145 results about "Minimum deviation" patented technology

A method is disclosed for designing an energy-absorbing impact zone for a vehicle interior, including acquiring test data representative of an occupant, determining a force versus deflection curve for the vehicle impact zone, analyzing the force versus deflection curve, and utilizing the analysis to adjust the stiffness of the energy-absorbing impact zone and to shape the force versus deflection curve so that a constant area under the force versus deflection curve has the minimum deflection possible without exceeding a certain force limit and a certain head impact criterion.

Representing source data with predefined data patterns, or identifying predefined data patterns in source data, where each data pattern includes a unique combination of pattern elements, without comparing every pattern element of each data pattern to the source data. A hierarchical structure of relationships between the data patterns is predetermined in an initialization stage by comparing the data patterns to identify identical pattern elements among groups of the data patterns. Selected node elements in a resulting relationship tree are compared to the source data to determined deviations. The deviations are propagated and accumulated throughout the relationship structure of the tree, and data patterns having the minimum deviation are selected to represent corresponding source data cells. A graphics pipeline preferably is used to determine the deviations and select data patterns in real time.

The invention relates to a welding track detection and control method of a container corrugated plate based on laser ranging, including the following steps: A. track detection is carried out; B. track identification is carried out; C. track control is carried out; D. the relative position relation between a welding gun and a welding seam is adjusted at last by performing mechanism actions. In the invention, the information of welding seam is obtained by a laser displacement sensor, and track fitting is carried out after effective wave filtering treatment to realize track detection; simultaneously, the problem of track detection and control in automatic welding of the container corrugated plate is fundamentally solved by combining track interpolation algorithm of a minimum deviation method. The invention further explains the smooth conversion of welding parameters of inflection points in detail, and proposes an adjustable inflection point parameter conversion method in smooth degree. In the filed test welding by using the method in the invention, the track tracking effect reaches intended goal, thereby improving the welding quality and welding efficiency of the container corrugated plate, and improving the labor environment.

The invention relates to a non-stationery vibration signal instantaneous frequency estimation algorithm in a start and stop period of rotating machinery; firstly, an experiment table working model of a rotor of the rotating machinery is built, a non-stationery vibration signal sensor for measuring vibration signal, and a photo-electric sensor for measuring the rotating speed of a reference axis are arranged along the horizontal and vertical direction of the reference axis; after the obtained signal is analyzed by an order analysis software of an upper computer through a dynamic signal analyzer, STFT time-frequency spectrum containing multi-level component is obtained; the working frequency of the rotating machinery is used as an estimated starting frequency point, according to the requirements of sampling frequency and calculation accuracy, the frequency obtained by the STFT time-frequency analysis is equally divided into M groups, the start and stop period is equally divided into N time points for building grid meshes of N time points and M groups of frequency points; the route of minimum-deviation frequency point from the start point to the stop point is computed through Viterbi algorithm, after fitting is carried out, the instantaneous frequency estimation function value of the reference axis of the non-stationery vibration signal of the rotating machinery in the start and stop period is obtained.

The invention provides a network attack detection method and device. The method includes the steps that behavior characteristic parameters of a preset user and the number of intrusion prevention alarming times of the preset user are obtained in a preset period of time; the deviation degree of the preset user and each standard user is calculated according to behavior characteristic parameters of each standard user in a pre-built standard user model and the behavior characteristic parameters of the preset user, the pre-built standard user model corresponds to the preset user, and the deviation degree is used for representing the similarity of the behavior characteristic parameters of two users; the minimum deviation degree in the deviation degrees of the preset user and the standard users is determined; according to a weighted summation result of the number of intrusion prevention alarming times and the minimum deviation degree, network attack warning is generated for the preset user. The method and device can reduce the number of warning times and improve the effective rate of warning.

The invention discloses a method for rectifying and selecting a tunnel segment. The method comprises a step of confirming a segment-assembling and combining proposal. The step comprises the content as follows: firstly, a plurality of positions used for sticking wedges with maximum thickness are set along the circle of the end surface of a segment assembling position at a shield tail; then all segment permutation and combination forms which are formed in a way that a current ring and a plurality of subsequent ring segments respectively stick the wedges with the maximum thickness at a plurality of positions are arranged; at the same time, the deviation between a tube ring center of the last ring in each segment permutation and combination form and a tunnel design axial line is measured; and finally a proposal with minimum deviation is confirmed as the segment-assembling and combining proposal. The invention has the advantages of high efficiency, good effect and wide application range; the method can select a construction proposal with best segment selection and combination assembly fast and automatically to achieve the effects of reducing the construction axial line deviation and ensuring the tunnel engineering quality; and the method is applicable to the selection and the construction of the segment-assembling and combining proposal in a shield tunnel with the assembly form of all types.

