48results about How to "Efficient planning" patented technology

The invention relates to a biological antenna model-based multi-robot underwater target searching method and device. After an underwater detection ship carrying multiple underwater robots reaches a target searching area, all the underwater robots are driven to move by biological antenna models and send detected environmental information data to the underwater detection ship; according to the environmental information data, the underwater detection ship updates a raster map in real time and broadcasts to all the underwater robots; when one certain underwater robot finds a target, information is broadcast to the other underwater robots and the underwater detection ship; the underwater detection ship grabs the target by a mechanical arm after arriving the position of the target, and the other underwater robots board on the underwater detection ship after moving to the position of the target. The invention provides the method and the device which have the advantages that the robots are driven to move by the biological antenna models so as to complete a target searching task by the multiple robots in an unknown environment, and the target searching efficiency of the underwater robots can be greatly improved.

The invention discloses a medical mobile robot path planning method, system, and equipment based on RRT-Connect improvement, and a medium. According to the method, the distance between a starting point and a target point is judged according to a distance cost function; and a second starting point and a second target point with equal distances are sampled simultaneously between the starting pointand the target point through a middle node sampling function, so that the improved algorithm can simultaneously grow six random trees from the starting point, the target point, the second starting point and the second target point, and each random tree simultaneously and quickly expands towards the respective target direction. Meanwhile, a self-adaptive obstacle avoidance resampling principle is added into the algorithm; when a sampling point of the middle node sampling function collides with an obstacle or is located in the obstacle, sampling of the node is abandoned, and then resampling is carried out at the center positions of the node and an adjacent node according to the sampling position of the middle node. Therefore, problems that in a complex environment, a medical mobile robot ishigh in path planning time cost, and a target point is difficult to find in a short time are solved.

The invention relates to a trajectory planning method for variable speed drop of composite press. The trajectory planning method comprises: first, the differential command signals are input in a proportional pilot control valve to control the circulation drop of the press and collect signals of the movable beam displacement, return cylinder pressure and instruction; then, the movable beam displacement is treated by differential method to get the falling velocity signal of movable beam and the mathematical model of valve flow is obtained by training the collected parameters by neural network algorithm; then, combining the force balance equation of the return cylinder and the continuity equation of the flow, a comprehensive mathematical model of the falling system is built; finally, with the error integral of the return cylinder pressure as the optimization index, the improved genetic algorithm is used to optimize the cubic wire interpolation trajectory, and the control trajectory of the moving beam falling is obtained. The trajectory planning method for variable speed drop of composite press adopts the movable beam falling instruction path planning method can effectively avoid the impact of rigid and flexible impact system, restrain the system pressure fluctuations and improve the efficiency and accuracy of trajectory planning activities to enhance the transmission beam falling, improving engineering adaptability.

The invention provides a large-scale electric power system node load flow computing method. A conventional admittance matrix and parameter vector data are stored in a key value pair mode; each Mapper reads a key value pair <key, value> from a K-V database to act as input; each Mapper computes a Jacobi matrix element according to the input; the output results of all the Mapper are ordered for preparation of merging of Reducer; the Reducer merges the Jacobi matrix elements outputted by all the Mapper so that a matrix and a correction equation are formed; the equation is solved and a voltage phase angle is corrected; and the next round of iteration is performed through the correction results. According to the load flow computing method, the Jacobi matrix elements are parallel computed on multiple computers via a cloud computing platform so that superposition of computing power of multiple physical computers is realized, and computing efficiency, fault tolerance of the cloud platform and reliability of the computing results are enhanced.

The invention relates to a domestic appliance for processing a laundry 2 having a control device 3 and at least one operating device 7, 9 comprising a data unit and operating devices 1, 6, 10, whereinat least one operating device 7, 9 is provided For wirelessly exchanging data with the control device 3, wherein a processing program database is stored in the data unit, wherein at least one operating device 7, 9 is configured to allow input of at least one user schedule BT1, wherein at least The operating devices 7, 9 are further configured to perform data matching between the at least one userschedule BT1 and the handler database according to the allocation routine and to determine at least one handler B and at a predetermined time before the at least one user schedule BT1 The user is output information within the interval delta t. The invention also relates to a method for operating the household appliance and a system comprising an external user terminal device and the household appliance.

