147 results about "Path diagram" patented technology

The invention relates to a mobile robot path planning method used in an intensive storage zone. The mobile robot path planning method is technically characterized by comprising the following steps: step 1, an initialized net type path diagram is set up by a scheduling layer server; step 2, a cargo storage task is divided into an empty trunk cargo searching subtask and a loading delivering subtask by the scheduling layer server; step 3, a dynamic planning path of the mobile robot is established by the scheduling layer server and a dynamic planning path of the mobile robot is sent to the mobile server; step 4: the mobile robot executes the corresponding subtask; step 5: the mobile robot sends a state report of the mobile robot to the scheduling layer server; and step 6, the scheduling layer server updates the current position, the load state, and a weight related to an original starting point and a target point of the mobile robot. By dividing every task into the empty trunk cargo searching subtask and the loading delivering subtask, according to the planning paths of different subtasks, the complexity of a safety collision prevention operation of a plurality of mobile robots is reduced, and the instantaneity and the effectiveness of the system are improved.

The invention relates to a method for solving multiple mobile robot path conflict based on a buffer area. The method is characterized by comprising the following steps of scheduling a main thread and a parallelly executed planning thread in a server, a collision prevention thread and an execution thread, wherein the main thread initializes and updates a net-shaped path diagram in real time; when the planning thread detects a cargo access task, acquiring starting pint and target point information, dividing the task into a plurality of sub-tasks, and planning a task path; seizing resource variables, allocating tasks, defining occupiable paths of a mobile robot, and adding the tasks into an executing queue by a path scheduling thread; and executing a thread executing command and sending order to the mobile robot. The method is reasonably designed; by the method, the problem that when the multiple mobile robot path conflict exists in the prior art, the whole conflict area is occupied, and one part must wait for the other part to totally go through the conflict area and then enters the conflict area to cause low efficiency is solved; and the conveying efficiency of the mobile robot is improved.

The invention relates to a drawing generating method, in particular to a method for automatically generating a plane-section drawing of underground cable duct lines. The method for automatically generating the plane-section drawing of the underground cable duct lines is characterized by comprising the following steps of (1) preprocessing duct line point data, (2) drawing a plane drawing of duct line points through a GIS, (3) forming a plane drawing of the duct lines, and (4) extracting duct line plane drawing data to automatically draw the plane-section drawing of the duct lines. The method for automatically generating the plane-section drawing of the underground cables duct lines has the advantages that duct line crossing data are automatically extracted from the plane drawing of the duct lines, so that manual calculation is avoided; a path diagram and terrain section data are automatically extracted from the plane drawing of the duct lines, so that repeated manual drawing of the plane-section drawing is avoided; automatically extracted line paths, duct line crossing, terrain sections, path diagram data are introduced so that the duct line plane-section drawing can be automatically drawn efficiently and rapidly, and the automation degree is high; the types of the duct lines and the type of the duct line points are automatically judged according to the duct line codes and duct line point codes, and duct line point objects are drawn in batches; the drawing forming efficiency is high, the process is simple, and drawing workload is greatly lightened.

The invention relates to a multi-robot path planning method based on a three-dimensional space intensive storage region. The method is characterized by comprising a main thread and a parallel executed planning thread which are arranged in a scheduling server, a collision prevention thread and an execution thread, wherein the main thread initializes and updates a three-dimensional net-shaped path diagram in real time; the planning thread divides tasks and task paths, and marks and sends the mask paths to an execution queue; the collision prevention thread divides conflict region and executes a command escape task before a command; and the execution thread sends an execution command to a mobile robot or an elevator robot. According to the method in which different kinds of robots operate in a relay mode to complete the task path together, automatic switch between the mobile robot and the elevator robot and the requirement for arbitrary access of goods across floors are achieved. The method has the advantages of being high in efficiency, reasonable, real-time and the like.

