362results about How to "Reasonable planning" patented technology

The invention discloses a broadband mobile communication method based on a multi-beam GEO satellite. The broadband mobile communication method based on the multi-beam GEO satellite mainly comprises the steps that spot beams at the Ka frequency band are adopted by NG+1 bidirectional feed links between a satellite-borne device and a ground station device, so that space division multiplexing is achieved for NG+1 times; a cellular network with NB cells is formed through NB bidirectional user links between the satellite-borne device and NT mobile user terminals based on an NB-beam satellite antenna, and space division multiplexing is achieved for NB/4 times with every four cells as a group, so that a 260 MHz bandwidth resource can be shared. The invention further discloses a broadband mobile communication system based on the multi-beam GEO satellite. According to the broadband mobile communication method and system based on the multi-beam GEO satellite, any one of the NT mobile user terminals can serve as an independent multimedia communication terminal as well as a local area network connected with a public Internet and can have access to a remote URL through the satellite links of the system, and an Internet service on the level similar to the 4G mobile communication level can be provided for a large number of people on various vehicles.

The invention discloses a sensor self-checking system of an intelligent driving vehicle. The sensor self-checking system is an integrated multi-sensor self-checking system, when states of all sensors of the intelligent driving vehicle are detected, self-checking results of all the sensors are integrated, the checking results are classified, sense redundancy brought by multiple sensors with the same classification is utilized, sensor fault testing and detection are further conducted, and the comprehensive sensor state of the intelligent driving vehicle is reasonably judged. The invention further provides an intelligent driving vehicle multi-sensing fusing system, the sensor self-checking system completes self-checking and state judgment of an integrated sensor, and self-checking information sent by the sensor self-checking system is utilized to be subjected to information fusing processing at the same time, according to a dynamic result of sensor self-checking and with the combination of a planning controlling algorithm, a sensitive degree of misinformation and a missing report are subjected to intelligent fusing, and the intelligent driving vehicle is helped to make a more reasonable plan and controlling strategy.

The invention relates to an energy saving system of a belt conveyor and an energy-saving control method of the energy saving system of the belt conveyor. The energy saving system of the belt conveyor comprises a system starting button, a belt conveyer, a material detection device, a signal transformer, a belt conveyer drive motor, a frequency converter and a programmable controller. The belt conveyer is provided with a conveyer belt and the belt conveyer drive motor. The material detection device is installed right belowunder the conveyer belt and connected with the programmable controller through a signal line. The system starting button is connected with the programmable controller which is connected with the belt conveyer drive motor through the frequency converter by controlling the signal line. The belt conveyer system realizes the automatic control state of ''high speed with materials and low speed without materials''. According to the energy saving system of the belt conveyor and the energy-saving control method of the energy saving system of the belt conveyor provided by the invention, the idle time and idle energy consumption of the belt conveyer can be effectively reduced, so that the system mechanical loss generated in the time is reduced, the work efficiency is remarkably improved, the electric energy loss is reduced, and the purpose of saving energy and reducing consumption is realized.

The invention relates to the field of power system stability research, in particular to a simulation collocation method for an oscillation disconnection device of a power system. The method comprises the steps: A. building a simulation data model; B. building a research failure set; C. performing simulation calculation of power grid stability after failure, obtaining out-of-step characteristics of a power grid, determining an oscillation center, and summarizing oscillation center moving laws; D. performing simulation calculation of acting characteristics of the oscillation disconnection device after the failure, and judging acting correctness of the oscillation disconnection device; E. putting forward a preliminary collocation scheme of the oscillation disconnection device; F. studying coordinating relations among stability control measures; and G. putting forward the final collocation scheme of the oscillation disconnection device by combination with the step C, the step D, the step E and the step F. The simulation collocation method has the advantages of being strong in maneuverability, comprehensive in considered factors and reasonable in scheme, and has high practical value and good market prospect.

The invention relates to a terminal area prevailing traffic flow recognizing method based on track spectral clusters. The method includes the steps of firstly, analyzing a given airport pavement to obtain flight path data, and conducting dividing to obtain feature track points and normal track points; secondly, setting up a space rectangular coordinate system; thirdly, putting forward an occupation degree concept according to the distance between a track and the center of a space grid, and enabling the occupation degree concept to be used for representing the occupation degree of the track in the space grid; fourthly, setting up an inter-track overall similarity model on the basis of a track partial similarity model; fifthly, constructing an Laplacian similarity matrix, and then analyzing the clusters through the spectral cluster algorithm; sixthly, conducting prevailing traffic flow recognition on the clusters obtained in the fifth step through the nuclear density estimation method; seventhly, displaying the recognition result in a displaying and interaction module. The terminal area prevailing traffic flow recognizing method has the advantages that a prevailing traffic flow track and an abnormal track can be simultaneously obtained through the spectral cluster algorithm, therefore, related personnel are assisted in scientifically and reasonably planning a terminal area and improving airport entering and leaving air lines, and the capacity of the terminal area is improved.