A system and associated method for selecting or creating an area which meets meet a set of marking criteria, for example, corresponding to a minimum surface area; a maximum slope angle; and a minimum deviation from a specified height. A marking station is directed to mark the selected area that meets the marking criteria.

The invention discloses a virtual power plant-based distributed power supply combination planning system and a virtual power plant-based distributed power supply combination planning method. According to characteristics of output power of the distributed power supplies and according to historical output power of the uncontrolled distributed power supplies, an interval set of the output power of the uncontrolled distributed power supplies is obtained; in a planning and scheduling cycle, with the minimum deviation between the predicted output power of a combined distributed power supply and the expected capacity of a virtual power plant as an aim, a virtual power plant-based distributed power supply combination optimizing model is established, and the optimizing model is solved to obtain an optimal combining scheme of the distributed power supplies. Through establishment of the virtual power plant, the distributed power supplies can be flexibly and efficiently integrated, so that the problem that the distributed power supplies are connected into a power grid on a large scale is solved; through reasonable selection of types and capacities of the distributed power supplies, the problems such as power supply reliability caused by uncertainty of the output power of the distributed power supplies can be solved, and the utilization ratio of the distributed power supplies can be improved.

The invention discloses a method for positioning bottle bodies on a production line based on machine vision. The method comprises the following steps of: 1, acquiring images of the bottle bodies and preprocessing the images; 2, extracting edge point sets outside a plurality of groups of bottle bodies, namely scanning the preprocessed images along a longitudinal linear trace and a fixed-point circular trace twice, and effectively eliminating error points by a minimum deviation absolute value sum method; 3, integrating the edge point sets, performing least square method on the integrated edge point set, and then performing linear fitting, thus obtaining an edge characteristic line set; and 4, calculating positioning characteristic angle points of bottle bodies of special bottles according to an intersection relation among elements of the line set, thus obtaining bottle body characteristic information, such as a deflection angle of each bottle body, the height of each bottle, the width of each bottle and the geometric center according to the characteristic angle points. According to the method, the bottle bodies can be automatically identified and quickly and precisely positioned.

The invention discloses a pressurized water reactor (PWR) nuclear power plant reactor core power model predictive control method based on a genetic algorithm. The method comprises the steps of establishing a mathematical state space model of a reactor core; linearizing the mathematical state space model of the reactor core; establishing a power predictive control model of the reactor core; and carrying out parameters setting for the power predictive control model based on a genetic algorithm. The invention combines operating parameters of the PWR core, sets the parameters in a controller by using an improved genetic algorithm, obtains a global optimal solution, and achieves self-adaptive adjustment of PWR nuclear power plant reactor core power control; also predicts a future deviation value by using the predictive model, determines a current optimal control strategy by rolling optimization, and enables minimum deviation between a future controlled variable and a value of expectation; and optimizes undetermined parameters in the reactor core power predictive control model by using the genetic algorithm, and obtains optimal values for the undetermined parameters.

An automatic sound system equalizer adjusts a sound system to a target sound, where the sound system includes at least two groups of loudspeakers supplied with electrical sound signals to be converted into acoustical sound signals. The equalizer sequentially supplies each group with the respective electrical sound signal; sequentially assesses the deviation of the acoustical sound signal from the target sound for each group of loudspeakers, and adjusts at least two groups of loudspeakers to a relatively small, preferably minimum deviation from the target sound by equalizing the respective electrical sound signals supplied to the groups of loudspeakers.

