110results about How to "Easy search" patented technology

The invention provides a valve leakage diagnosis method and system based on an improved Hereum algorithm optimized SVM (Support Vector Machine), and relates to the technical field of valve leakage diagnosis. Decomposing the collected original signal to obtain a limited number of IMF components; calculating a fuzzy entropy, and constructing a feature vector; taking the feature vectors as data samples, and dividing the data samples into a training set, a verification set and a test set; using the training set to train the SVM model, and according to the classification error rate of the verification set on the trained SVM model, performing iterative optimization on the parameters of the SVM model based on an improved He-Ma algorithm to obtain an optimized SVM model; inputting the test set into the optimized SVM model to obtain a valve leakage diagnosis model; and acquiring a new acoustic emission signal, and inputting the new acoustic emission signal into the valve leakage diagnosis model to obtain a diagnosis result. The method not only can improve the classification accuracy and generalization ability of the diagnosis model, but also can enhance the stability of the model under different working conditions and environmental noise.

The invention relates to a lattice-based specified server searchable encryption optimization method, device and equipment and a medium, and the method comprises the following steps: a receiver mechanism calculates and determines # imgabs0 # imgabs1 # according to a system public parameter pp, a public key pkr = Ar of the receiver mechanism, a private key skr = Tr of the receiver mechanism and a keyword w 'belongs to {0, 1} * to be searched, and a SamplePre (Ar, Tr, uw', sigma) algorithm is called to generate a trap door ew '; and the cloud server matches keyword information in the ciphertext and the trap door according to the ciphertext Cw = (c1, c2, c3), the trap door ew'and a private key skc = ec of the cloud server, and sends a matching result to a user client corresponding to a receiver mechanism to complete lattice-based specified server searchable encryption optimization. The system is convenient to manage and maintain, the specified server can centrally manage encrypted data and search trap doors, and maintenance and management of the system are facilitated.

The invention belongs to the technical field of mixing precision quantification, and discloses a mixing precision quantification method of a deep neural network and a related device. The mixing precision quantification method comprises the following steps: carrying out diversity processing on a population by using a variation strategy in a differential evolution algorithm to obtain a variation population; recombining the sub-components of the variation individuals in the variation population with the sub-components of the target individuals in the current population by using binomial crossover operation to obtain a plurality of test individuals; performing hybrid precision quantification on the deep neural network based on the test individual and the target individual, and selecting a better individual from the test individual and the target individual; and based on the selected better individual, judging whether the differential evolution algorithm converges or not, if so, obtaining the deep neural network after final mixing precision quantification, and otherwise, selecting the obtained better individual as a population of the next generation. The method can realize mixing precision quantification of the deep neural network, and has the advantages of relatively low calculation complexity and relatively high adaptability.

The present invention discloses a laser positioning method and a robot based on image information. The execution subject of the laser positioning method is a robot equipped with a structured light module. The structured light module includes a line laser transmitter and a camera without an infrared filter, so that the imaging information of infrared light and the imaging information of visible light are retained in the image captured by the camera. The laser positioning method includes the following steps: the robot controls the camera to capture an image of light reflected back from the surface of an object to be measured by the line laser emitted by the line laser transmitter, and detects the brightness and darkness type of the image captured by the camera. When the robot detects that the current frame image captured by the camera is a bright frame image, the robot searches for the position of the line laser from the current frame image by executing an inter-frame tracking algorithm. When the robot detects that the current frame image captured by the camera is a dark frame image, the robot extracts the position of the line laser from the current frame image by executing a brightness centroid algorithm.

The invention discloses a ground unmanned equipment cluster path planning and formation control method. The method comprises the following steps: step 1, constructing a grid map: constructing the grid map of an operation area of a ground unmanned equipment cluster according to map information; 2, completing path planning by adopting a bidirectional A * algorithm: simultaneously searching from a starting point and an ending point, estimating the cost from a current node to a target node through an evaluation function, and completing path planning; 3, a dynamic step length adjustment mechanism: dynamically adjusting the search step length according to the environmental complexity and the state of the unmanned equipment; 4, performing formation control based on the main path: performing formation control by adopting a Leader-Follower mode; and 5, generating a cluster path: generating a final action path by using the path planning and the formation control. According to the invention, the efficiency and adaptability of the multi-ground unmanned equipment system are improved, and the stability and safety of formation control are improved.

