83results about How to "Avoid subjective factors" patented technology

The invention discloses a risk assessment method and device, terminal equipment and storage medium. The method comprises the following steps of: acquiring a historical financial information of a sample user to construct training set; using random forests algorithm to construct a decision tree for the training set; constructing a random forest according to the generated multiple decision trees to obtain a financial risk assessment model; using the financial risk assessment model to predict the financial information of the user to be evaluated; counting the prediction results of each decision tree in the financial risk assessment model, and making full use of the voting result of each decision tree to further calculate the financial risk aversion coefficient of the user to be evaluated. According to the risk assessment method and device, terminal equipment and storage medium, predicting the financial information of the user by constructing a financial risk assessment model, counting andfurther calculating the predicted result of the model , , and thus obtaining the financial risk tolerance level of the user to improve the accuracy of the financial risk assessment for the user.

The invention discloses a method for differential counting of white blood cells based on morphology. The method includes the steps that after Wright stain is conducted on peripheral blood smears, a microscope is used for collecting an image; after the image is processed by a computer system, morphology parameter analysis is conducted on the white blood cells, and the white blood cells are divided into a lymphocyte area, a monocyte area, a granulocyte area and a cell extinction area; the morphology parameter analysis is conducted on the area cells which are divided in the previous step, and the cells are further divided into monocytes, lymphocytes, eosinophilic granulocytes and neutrophile granulocytes precisely; the differential counting statistics are carried out on the variety of the divided cells. The computer system is used for analyzing the processed image, several simple morphology parameters are used for making a two-dimensional scatter diagram, all the cells are presented in a statistical diagram mode, the white blood cells can be classified rapidly and precisely, white blood cell counting is automatic, compared with manual counting, the procedures are simple and fast, the diagnose speed is greatly increased, and accuracy is improved substantially.

The invention discloses a method for distinguishing between pure and adulterated honey based on combination of hydrogen nuclear magnetic resonance and a partial least square method. The method relates to food detection, and application of a hydrogen nuclear magnetic resonance fingerprint to food detection. The method comprises the following steps: firstly, building a pure honey database and a syrup-doped honey database respectively; secondly, building a distinguishing model, and carrying out a reliability test on the identification model; finally, distinguishing honey samples to be detected, and expanding the databases with the distinguishing results to improve the representativeness of the samples and the distinguishing capability. The method has the advantages that the technique is reliable, the operation is simple, a large quantity of samples can be treated in a short time, the dubious honey samples can be quickly screened out, the subjective factors and the personal errors can be avoided, and the conclusion can be scientific and reliable.

The invention discloses a permanent magnet synchronous motor multi-target parameter optimization method based on an entropy weight method. The method comprises the following steps: 1, establishing a permanent magnet synchronous motor vector control Simulink model based on model compensation active disturbance rejection; 2, performing multi-target layering on the permanent magnet synchronous motorvector control system model based on model compensation active disturbance rejection by using a comprehensive evaluation method, and establishing a corresponding evaluation index system; 3, aiming atmultiple indexes under the same performance, adopting an entropy weight method to objectively distribute the weight of each index, and aiming at the overshoot problem of the control system, adopting apenalty function to carry out unconstrained processing; and 4, selecting an optimization objective function, setting and optimizing model compensation parameters by using an NSGA-II algorithm based on non-dominated solution sorting, and performing multi-objective optimization on the response rapidity and stability of the permanent magnet synchronous motor vector control system simulation model based on model compensation active disturbance rejection. According to the design, multi-target parameter optimization is carried out by adopting an objective method, and the setting efficiency of the motor is effectively improved.

The invention discloses an information allocation method and device, a storage medium and electronic equipment, and relates to the technical field of data processing. The information allocation methodincludes: acquiring demand information of business personnel, and generating demand characteristics of the business personnel according to the demand information; acquiring customer information, andgenerating customer characteristics according to the customer information; and allocating the customer information, which corresponds to the customer characteristics, to the business personnel, who correspond to the demand characteristics, if the customer characteristics match the demand characteristics. The method can realize an effect of accurately allocating the customer information to the appropriate business personnel.

