified user. Therefore, when the method is used for classifying the users, not only are the characteristics of the users considered, but also the relation between the users and the supply chains is considered, it is guaranteed that the user classification result is more objective, and the user classification accuracy is improved.

The invention relates to the technical field of communication, and discloses an audio test method and system of a wireless audio transmitter and a storage medium. The audio testing method comprises the following steps: connecting a wireless audio transmitter with an audio input source through an audio receiving link of the wireless audio transmitter, and connecting the wireless audio transmitter with audio playing equipment through an audio sending link of the wireless audio transmitter; the audio input source is controlled to play a pre-stored standard test audio, and the wireless audio transmitter receives and obtains a first to-be-tested audio and analyzes the first to-be-tested audio to obtain a test result of the audio receiving link; and the wireless audio transmitter is controlled to play the pre-stored standard test audio, and the audio playing device receives and obtains the second to-be-tested audio and analyzes the second to-be-tested audio to obtain a test result of the audio sending link. According to the embodiment of the invention, automatic testing is adopted, objectivity and consistency of testing results can be ensured, core quality indexes can be accurately quantified, accurate detection results can be output, testing efficiency is greatly improved, and labor cost is reduced.

The application provides a kind of based on visual detection's sports glasses dimming film evaluation method and system, it is related to sports glasses manufacturing technical field, its technical solution main point is: by obtaining positioning map, determine clamping offset and correct, convert image to uniform lens coordinate, compare the candidate abnormal area in different images and determine its stability, finally mark effective feature and determine evaluation result, effectively solve the problem that visual information is unstable in prior art due to clamping deviation and observation condition change, ensure the objectivity and accuracy of evaluation result, have by clamping offset correction and image coordinate uniform, effectively eliminate the visual information fluctuation caused by clamping deviation and observation angle change, ensure that visual information accurately reflects the real state of film, thereby improve the objectivity and accuracy of evaluation result.

The invention belongs to the technical field of lightning positioning, and particularly relates to a lightning positioning method based on low-frequency whistle wave dispersion characteristics of an electromagnetic satellite, and the method comprises the steps: obtaining ELF / VLF electromagnetic field secondary data of an SCM load and an EFD load of a Zhang Heng No.1 satellite, and carrying out the time sequence reconstruction of original data; calculating satellite space physical coordinates, respectively generating dynamic power spectral density maps of the magnetic field data and the electric field data through short-time Fourier transform, and performing time alignment and cutting processing on the PSD maps; identifying whistle wave traces with continuous drop frequency characteristics on the PSD graph, and classifying regularly spaced whistle waves into multi-hop whistle events according to time continuity and morphological similarity; selecting high-frequency region feature points and low-frequency region feature points on each whistle wave trace, and recording coordinate data of the feature points if the high-frequency region feature points and the low-frequency region feature points are satisfied;

The invention provides a contact lens defect detection model training method and device, and relates to the technical field of image processing, the method comprises the steps of obtaining real sample data and real sample labeling data, customizing defect types and directionally generating sample labeling data, samples in the directional sample data comprise one or more defects, and samples in the directional sample data comprise one or more defects; and training the contact lens defect detection model by using the real sample data and the directional sample data. Due to customizing the defect data, contact lens samples containing specific or multiple defects are permitted to be generated in a targeted manner. The directionally generated samples can cover various defect types possibly encountered in actual production, and ensure that the model can fully learn the characteristics of the defects in the training process, so that the defect detection precision and sensitivity are improved.

The invention discloses a supply chain ESG risk dynamic assessment method and system based on multi-source data fusion, and the method comprises the following steps: 1, collecting multi-source heterogeneous data at each node of a supply chain, processing the data, and generating a node data set containing ESG risk features; 2, based on the node data set generated in the step 1, in combination with attribute parameters of supply chain nodes and external dynamic information, adaptively generating a dynamic evaluation benchmark; and step 3, on the basis of the node data set generated in the step 1 and the dynamic assessment benchmark generated in the step 2, constructing a risk conduction model to carry out real-time risk assessment, and outputting an assessment result containing a risk conduction path. And multi-source implicit information is fused by combining a space and semantic association technology, so that the objectivity and comprehensiveness of an evaluation basis are ensured.

The application discloses an automatic image checking tool for a civil aircraft display system, wherein an image synchronization module is used for continuously sending a synchronization signal outward; an image acquisition module synchronously acquires a to-be-tested image and a standard image according to the synchronization signal and saves the to-be-tested image and the standard image onto a hard disk; an image cache module reads two-way image data in a fixed data format from the hard disk into a memory according to a checking rate; an image difference detection module obtains image pixel differences by performing pixel subtraction on the to-be-tested image and the standard image, eliminates noise point interference and highlights difference information through a plurality of graphic operations, and finally explicitly identifies each difference information through a mark box. An image checking result output module is used for recording the difference information. The application realizes the image checking function at the pixel level, can timely find and correct errors in the image, ensures that pilots obtain accurate information, and can meet the checking requirements of high reliability and high precision.

The application relates to the technical field of computer vision and image processing, and particularly discloses a paper surface mold spot growth dynamic detection method and device; the detection method comprises the following steps: S1, acquiring a surface visible light image of a paper sample to be detected; S2, pre-processing the surface visible light image; S3, inputting the pre-processed image into a mold spot segmentation model pre-trained to obtain a pixel-level segmentation result image, wherein the segmentation result image at least contains a mold spot area category and a paper healthy area category; and S4, based on the segmentation result image, calculating one or more quantitative indexes for representing mold spot growth states; the detection device comprises an image acquisition module, a preprocessing module, a segmentation module and an analysis module; and the application is beneficial to realizing high-precision segmentation of a paper surface mold spot area and dynamic quantitative analysis of a mold growth process.