The invention discloses a branch coverage rate calculation method and device based on BOOL logic, and relates to the technical field of software testing. The method is suitable for the test case taking the BOOL logic expression as basic test data, the branch path diagram is generated according to the BOOL logic expression, the coverage rate condition of the test case set on the BOOL logic branches is calculated according to the covered path condition in the case execution process, covered and uncovered BOOL branch reports are output according to the test execution condition, and the test efficiency is improved. The test case executed by the black box is transparent, and meanwhile, a test case set can be completed according to uncovered branch guidance in an output report.

The invention discloses a radiotherapy device and an automatic search system and method for the maximum current intensity of an accelerator. The system comprises: a cyclotron, a first driving component connected to the cyclotron and a first ion source respectively, and driving the first ion source to move away from a second ion source according to a preset step length; a second driving component connected to the cyclotron and the second ion source respectively, and driving the second ion source to move away from the first ion source according to a preset step length; a recording module connected to the first and second driving components, recording all first positions and second positions of the first and second ion sources, and all position combinations corresponding to each first position and the second position; a debugging module controlling the cyclotron to emit a beam under each position combination, and introducing, accelerating and extracting protons generated by the first and second ion sources; a storage module, acquiring and storing the beam intensity corresponding to each position combination to form a data set; and a search module searching for the maximum beam intensity from the data set to ensure a better radiotherapy effect.

The embodiment of the invention provides a PDF file analysis method and system, electronic equipment and a storage medium, and belongs to the field of document analysis. The method comprises the steps that a PDF file to be analyzed is read, the PDF file is recognized as a file in a markdown format, and a first file containing PDF content is obtained and recorded as markdown content; identifying the PDF file in an open source ocr mode to obtain a second file containing PDF content, and recording the second file as ocrcontent; according to the position of the label, performing character verification on the Markdown content, and restoring the verified file into a file in a Markdown format according to the position of the label; and extracting a title and content of the file. According to the method, the PDF file is subjected to format conversion, so that the file is easier to edit, and finally, the structure and format information in the original PDF file is reserved, so that the format of the converted Markdown file is closer to that of the original file.

The invention relates to the technical field of energy optimization scheduling, in particular to a multi-source microgrid optimization scheduling method and system. The method comprises the following steps: acquiring a mathematical model of each distributed power supply and an energy conversion device of a micro-grid in a to-be-optimized region, and constructing a target function by taking weighted minimization of fuel cost and operation maintenance cost of the micro-grid, pollutant discharge treatment cost of the micro-grid and load control compensation cost of the micro-grid as a target; setting a power balance constraint, an energy storage charge state constraint, a generation power constraint, each distributed power supply output constraint and a ramp rate constraint as constraint conditions, and constructing a day-ahead optimization model; the day-ahead optimization model is solved through the whale-bat algorithm, and the whale-bat algorithm replaces the search stage of the whale algorithm with the improved bat algorithm to solve the day-ahead optimization scheduling strategy. The optimal scheduling strategy obtained by the invention can respond to dynamic changes more quickly while ensuring high precision.

The present invention discloses a friction compensation control method for an electro-hydraulic servo system. The method first collects signals such as system flow, oil supply pressure, acceleration, etc. of the electro-hydraulic servo system, models the system friction using an improved LuGre friction model, identifies its parameters offline using a genetic algorithm, and uses the estimated value generated by the identification model for feedforward compensation; then, a hyperbolic sine function with better smoothness is introduced to design the nonlinear state error feedback and extended state observer part of the variable coefficient self-disturbance rejection controller; and on this basis, a fuzzy adaptive control method is combined to adjust the nonlinear state feedback coefficient through error and error differential; the "contradiction between rapidity and overshoot" is solved, and the stability and finite time convergence of the system are guaranteed. This method effectively improves the system's compensation capability for friction nonlinearity, improves the system's motion performance, and improves the system's tracking accuracy and anti-disturbance capability.