The invention discloses an apparatus and method for route planning based on a PM2.5 healthy trip. The apparatus comprises three parts of a vehicle-mounted PM2.5 detector, an information transmission module, and a server terminal, wherein the information transmission module includes a GPS module and a GPRS module; the server terminal includes a route planning module; and the PM2.5 detector is mounted on a floating vehicle and is connected to the information transmission module, which is connected to the server terminal. A mobile device of a user can easily access data in the server terminal by means of a browser. According to the method, an improved Dijkstra algorithm is adopted, an integrated PM2.5 concentration is mainly taken as impedance, and a minimum total concentration is taken as a target. A healthy trip is planned according to an optimized function taking a PM2.5 optimal route as the target.

The invention discloses a mobile robot autonomous recharging method based on upper and lower computer collaborative planning, and the method comprises the following steps: 1, enabling a mobile robot to start a recharging mode, enabling the mobile robot to send a starting signal, and enabling a charging pile to send an infrared signal after receiving the starting signal; 2, judging a recharging process; 3, entering the recharging process; and 4, after the short-range recharging process is completed, enabling the mobile robot to send out a closing signal, and enabling the charging pile to stop sending out the infrared signal after receiving the closing signal; a mobile robot autonomous recharging system based on upper and lower computer collaborative planning comprises the mobile robot and the charging pile, the mobile robot comprises an upper computer, a lower computer, an infrared receiving module, a mobile robot charging electrode and a mobile robot Bluetooth module, and the chargingpile comprises a control module, an infrared transmitting module, a charging pile charging electrode and a charging pile Bluetooth module.

The invention discloses a load flow analysis method of a direct current transmission feed end islanding system. The method includes the following steps that (1) an alternating current system and a direct current system are divided; (2) the load flow of the islanding alternating current system is solved; (3) out-of-limit judgment is conducted on the reactive power exchange capacity of the alternating current system and the direct current system, if reactive power exchange exceeds a normal operation set value, the amplitude of a commutation busbar voltage is adjusted, the step (2) is executed again to continue, and otherwise the step (4) is executed; (4) the number of reactive power compensation groups is determined; (5) the reactive power consumption of a direct current convertor station is determined; (6) converter firing angle amplitude limiting inspection is carried out, if the amplitude is within a normal operation range limiting value, the step (7) is executed, otherwise the number of the reactive power compensation groups is added, and the step (5) is executed again; (7) a commutation tap is determined; (8) load flow convergence is judged; (9) the direct current frequency limiting value function is set. By means of the load flow analysis method of the direct current transmission feed end islanding system, the practical situation of the direct current transmission islanding system can be reflected more accurately, and planning and operating of the direct current transmission islanding system can be guided more efficiently.

The invention discloses a robot route planning method based on a fruit fly optimization algorithm, and belongs to the technical field of artificial intelligence and robot control. A fruit fly algorithm is optimized through a fusion genetic mechanism, interlace operation, mutation operation and other operations are added in the individual search process, the high convergence rate is kept, and meanwhile higher global search capacity is realized. According to the optimized algorithm, the optimal route plan of a robot can be efficiently obtained, the work and production efficiency of the robot route planning system can be improved in various scene application environments, and practicability is high.

The invention relates to a mobile robot full-coverage path planning method, a chip and a robot, and the method comprises the following steps: S1, the robot detects an obstacle in a cleaning region, generates a map containing obstacle information, and divides the map into a plurality of sub-blocks; S2, the robot plans a cleaning path in the sub-block; and S3, the robot determines the initial sub-blocks and performs cleaning, then calculates the path cost between the sub-blocks, selects the next cleaning sub-block according to the path cost, and cycles the step until cleaning of all the sub-blocks is completed. According to the new full-coverage path planning method, the calculation complexity can be reduced, and the coverage efficiency of the robot is improved.