The invention discloses a commodity positioning and purchase guiding method and system. The method comprises the following steps: S100, a server judges whether a user enters a store according to a state that the user connects a store network; S200, the server judges whether an own database has an initial to-be-purchased commodity list, S300 is executed if yes, or otherwise S400 is executed; S300, the server obtains position related information of the user, and sends a path diagram to an intelligent terminal via a wireless node; and S400, the server analyzes human face related information obtained by a monitoring device, and sends commodity related information to the intelligent terminal via the wireless node. According to the commodity positioning and purchase guiding method and system disclosed by the invention, by positioning intelligently and accurately, and pushing a shopping mall map and commodity information, and according to user personal settings, the time that the user selects a commodity in a shopping mall when purchasing is shortened; and meanwhile, a user demand is intelligent analyzed, thereby helping the user to quickly purchase a needed article, and preventing the user from spending excessively; and thus, the user experience is improved.

The invention provides a method for training an acoustic model based on CTC (Connectionist Temporal Classification). The method comprises the steps of 1, training an initial GMM (Gaussian Mixture Model), wherein time point forced alignment on text annotation of training data by using the GMM to obtain a time region corresponding to each phoneme; 2, inserting a blank symbol associated with the phoneme behind each phoneme, wherein each phoneme has a unique blank symbol; 3, constructing a CTC forward and backward calculated search path diagram for a phoneme annotation sequence with the blank symbols being added by adopting a finite state machine; 4, restricting the appearance time range of each phoneme according to a time alignment result, pruning the search path diagram, and cutting off thepath with the phoneme position exceeding the time restrictions so as to obtain a final search path diagram required by calculating a network error in CTC; and 5, performing acoustic model training byadopting the combination of a time-delay neural network (TDNN) structure and the CTC method to obtain a final TDNN-CTC acoustic model.

The invention provides a data processing method. In the data processing method, a user access path diagram is constructed in a directed graph form according to access information of a user, the user access path diagram comprises nodes, directed edges, access amount of the nodes and the access amount of the directed edges, wherein each directed edge shows an access sequence of the two nodes connected with the directed edge, one initial node is selected from the user access path diagram as a starting point, all the nodes in the user access path diagram are passed, and weights of the directed edges are calculated and frequent items are determined; and similarity among users is calculated according to all the nodes in a preset queue, the access amount and the frequent items in the directed edges. The data processing method provided by the invention has the advantages that the directed edges in a user range path diagram are combined, sequence relation among articles is considered, similarity calculation dimensionality among different users is improved, improvement of similarity calculation accuracy can be facilitated, mean value of vectors in the dimensionality and fluctuation property are considered, compared with the traditional sparse matrix similarity calculation method, the calculation efficiency is greatly improved, and the accuracy of calculation result is also guaranteed.

The invention relates to a spraying digital workshop, including a spraying production line, a logistics system, a workshop monitoring and management system and a workshop information security intelligent protection system, which are all connected with a workshop manufacture execution system. The spraying production line is an operation environment provided for pretreatment, paint spraying, solidification and examination of products. The logistics system is used for achieving vehicle management according to tasks and path diagrams. The workshop manufacture execution system is used for making a spraying production plan, managing spraying operation and networking inter-system communication. The workshop monitoring and management system is used for timely managing, monitoring and alarming the spraying production. The workshop information security intelligent protection system is used for carrying out information protection for the spraying production line, the logistics system, the workshop monitoring and management system and the workshop manufacture execution system. The invention can comprehensively improve the automation level of the spraying process.

The invention provides a machine path planning method and a mobile robot. The method comprises the following steps: searching a to-be-processed region on an original grid map, and corroding the to-be-processed area to obtain a first map; processing the first map in a first preprocessing mode to obtain a second map which comprises a skeleton path diagram; finally determining the current position and the final position of a machine, and obtaining a planned path in combination with a first search rule and the skeleton path diagram. According to the technical scheme of the invention, an obstacle area on an original grid map is subjected to corrosion, and the skeleton path diagram of the map is extracted according to the first search rule, and the planned path is obtained by combining the firstsearch rule with the skeleton path diagram; the mobile robot is enabled to avoid obstacles during walking through the optimization software algorithm, the walking safety of the mobile robot is improved, the map established by the mobile robot is more stable, and the user experience is improved.