The invention discloses a fault recovery method based on an embedded operating system, which comprises the following steps of: firstly, constructing a target process structure containing task information and storage information, and then indexing and storing each file related to a check point by using a check point file. And updating data in the check point file according to a set check point time interval. When the system receives a check point setting request, performing global consistent check point setting according to the process relation structure in the check point file; when the system receives a check point recovery command, according to the relation structure, the current process storage modification mark and the associated process storage modification mark, the corresponding processes are rewound, and all the processes are recovered. According to the method, by using a check point file structure and adopting a method for setting and marking the storage modification state only by rewinding, all processes having a dependency relationship with the storage modification process are ensured to be rewound, and correct execution of fault recovery is ensured.

The invention discloses an urban rail transit abnormal passenger flow prediction method and system based on artificial intelligence, and relates to the field of passenger flow prediction. According to the method, the SVM machine learning model is trained and tested by adopting the classified historical abnormal passenger flow data of the station, the historical data of the natural influence factors and the historical data of the social influence factors, so that a relatively accurate classification model is provided for subsequent classification; secondly, collecting real-time data of different types of natural influence factors, real-time data of social influence factors and real-time passenger flow data of different rail transit stations in real time, and continuously updating the final SVM classification model so as to adapt to continuously changed behavioral habits and modes of people; the accuracy of subsequently classifying the predicted data is improved; indirect prediction is carried out on the passenger flow volume data through the predictable natural influence factor data and social influence factor data, and the prediction accuracy is improved.

The invention discloses a cross-camera video pedestrian search method based on representation learning, terminal equipment and a computer readable storage medium, and the method comprises the following steps: obtaining cross-camera video pedestrian data, and constructing a query set and a candidate video library corresponding to the query set; inputting the video into a target detection network, and learning a bounding box of each pedestrian, a confidence score of the bounding box and features of each pedestrian; inputting the pedestrian bounding boxes and the features into a multi-target tracking network based on time sequence feature fusion, performing data association on the video frames, and obtaining the trajectory of each pedestrian and the time sequence feature of each trajectory; and performing similarity calculation on the pedestrian trajectory feature vector in the query set and all pedestrian trajectory feature vectors of the pedestrian in the candidate video library, and performing accuracy calculation. According to the invention, for a real video monitoring scene, extraction and data association are carried out on pedestrian features by using long-term time sequence features in a video, so that target pedestrians can be searched in a cross-camera scene.

The invention discloses a manned lunar exploration-oriented earth-moon emergency return orbit rapid design method, which comprises the following steps of: establishing a high-precision orbit kinetic equation in a geocentric inertial coordinate system by taking the earth as a central celestial body, and describing the motion state of an aircraft in an earth-moon space; determining a general transfer orbit and a free return orbit of the manned lunar exploration task by adopting a B-plane design method in combination with a high-precision orbit kinetic equation of the aircraft; globally searching an initial value range of a design variable under the condition of comprehensively considering reentry point height and reentry angle constraints by taking a general transfer orbit or a free return orbit as a baseline; and on the basis of the initial value range of the design variable, further considering the reentry range, the reentry inclination angle and the coplanar constraint with the drop point, and determining a final design variable and an emergency return orbit by adopting a differential correction optimization algorithm. The method has an important reference value for rapid design and parameter selection of the emergency return orbit in a manned lunar exploration task.

The invention relates to an auxiliary power system equipped with an unmanned aerial vehicle holder, a signal enhancement component storage box is fixedly mounted at the top of a host box body, and the inner side of a left-right opening and closing door at the upper part of the signal enhancement component storage box is connected with a signal enhancement component through a cable reel; foldable motor supporting arms are fixedly installed on the periphery of the upper portion of the main machine box body, the ends of the foldable motor supporting arms are fixedly connected with power motors through screws, output shafts of the power motors are connected with foldable propellers, holder rails are installed on the surface, below the foldable motor supporting arms, of the main machine box body through supports, and the main machine box body is located on the inner sides of the holder rails. According to the wireless cloud platform, electric power can be provided for a disaster area in time, in-time, continuous and sufficient communication bandwidth can be provided, the rescue efficiency can be improved, and it is ensured that rescue work is carried out in order.