The invention provides an autonomous ship route planning method based on a D*Lite optimization algorithm. The method comprises the steps that S1, in the navigation process of an autonomous ship, obtaining environment information according to a preset time interval, and according to the currently obtained environment information and the environment information obtained last time, if the environmentinformation in a current target map area is changed, judging whether a target route point of the autonomous ship is changed or not; and S2, if the target path point is changed, updating the target route point, taking the current route point as a navigation starting point, determining a termination point according to the updated target route point, and planning a route for the autonomous ship to continue to sail by adopting the D*Lite algorithm according to the environmental information, the navigation starting point and the termination point in the current target map area, wherein the targetmap area is a map area influencing route planning between the current route point and the target route point. When the position of the target route point is changed in the navigation process of the autonomous ship, the route can be dynamically replanned in real time.

The invention relates to a method for drawing a reference surface of a single H-type steel member. The method includes steps of (1) assembling a datum line to lead out a special drawing device; (2) drawing a web datum line of the single H-type steel member, to be specifically, drawing the web datum line on a side web of the single H-type steel member by means of the Pythagorean theorem; (3) leading out and drawing a datum line of the upper half of a wing flange of the single H-type steel member; (4) leading out and drawing a datum line on the lower half of the wing flange and the back of the web, connecting and closing all the datum lines to form the reference surface, and completing drawing of the reference surface of the single H-type steel member. The method is simple in processing and efficient in drawing, drawing accuracy is improved, drawing cost is reduced and assembly and mounting quality of the member is effectively guaranteed.

The present invention provides an efficient urban planning system. The system comprises an image information collection device, an urban integration information obtaining device and an urban planningdevice. The image information collection device is configured to obtain urban remote sensing images; the urban integration information obtaining device is configured to obtain classification information of urban targets according to the remote sensing images; and the urban planning device is configured to perform urban planning according to the classification information of the urban targets. Theefficient urban planning system can achieve efficient urban planning.

This invention relates to method for distributing pilot in code division multiple access system, which comprises the following steps: a) analyzing the potential network scale and extension demand, making sure the covering radius of the minimum area of compact district and non compact district; b) according to the actual complex degree, making sure the increment of the pilot and the pilot differential value of several small area in one base station, then dividing several pilot group; c) getting the pilot multiple distance; d) setting the grid of the pilot multiple distance area, distributing pilot group and realizing pilot multiple using between areas. Said method can plan the pilot of huge-size network in one time.

A working-hours schedule for users using a device is inputted from an input unit (120). A planning unit (112) plans, in advance, work events required to be performed upon use of the device. A schedule generation unit (113) generates, from the working-hours schedule inputted from the input unit and the work events planned by the planning unit, a chronological work schedule as a list of work to be performed by users within time periods in which said users are in charge. The work schedule generated by the schedule generation unit is displayed on a display (130). As a result, work to be performed by users within time periods in which said users are in charge can been seen in advance, and work can be planned efficiently in accordance with individual working-hours schedules, and performed in full.

The invention discloses a vehicle transportation route planning method and device, a storage medium and a terminal. The method comprises the steps of determining a starting point position and a terminal point position, and searching a starting point road section and a terminal point road section of the starting point position and the terminal point position, when the road section identifiers are different, initializing a search unit deduplication set, determining search nodes according to the starting road section and determining end nodes according to the terminal road section, querying a target road section communicated with the search node, and generating a first search unit, a first weight value and a second weight value based on the target road section, when the first search unit does not exist in the deduplication set, putting the first search unit and the previous search unit in a route planning queue and recording in the search unit deduplication set, executing route planning queue dequeue based on the first weight value and the second weight value to generate a second search unit, and when the rear node of the road section corresponding to the second search unit is a terminal node, generating a transportation route of the vehicle according to the second search unit. The route planning accuracy can be improved.