The invention discloses a webpage content extraction method and device based on a Markov random field. The method comprises the following steps: sequentially parsing HTML (hypertext markup language) texts and preprocessing the HTML texts; extracting label text windows from the preprocessed HTML texts to obtain a label text window set, wherein each label text window comprises a content text surrounded by a label and the related attributes of the content text; creating a Markov random field model by the label text windows according to an adjacent relation; taking text length and label type as basic characteristics, and initializing the Markov random field model by a minimum deviation threshold value method; optimizing the Markov random field model by using an ICM method according to the line numbers of the label text windows and the character intervals between each adjacent label text windows and reconstructing the content according to the optimized Markov random field model to obtain extracted content. The method can be applied to automatic abstracting and classifying systems in the field of information retrieval, and has the advantages of high extraction precision, high extraction speed, low maintenance cost, good adaptability, high flexibility and the like.

The invention provides a non-contact indirect measuring method for thickness of a Fresnel biprism. The non-contact indirect measuring method comprises the steps of measuring refractivity of the Fresnel biprism in a minimum deviation angle method and a refraction law method through measuring the wedge angle of the Fresnel biprism; and measuring the thickness of the Fresnel biprism in a non-contact manner by means of a statistical method. Under an experiment background of measuring the wavelength of natrium yellow light, through continuously changing the position of the biprism, the fringe spacings at different positions are recorded, and a linear relationship between the position and the fringe spacing is simulated, thereby calculating the thickness of the Fresnel biprism. The non-contact indirect measuring method can realize easy measurement for the thicknes of an easy-damage optical lens on condition that a requirement of no damage is satisfied.

The invention provides a refractive index measurement method with a wide range, and belongs to the field of physical measurement. Compared with the traditional measurement method which employs a total reflection principle, an angle of minimum deviation, and a Michelson interferometer, an apparatus uses a prism coupled symmetrical metal coated waveguide resonance structure. A sample to be measured is not positioned in an evanescent field, but in an oscillating field area-waveguide core layer. The arrangement expands the measurement range of refractive indices of samples, and effectively improves measurement sensitivity. The method is advantageous in that: (1) metal films are used as upper and lower coating layers of waveguide, the sample is used as a wave guiding layer, and the refractive index measurement range is not limited; (2) the sample can be liquid and gas; (3) the thickness of a waveguide hollow chamber is in a scale of dozens of micrometers, small-angle incident light can be used for exciting a higher-order guide mode with high sensitivity, wide-angle incident light can be used for exciting a surface plasma mode, an absolute value of the refractive index of sample can be accurately determined; (4) the higher-order guide mode with high sensitivity can be used as a probe, and the measurement precision reaches 0.00001.

The invention discloses a timing measurement method comprising: determining a first reliable path position reaching to a terminal according to related power or channel impulse response power and determining a timing moment the terminal signal reaching according to the first reliable path position. Meanwhile, the invention also discloses a timing measurement system and apparatus. The invention adopts the first reliable path position reaching to the terminal to perform the timing measurement. Accordingly, when large time delay extended multiple paths are existed in the movable environment, or the transmitting terminal is used for obtaining the transmission diversity gain, and the multiple paths are brought by the incomplete synchronous a plurality of aerial transmitted signals, according tothe invention, relative stable timing measurement results can be obtained, and a minimum deviation value is provided between the timing measurement result and the actual value, thereby improving the wireless positioning algorithm performance by timing to perform the distance measurement form the UE to the base station in advance at a certain extent.

The invention discloses a demand prediction model selection method based on demand characteristic analysis, and belongs to the field of demand prediction algorithms. The method comprises the steps: respectively obtaining material data and project data, and carrying out the data cleaning of the material data and the project data; combining the material data and the project data after data cleaning, and obtaining the combined monthly data; inputting the combined monthly data into a prediction model for prediction, and obtaining a weight value corresponding to each prediction algorithm; and determining a final demand prediction model according to the weight values and the prediction algorithms corresponding to the weight values. The historical data is obtained and cleaned, and then is inputted into the prediction model for prediction. The weights of the prediction values and the prediction model for the weight value with the minimum deviation with an actual demand value are selected, and the final demand prediction model is determined. Therefore, the method solves a problem that the actual demand prediction usually has an excessively big prediction error, improves the prediction reliability, is practical simple and is easy to operate.