The invention discloses a modeling method of accelerated degradation information fusion based on uncertain data envelopment analysis. The method comprises the following steps of: 1, collecting all available degradation data obtained by the product ADT and perform data preprocessing; 2, performing accelerated degradation modeling to obtain a confident reliability distribution of a single data source; 3, evaluating the ADT data source and determine the evaluation index; 4, performing uncertain DEA modeling to determine the relative efficiency of each ADT data source; 5, assessing and predictingthe life and reliability of the product. Through the above steps, the multi-source ADT data can be fused to conduct comprehensive reliability evaluation of products, which can reduce the cognitive uncertainty and improve the reliability and life evaluation accuracy of products. In the field of current ADT reliability evaluation, the lack of overall product information recognition caused by small samples and the inadequate use of multi-source ADT data sources are solved.

The invention discloses a method and system for assessing tumor load change. The method can accurately and flexibly assess a tumor load and provide molecular biological characteristics of tumor cells. In the method, detection samples are free DNA samples at a plurality of time nodes, free DNA variation is detected, a molecular tumor load index is calculated according to the frequency of variation, and the change trends of the molecular tumor load index are compared at a plurality of time nodes so as to reflect the change trend of the tumor load.

The invention discloses a buried pipeline cathode protection method and system, relates to the technical field of buried pipeline protection, and aims at solving the problems that a method for conducting cathode protection on a buried pipeline according to the experience is low in accuracy, and standard operation procedures are lacked. The buried pipeline cathode protection method comprises the steps that the ground potential difference of an initial pipe and the ground potential differences from a first pipe to an nth pipe are obtained; the ground potential difference of a target pipe and a corresponding installation parameter vector are obtained; then, the ground potential difference of the target pipe and the allowed maximum pipe ground potential of the buried pipeline are compared, and when conditions are met, the obtained installation parameter vector corresponding to the ground potential difference of the target pipe is a target result; or otherwise, the number of anodic sacrifice protection devices and the number of forced drainage devices are adjusted till the conditions are met. The buried pipeline cathode protection method is used for optimal arrangement of buried pipeline cathode protection devices.

The invention relates to a detection method for specific antibodies IgM of mycoplasma pneumonia and influenza viruses based on a micro-fluidic chip and application of the detection method. The method is characterized by taking the micro-fluidic chip with a plurality of pipelines as a reaction platform and detecting by using a chemical luminescent signal so as to independently or simultaneously detect the serum specific antibodies IgM of mycoplasma pneumonia and influenza viruses. As the micro-fluidic chip is combined with chemiluminiscence, the detection method integrates the advantages of rapidness, high efficiency and small sample amount of the micro-fluidic chip and high specificity of chemiluminiscence, also has the advantages of simplicity in operation, low cost, rapidness and the like, is a multi-target, real-time and high-sensitivity detection method and can be applied to rapid diagnosis of pneumonia and influenza.

The invention relates to the technical field of rail transit and particularly relates to a rail transit vehicle health state analysis method and terminal based on big data. The method comprises stepsof A) an edge calculation terminal and a sensor on a rail transit vehicle are deployed, the real-time operation data of the rail transit vehicle are collected, and caching of the data is performed; B)the edge computing terminal preprocesses the data, associates the data with a time axis to form running state data, and extracts feature data; C) the edge computing terminal transmits the extracted feature data to a server through a communication module, the edge computing terminal judges whether the feature data is abnormal or not according to a preset judgment rule, and if yes, an alarm is given out; D) a fault model is established in the server; and E) the characteristic data is imported into the fault model in the server to obtain a health state of the rail transit vehicle. The method isadvantaged in that remote monitoring of the rail transit vehicle is realized, and reliability and accuracy of the rail transit vehicle are improved.

The invention relates to a method for constructing a complex organic macromolecular average molecular structure model and belongs to a method for constructing an organic macromolecular structure model. The method for constructing the complex organic macromolecular average molecular structure model by adopting an in-situ process comprises the following steps: (1) analyzing elements; (2) analyzing peak slit of an infrared spectrum; (3) performing thermal gas chromatography and mass spectrometry analysis; and (4) performing quantum chemistry calculation. According to the method, the construction for the complex organic macromolecular average molecular structure model, such as, coal, can be realized. The invention has the advantages that an in-situ structure presentation method is utilized to acquire the parameters and segments of a complex macromolecular structure; a comprehensive theoretical calculation method is adopted for constructing a complex macromolecular structure model; the infrared spectrum information acquired through theoretical calculation is compared with experimental spectrum information and the macromolecular structure model is constantly corrected, so that the constructed macromolecular structure is more objective and can reflect the true structure information of the macromolecular structure model; and the research on the property, utilization and conversion of the complex macromolecular material, such as, coal, can be benefited.

