289results about How to "Objective reflection" patented technology

The invention discloses an obstacle detection and road surface segmentation algorithm based on a three-dimensional laser radar, and the algorithm comprises the steps: (1), scanning the surrounding environment through the three-dimensional laser radar to obtain the point cloud information of the surrounding environment, and transforming the point cloud information to a local right-angle coordinatesystem from the coordinate system of the laser radar; (2), extracting an interest data point of the three-dimensional laser radar; (3), extracting a laser radar scanning single line through a radar detection angle clustering method; (4), segmenting the laser radar scanning single line through neighborhood fuzzy clustering based on AIC criterion; (5), accurately locating a road edge and a road surface line end point through corner detection. Compared with the prior art, the method can achieve the real-time and effective extraction of a passable region of a road surface, is high in precision andreliability, is small in judgment error in a recognition process, and can be widely used for an actual occasion of the extraction of the passable region of a structured road based on the three-dimensional laser radar.

The invention discloses a space-domain sector classification method based on complexity assessment. The space-domain sector classification method includes creating a time-domain sector point-link type structure model to assess the complexity of sectors by using radar track data and simulation flight data in a sliding time window mode; computing critical complexity, current complexity and stability indexes of the sectors; and dynamically clustering and analyzing according to the relevant indexes to classify the space-domain sectors. The space-domain sector classification method has the advantages that space traffic situation can be objectively, truly and integrally reflected by the characteristics of the complexity of the sectors, the sectors are transversely compared and classified by a k-Means dynamic clustering and analyzing method, and guidance and basis for managing the sectors and making relevant decisions are provided.

The invention discloses a method for deriving and designing a flood process line based on a multi-variable most possible condition combination. According to the method, two-dimensional to multi-dimensional joint distribution functions of a flood peak and flood volumes at different time periods are constructed through a Copula function; a calculating expression formula for the most possible condition combination of under different dimensions is deduced; an estimation value of the most possible condition combination of the flood peak and the flood volumes are solved by taking a maximum condition probability density function as a principle; a single-variable condition recurrence period serves as a designed flood recurrence period standard, so that designed flood process lines at different design frequencies are derived. The method disclosed by the invention is scientific and reasonable, and is closer to real engineering, and can provide an important and high-operability reference basis for deriving and designing the flood process lines of a water reservoir.

The invention discloses an automatic detection method for a large transfusion production line, including the following steps: 1, making a transfusion bottle filled with liquid medicine rotate in a high-speed, then rapidly stopping the transfusion bottle, so that the liquid medicine in the bottle has a self-rotating movement under the inertia; 2, picking-up a plurality of images of the transfusion bottle in which the liquid medicine is in a self-rotating state; 3, respectively digitally processing and mutually comparing to the plurality of images, distinguishing the exogenous impurity in the liquid medicine, in order to judge whether the bottle of liquid medicine is qualified. The invention also discloses an automatic detection apparatus for a large transfusion production line, which is characterized by including a rotation device, a controller, a video camera and an image processing apparatus, wherein, the output end of the controller is connected with the control terminal of the rotation device, a gripping device for fixing up the transfusion bottle, a rotating work station and a detecting work station are provided on the rotation device, and the video camera outputs data to the image processing apparatus. The invention can automatically detect whether impurity exists in the liquid medicine, with high testing accuracy and fast testing velocity.

The invention discloses a rapid digital imaging fuzzy identification and restored image quality assessment method, and relates to a fuzzy identification and restored image quality assessment method, for solving the problems of poor real-time performance, incapability of effective identification of a blurred image and a clear image and effective assessment of an image restoration result, and instable output result after fuzzy restoration processing by use of a conventional method. The method is realized through the following steps: 1, obtaining a gradient image G (i, j); 2, calculating an average gray scale gradient value; 3, obtaining statistical distribution information of the gradient image; 4, performing threshold determining on BIM; 5, obtaining a restored image; 6, generating reference images F1 and D1; 7, calculating brightness similarities, contrast similarities and structural similarities between the reference images and an image to be assessed; 8, calculating g(F(i, j), F1) and g(D(i, j), D1); 9, obtaining a non-reference-image assessment index; 10, determining the non-reference-image assessment index; and the like. The rapid digital imaging fuzzy identification and restored image quality assessment method is applied to the field of fuzzy identification and restored image quality assessment.