The invention provides an instant positioning and mapping method and system applied to a medical mobile robot, a storage medium and electronic equipment, and relates to the technical field of SLAM. According to the method, firstly, a monocular RGB camera which is suitable for a complex environment and lower in cost is selected to collect video streams of a real world scene, and depth information and camera poses corresponding to each key frame image are estimated through a convolution gating circulation unit by means of optical streams between different key frame images. And then, fusing the volume rendering capability of the neural radiation field and the capability of capturing global and local scene information of the layered voxel grid, and realizing rapid rendering of a larger scene under the condition of limited resources by using a hash coding mode which has a small storage space and is easy to search for a grid corresponding to a sampling point. The positioning and mapping precision can be improved, the medical mobile robot can adopt corresponding strategies according to different ground conditions, and the safety of the medical mobile robot and the adaptability of the medical mobile robot to complex terrains are improved.

The utility model relates to the technical field of building construction lighting, and discloses an on-site searchlighting device for building construction technology management, which comprises a turntable, the upper surface of the turntable is fixedly connected with a rotating assembly, and the two ends of the rotating assembly are fixedly connected with searchlights. According to the on-site searchlighting device for building construction technology management, through arrangement of a rotating assembly, a traction mechanism, a balancing weight, a fixing assembly and a rotating mechanism, during searchlighting, a servo motor is started, the servo motor drives a rotating column to rotate and drives the fixing assembly to rotate at the same time, so that a rotating disc rotates along with the rotating column, a searchlight is driven to rotate, a hydraulic rod is started, and the searchlight is driven to rotate; when the hydraulic rod extends upwards, due to the gravity of the balancing weight, the searchlight rotates downwards around the rotating rod, when the hydraulic rod contracts, the chain is pulled to pull the searchlight to rotate upwards around the rotating rod, the searchlighting range of the searchlight can be expanded, the view blind area is reduced, and convenience is brought to building constructors on site.

The invention belongs to the technical field of nuclear power station production path planning, aims to solve the problems that in the prior art, nuclear power operation path finding time is long, and path safety cannot be guaranteed, and discloses a nuclear power operation path planning method for avoiding nuclear radiation. A nuclear power station three-dimensional virtual road network is constructed in a mode of reversely calculating actual three-dimensional space coordinates, and a path can be planned in real time by considering a site radiation dose rate factor, so that the minimum exposure dose value of safe operation of personnel in a nuclear power station working scene is ensured.

The embodiment of the invention discloses a content searching method and device, equipment and a medium, and is applied to the technical field of Internet. The method comprises the steps that in response to selection operation for target content on a content detail page, when the target content is highlighted on the content detail page, an associated display area associated with the target content is displayed, and recommended search terms associated with the target content are displayed in the associated display area, and in response to a search operation for the recommended search term on the associated display area, displaying search result contents corresponding to the recommended search term. By adopting the embodiment of the invention, the search efficiency can be improved after the detail page is browsed.

The embodiment of the present invention provides a pathfinding method and apparatus, device, and medium based on a game scene. The method includes: in response to a pathfinding instruction issued to an application, obtaining a target position from the pathfinding instruction, and determining a target scene area where the target position is located; obtaining transmission point information corresponding to the target scene area from a transmission information table, wherein the transmission point information corresponding to each of a plurality of grids is stored in the transmission information table; and executing the action logic corresponding to the pathfinding instruction based on the transmission point information corresponding to the target scene area. By directly obtaining the transmission point information corresponding to the target scene area from the transmission information table, the method can not only avoid a large amount of calculations generated in each pathfinding process, greatly improving the transmission point search efficiency, but also avoid the problem of a sharp increase in the complexity of the transmission point search due to an increase in the number of transmission points, so that the number of transmission point configurations in the game scene map is not limited, and the transmission point configuration is more flexible.