The invention discloses a smart alarm clock based on public traffic and real-time road network information at the same time. The public traffic and the real-time road network information are obtainedaccording to a set alarm clock time, a set starting place and a set destination, the current traffic condition from the starting place to the destination is judged via cloud computing processing, a transfer route or a driving route is calculated, the necessary time is predicted, and a ringing time of the smart alarm clock is obtained according to the predicted time plus a reasonable preparation time and a reserved system error time. The smart alarm clock disclosed by the invention improves the experience and the practicability, the public traffic and real-time road network information are integrated, and the starting place and destination addresses and other information of all alarm clock users under big data are combined to guide the urban traffic, which is conducive to relieving the traffic jam, efficiently planning the travel of people and improving the city image.

The invention relates to a method specially used for drawing a datum plane of combined H-steel. The method includes the steps that first, a drawing device specially used for leading out datum lines of a middle flange plate is assembled; second, a drawing device specially used for leading out datum lines of side flange plates is assembled; third, datum lines of webs on the two sides of the middle flange plate of a combined H-steel component are drawn; fourth, the datum lines of the middle flange plate of the combined H-steel component are drawn; fifth, the datum lines of the upper half portions of the side flange plates are led out and drawn; sixth, the datum lines of the lower half portions of the side flange plates are led out and drawn; seventh, the datum lines of the lower portion of the middle flange plate of the combined H-steel component are drawn. The method specially used for drawing the datum plane of the combined H-steel is easy to machine and efficient in drawing, the drawing precision is improved, the drawing cost is reduced, and the assembly and installation quality of the component is effectively guaranteed.

The invention discloses a bus line generation method. The method comprises steps: a bus network model is built based on actual road network data; source stop information and destination stop information are acquired, and a source bus hub and a destination bus hub are determined; a bus line between the source stop and the source bus hub and a bus line between the destination stop and the destination bus hub are determined; according to the corresponding relationship between the bus hubs and the lines, a bus line between the source bus hub and the destination bus hub is determined; and accordingto the bus line between the source stop and the source bus hub, the bus line between the destination stop and the destination bus hub and the bus line between the source bus hub and the destination bus hub, a bus line between the source stop and the destination stop is outputted. The invention also provides a bus line generation device capable of realizing the above method. Thus, the bus line canbe generated quickly and efficiently.

The invention belongs to the technical field of ship shipping, and particularly relates to a ship navigation path planning method, which comprises the following steps of: 1, establishing a mathematical model for ship path planning under a ship route, including establishment of an environment model, establishment of a ship route model and establishment of an evaluation standard of a path planning algorithm; 2, researching the marine stall characteristic of the ship, including the influence of the marine environment on the ship speed, the establishment of a meteorological environment, the research of the stall characteristic of the meteorological environment on the ship motion, and the establishment of a calculation method of a critical speed; step 3, establishing a particle swarm algorithm, including establishment of the particle swarm algorithm, establishment of an immune algorithm, combined application of the immune-particle swarm algorithm and simulation analysis of the immune-particle swarm algorithm; and 4, simulation and result analysis of a route design algorithm are carried out, the structure is reasonable, the convergence speed of the obtained particle swarm optimization mixed with the immune algorithm is higher, and the global search performance and the solving process are the best.

The invention is applicable to the technical field of data set construction methods, and provides a data set construction method and device based on an unmanned aerial vehicle instruction sequence andterminal equipment, and the method comprises the steps: S1, obtaining the instruction sequence, and dividing the instruction sequence into N groups, N being a positive integer; S2, acquiring sensor data when the unmanned aerial vehicle executes the ith group of instruction sequences, i being a positive integer smaller than or equal to N, and an initial value of i being 1; S3, mapping the sensor data into a data image of a preset pixel, or mapping into a curve image taking time and the sensor data as variables; and S4, when i is smaller than N, enabling i to be equal to i + 1, returning to S2for circulation, obtaining a data image set and / or a curve image set after circulation is finished, and constructing the data set based on the instruction sequence of the unmanned aerial vehicle. According to the invention, the general data in the sensor can be converted into visual data, so that the sensor data of the unmanned aerial vehicle can accurately feed back an actual scene, and a reasonable unmanned aerial vehicle instruction sequence is favorably constructed.