The embodiments of the invention relate to the technical field of communications, and particularly relate to a data writing method and a relevant device for reducing the time delay of the data writing process. In the embodiments, after a server network card receives a data writing request command sent by a client server, on the one hand, the server network card directly analyzes the data writing request command, and returns a first data reading command to a client processor, so as to store data to be written into a storage area of the server network card; and on the other hand, the server network card transmits the data writing request command to the server, so that when a second data reading command returned by the server is received, the data to be written can be directly transmitted from the storage area of the server network card to a storage area pointed by a second target address.

The invention discloses an AGV path planning method and device based on a topology map, which can modify the passability among respective nodes in the topology map according to actual conditions, andreasonably and effectively plan the path. The method comprises the following steps: acquiring the topology map corresponding to the scheduling system; preprocessing the topology map according to the motion state of the all the AGVs in the topology map and the location of the occupied nodes in the scheduling system, and modifying the node information in the topology map to obtain a modified topology map; determining a starting point and an ending point of the current AGV in the modified topology map, calculating a total generation value of the nodes on different paths from the starting point tothe ending point according to the node information in the modified topology map, and performing path planning on the current AGV according to the calculated total generation value of the nodes.

The embodiment of the invention provides a speed planning method and apparatus for an autonomous vehicle. The method comprises: before lane changing of an autonomous vehicle, a plurality of to-be-selected speed trajectories are generated for the autonomous vehicle, wherein the to-be-selected speed trajectories include to-be-selected speeds corresponding to a plurality of time points within a planned time range; a predicted speed and a predicted position corresponding to an obstacle at a plurality of time points are obtained; according to the to-be-selected speed trajectories as well as the predicted speed and the predicted position, a cost function value of each of the to-be-selected speed trajectories is calculated; and the to-be-selected speed trajectory with the minimum cost function value is selected as a planned speed trajectory of the autonomous vehicle. Therefore, the speed of the autonomous vehicle before lane changing can be adjusted and the distance between the autonomous vehicle and the obstacle of a target lane is increased to create a safety distance between the lane changing opportunity and the lane changing, so that the lane changing success rate is increased.

The invention provides a wireless sensor network node deployment method based on particle swarm optimization and a mutation operator. All sensors are randomly distributed in a target area, the initial coordinates of each sensor are taken as a particle initial position in a particle swarm algorithm, and the coverage rate of a wireless sensor network is taken as a target adaptive value function of the particle swarm algorithm. Through the particle swarm algorithm, a global historical optimal solution is obtained, an optimal value of a particle is obtained according to the optimal solution, and the optimal value is a best position of deploying a sensor in the target area. According to the method, through improving an inertia weight calculation method, the local search ability of the algorithm is improved, through giving a mutation probability to a particle individual, an individual historical optimal solution is recalculated, a condition that a whole algorithm falls into a local optimal solution is effectively avoided, the utilization rate of the sensors is improved, and the cost of constructing a wireless sensor network is reduced.

The invention discloses a cell load prediction method based on improved clustering and long-term and short-term memory deep learning. The method is characterized by dividing the residence categories through an improved clustering algorithm and according to the influence factors of different types of residential areas; using an LSTM algorithm to establish a corresponding prediction model for each type of residential area, and carrying out Dropout processing on the LSTM to avoid the local optimization, thereby obtaining the predicted load value, reducing the power utilization difference betweenthe self installation capacity of the residential area and the actual load and realizing the reasonable planning of the transformers in a court. By carrying out the improved clustering analysis according to each attribute value of the newly-built cell to obtain a cell category, and carrying out the load prediction by utilizing the prediction model of the corresponding category, the business expansion installation capacity is estimated, and the court construction is guided.