The application discloses a password security evaluation method and system based on quadratic Boolean equation variable segmentation, and belongs to the technical field of password security evaluation. The method comprises the following steps: constructing a quadratic Boolean equation set about a password algorithm to be evaluated; constructing a mixed integer linear programming model of the quadratic Boolean equation set; solving the mixed integer linear programming model based on a set target function, to obtain an optimal segmentation result of x variables in the quadratic Boolean equation set; performing quadratic Boolean equation set solving based on the segmentation result of the x variables, to obtain a plurality of groups of candidate solutions; and decrypting the ciphertext according to the candidate solutions, to obtain a security evaluation result of the password algorithm to be evaluated. The application can provide security evaluation efficiency of the password algorithm.

The invention provides an online traditional Chinese medicine diagnosis and treatment system, which adopts a brand new development mode, and collects and stores prescriptions of traditional Chinese medicine masters and expert experience through an AI intelligent search and prescription selection module, a medical history acquisition module, a diagnosis and differential diagnosis acquisition module, a syndrome differentiation prescription acquisition module and an expert experience acquisition module. Dialectical skill of a seating doctor and help of a big dialectical director are adopted in traditional Chinese medicine syndrome differentiation, traditional Chinese medicine AI pulse diagnosis instrument accessories can be added, and the diagnosis accuracy can reach 95% or above. The system has the advantages of accurate dialectical effect, extremely high speed and local and remote diagnosis and treatment functions, and an applet is not restricted by time, site and environment. And the seat diagnosis physicians can learn the knowledge and the technology of the masters of various departments, so that the self-promotion is quicker.

The present invention discloses an array antenna amplitude-phase weighted beamforming method based on a sine-cosine optimization algorithm, and belongs to the technical field of array antenna beamforming. The present invention obtains the desired shaped beam pattern by adjusting the amplitude and phase of the array element to meet the detection needs in different situations. The fitness function of the constructed different shaped beams is used as the fitness function, and the sine-cosine optimization algorithm is used to iteratively optimize each individual in the population under the constructed fitness function until the optimal amplitude-phase weight vector is output as the target amplitude-phase weight vector after the conditions are met, thereby obtaining the beamforming result, and the volatility and periodicity of the sine-cosine function are used as the design goals of the realization operator to search and iterate the optimal solution. The sine-cosine oscillation variation characteristics bring about a good solution space search capability, with the characteristics of few parameters, simple structure, easy implementation and fast convergence speed, and can quickly search and obtain the ideal beam pattern to meet the detection needs in different situations.

The invention relates to the technical field of second-hand car information risk management, and discloses a second-hand car information risk assessment system and method based on big data, and the system comprises a second-hand car information collection management module, a second-hand car information grade analysis module, and a second-hand car information risk assessment and push module. Identifying the professional level of the hardware configuration of the second-hand car identification institution by adopting the professional degree parameter of the hardware configuration of the second-hand car identification institution and the professional level parameter corresponding to the professional degree of the hardware configuration of the second-hand car identification institution, and scientifically analyzing the professional level parameter of the hardware configuration of the second-hand car identification institution; and identification mechanism service quality grade identification processing is carried out based on the second-hand vehicle identification mechanism service satisfaction parameters and the second-hand vehicle identification mechanism service satisfaction corresponding service quality grade parameters, and the second-hand vehicle identification mechanism service quality grade parameters are accurately analyzed. Therefore, intelligent evaluation of the hardware configuration level and the authentication service quality level of the second-hand car authentication mechanism is realized.

The invention provides a disparity map determination method, a three-dimensional reconstruction method and a related device. The disparity map determination method comprises the following steps: acquiring images of a to-be-detected object under projection of a plurality of images with different illumination intensities acquired by a camera module in the camera equipment, and obtaining a plurality of structured light object images of the camera module; the camera shooting equipment at least comprises two camera shooting modules; based on the plurality of structured light object images of the camera module, separating out a specular reflection image and / or a diffuse reflection image of the camera module; searching matching points based on the specular reflection images and / or diffuse reflection images of the two camera modules to obtain a first matching point pair; and based on the first matching point pair, obtaining a disparity map of the two camera modules. According to the invention, the quality of the disparity map on the highly reflective surface can be improved.