In a case where the optical recording medium comprises a multi-layer optical recording medium having a plurality of information recording surfaces, the following equation is satisfied on each information recording surface x (x=1, 2, . . . ) of the multi-layer optical recording medium: |CLx/CDx|≧1, where CDx (x=1, 2, . . . ) denotes each least squire error value (unit: λrms) of a cubic coma aberration component occurring per unit angle when the multi-layer optical recording medium is inclined; and CLx (x=1, 2, . . . ) denotes each least squire error value (unit: λrms) of a cubic coma aberration component occurring per unit angle when the objective lens is inclined in a case where the laser light is condensed and applied to a predetermined information recording surface x of the multi-layer optical recording medium.

The invention relates to an infrared glass refractive index photoelectric detection method based on a measurement apex angle and an incidence angle, belonging to the technical field of optics. The detection method comprises the following steps: forming a parallel ray for simulating infinite target by virtue of a light source xenon lamp, a monochromator and an off-axis parabolic mirror; monitoring spot position of a beam splitter prism through a detector IV, and monitoring spot position of a detected prism through a detector I, a detector II and a detector III; calculating a prism apex angle depending on formula alpha=60 degrees+/-|theta2-theta1|; calculating a minimum deviation angle of the prism depending on formula (as shown in Specification); and calculating a refractive index of the detected prism depending on formula (as shown in Specification). Compared with the prior art, the detection method has the characteristics of simplicity and convenience in calculation, simplicity in operation, time-saving and labor-saving properties, low cost and high efficiency.

The invention embodiment provides an abdominal cavity minimally invasive surgery system and a needling time determination method; the method comprises the following steps: obtaining a static state section image of a focus internal organs model, and using an ultrasonic unit to capture the focus internal organs in the abdominal cavity in real time so as to form a dynamic ultrasonic image; fusing and rectifying the dynamic ultrasonic image with the static state section image of the focus internal organs model, thus determining the needling execution time of a planned puncture path, so the deviation of a puncture tool reaching a preset target can be limited in a preset scope. The system and method allow the tool to have the minimum deviation when reaching the preset target, thus further ensuring surgery safety and effectiveness, and reducing operational difficulty.

The invention proposes an interference and kinematic constrained five-axis machining tool axial linear optimization method, and belongs to the technical field of numerical control machining. The method comprises the following steps of firstly transforming a feasible space of the tool axis vector and an initial tool axis vector into rotation axis expression in the machine tool coordinate system; comprehensively considering the feasible space constraint of the tool axis vector and the angular velocity, angular acceleration and angular acceleration constraint of the machine tool rotation axis bytaking the minimum deviation between the rotation axis optimization value and the initial value as the goal to establish a linear optimization model of the tool axis vector, and finally obtaining an optimized tool path. The method is suitable for tool axis vector optimization in complex surface five-axis NC machining, and can effectively improve kinematics characteristics of the machine tool and improve the processing quality and efficiency.

A method for balancing states of charge of battery cells of a battery includes determining the individual cell capacities of the cells. A k-th cell having the smallest cell capacity, the individual states of charge, the depth of discharge, a target depth of discharge, and a target state of charge are determined. The deviation of the state of charge of a cell from the target state of charge (ΔSOC_target,n) and the minimum deviation of the state of charge of a cell from the target state of charge (ΔSOC_min) are determined. At least one of the cells, to which ΔSOC_target,n−ΔSOC_min>X applies, where X≧0, is discharged. If ΔSOC_target,n−ΔSOC_min≦X applies to all cells, the method ends. If this condition does not apply to all cells, the individual states of charge are determined again and the method is repeated.

Disclosed is an optical splitter of a wind-detecting lidar which is based on the double-edge technique, and the device belongs to the atmosphere detection technology field. The purpose of the device is to solve the problem that the current angle tuning technique can not perfectly control the small angle of two incoming optical beams of the single etalon. The optical splitting prism comprises an incident face with an antireflection coating, a first exit facet with a translucent coating, a second exit facet with an antireflection coating, and a fully reflecting surface with a perfect reflection coating. The incoming optical beam is divided into two beams by the incidence optical splitting prism along the preset minimum deviation angle, one beam is refracted to form a first exited optical beam by the first exit face, and the other beam can be reflected to form a second exited optical beam by the fully reflecting surface and the second exit face, the incident face and the second exit face are arranged in parallel, the two angles of Alpha and Beta of the light splitting prism meet the preset equations set. The device has simple structure, simple operation, easy control and low cost, improves the current angle tuning technique, and the angle tuning precision can be improved by 1 to 2 orders of magnitude.