Disclosed is a hydraulic type automatic controlled robot for cleaning the oil storage tank, the robot includes a machine frame, a rotary table at the front part on the upper end of the machine frame, and a pitching rotary table connected with the rotary table, a searchlight, a spray head and a CCD camera are parallel-arranged on the pitching rotary table, a hydraulic line is in connection with two rotary table hydraulic swing cylinders and the spray head, a spade board is arranged at the front end of the lower part of the machine frame for connecting with the machine frame rotor axis mechanism and is connected with the hydraulic cylinder, crawler mechanisms of the hydraulic motor transmission is arranged on the two sides at the lower part of the machine frame, a hydraulic system includes a hydraulic pump, the hydraulic source, a hydraulic motor on the machine frame, a swing cylinder, the hydraulic cylinder, and the hydraulic pipeline and a protection hydraulic pipeline arranged at the middle part of the rear end of the machine frame and an electrical wire of an integrated transistor that connected with each other; a control system includes a control board of a PLC control center, a circuit board, a control panel, a control cabinet, an electromagnetic valve and a motor; the PLC control board and the circuit board are designed to be positioned in the control cabinet, and the control panel controls the working of the robot, the hydraulic pump and the mud pump, and ensures the treatment and outer carrying of the sludge in the storage tank.

The invention provides a simulation configuration method for constant-value parameters of frequency control devices in weak interconnection power grids. According to the characteristics that the frequency changes quickly and the amplitude is large after an isolated grid runs due to a reason that the weak interconnection power grids are serially faulted, acting characteristics of frequency control devices such as a primary frequency modulation control device of a steam turbine generator set, a primary frequency modulation control device of a water turbine generator set, a steam turbine overspeed protection control device, a high-frequency generator tripping safety automatic device, a low-frequency load shedding safety automatic device and a low-voltage load shedding safety automatic device are comprehensively considered from two aspects, i.e. isolated grid frequency decrease and increase. A scientific and reasonable simulation configuration method for the constant-value parameters of the frequency control devices in the weak interconnection power grids is made and has the advantages of high applicability, comprehensive considered factors, reasonable scheme and the like.

The invention discloses a planning method of a motion path of a wafer cutting machine tool. The method comprises the following steps: (1) a wafer is driven by a Y shaft motor moving platform to conduct line cutting motion along the vertical direction; (2) when the wafer reaches the end portion of the cutting line of the wafer along the vertical direction, a circular interpolation module is started, an X shaft motor moving platform is in linkage with the Y shaft motor moving platform so as to drive the wafer to conduct circular motion; (3) circular interpolation is finished, the wafer reaches the end portion of the cutting line along the adjacent vertical direction so as to conduct cutting to another cutting line of the vertical direction; (4) the above steps are repeated so as to finish all line cutting of the vertical direction; and (5) all cutting of transverse cutting lines is conducted by utilizing similar operation. According to the planning method of the motion path of the wafer cutting machine tool, the cutting path of the wafer is planned reasonably, time waste caused by excessive miscut when laser beams are at two ends of the wafer is reduced; meanwhile, the X shaft motor moving platform and the Y shaft motor moving platform operate simultaneously in the circular motion of a miscut area, a large amount of time is saved, and working efficiency is improved.

The invention belongs to a plant breeding method and in particular relates to a breeding method for a high-yield and high-resistance green Chinese onion variety applicable to multi-season cultivation. The breeding method comprises the following processing steps of: breeding crossing parents, carrying out a matching breeding test for cross combination, propagating the parents and propagating a generation F1. According to the breeding method provided by the invention, the problems that varieties are complex, characters of a strain degenerate, individual uniformity is poor, resistance is low and all-year production can not be realized, and the like in the prior art can be solved; the bred green Chinese onion hybrid is high in yielding capability, high in lodging resistance and flooding tolerance and applicable to multi-season cultivation, and disease resistance is obviously enhanced; and application amount of pesticide is reduced, production cost is reduced, land cropping index is increased, environmental protection is facilitated, pollution is reduced, vegetable basket safety is guaranteed, and income is increased.

This invention relates to a method for providing load control to services of users including: first of all, determining user ID information for users sending service requests and corresponding service ID information to set up the load control strategy information of the services of the users based on the user ID information and the corresponding service ID information, then carrying out load control management to the services based on said load control strategy information, which can manage different services of a same user separately, such as providing different QoS and charging, deleting or modifying a service for a user.

