63results about How to "Accurate reference" patented technology

The invention provides an automatic driving method and an automatic driving system. A corresponding relation among vehicle body parameters of the motor vehicle, a vehicle speed and an optimum turning angle of the motor vehicle are acquired firstly; a driving state of the motor vehicle is adjusted to be an ideal state when optimum maneuvering strategies are lane switching, overtaking and turning driving maneuvering operation; the speed of the motor vehicle and a distance of front and back wheel shafts are acquired; contrast between the speed of the motor vehicle and the corresponding relation is carried out to acquire an optimum turning angle of the motor vehicle; a turning radius of the motor vehicle is acquired according to the optimum turning angle of the motor vehicle and the distance of the front and back wheel shafts; and a lane switching path locus of the motor vehicle can be planned according to the optimum turning angle and the turning radius of the motor vehicle. Through the method and the system, the lane switching path locus of the motor vehicle under an automatic driving state can be planned according to the optimum maneuvering strategies, and most accurate reference basis is provided for automatic driving of the motor vehicle.

The invention provides a testing method of the thermal runaway characteristic of a battery. The testing method of the thermal runaway characteristic of the battery comprises the steps of selecting a simulant, placing the simulant inside a calorimeter, calibrating the calorimeter, obtaining calibrating data, taking out the simulant after calibrating is carried out, placing a battery sample to be tested into the calorimeter, and testing the thermal runaway characteristic of the battery sample to be tested by the utilization of the calibrating data.

The invention discloses application of a detection reagent for detecting methylation of genes related to colorectal cancer and a kit, and relates to the technical field of gene detection. The kit comprises the detection reagent used for detecting methylation of the genes related to colorectal cancer, conducts methylation detection on specific areas in the genes SDC2 and TFPI2, takes the methylation detection result of the areas as a basis for auxiliary colorectal cancer diagnosis, is higher in sensitivity and specificity and provides a more accurate and reliable reference basis for early screening, diagnosis and the like for colorectal cancer or colorectal adenoma.

The invention discloses a delta sand body internal structure analysis method based on overlapped lobes. The method includes the following steps that firstly, data are collected; secondly, a top interface and a bottom interface of a layer are determined; thirdly, the interface characteristics of the lobes are determined by analyzing the lithological and electrical characteristics of lobe boundaries, and the lobe boundaries are determined; fourthly, reservoir internal structure characteristics are recognized through bottom leveling, and the mutual relation between the lobes is preliminarily analyzed; fifthly, based on recognition of the lobes, the lobes are divided into a composite lobe level and a single lobe level, the corresponding relation between the lobes is analyzed, the relation between the lobes is determined, comparison analysis is conducted on the distribution characteristics of the lobes on a section, and interwell distribution of the lobes is determined; sixthly, the plane distribution range and the distribution shape of the lobes are determined; seventhly, the reservoir structure is verified. By the adoption of the method, a delta sand body internal structure is accurately described, reliability and practicality are high, a new thought is provided for understanding of anisotropy of reservoirs, and the method can be widely applied to the technical field of exploitation and development of oil and gas.

The invention discloses an overhead-power-transmission-line sag online monitoring method based on a UWB ranging technology. The method includes the following steps: step1: selecting a position to install a UWB ranging device; step2. the UWB device performing ranging; step3. processing measured data and performing sag calculation. The method has the advantages of being high in measurement precision and great in reliability.

The embodiment of the invention discloses an earthquake short-term prediction method and device, which aim to solve the problem that since most of the short-term predictions in the prior art are basedon empirical predictions and lack complete scientific basis, the earthquake trend is mainly emphasized, there is a lack of numerical quantitative prediction of three elements of the earthquake, and furthermore, accurate prediction of the occurrence of the earthquake in a short period of time is difficult to realize, and accurate reference suggestions cannot be provided for earthquake disaster reduction work in time. According to the method, a large amount of historical earthquake record data is utilized, geological structure characteristics are combined and analyzed, and the data mining and machine learning methods are comprehensively applied from two dimensions of time and space, so that the earthquake of the region and the region with earthquake space-time correlation relation within the next month is predicted, and therefore reference is provided for earthquake disaster reduction work of each region.

