153results about How to "Simplify the evaluation process" patented technology

The invention discloses a volcanic material-enriched source rock organic carbon recovery method. The recovery method comprises the following steps: selecting a sample; determining content Z of volcanic materials in source rock; implementing source rock residual organic carbon analysis and kerogen treatment; dividing volcanic material-enriched source rock organic matter types through an element analysis method; calculating an organic carbon recovery coefficient Kc by combining numerical simulation with experiment; fitting related functions Kc=f(Z) of Kc and volcanic material content Z. The method disclosed by the invention, by recovering residual organic carbon of source rocks differing in volcanic material content, can greatly improve precision of recovering source rock organic carbon; meanwhile, on the basis of researching a research area test data recovery method, the reliability of resource quantity evaluation is improved; the technology fills the blank of volcanic materials in a complex sedimentary structure environment on organic matter abundance recovery, and enriches source rock evaluation theory; according to results, progress of next resource evaluation is greatly promoted.

The invention relates to a shallow groove isolation formation method. The method comprises the following steps: a semiconductor substrate with a groove is provided; pad oxide layers are formed on the bottom part and the side wall of the groove, and in situ annealing is performed; insulation substance is filled into the groove. The shallow groove isolation formation method of the invention can reduce the transmission frequency of the substrate, reduce the pollution, ensures the process to be simplified, and reduces the cost.

The invention discloses a post-evaluation method of the construction effect of a power distribution network project, based on a BP neural network. The post-evaluation method includes the steps: S1, establishing an evaluation index system; S2, acquiring base index data and preprocessing; S3, through scoring of experts, obtaining the target scores corresponding to Ntrain training samples; S4, determining the network layer number; S5, determining the network node number; S6, determining a transfer function; S7, selecting a training method; S8, establishing a BP artificial neural network post-evaluation model; S9, setting a training parameter, and training; S10, judging the training effect; S11, inspecting the trained BP artificial neural network post-evaluation model; and S12, observing the fitting effect. The established BP artificial neural network post-evaluation model of the post-evaluation method of the construction effect of a power distribution network project, based on a BP neural network can fully absorb the determination experience of experts so as to save the step of weight determining and scoring, so that the evaluation becomes more concise and clear.

The invention discloses a method for calculating architectural energy saving rate based on a human body thermal adaptive model. The method comprises the following steps of: obtaining annual outdoor meteorological data of a building proposed site; calculating the mean natural room temperature of a building; drawing a thermal neutral temperature curve according to the thermal adaptive model; calculating a standard energy consumption; calculating an architectural energy consumption; calculating an architectural energy saving rate; establishing a standard model; calculating the energy saving rate of the standard model; judging the architectural energy saving rate; adjusting architectural parameters. According to the method, the shortcomings that the indoor comfortable temperature related to current architectural energy saving design standards in China is based on a PMV steady-state model and the energy saving rate of the building is not perfectly improved through the narrow comfortable area of the model according to the building design are overcome; meanwhile, the shortcoming that the number of energy saving goals achieved through the building design and the number of the energy saving goals achieved through equipment of one building cannot be accurately determined is overcome; the method is suitable for guiding the thermal performance design of the buildings and enclosure structures.

The invention belongs to the field of biological pharmacy. The invention provides a recombinant vaccine, comprising a SPV and one pharmaceutically acceptable vector and/or adjuvant or a plurality of such vectors and/or adjuvants. The SPV comprises an SPV vector and the encoding genes of SzP. The recombinant SPV vaccine provided in the invention can proliferate in large quantities in immune animalbodies, express target protein SzP and induce the generation of high titer antibodies in animal bodies, and exerts a good protective effect on immune animals.

A motor control characteristic evaluation device includes: an evaluation index selection unit which selects any one of evaluation indexes in a motor control system control characteristics and outputs selection information indicating the selected evaluation index; a correlated data extraction unit which extracts data correlated with the selected evaluation index from the motor control system data group according to the selected information; an evaluation value calculation unit which calculates an evaluation value of the evaluation index according to the extracted data; and a display control unit which displays the calculated evaluation value on a display.