The invention discloses an optimized layout method of water environment quality monitoring stations of a river and lake intersected water system. According to the invention, a complicated intersected water system is divided into three levels, namely, a water function division A, a characteristic subarea B and a characteristic area C with various water quality conditions, a multi-objective problem is decomposed into the problem of optimization of a plurality of single objects; and by providing quantitative optimization standard and calculation method, dependence on personal experience is reduced, ambiguity and incompatibility caused by complicated geographical environment factors are avoided, and comprehensive and objective monitoring on the water environment quality of the area can be realized with lowest investment.

The invention belongs to the technical field of electrical power system risk evaluation, and particularly relates to a multi-index fuzzy evaluation method for grid faults caused by disasters. The evaluation method comprises the following steps of providing four indexes for evaluating a grid affected by the disasters according to an operational aspect of an electric transmission line; fuzzifying the indexes by utilizing a fuzzy mathematic theory; respectively carrying out weight analysis on the evaluated indexes through an analytic hierarchy process and an entropy evaluation method to obtain a primary weight and a secondary weight of each evaluated index; and synthesizing the weights obtained by the two methods, and combining a method of weighted mean obtain a comprehensive evaluation result of the grid faults caused by the disasters, and form a fuzzy synthetic evaluation method. The evaluation method takes multiple influence factors of natural disasters on the grid into account, can be used for carrying out comprehensive comparison and analysis on influence of various natural disasters on the grid, and has stronger comprehensive and objectivity.

The invention is a method for making a three-dimensional visualization model of the internal structure of bone. In the method, a dry bone specimen is embedded and fixed by transparent polymethyl methacrylate (PMMA) to form a model specimen, and then the cross-section of the specimen is ground layer by layer, two-dimensional grayscale images and true color images are scanned and recorded layer by layer, and then three-dimensional medical reconstruction software is used to obtain high-precision three-dimensional visual model of a proximal bone structure. The invention can be applied to three-dimensional reconstruction of bones of human bodies and animals, thereby obtaining the high-precision three-dimensional visual model which can objectively, truly and completely reflect the proximal bone structure. The method can carry out certain evaluation on the structural form of bone trabecula as well as the connectivity of three-dimensional bone trabecular, and can determine the structural parameters of bone trabecular, thus providing scientific basis for medical research and clinical care.

The invention relates to a case-reasoning-based personalized recommendation method for an E-commerce website commodity. An objective problem is constructed according to a feature and an access behavior of a current access user and an original case is established according to features, historical access behaviors, and purchase records of other users; a fuzzy clustering way is used for carrying out clustering according to a target case feature, cases with high similarity levels of user features and interests and the like are classified into the same class and the class is identified, and a high-similarity-level case base is established; and a resolved case set most similar to the target user case is recommended by using a user case similarity retrieval and an improved fuzzy mean clustering algorithm and then is corrected and reused, and a dynamic case base is also updated. According to the invention, the system real-time performance is enhanced; and a problem that the previous recommendation system relies too much on commodity evaluation by users can be solved.

The invention belongs to the technical field of civil engineering, and discloses an evaluation and detection system for the apparent defects of a civil engineering structure. The system comprises an image acquisition module, a pressure detection module, a central processing module, a drone module, an image processing module, a defect evaluation module, a life prediction module and a display module. The image acquisition module and the drone module can collect image data of each corner of the engineering structure through a drone in order to obtain complete image data, so an evaluation result is accurate; the life prediction module can judge the possible control section of the structure, calculate the stiffness attenuation coefficient under the influences of load, shrinkage and creep and predict the remaining service life of the structure after the structure is loaded according to numerical analysis or mechanics knowledge; the remaining life prediction result is continuously updated bycombining actual measurement information; and the life of the structure can be accurately predicted.