Belonging to the technical field of macromolecule orientation measurement, the invention in particular relates to a macromolecule intralayer shear orientation measurement method based on an interdigital electrode. The method includes the steps of: S1 clinging a pair of interdigital electrode probes to a to-be-measured material surface; S2 setting the interdigital electrode probing depth, and testing the capacitance signal values Cxlambda i and Cylambda I of the to-be-measured material at different depth positions; S3 constructuing a dielectric constant calculation parameter equation set respectively, and performing solution to obtain the dielectric constant values epsilon xlambda i and epsilon ylambda i in two directions of each thickness layer in the to-be-measured material; S4 calculating the orientation value delta epsilon lambda i=epsilon xlambda i-epsilon ylambda i of the to-be-measured material at each depth layer relative to a to-be-measured material coordinate system and the orientation direction theta lambda i shown as the specification, thus finishing macromolecule intralayer shear orientation measurement. The method provided by the invention has no need for slicing and sample making, avoids the interference of human factors on the final orientation measurement result during sample making, improves the measurement result accuracy, saves test time, reduces the test cost, and is particularly suitable for measurement of macromolecule intralayer shear orientation.

The invention discloses a load frequency determination method for a torsional impact fatigue test of an electric automobile differential, relating to the technical field of electric vehicles. The method comprises the steps of obtaining a dangerous cross section as a strain test point by analyzing the stress of a key part, converting an S-N curve into a torque-fatigue life curve through a relationbetween actually measured strain and torque, determining an amplitude range of a test load, testing and loading strain under loads with the same frequency and different amplitudes, and performing statistical analysis on strain data, wherein an analysis result shows that the strain is basically linearly changed along with the loading amplitude; and selecting m test amplitudes in the amplitude rangeof the test load, obtaining fatigue life values corresponding to the m test amplitudes according to the torque-fatigue life curve, and establishing an equation set to solve the loading frequency corresponding to each loading amplitude. According to the invention, the technical problem of how to objectively determine the test load plus carrier frequency for the torsional impact fatigue test of theelectric automobile differential is solved.

The invention relates to a PET image reconstruction method and device, and computer equipment. The PET image reconstruction method comprises the steps: obtaining PET scanning data of a scanning object; planning at least one region of interest on the scanning object; acquiring PET sub-scanning data corresponding to the region of interest from the PET scanning data; and reconstructing a PET image according to the PET sub-scanning data. Regions of interest by planning regions of interest, acquiring PET sub-scanning data of a region of interest from the PET scanning data of the full-axial visual field; the PET sub-scanning data is reconstructed independently, the stored PET data can be reduced, the time for reconstructing the PET image is further shortened, and the reconstructed PET image canprovide an accurate reference basis for doctors.

The invention relates to the technical field of water resource monitoring, in particular to a surface water monitoring management system, which comprises: an acquisition unit for acquiring a water body image of the surface water surface in real time; the filtering unit that is used for filtering the water body image; the storage unit that is used for storing the filtered water body image; the training unit that is used for obtaining a neural network model; the processing unit that is used for carrying out floater identification and color identification on the filtered water body image, judgingwhether the water body is abnormal or not and marking an abnormal area in the water body image when the water body is abnormal; and the display unit that is used for displaying the marked area on thevisual interface. Floating object and color identification is performed on the water sample image in combination with the neural network, the abnormal area is marked and displayed in a visual mode, and the technical problem that in the prior art, obvious changes of water surface floating objects, water body colors and the like are ignored, so that early warning cannot be performed in time when the water quality changes is solved.

The invention provides an anti-decomposable corrosion hydraulic concrete mixed proportion design method comprising the steps: firstly, determining significant affecting factors on concrete anti-decomposable corrosion by an orthogonal test method, and analyzing and selecting various factors by combining concrete grade, durability and other design requirements; and then carrying out concrete strength curve test, combining with the strength curve test result, and concrete grade, durability and other design requirements and the concrete anti-decomposable corrosion test result, and calculating themixed proportion parameters of reference concrete by an absolute volume method. On the basis of guaranteeing the basic performance parameters of concrete, the effect of various factors on the concreteanti-decomposable corrosion ability is investigated by decomposed erosion tests, the step of improving the concrete anti-decomposable corrosion ability is introduced to the mixed proportion design, the problems existing in a decomposed erosion environment are solved, the anti-decomposable corrosion ability is enhanced, the durability of the concrete is enhanced, and the service life of buildingsis prolonged.