The present invention provides a method and device for mining frequent subgraphs of a single graph, wherein the method comprises: generating a canonical adjacency matrix according to the dictionary sorting result of the node labels of the single graph, and sequentially numbering each graph node; generating an initial suboptimal canonical adjacency matrix tree through the canonical adjacency matrix, wherein the leaf node includes a first number of edges, and its CSP search space is a dictionary sorting order combination of the numbers of the graph nodes corresponding to the node labels contained therein; performing FFSM-Join operation or FFSM-Extension operation on the leaf node according to the canonical adjacency matrix, and the subgraph growth obtains a child node that expands an edge; using the child node as a candidate subgraph, constructing its CSP search space according to the subgraph growth method; if the effective number of the search space is less than the set support threshold, marking the candidate subgraph as an invalid subgraph; if the growth is not completed, continuing the subgraph growth, and if the subgraph growth is completed, outputting the frequent subgraph. The above scheme can improve the efficiency of mining frequent subgraphs.

The invention discloses an image processing method and an image processing device for identifying a target object. The image processing method comprises the following steps: acquiring an original image comprising the target object; performing binarization processing on the original image to obtain a binarized image; performing one-dimensional scanning on each pixel row of the binarized image in a parallel mode through a multi-core processor to extract a one-dimensional connected region of each pixel row of the binarized image; combining adjacent pixel rows to generate a first maximum connected region comprising a plurality of one-dimensional connected regions; aiming at each pixel row of the first maximum connected area, aligning the head part of the head end one-dimensional connected area of each pixel row, and aligning the tail part of the tail end one-dimensional connected area of each pixel row to generate a second maximum connected area; and performing two-dimensional scanning on the aligned head part and the aligned tail part of the second maximum connected region to identify the target object.

The searchlight for the coal mine comprises a light body and an adjusting table, the light body is located on the top of the adjusting table, connecting plates are fixedly installed on the left side and the right side of the light body respectively, a supporting plate is fixedly installed on the top of the adjusting table, and turning plates are movably hinged to the left side and the right side of the supporting plate respectively. Limiting openings are formed in the surfaces of the two turning plates, two rotating rods are rotationally connected to the front side of the supporting plate, a worker aligns the connecting plates on the left side and the right side of the lamp body to the surface of the supporting plate to be inserted, then the turning plates are turned over, the limiting openings in the surfaces of the turning plates penetrate through the surfaces of limiting blocks, and at the moment, inserting rods on the surfaces of the turning plates are inserted into inserting holes in the connecting plates; and after the worker rotates the limiting block, the turning plate is clamped, at the moment, rapid fixing of the lamp body is completed, the worker can rapidly disassemble and assemble the lamp body through the turning plate, the operation room is large, the worker can conveniently disassemble the lamp body independently for searchlighting, and practicability is high.

The invention relates to the related field of archive data management, and discloses a natural semantic analysis method and system based on three-table integration of archives, which are used for performing content standardized management and storage of archive data, and can effectively reduce repeated data in an archive library by integrating table text data of a plurality of pieces of archive data of an object so as to improve the efficiency of the archive library. Moreover, the normalized archive data is more convenient to search and view, and the tedious process of searching the archive where the required content is located in the numerous archive data is avoided.

The utility model relates to the technical field of tapping and drilling, in particular to a tapping and drilling all-in-one machine. Comprising an operation frame, a bearing frame is arranged at the bottom end of the operation frame, a driving module is installed at the upper end of the operation frame, a drill bit body is arranged on the lower surface of the driving module, an adjusting mechanism is arranged on the surface of the bearing frame, the adjusting mechanism comprises a bearing groove, and the bearing groove is formed in the surface of the bearing frame; a magnetic frame is clamped to the inner wall of the bearing groove, connecting plates are fixedly connected to the surfaces of the two sides of the magnetic frame, the surfaces of the connecting plates are clamped to the side walls of the bearing frame, fixing frames are fixedly connected to the two sides of the bearing frame, rotating plates are rotatably connected to the inner walls of the fixing frames, and connecting holes are formed in the surfaces of the rotating plates. The inner wall of the connecting hole is connected with the surface of the connecting plate in an inserted mode. The tapping and drilling all-in-one machine has the advantage that metal wires can be conveniently protected in the drilling use process.