The invention provides a terminal and a self-rescue box for fire disaster self-rescue and a fire disaster self-rescue system. The terminal comprises a communication module, a GPS module, a GIS module, a storage module, a user interaction module and a control module. The communication module is used for carrying out information exchange with the outside. The GPS module is used for sending position information of the terminal to the outside through the communication module. Preset escape path diagrams are internally arranged in the GIS module, and escape paths are different according to different fire disaster situations. The storage module stores preset program instructions. The user interaction module is used for displaying escape information for users. The control module controls the user interaction module to display the corresponding escape information according to the program instructions in the storage module and the escape path diagrams internally arranged in the GIS module when the communication module receives the information. Thus, the users can escape quickly and effectively through the escape path diagrams in the terminal, and the GPS module can help the users to be saved by others.

The invention provides a storage method and a storage system for data stream driving calculation. The method comprises the steps that a task path diagram is constructed according to the incidence relation of the execution sequence of data flow driving calculation, and each task path comprises a plurality of task nodes related to input/output operation; a task path is selected as a first key path according to task execution duration based on the task path diagram; a priority label is marked for a task node on the first key path, and the priority label is scheduled and allocated to a corresponding computing node; and the computing node controls to execute the received task based on the priority label so as to realize data reading. According to the storage method and the storage system, the processing efficiency of data stream driving calculation can be improved.

The invention discloses a generation method and device for a propagation path diagram. The method comprises the following steps that: obtaining a starting point position where a propagation behavior happens for the first time, and labeling the starting point position as a root node; when a detection result shows that the propagation behavior happens again, obtaining a sharing link corresponding tothe propagation behavior; according to whether the sharing link corresponding to the propagation behavior is accessed by an access object or not, determining a node corresponding to the propagation behavior, wherein the node comprises a non-leaf node and a leaf node, the non-leaf node means that the sharing link corresponding to the propagation behavior is accessed by the access object, and the leaf node means that the sharing link corresponding to the propagation behavior is not accessed by the access object; and according to the root node and the node, generating the propagation path diagram. Through the method, the problem in the relevant art that the true situation of the propagation path diagram can not be visually reflected is solved.

The invention provides a process mining method based on a single-disease treatment process. According to the method, a series of logic optimization algorithms such as association rules, a genetic algorithm, an EM (expectation maximum) algorithm and the like are used for determining a core even item of a treatment process, then case samples are used for connecting scattered points occurring on a treatment path for drawing, a treatment path diagram is obtained through a connected graph after historical case sample drawing, then each event node on the treatment path diagram is expanded, a complete treatment event item set is formed, and the cost interval for each treatment event item set is estimated and a treatment event sequence of the whole treatment process is given; the mined treatment event sequence is subjected to rationality verification and evaluation, and the path is disassembled effectively.

An embodiment of the invention provides an unmanned vehicle tracking control method and device, equipment and a storage medium and relates to the field of unmanned vehicle driving. The method comprises the following steps: obtaining real-time position information of an unmanned vehicle; and carrying out position offset correction on a tracking path of the unmanned vehicle based on the real-time position information of the unmanned vehicle and a preset trajectory coordinate sequence, wherein the preset trajectory coordinate sequence is a map coordinate point of a section of continuous sequenceformed through conversion of a preset driving trajectory of the unmanned vehicle under a WGS-84 coordinate. By obtaining the real-time location of the unmanned vehicle and making real-time comparisonwith the coordinate point of the preset trajectory coordinate sequence, the method can timely correct the position offset of the unmanned vehicle in the driving process to ensure that the unmanned vehicle can always drive on a pre-planned optimum path diagram, thereby improving accuracy and precision of autonomous tracking of the unmanned vehicle and improving safety of unmanned vehicle driving.

The invention provides an automatic layout method and device of a branch cable, and is used for solving the problems that an optimal layout is difficult in obtaining and layout efficiency is low since the traditional branch cable layout technology does not consider the optimization of a branch point. The layout method comprises the following steps: according to a product CAD (Computer Aided Design) model and a wiring list, obtaining the position information of a branch cable plug-in terminal in a solution space; according to the position information of the branch cable plug-in terminal and a first preset algorithm, determining the position information of the branch point of the branch cable in the solution space; according to the position information of the branch cable plug-in terminal, the position information of the branch point and a second preset algorithm, generating a cable layout path diagram which covers the surface of an obstacle of the solution space; and according to the cable layout path diagram, obtaining a cable model, and outputting the cable model as a layout design result. The automatic layout method and device meets the adherence laying constraints of the cable, and greatly improves the efficiency and the success rate of the algorithm if being compared with the traditional algorithm.