The invention provides a multi-time scale electricity trade decision-making method and system in an electric power company. The method comprises the steps that historical data is acquired, and the longest time scale of a competitive price transaction participated by the electric power company is determined; according to the historical data, traditional load electricity consumption is predicated toobtain first electricity consumption predicated data, and non-traditional load / equipment electricity consumption is predicated to obtain second electricity consumption predicated data; according to the first electricity consumption predicated data and the second electricity consumption predicated data, a long time scale competitive price transaction of the longest time scale is participated, andit is judged whether or not participating in the non-long time scale competitive price transaction is needed to obtain an electricity consumption trade decision. Based on the scale load electricity consumption requirements at different time, the method and system consider electricity requirements of non-traditional power supplies and loads and provide accurate references for different time scale electricity purchasing transactions participated by the electric power company under the condition of a new shape power distribution network.

The embodiment of the invention discloses an insect pest prediction method and device, equipment and a storage medium. According to the technical scheme provided by the embodiment of the invention, the insect pest prediction time and the insect pest prediction amount in the set prediction period are predicted by using the first prediction model according to the weather forecast data in the set prediction period, according to the predicted insect pest prediction amount, the insect pest membrane position information in the set prediction period is predicted by using a second prediction model, an insect pest prediction result is output based on the predicted insect pest prediction time and insect pest membrane position information, and the insect pest prediction time and insect pest membrane position information are accurately predicted through weather forecast data, so that a more accurate reference basis is provided for insect pest prevention and control of crops, and the situation that the pest prediction effect is not ideal due to subjective differences of different workers is reduced.

The invention discloses a method for evaluating the efficiency of a power distribution network based on boundary power supply capability, and the method comprises the following steps: defining the power supply capability of one working point on a safety boundary as the boundary power supply capability, and obtaining a plurality of boundary working points which can completely describe the safety boundary for the power distribution network with the given network structure and network parameters; calculating the boundary power supply capability of all boundary working points, and obtaining the boundary power supply capability distribution; carrying out the ordering according to the size of the boundary power supply capability, obtaining an ordering curve, carrying out the further statistics to obtain the ratio graph of the boundary power supply capability; finally calculating a boundary power supply capability index, so as to comprehensively reflect the efficiency of the power distribution efficiency. According to the invention, the method achieves the calculation of the distribution of the boundary power supply capability through a safety boundary of a DSSR (distribution system safety region), and achieves the complete and comprehensive evaluation of the efficiency of the power distribution network.

The invention discloses a method and device for evaluating the navigation ability of a functional page. The method includes: determining a content page having a page view greater than a preset value as a valid content page in a website; acquiring the sum of page views of valid content page; determining the proportion of the page views due to conversion of the search engines into the valid contentpage in the sum of page view; and evaluating the navigation ability of a functional page of the website according to the proportion of the page views due to conversion of the search engines into the valid content page in the sum of page view. The method and device can determine the quality of the functional page by evaluating the navigation ability of the functional page, and can provide effectivereference information for a website owner.

The invention provides a testing method of the thermal runaway characteristic of a battery. The testing method of the thermal runaway characteristic of the battery comprises the steps of selecting a simulant, placing the simulant inside a calorimeter, calibrating the calorimeter, obtaining calibrating data, taking out the simulant after calibrating is carried out, placing a battery sample to be tested into the calorimeter, and testing the thermal runaway characteristic of the battery sample to be tested by the utilization of the calibrating data.

The invention provides a college entrance examination volunteer accurate measurement method based on big data and artificial intelligence. The method comprises the steps: selecting a school-based application mode or a professional-based application mode, and inputting the personal information of students; When an application mode mainly based on a school is adopted, the score of the student is adjusted to be a correction score equivalent to the last year, the admission score line of the last year of the school is corrected to obtain a school correction admission score line, the school correction admission score line and the school correction admission score line are subtracted to obtain a first score difference, and the school with the first score difference within a certain range is screened for the student to select; When a profession-oriented application mode is adopted, the score of the student is adjusted to be a correction score equivalent to the last year, the admission score line of the last year of the willingness specialty is subtracted to obtain a second score difference, and the willingness specialty with the second score difference within a certain range is screened for the student to select. The invention also provides a college entrance examination volunteer accurate measurement system based on big data and artificial intelligence, the system is compatible with the application modes under new and old college entrance examination policies, and a relatively accurate application basis is provided.