The invention relates to a wet metallurgy leaching process optimization method with interval uncertainty. The ore pulp concentration is described by adopting an interval number; and according to the analysis on a reaction mechanism in a gold cyaniding leaching process, a mechanism model of the gold cyaniding leaching process is built by utilizing a material conservation equation and an interval analysis theory. On the basis of the mechanism model, an optimization model taking the maximum economic benefit of the two-stage gold cyaniding leaching process as a target and based on the interval number is built. For the uncertainty optimization model, a two-layer nested improved differential evolution and sequence quadratic programming hybrid optimization algorithm is adopted for performing solving. Finally the influence of the uncertainty level of the ore pulp concentration on the economic benefits of the leaching process is verified through simulation. The model can reflect actual situations of a production process more objectively compared with a traditional model; the adaptability of the model is improved; and therefore, the method has relatively good actual engineering significance.

The invention discloses a system and method for monitoring quality of Web services (QoWS) in an end-to-end manner. The monitoring system comprises a registration module, an SNMP (simple network management protocol) proxy module, a monitoring module and an evaluation module. The monitoring method comprises the following steps of: A, registering; B, generating parameters and parameter values of theagreed quality; C, sending the agreed quality parameters; D, obtaining the service session information; E, obtaining the management information of the service session; F, obtaining the delivered quality parameter values and perceived quality parameter values corresponding to the agreed quality parameters; G, sending the delivered quality parameter values, the perceived quality parameter values and the transmitted quality parameter values to the evaluation module by the monitoring module; and H, evaluating and counting the quality information of the service by the evaluation module. The systemand method disclosed by the invention are simple and effective, have relatively low overhead, and can objectively and comprehensively reflect the quality information of the service session so as to provide an objective basis for the service selection.

The invention discloses an arch seat anti-sliding stability safety calculation method for an arch dam, relates to the technical field of arch dam projects and solves the problems that a shear friction formula or pure friction formula is selected to perform arch seat stability analysis according to the level of an arch dam building, stress and damage characteristics of a sliding surface are not considered, and project risk or project diseconomy is caused by safety calculation result distortion in an existing method. The method includes the steps: firstly, determining a sliding mode of a slider as a double sliding mode or single sliding mode; secondly, determining the damage type of each loaded sliding resistance surface as anti-shearing-off damage or anti-shearing damage; thirdly, performing combination to obtain five damage types of the slider and calculating anti-sliding stability of the slider by selecting different formulas; finally, judging whether the slider is stable or not according to safety margin coefficient and evaluating arch seat anti-sliding stability safety. The method follows the basic principle of rock mechanics, deformation damage characteristics of the stressed slider are more really and accurately reflected, and accuracy of calculation results is higher.

The invention relates to a fire dynamic risk assessment method of super high-rise building based on fuzzy analytic hierarchy process. The method maintains a dynamic risk assessment system based on fire-fighting internet of things, obtains the real-time weights of each index in the dynamic risk assessment system by combining the analytic hierarchy process and the fuzzy mathematics theory, and obtains the fire dynamic risk assessment result of the super high-rise building based on the real-time data collection and the real-time weights. Compared with the prior art, the invention has the advantages of high accuracy, low complexity, strong universality and the like, makes automatic fire risk prediction possible, further provides scientific basis for preventing and controlling the occurrence offire, and reduces subjectivity and blindness in fire prevention.

The invention discloses an evaluation method for measurement uncertainty introduced by mechanism errors of a three-coordinate measuring machine. The three-coordinate measuring machine has a complex mechanical structure and multiple error sources, and the errors of the mechanical structure have the greatest influence on the uncertainty of space points and are difficult to be quantified. The measurement error model of the space points is obtained under the quasi-rigid body model of the three-coordinate measuring machine. 21 error information caused by the mechanical structure of the three-coordinate measuring machine is obtained through a calibration experiment or a calibration certificate, the distribution type is determined, and then the measurement uncertainty introduced by the mechanism errors of the three-coordinate measuring machine is evaluated through combination of the mechanism error model of the space points by utilizing a monte carlo random sampling method. The measurement uncertainty of the space points evaluated by the evaluation method for the measurement uncertainty has the characteristics of repeatability, reproducibility and stability so that the influence of 21 mechanism errors of the three-coordinate measuring machine on the measurement result is objectively reflected.