The embodiment of the invention discloses a knowledge graph mining method, device and equipment and a storage medium. The method comprises the following steps of generating each candidate entity representation pair according to a candidate feature set of an entity and / or each user dialogue corpus; determining the weight of each candidate entity characterization pair according to entity informationand characterization information included in each user dialogue corpus; and determining the key representation of the entity according to the weight of each candidate entity representation pair. According to the embodiment of the invention, the subjective influence factors when a worker determines the entity and the representation relationship are avoided, the labor experience cost for determining the entity and the representation relationship and the complex logical reasoning process are reduced, and the determination efficiency and the accuracy of effective representation under the entity are improved.

The invention discloses a control system for biochemical immunity detection equipment. The control system comprises a main controller with a micro processing function, a motion control card and a multi-serial-port card. The main controller comprises a calculation module, an optimization scheduling module and a control module. The biochemical immunity detection equipment is mainly composed of five sub function equipment modules, namely, a sample adding arm, a mechanical arm, an incubation oscillator, a plate washing machine and a detector. The working efficiency of the detection equipment is maximized by reasonably controlling coordinate work of the five sub function equipment modules, namely, the sample adding arm, the mechanical arm, the incubation oscillator, the plate washing machine and the detector by adoption of a scheduling control strategy. Therefore, the control system for biochemical immunity detection equipment has great application values in reducing detection waiting time of patients, avoiding subjective factors in the detection process and other aspects.

The invention discloses a method and system for hip joint prosthesis matching. The method comprises the steps of obtaining hip joint prosthesis data; collecting patient's image information according to a preset distance; collecting patient's basic physiological information; in the hip joint prosthesis data, searching hip joint prostheses matched with the image information and the basic physiological information; sorting the matched hip joint prostheses according to the matching degree. The whole process of the method and the system can be implemented automatically, subjective factors during the choosing of the hip joint prostheses are avoided, and thus hip joint prosthesis types and models can be determined accurately preoperatively.

The invention relates to a system and a method for automatically analyzing health thermal state based on an infrared medical image. The automatic analysis system comprises an infrared thermal imaging device, an information input module, a cloud storage module, an infrared image mapping module, a human body nine-system analysis module and an evaluation report generation module; a human body thermal state distribution image obtained by the infrared thermal imaging device and user health questionnaire information input by the information input module are transmitted to the cloud storage module; the cloud storage module sends the human body thermal state distribution image to the infrared image mapping module and sends the user health questionnaire information to the human body nine-system analysis module; a human body whole-body depth thermal source distribution condition obtained by the infrared image mapping module is sent to the human body nine-system analysis module; the human body nine-system analysis module sends obtained pathological results of various positions of the user to the evaluation report generation module; and the evaluation report generation module generates a whole body health evaluation report.

The embodiment of the invention discloses a centrum mechanical strength evaluation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring CT image data of a vertebral body; extracting a single segment of the vertebral body from the CT image data of the vertebral body as a to-be-evaluated vertebral body to carry out three-dimensional construction so as to obtain a three-dimensional structure of the to-be-evaluated vertebral body; carrying out discrete processing on the three-dimensional structure of the to-be-evaluated vertebral body to obtain a plurality of discrete unit bodies; adding discrete unit bodies used for representing splints to the upper surface and the lower surface of the to-be-evaluated vertebral body; carrying out material attribute description on the discrete unit bodies to endow the discrete unit bodies with corresponding bone mineral density, Young modulus and Poisson's ratio; applying boundary conditions and constraint conditions to the discrete unit bodies used for representing the clamping plates, and establishing a stress and strain relation equation set of the to-be-evaluated vertebral body according to the material attributes of the discrete unit bodies; and based on the stress and strain relation equation set of the to-be-evaluated cone, evaluating the to-be-evaluated cone under a preset load to obtain the mechanical strength of the to-be-evaluated cone.

The invention relates to a system and a method for automatically analyzing whole body health information based on an infrared medical image. The automatic analysis system comprises an infrared thermal imaging device, an information input module, a cloud storage module, an infrared image mapping module, a human body nine-system analysis module and an evaluation report generation module; a human body thermal state distribution image obtained by the infrared thermal imaging device and user health questionnaire information input by the information input module are transmitted to the cloud storage module; the cloud storage module sends the human body thermal state distribution image to the infrared image mapping module and sends the user health questionnaire information to the human body nine-system analysis module; a human body whole-body depth thermal source distribution condition obtained by the infrared image mapping module is sent to the human body nine-system analysis module; the human body nine-system analysis module sends obtained pathological results of various positions of the user to the evaluation report generation module; and the evaluation report generation module generates a whole body health evaluation report.