The invention discloses a network traffic prediction method and device and a computer readable storage medium, and relates to the field of data communication. The network traffic prediction method comprises the following steps: acquiring a related link of a to-be-detected link, wherein the related link is a link of which the traffic correlation with the to-be-detected link is greater than a preset degree in a network; generating a historical traffic sequence according to the traffic of the link to be measured and the related links thereof at one or more historical moments; and inputting the historical traffic sequence into a pre-trained prediction model to obtain the traffic, output by the prediction model, of the to-be-measured link at the future moment. According to the embodiment of the invention, the traffic prediction can be carried out according to the historical traffic data of the associated link, so that the predicted network traffic is more accurate. Therefore, a more accurate reference basis can be provided for network planning, network optimization and network configuration.

The invention discloses a Ti / CFRP laminated plate structure impact process numerical simulation method. The method comprises the following steps: constructing a VUMAT subprogram of a composite material based on the stress-strain relation of the composite material, a three-dimensional Hashin failure criterion and a Tan degradation criterion; constructing a finite element mesh model of the Ti / CFRP laminated plate structure and the hemispherical punch; constructing a material failure model of a titanium alloy plate and an adhesive layer in the Ti / CFRP laminated plate grid model; constructing an initial condition of the impact load; constructing boundary conditions of the Ti / CFRP laminated plate grid model; and combining the constructed VUMAT subprogram with the constructed model and conditions by utilizing ABAQUS to obtain a numerical analysis model of the Ti / CFRP laminated plate structure under the impact load, and solving to obtain the contact force of the laminated plate structure andthe damage failure area of the composite material. According to the invention, the damage failure of the Ti / CFRP laminated plate structure in which forms and the corresponding failure area under the impact load can be simulated, and a more accurate reference basis is provided for the structural design of the Ti / CFRP laminated plate.

The invention relates to an equipment appearance image brightness adjustment method and device, and the method comprises the steps: substituting an original pixel value of an equipment appearance image into a self-adaptive brightness adjustment algorithm after the equipment appearance image is obtained, and finally enabling a processing result of the self-adaptive brightness adjustment algorithm to serve as the equipment appearance image for recycling appearance evaluation. Based on this, the tedious process and limitation of adjusting the image brightness by using an experience threshold areavoided. The appearance image of which the brightness is adjusted through the adaptive brightness adjustment algorithm can show the problems existing in the appearance of the equipment more hierarchically, so that more accurate reference is provided for equipment recovery valuation, and the success rate of equipment recovery is improved.

Embodiments of the invention provide a transaction robot financial data risk determination method and device, and relates to the technical field of finance. The method comprises the following steps of: calculating a plurality of pieces of average data, time lengths of which are different, of a stock according to an updated two-dimensional k line chart of the stock on a financial data website; andmatching each piece of average data in the plurality of pieces of average data with preset user long / medium / short-line stock investment habit data so as to determine a corresponding risk condition. According to the updated two-dimensional k line chart of the stock on the financial data website, the plurality of pieces of average data, the time lengths of which are different, of the stock can be calculated, and each piece of average data in the plurality of pieces of average data is matched with the preset user long / medium / short-line stock investment habit data so as to determine the corresponding risk condition, so that users can conveniently and intuitionally know the risk condition corresponding to each holding time length of the stock, and then more correct reference basis is provided for the judgement of the users.

The invention discloses a display panel testing device and system, and the device comprises a pedestal and a testing assembly, and the pedestal is used for being fixedly connected with at least part of a display panel; the test assembly comprises a rotatable plate and a drawing device. The rotatable plate is rotatably connected with the base so as to bend a to-be-tested area of the display panel to a preset angle; the drawing device is arranged on the rotatable plate and used for fixing a to-be-tested area of the display panel and providing tension for the to-be-tested area so as to carry outa drawing test when the to-be-tested area is bent to a preset angle. By means of the mode, the drawing force borne by the display panel in the bending process can be simulated, and the accuracy of drawing test data is improved.

The invention discloses an intelligent input and output quantity recorder and a recording method. The recorder comprises a weighing window, a disinfection device and a recording system, the disinfection device is fixedly arranged on the weighing window; and the weighing window is in communication connection with the recording system. The intelligent input and output quantity recorder adopts an in-out quantity and in quantity integrated division design. The output recording window and the input recording window are located at the same position, the windows are opened according to the weighing requirement, meanwhile, the automatic disinfectant spraying window is further arranged, a weigher can conveniently complete output and input weighing, the psychological requirement for respective output and input weighing is met, and meanwhile cross infection of hospitals is prevented. The working efficiency is improved, the time of clinical medical staff is saved, and manpower and material resources are saved. Meanwhile, a more convenient and scientific reference basis is provided for clinical medical staff to make decisions, a more scientific liquid balance evaluation and analysis scheme is provided, and a more real-time and accurate reference basis is provided for medical staff to evaluate and diagnose the illness state and make decisions on a treatment scheme.