The invention discloses a non-destructive evaluation method for nonlinear characteristic parameters of a hydro-pneumatic suspension, comprising the following steps of: based on the establishment of a bench test for the hydro-pneumatic suspension, representing the nonlinear characteristic curve of the hydro-pneumatic suspension by using a small number of discrete points, wherein the values of the other points on the characteristic curve can be obtained by interpolation of these discrete points, so as to represent that the discrete points on the characteristic curve are optimized variables; by taking the squariance of the difference value between calculated power output and tested power output under various moments as a cost function, searching and evaluating based on an optimized method, so that two characteristic curves can be reversely derived integrally through one test. The non-destructive evaluation method has a simple principle, is convenient to operate during the process of testing, strong in practicability, can effectively provide system parameters for designing a hydro-pneumatic suspension system in real time; in particular, the change of the characteristic parameters and the service performance of an in-service hydro-pneumatic suspension system after being manufactured can be evaluated, thereby having good application prospect.

The system includes testing management module set at client end computer, load generation module and SMTP mail receiving process module. The testing management module controls full testing procedure, taking charges of setting test parameters, sending testing commands to load generation module and SMTP mail receiving process module, and collecting tested data from the said two modules and outputting tested data after statistical treatment. Load generation module creates communication flows of SMTP and POP3, transfers SMTP message to mail server and fetches mail of local mailbox from mail server under control of testing management module. SMTP mail receiving process module simulates SMTP service. Linux multi-threads programming technique, communication technique between processes and networking programming technique are adopted in the invention.

The invention discloses a signal to noise ratio evaluation device and a signal to noise ratio evaluation method for a rubidium atomic frequency standard, and belongs to the field of atomic frequency standards. The device comprises a first analogue-to-digital sampling unit, a second analogue-to-digital sampling unit and a master control unit. The method comprises the following steps of: drawing an absorption curve according to a corresponding relationship between a frequency discrimination signal and a voltage point of first sweep voltage; drawing a frequency discrimination curve according to a corresponding relationship between a voltage control signal and a voltage point of second sweep voltage; calculating an absorption factor according to the absorption curve; calculating a line width according to the frequency discrimination curve; acquiring a preset modulation depth; and calculating the signal to noise ratio of the rubidium atomic frequency standard by using the absorption factor, the line width and the modulation depth. By the device and the method, the accuracy of the signal to noise ratio of the rubidium atomic frequency standard is improved.

The invention provides a method for evaluating the brittle damage of an electrode slice of a lithium ion battery. The electrode slice comprises a current collector and an electrode material attached to the current collector, wherein the method for evaluating the brittle damage of the electrode slice of the lithium ion battery comprises the following steps: coiling the electrode slice into an electrode coil; squeezing the electrode coil along the radial direction of the electrode coil; and then, expanding the electrode coil, and evaluating the degree of the brittle damage of the electrode slice according to the conditions of cracking of the current collector and/or falling of the electrode material at the bent part of the electrode slice. The method for evaluating the brittle damage of the electrode slice of the lithium ion battery is simple, easy, accurate and reliable, and can guide and optimize the formulation for synthesizing the electrode material, the parameters of the process for coiling the electrode slice and the like according to the degree of the brittle damage of the electrode slice.

The disclosed lighting environment evaluation method involves: a step in which a prescribed surface is designated in a lighting space to be evaluated; a step in which a designated observation point on the aforementioned prescribed surface is designated; and a step in which, on the basis of information relating to reflective objects that reflect the light in the aforementioned lighting space and information relating to the lighting equipment provided in the aforementioned lighting space, the illuminance at the aforementioned designated observation point from only the indirect light from the aforementioned reflective objects is calculated, and the calculation result is set as the index of brightness sensation of the aforementioned lighting space.

A data structure for use by a computer system (5) for processing medical image data and representing at least one first region of a patient (8) including at least one computer-detected feature of interest is disclosed. The data structure comprises a first computer code that is executable to detect first data representing at least one second region included within a respective first region. At least one said feature of interest in said second region has a significant likelihood of representing a computer-detected false positive. The second computer code is executable to provide second data for enabling at least one said first region to be displayed on a display device, such that at least one said second region is displayed on the display apparatus differently from part of said first region not containing features of interest having a significant likelihood of representing computer-detected false positives.

The invention discloses a transformer bushing evaluation method, which fuses a plurality of indexes reflecting the state of a transformer bushing, comprehensively and comprehensively reflects the state of the bushing based on a fuzzy theory and a neural network algorithm, and introduces a variable weight and the neural network algorithm on the basis of fuzzy comprehensive evaluation. According tothe fuzzy control method, the limitation of conventional weight and the subjectivity of artificially determining the membership function are overcome, and the self-updating and self-adaption of the membership function are realized through neural network training, so that the fuzzy control has certain self-learning capability, and the evaluation result is more reliable.