The invention relates to an optical sensor for distance and / or speed measurement, with a light source module for producing a light signal, and a detection module for detecting a light signal, characterised in that the light source module comprises a modulator for modulating the light signal, the modulator being configured such that the light signal contains identification information following themodulation, and the detection module being configured to detect and identify indentification information of the detected light signal.

The invention provides a method for selecting a travel destination conforming to poem situations. Firstly, a poem database and a scenic spot database are established; the levels of the poems and the scenic spot intention categories are set; then poems to be visited, months, expected time consumption and expected money consumption are input; the control mechanism is used for comparing the input parameters with the database; then, journey screening and sorting are carried out in two stages, in the first stage, only poems and months are considered, in the second stage, poems, months, expected consumption time and expected consumption amount are considered, different journey schemes are screened according to different requirements, and the preliminary landscape journey and the whole-situationlandscape journey are simulated in sequence. According to the method for selecting the travel destination conforming to the poem situation, several ideal travel plans can be quickly and accurately calculated for a client for selection, and the method is convenient to use.

The invention relates to a biological antenna model-based multi-robot underwater target searching method and device. After an underwater detection ship carrying multiple underwater robots reaches a target searching area, all the underwater robots are driven to move by biological antenna models and send detected environmental information data to the underwater detection ship; according to the environmental information data, the underwater detection ship updates a raster map in real time and broadcasts to all the underwater robots; when one certain underwater robot finds a target, information is broadcast to the other underwater robots and the underwater detection ship; the underwater detection ship grabs the target by a mechanical arm after arriving the position of the target, and the other underwater robots board on the underwater detection ship after moving to the position of the target. The invention provides the method and the device which have the advantages that the robots are driven to move by the biological antenna models so as to complete a target searching task by the multiple robots in an unknown environment, and the target searching efficiency of the underwater robots can be greatly improved.

The invention discloses a method for intelligently moving teeth step by step according to the initial position and the final position, based on a computer, including: step S1, input parameters; step S2, for each tooth, set the position from the initial position to the final position At least one stage; step S3, for each stage of each tooth, obtain the position and posture of each step of the tooth in the transformation process; step S4, use the tooth number as the row number, and take the number of steps as the vertical number, set The position and posture of each step of the teeth are filled into the table items to obtain a step-by-step table of teeth; step S5, starting from the first column, calculate whether each tooth collides with adjacent teeth, if there is a collision, cancel the collision, and execute step S6 , if there is no collision, execute step S6; step S6, repeat step S5 for the next column until the last column of the tooth step table. The invention simplifies the operation of technicians and improves the step-by-step efficiency.

The invention relates to a trajectory planning method for variable speed drop of composite press. The trajectory planning method comprises: first, the differential command signals are input in a proportional pilot control valve to control the circulation drop of the press and collect signals of the movable beam displacement, return cylinder pressure and instruction; then, the movable beam displacement is treated by differential method to get the falling velocity signal of movable beam and the mathematical model of valve flow is obtained by training the collected parameters by neural network algorithm; then, combining the force balance equation of the return cylinder and the continuity equation of the flow, a comprehensive mathematical model of the falling system is built; finally, with the error integral of the return cylinder pressure as the optimization index, the improved genetic algorithm is used to optimize the cubic wire interpolation trajectory, and the control trajectory of the moving beam falling is obtained. The trajectory planning method for variable speed drop of composite press adopts the movable beam falling instruction path planning method can effectively avoid the impact of rigid and flexible impact system, restrain the system pressure fluctuations and improve the efficiency and accuracy of trajectory planning activities to enhance the transmission beam falling, improving engineering adaptability.

The present invention provides an automatic analysis device. A work schedule of a user using the device is input from an input unit (120). A planning unit (112) plans in advance work events required for using the device. A schedule creation unit (113) creates a time-series work schedule as a list of work to be performed by the user within the assigned time, based on the work schedule input from the input unit and work events planned by the planning unit. The work schedule created by the schedule creation unit is displayed on a display unit (130). Thereby, it is possible to predict in advance the work that the user should perform within the responsible time, and it is possible to efficiently plan the work by referring to the work schedule of the user, and to carry out the work without missing the work.