The invention relates to the technical field of image processing, in particular to a door and window welding control method and system based on artificial intelligence. According to the method, a shadow spliced image with a plurality of shadow areas is obtained by arranging three cameras which are different in view angle and provided with light sources. A plurality of section shadow distribution diagrams according to the distribution of the cameras and the distribution of the material shadow areas, curvature triangles representing the morphological characteristics of the weld edge are obtained according to the distribution information of the shadow segmentation points, and the roughness of the weld edge is obtained according to the difference of the curvature triangles of all the section shadow distribution diagrams. The depth of the welding seam through the area proportion of the shadow region of the welding seam with the deepest color. The welding seam quality is judged according to the edge roughness of the welding seam and the depth of the welding seam, the adjusting direction when the quality requirement is not met is obtained, and the welding pressure is controlled and adjusted. The morphological characteristics of the welding seam are obtained through the shadow information of the welding seam, the welding seam quality is rapidly and accurately judged, and reference is provided for welding control.

Disclosed is an auxiliary cutting and alignment system including workbench and controller, a sewing machine is arranged on the table top of the workbench, a bracket is vertically fixed on the workbench, the bracket is provided with a mounting cross beam higher than the workbench and the sewing machine, the mounting cross beam is respectively provided with a fixed light spot generator and a movinglight spot generator for moving horizontally on the mounting cross beam according to requirements, and an information reading device is also arranged on the workbench. The information reading device reads the label information on the slice to be cut and transmits the slice information to the controller. Both the fixed spot generator and the moving spot generator produce the cross red spot on the workbench. The controller searches the size data of the slice to be cut from the database, compares the size data with the reference size L to obtain the difference Delta L, and controls the moving spot generator to move horizontally according to the difference Delta L so that the horizontal distance between the two mutually independent cross red spots is L + Delta L.

A generation method of a power generation scheme for preventing sustained damage of a hydropower station group includes the steps of 1, determining an optimization target and constraint conditions and establishing a statin optimizing and scheduling module; 2, considering uncertainty of hydrological forecasting and conversion of forecasting runoff; 3, calculating potential output of each phase; 4, determining a pattern of power generation constraint rules; 5, acquiring optimized power generation constraint rules and a power generation scheme set by means of an optimization algorithm; and 6, establishing an evaluation index system to evaluate optimal scheduling results. The generation method has the advantages that sustainability of the power generation process is ensured, a minimum of damage is ensured, and the simple and universal power generation constraint scheduling rules are provided to guide optimization of hydropower stations; the influence of hydrological forecasting errors upon scheduling results is fully considered, the power generation constraint scheduling rules are optimized by means of forms of energy, and more accurate decision basis is provided for decision makers.

The embodiment of the present invention discloses a short-term earthquake prediction method and device to solve the problem in the existing technology that most short-term predictions are based on empirical predictions and lack a complete scientific basis. They mainly focus on the seismic trend of earthquakes and lack the three elements of earthquakes. Numerical quantitative prediction makes it difficult to accurately predict the occurrence of earthquakes in the short term, which leads to the problem of being unable to provide timely and accurate reference suggestions for earthquake disaster reduction work. This method uses a large amount of historical earthquake record data, combined with the analysis of geological structure characteristics, and comprehensively uses data mining and machine learning methods from the two dimensions of time and space to predict the region and its earthquake-related spatio-temporal correlation in the next month. Predict earthquakes within the region, thereby providing a reference for earthquake disaster reduction work in various regions.

The present invention relates to the technical field of water resource monitoring, in particular to a surface water monitoring and management system, comprising: a collection unit for collecting water body images of surface water surfaces in real time; a filtering unit for filtering water body images; a storage unit, It is used to store the filtered water body image; the training unit is used to obtain the neural network model; the processing unit is used to perform floating object recognition and color recognition on the filtered water body image, judge whether the water body is abnormal, and correct the water body when the water body is abnormal. The abnormal area in the water body image is marked; the display unit is used to display the marked area on the visual interface. The invention combines the neural network to identify the floating objects and colors of the water sample image, marks the abnormal area, and displays it in a visual way, which solves the problem that the existing technology ignores the obvious changes in the floating objects on the water surface and the color of the water body, so that the water quality cannot be improved. It is a technical problem of timely early warning when changes occur.