The invention relates to a breast health automatic analysis system and method based on infrared medical imaging. The automatic analysis system comprises infrared thermal imaging equipment, an information input module, a cloud memory module, an infrared image mapping module, a breast health information analysis module, a breast vessel typing module and an assessment report generating module; a human thermal state distribution image, obtained by the infrared thermal imaging equipment, and user health questionnaire information, inputted by the information input module, are transmitted to the cloud memory module; the human thermal state distribution image is transmitted to the infrared image mapping module, and the user health questionnaire information is transmitted to the breast health information analysis module; human whole-body thermal state distribution data, obtained by the infrared image mapping module, is transmitted to the breast health information analysis module and the breast vessel typing module; a human breast health state is obtained by the breast health information analysis module and the breast vessel typing module and is transmitted to the assessment report generating module; and a whole-body health assessment report is generated by the assessment report generating module.

The invention relates to an automatic bid evaluation method used for building material purchasing. The method comprises the following steps: determining bid evaluation dimensions of building materialpurchasing; using an analytic hierarchy process to obtain weights of all the bid evaluation dimensions; reading a parameter list of suppliers; calculating scores of all the bid evaluation dimensions of all the suppliers according to the parameter list; using the weights of all the bid evaluation dimensions and the scores of all the bid evaluation dimensions of the suppliers to carry out weighted calculation to obtain current bid scores of all the suppliers, and carrying out ranking according to the scores; and outputting a calculation result to obtain a final bid evaluation result. The methodensures fairness and impartiality of bid evaluation.

The invention relates to a lithium battery surface defect detection method based on a generative adversarial network, which is mainly used for detecting surface image defects of a soft package lithiumion battery. According to a lithium ion surface image acquired by a high-precision CMOS industrial camera, the lithium battery surface defect detection method utilizes a generative adversarial network to perform fitting on a normal surface of the lithium ion surface image. Aiming at the detection of various defects on the surface of the lithium ion battery, a pre-trained generator is used for reconstructing a test image, and difference operation is carried out by utilizing the reconstructed image and the test image to obtain a region of interest; and by binarizing the difference image and screening the size of a connected domain, the lithium battery surface defect detection method eliminates a false detection area. Through the lithium battery surface defect detection method, the defect area on the surface of the lithium ion battery can be accurately judged, and defect detection is realized.

The present invention discloses a method for fast switching from process and performance requirements to a design parameter of an injection molding equipment. The method comprises: establishing a three-dimension model for each injection molding part that needs to be processed and performing numerical simulation analysis to obtain a process requirement of injection molding equipment; and by collecting the process requirement or a performance requirement of the injection molding equipment, establishing an injection molding requirement and design parameter set, representing an interactive relationship between injection molding requirements and design parameters by a multicolor set, performing line changing ordering on a Putosel matrix, and prioritizing the injection molding requirement and design parameter set and performing parameter calculation to obtain a result of the design parameter of the injection molding equipment. According to the method for fast switching from process and performance requirements to the design parameter of the injection molding equipment disclosed by the present invention, conversion analysis on the injection molding requirements of the injection molding equipment is implemented, the problem that a rational customized design cannot be carried out according to the injection molding requirement in the conventional injection molding equipment design is solved.

The invention relates to an environment evaluation method of stone coal vanadium-extracting solid waste. The environment evaluation method comprises the evaluation steps of step 1, determination of water content of the stone coal vanadium-extracting solid waste and analysis of average particle diameter of the stone coal vanadium-extracting solid waste; step 2, survey of annual average wind speed u of a stone coal vanadium-extracting solid waste storage yard and area S of the stone coal vanadium-extracting solid waste storage yard; step 3, calculation of dusting amount Qp of the stone coal vanadium-extracting solid waste; step 4, forecast of dust concentration in a downwind direction by adopting an atmosphere Screen 3 estimation mode; step 5, leaching toxicity analysis; step 6, evaluation index selection; and step 7, fuzzy comprehensive evaluation. The environment evaluation method disclosed by the invention has the characteristics of simpleness and convenience in operation and high efficiency, not only can pollution degree of the stone coal vanadium-extracting solid waste on environment be quantitatively analyzed, but also the influence of stone coal vanadium-extracting solid waste storage environment on atmosphere and water body can be objectively and accurately analyzed, and reliable basis is provided for treating the stone coal vanadium-extracting solid waste.