The invention discloses an urban inland river ecosystem health evaluation method based on weights, comprising the following steps: (1) distinguishing a reference point and a damaged point; (2) establishing a candidate microbial parameter index database; (3) screening core microbial parameters and parameter assignment; (4) calculating the microbial integrity index and dividing it into evaluation grades; (5) testing the reliability of microbial integrity index. The invention integrates the principal component weighting method, the entropy weight method and the biological integrity index method to evaluate the urban inland river with the microorganism as the research object, which has strong sensitivity and can reflect the health status of the urban inland river ecosystem quickly, sensitively, accurately and comprehensively and objectively.

The invention discloses a system for identifying focal liver lesions based on contrast-enhanced ultrasonography. The system includes a video acquisition module, an image extraction module, an image pre-processing module, a classification labeling module, a feature extraction module, a data processing module, and a data output module, a mode based on combination of edge enhancement and color balance is used firstly for performing denoising and enhancement processing on a contrast image to enhance useful information of the image while retaining the color of the contrast image, then based on a gray level histogram of the image, feature extraction is performed on the contrast image to obtain reasonable quantitative parameters, so that the diagnostic errors caused by probe movement and lesion movement caused by breathing movements of a patient can be inhibited to the greatest extent, so that the features of the lesion is reflected scientifically, objectively, clearly, and effectively, so that accuracy rate and efficiency of feature identification of the focal liver lesions by a contrast-enhanced ultrasonography technology is improved, and thus a novel way is provided for the faster andbetter development of the contrast-enhanced ultrasonography technology.

The invention discloses a damsite flood restoration method based on a Copula function. A joint distribution function of damsite peak flow before a reservoir is built, computative reservoir-in peak flow and peak flow time is constructed according to the Copula function, a joint distribution function of damsite flood volume, commutative reservoir-in flood volume and peak occurring time is constructed, a most probable value function of the damsite peak flow and the damsite flood volume is derived on the basis of the conditional probability density maximum principle of the joint distribution function, reservoir-in flood data after the reservoir is built is substituted into the most probable value function, a most probable value of the damsite peak flow and the damsite flood volume is solved, and therefore reservoir-in flood volume process data after the reservoir is built are restored to damsite flood. According to the damsite flood restoration method based on the Copula function, a strong statistic basis is achieved, the compound mode of the damsite flood and reservoir-in flood is unique, and the characteristics of an actual measurement sample can be objectively reflected; the internal relatedness among all the characteristic quantities are fully considered, and a reference basis which is important and strong in operability can be supplied to the reservoir to restore the damsite flood according to the reserivoir-in flood data.

The invention belongs to the technical field of explosion risk assessment and discloses a chemical engineering equipment explosion risk assessment control system based on cloud computing. The system comprises an extreme pressure acquisition module, an explosion probability acquisition module, a cloud computing module, a risk assessment module and a memory, can solve a problem that a traditional method (such as a TNT equivalent weight method, a Multi-Energy method and the like) has limitation, is not intuitive, poor in accuracy and expressive force, and cannot carry out explosion near-field prediction, takes account of the development process of an explosion accident, combines the influences of factors such as accident probability, comprehensively takes the explosion risk of the chemical engineering equipment into consideration, is reasonable and accurate in results, and suitable for explosion risk assessment and explosion risk identification of a chemical engineering factory with dense pipelines and a large number of apparatuses.

The invention discloses a gas concentration two-dimensional distribution on-line detection system and method, and belongs to the technical field of laser spectroscopy gas on-line detection. Compared with the prior art, the system has the advantages that a laser beam splitting cabinet splits a laser path emitted from a laser control cabinet into a plurality of paths of detection light paths and a one-path reference light path in reticular distribution; the multi-path detection light paths and the one-path reference light path respectively pass through a target gas region to be detected and a reference target gas region and are then received by a data receiving cabinet; a computer calculates the gas concentration two-dimensional distribution data according to the multi-path detection light paths and the one-path reference light path processed by the data receiving cabinet. The method has the advantages that the absorption coefficient of target gas in each pixel is calculated according to the integral light absorption degree of each path of detection light path and the light path in each pixel; the two-dimensional concentration value of target gas in a target gas region to be detected is calculated by referring to each known parameter of the target gas region. The gas environment in the industrial production process can be precisely reflected through calculating the two-dimensional concentration value of the target gas.