The invention belongs to the technical field of a power system and especially relates to a power transmission line wildfire dynamic forecasting and early warning method based on sequential variation. The method is characterized by, to begin with, constructing a wildfire spreading ellipse model at the initial time t0 according to wildfire point initial position F0, wind direction and wind speed and slope information, and calculating wildfire maximum spreading speed Vmax at the current time; calculating the minimum distance D0 between the F0 and a power transmission line L at the time t0 and spreading speed VL0 in the direction, and determining power transmission line wildfire early warning grade at the time t0; determining speed of the fire point F1 in the power transmission line spreading direction at the next time t1; calculating a wildfire spreading model obtained from the time t1 and after a time period delta t; repeating the steps above until obtaining a series of wildfire point positions about time series; and when receiving fire point F0 spreading and ambient environment change information at any time, updating a new wildfire spreading path diagram in time starting from the time. The method can correct wildfire spreading forecasted paths in time, and has the advantages of small calculation amount and clear target and preventing simulation in irrelevant direction.

The invention discloses a search method for path planning, comprising the following steps: each individual in a population of a path planning scheme corresponding to a path diagram is initialized, wherein each individual S comprises a task loop sequence for planning each vehicle according to the path diagram, and each task loop comprises a task loop sequence corresponding to a vehicle; the local search with a traditional step length and the local search with a variable step length greater than the traditional step length are sequentially executed on each individual S to obtain a correspondinglocal optimal solution individual S'; all the local optimal solution individuals S' are ordered according to the total consumption of all the loops corresponding to each individual and/or the degree of violating capacity constraint of each individual; and the optimal path planning scheme of the path diagram is determined according to the sequence. The invention has favorable path planning performance.

The invention discloses a cable automatic laying design method based on coordinate identification. The cable automatic laying design method is characterized in that a path diagram of cable trenches are drafted according to a set scaling proportion; a layout diagram of positions of cabinets is drafted; information of all of cables in a substation is used to form a cable inventory, and is used as an input condition of cable laying; a projection point of every cabinet on the cable trench closest to the corresponding cabinet in a vertical direction is determined, and the path between the projection points of the cabinets on the head part and the end part of every cable is calculated according to the shortest path principle; the cable lengths corresponding to the above mentioned paths are calculated; the paths and the lengths of the paths are sequentially calculated, and the laying of the cables of the whole station is completed, and a laying result is finally output. The cable automatic laying design method is advantageous in that the cable laying efficiency and the cable laying accuracy are greatly improved, the number of the cables of every cable trench is calculated, and therefore the plot ratio of every cable trench is checked conveniently, and is used to guide the optimization adjustment of the laying scheme.

The invention discloses a scheduling method for AGV traffic control and a storage device. According to the application of the scheduling method, when AGVs have traffic jam, a center control center detects that two or more AGVs form a cycle in a network path diagram for waiting, by planning a driving path of the AGVs in the deadlock cycle or AGVs waiting beyond the deadlock cycle again, deadlock cycle leading to traffic jam is unlocked, and more AGVs are prevented from being jammed.

The invention relates to a combined clamp assembly optimizing method based on an assembly dimension path diagram. The specific process comprises the steps as follows: labeling of the elements of a combined clamp, that is, representing the clamp elements of the combined clamp by English letters in sequence from top to bottom or from left to right; automatic assembly of the combined clamp, wherein the process comprises the steps as follows: a user inputs the name or other characteristic attributes of a workpiece; a system starts performing case-based reasoning through the name or other characteristic attributes of the workpiece to search out a highly similar case; the dimensions of the clamp elements are reasonably modified according to the dimension of the processed workpiece, a plurality of schemes are given, the types and quantity of the elements are searched from an element library, whether the types and quantity of the elements meet the requirements of one scheme, if yes, the system gives the final scheme, otherwise, the system automatically eliminates the scheme. The method provided by the invention can effectively improve the assembly efficiency of the combined clamp.