The invention relates to an inspection and calibration device and method for a monocoil vibrating wire instrument. The device comprises a monocoil vibrating wire instrument physical quantity electric generation table, a monocoil vibrating wire instrument signal collecting and processing circuit and an upper computer; the monocoil vibrating wire instrument physical quantity electric generation table comprises a controller and a servo mechanism which are connected with each other, and the servo mechanism is connected with the induction end of the monocoil vibrating wire instrument; the monocoil vibrating wire instrument signal collecting and processing circuit comprises an vibration exciting circuit, a vibration picking circuit, a vibration exciting and vibration picking switching circuit and a master control MCU, the vibration exciting circuit, the vibration picking circuit and the vibration exciting and vibration picking switching circuit are all connected with the master control MCU, the vibration exciting and vibration picking switching circuit is connected with the vibration exciting circuit and the vibration picking circuit, the outgoing cable of the monocoil vibrating wire instrument is connected with the vibration exciting and vibration picking switching circuit, and the upper computer is connected with the controller and the master control MCU. The inspection and calibration device for the monocoil vibrating wire instrument has the advantages of achieving the automation of the inspection and calibration process, and improving the efficiency of the inspection and calibration.

The invention discloses a method and a device for evaluating interface performance of a composite insulator core rod sheath. The composite insulator core rod sheath interface performance evaluation method is convenient to use, only the original picture containing the composite insulator core rod is taken to perform image processing, the defect rate of the interface image can be obtained as an evaluation index of the interface performance of the composite insulator core rod sheath, there is no need to rely on complex device devices and step processes like a water diffusion test or a cohesive force test, meanwhile, since the image defect rate is calculated by image recognition, the evaluation index avoids subjective factors, and because the image defect rate is a continuous evaluation indexrather than a graded evaluation index, the evaluation result has high evaluation result and solves the technical problem that the equipment and the operation process required by the current compositeinsulator interface performance evaluation method are complex, the subjectivity is high during manual evaluation, the evaluation index is discrete, and the evaluation result is low in sensitivity.

The invention relates to a CT system geometric correction effect verification method and device. The method includes the steps that a preset assessment motif is scanned to obtain a projection image of the assessment motif; a three-dimensional image of the assessment motif is reconstructed according to geometric correction parameters and the projection image of the assessment motif; an image to be processed is segmented from the three-dimensional image, and the edge of a circle in the image to be processed is detected; the number of points in the circle, the sum of CT values of the points in the circle, the number of points outside the circle and the sum of CT values of the points outside the circle in the image to be processed are counted; the CT average value of the points in the circle, the CT average value of the points outside the circle and absolute values of the CT average value of the points in the circle and the CT average value of the points outside the circle are calculated to serve as assessment indexes; assessment indexes corresponding to the geometric correction parameters are compared to conclude whether the geometric correction effects of the geometric correction parameters are good. The method and device can improve accuracy of the geometric correction effect of CT images.

The invention provides a visual angle measuring method of a liquid crystal display device, comprising: placing a test piece on an optical measuring bench, and allowing the center of the test piece tocoincide with a measuring center of the optical measuring bench; acquiring, in a preset angle range, XY chromatic values of multiple measuring points of a displayed picture of the test piece at different view angles; calculating NTSC value of each measuring point according to the acquired XY chromatic values; using a view angle corresponding to the measuring point having the NTSC value of 1 as a visual angle boundary value of the test piece. The method provided herein allows the visual angle of the liquid crystal display device to be objectively measured, so that subject influencing factors from manual measurement are avoided.

The embodiment of the invention discloses an operation risk and credit risk evaluation method and device and a computer storage medium, which are used for improving the efficiency of operation risk and credit risk evaluation and improving the accuracy of a risk evaluation result. The method comprises the steps that a risk evaluation device constructs an operation risk scoring model and a credit risk scoring model according to a tax data sample, calculates an operation risk score by using the operation risk scoring model, and calculates a credit risk score according to the credit risk scoring model, and processing the financing request of the financing requester according to the operation risk score and the credit risk score, so that the evaluation of the operation risk and the credit risk does not need to rely on manual field investigation, and compared with manual offline deep investigation and analysis for determining the operation risk and the credit risk, the evaluation of the operation risk and the credit risk is more accurate. The working efficiency of risk evaluation can be improved. Meanwhile, the risk evaluation is prevented from being doped with human subjective factors, and the accuracy of a risk evaluation result can be improved.