An object of the present invention is to provide a quality inspection method for a chemical liquid that makes it possible to simply evaluate defect performance.

The quality inspection method according to an embodiment of the present invention is a quality inspection method for a chemical liquid used for manufacturing a semiconductor substrate, including a step W of preparing a first container and washing at least a portion of a liquid contact portion by using a portion of the chemical liquid, a step A of performing concentration of a portion of the chemical liquid by using the washed first container so as to obtain c liquid, a step B of performing measurement of a content of a specific component in c liquid, and a step C of comparing the content of the specific component with a preset standard value. The step W, the step A, the step B, and the step C are performed in this order, at least the step W and the step A are performed in a clean room having cleanliness equal to or higher than class 4 specified in ISO14644-1:2015, the concentration is performed in at least one kind of inert gas selected from the group consisting of an Ar gas, a He gas, and a N₂ gas or under reduced pressure, and the measurement is performed by a predetermined measurement method.

The invention discloses a detection method for particle sizes of atomized droplets of feed liquid. The detection method is characterized in that digital treatment is carried out on a preprocessed particle size picture of atomized droplets of feed liquid by using an Image-proplus image treatment technology, so as to obtain the particle sizes of the atomized droplets in a calculation manner. The problem of atomization effect evaluation of the feed liquid in cigarette enterprises is solved, a simple and feasible determination method is provided for accurate, objective, concise and efficient evaluation of the atomization effect of the feed liquid, reliable technical parameters and evaluation data are provided, and the detection method has important significance on control of production process stability, feeding uniformity and cigarette quality indexes.

Device (1) for classifying objects (2), in particular vehicles, on a roadway (3), with a sensor (4), which operates according to the light-section procedure and is directed onto the roadway (3) to detect the surface contour of an object (2), and an evaluation unit (6) connected to the sensor (5) that classifies the object (2) on the basis of the detected surface contour.

The present invention provides a method for quickly and comprehensively evaluating the economical and effective production feasibility of undeveloped reserves, including: selecting the evaluation object, and surveying the ground conditions of the block; clarifying the technical adaptability of the block; checking the trial mining data of the block , respectively screen out blocks with test production data and blocks without test production data; evaluate the implementation degree of test production capacity; establish economic limit parameter charts for different reservoir types, different oil prices, and different well depths, and determine the current estimated oil price. Economic limit initial production and economic limit cumulative production of oil wells in the target layer of the block; evaluate the economic benefits of test production wells, and judge the degree of reserves of the block. The rapid and comprehensive evaluation method for the economical and effective production feasibility of undeveloped reserves can quickly evaluate the economical and effective production feasibility of controlled reserves and proven undeveloped reserves, timely screen high-quality production construction positions, provide technical support for oilfield reservoir evaluation, and accelerate Effective utilization of different grades of reserves and upgrade of reserves.

An inclination determination device includes: an inclination calculation unit that calculates an inclination of an exercise tool before exercise start using an output signal of an inertial sensor; and a determination unit that determines whether the inclination of the exercise tool is included within a criterion range decided based on information regarding the exercise tool and body information regarding a user.

The invention relates to a wind generating set performance assessment method based on the correlation analysis. The method comprises the following steps that firstly, data are collected through a big-data platform; secondly, a generating set to be analyzed is determined; thirdly, the set in which correlation needs to be determined is subjected to the correlation analysis through different unit wind speeds with time as the sequence; fourthly, a correction unit is selected, and the relative power generating amounts of the correction unit are obtained; and fifthly, the average value of the relative power generating amounts is solved, when the relative power generating amount of the generating set to be analyzed is lower than the average power generating amount (k*100)%, the performance of the generating set to be analyzed is not good enough, and the generating set to be analyzed is in urgent need of rectification, wherein k is a constant. According to the wind generating set performance assessment method, a multi-level correlation and consistency analysis method is utilized, the related unit is determined, the influence of complex wind conditions on the performance assessment is eliminated, the relative power generating amount of the related unit is directly applied to serve as the assessment standard, the influence of good and bad wind resources on power generating is eliminated, and the assessment result is more reliable.