The invention discloses a pole tower model selection method and device. The method comprises the steps of obtaining line condition parameters and model selection rule parameters input by a user; calculating spans of pole towers in need of model selection through location information of the pole towers in a line path diagram; selecting pole tower models which correspond to the pole towers and are matched with the line condition parameters, the model selection rule parameters and the spans from a pole tower database, and demarcating the pole towers according to the pole tower models. According to the scheme of the pole tower model selection method and device, in the pole tower model selection process, after the line condition parameters and the model selection rule parameters input by the user are obtained and the spans of the pole towers in need of model selection are calculated out, the line condition parameters, the model selection rule parameters and the spans are automatically matched with data content in the database, the pole tower models matched with the line condition parameters, the model selection rule parameters and the spans can be obtained, therefore by means of the model selection process, workload of the user is effectively lowered, the model selection efficiency is improved, and the model selection result is unified.

The invention relates to an industrial fixed-focus camera parameter calibration method based on a moving square target calibration object. According to the method, the square target calibration object is used for calibrating camera parameters, four target points are arranged on the square target calibration object, and the geometric centers of the four target points form a square. The method includes the following steps that (1) a camera coordinate system and an imaging plane coordinate system are built according to a pinhole model equivalent light path diagram; (2) a camera is used for collecting images of a target before and after horizontal movement to obtain pixel coordinates of the four target points in an imaging plane in each image, and the horizontal movement distance of the target is recorded; (3) iterative computation is conducted on camera parameters id according to the pixel coordinates and the horizontal movement distance in the step (2); (4) external parameters of the camera are calculated according to the camera parameters id. Compared with the prior art, the industrial fixed-focus camera parameter calibration method has the advantages of being rapid, simple, convenient, high in calibration result accuracy and the like.

The invention discloses an intelligent adaptive online learning and examination platform based on an artificial intelligence technology, and the platform mainly consists of an intelligent adaptive learning system and an intelligent examination system, and a double-layer knowledge graph and a learning path graph based on the double-layer knowledge graph are established in the intelligent adaptive learning system. The double-layer knowledge graph is used for describing and representing a relationship between knowledge points and is a quaternary combination system integrating course relationshipsamong subjects, relationships among the knowledge points, predecessor knowledge points and subsequent knowledge points, and the relationships among the knowledge points comprise knowledge point relationships in the subjects and knowledge point relationships among the subjects; the learning path diagram is constructed by taking knowledge points as vertexes and taking relations and weights among the knowledge points as connecting lines; and the learning path diagram provides a basis for the intelligent adaptive learning system to push corresponding knowledge point test questions and learning materials to students.

The invention provides a unit test automatic execution method based on a test case automatic generation algorithm. The method comprises the following steps of: preprocessing codes of a tested program,performing lexical analysis, establishing a path diagram for generating test codes, outputting a control flow diagram to a file, inserting fixed-point codes into the preprocessed codes, and compilingthe file into which the codes are inserted; and then generating a test case according to a test case automatic generation algorithm, calling a user code, traversing each code block of the user code,calculating an algorithm adaptation value of the fit, obtaining the fit adaptation value, generating a path corresponding to the test case, and exiting when judging whether the path is fully covered or the operation is overtime. The method is suitable for unit testing in the software development process, a test case can be automatically generated through a computer program for code testing, a testreport can be automatically generated, and the human resource cost and the time cost are greatly reduced.

An operating program writing system (10) comprises a block storing part (11) which stores a plurality of blocks constituting work units of an operating program, a selecting part (12) which selects any number of blocks from the plurality of blocks, a displaying part (13) which displays a path diagram which is comprised of the any number of blocks and arguments which are contained in the blocks, a selecting and inputting part (14) which selects at least one block among the any number of blocks and inputs the arguments of the at least one block, a running part (15) which arranges run buttons for the respective any number of blocks and runs blocks which correspond to the run buttons, and a writing part (16) which uses the any number of blocks and the input argument of the at least one block as the basis to write an operating program.