An embodiment of the invention provides an intelligent port vessel management method and system. The method includes establishing an intelligent port vessel management system comprising a road side unit, an onboard unit, an optical transceiver, a positioning inductor, an information display screen and a branch center, and as the vessels enter the channel of the port, the positioning inductor induces the fact that the vessels enter the port; the positioning inductor sends a notification message that the vessels enter the port to the optical transceiver, and after receives the notification message, the optical transceiver notifies the road side unit and the onboard unit to perform two-way valid verification; after the two-way valid verification is passed, the branch center distributes port resources for the vessels. According to the arrangement, the DSRC (dedicated short range communication) technique and the intelligent management system are adopted to achieve the intelligent and automatic port vessel management, port running efficiency and port resource utilization rate are improved, running cost of the port is lowered, operation safety of the port is enhanced, the port resources are reasonably planned and the like.

The invention relates to the field of civil engineering structure damage identification, in particular to a civil engineering structure damage pre-warning method in consideration of a temperature influence. An AR model in time series analysis and principal component analysis in multivariate statistical analysis are utilized, and a standard deviation control chart is combined for structure pre-warning research. Firstly, accelerated speed response data before and after structure damage are fit by the AR model, and a model coefficient is extracted; secondarily, the influence of temperature on the AR model coefficient is removed through principal component analysis; and finally, damage pre-warning is performed by using a standard deviation control chart. The pre-warning method is rigorous in theory, novel, reasonable in scheme and high in operability. The civil engineering structure damage pre-warning method has the advantages that accelerated speed response is directly used, a finite element model and modal parameters are not required, and the method belongs to a data driving method and is suitable for performing structure health monitoring in real time; and simultaneously, according to the method, under the condition of temperature change, the damage pre-warning is successfully performed through the anti-noise capacity.

The invention discloses a UAV selective obstacle avoidance system and method based on binocular vision and three-axis pan/tilt, and the method comprises the following steps of opening eight-way ultrasonic and binocular vision, and determining a flight direction angle of the UAV; rotating the binocular camera to the flight direction by the three-axis pan/tilt for opening, and monitoring the flightdirection environment in real time; acquiring depth information; comprehensively analyzing the orientation of the obstacle and the distance between the obstacle and the UAV based on the obstacle imagecaptured by the binocular camera and the pitch angle and roll angle acquired by the UAV gesture recognition module; judging whether to avoid the obstacle by a tree plum control panel; opening a selective obstacle avoidance mode; and planning the surrounding environment of the UAV and the eight-way ultrasonic obstacle avoidance. The method provided by the invention not only greatly reduces the cost, but also observes the surrounding environment at 360 degrees without dead angles and reduces the load when the UAV is autonomously flying. The use of the three-axis pan/tilt removes the offset of the pitch and roll angle of the UAV on the pixel flight frame during flight and ensures flight safety.

The invention relates to a new energy vehicle technology, in particular to a method for determining a battery charging strategy of a battery replacing station, a control device for implementing the method, the battery replacing station containing the control device, and a computer storage medium for implementing the method. The method includes the following steps: the number of current serviceablebatteries of the battery replacing station, the charging rate of a charging machine, the time required by completing replacement operation of vehicle batteries and the remaining electric quantity ofthe replaced batteries of the vehicle are obtained; and according to the number of the current serviceable batteries, the charging rate of the charging machine, the time required by completing replacement operation of the vehicle batteries and the remaining electric quantity of the replaced batteries of the vehicle, the target charging electric quantity of the batteries lacking of electricity by the charging machine is optimized, so that the battery replacing station provides uninterrupted battery replacing services as much as possible.

The invention belongs to the technical field of voltage and reactive control for an electric system and particularly relates to a method for controlling voltage reactive variables of a high-voltage power grid transformer substation. The method comprises the following steps of: A, determining an application condition of a transformer element; B, establishing a mathematical model for the transformer element; C, taking a mathematical expression reduction result from the mathematical model; D, determining the voltage reactive variables of the transformer substation and calculating the relationship among the reactive variables; E, determining a control range of the voltage reactive variables of the transformer substation; and F, providing a control strategy for the voltage reactive variables of the transformer substation. The control method disclosed by the invention has the advantages of strong operability, complete consideration and rational scheme and has high practical value and good market prospect.

The invention provides a low-altitude barrier avoidance method of an unmanned aerial vehicle based on ultrasonic waves and binocular vision. The method comprises the following steps that starting of abinocular camera and emission of eight-way ultrasonic waves are conducted synchronously; the binocular camera acquires an image in front of the unmanned aerial vehicle, if a barrier in front of the unmanned aerial vehicle is not detected, the binocular camera continues to collect images, if a barrier exists in front of the unmanned aerial vehicle, a depth value of the barrier is acquired by utilizing a disparity map; the real perpendicular distance and horizontal distance of the barrier are acquired according to the attitude compensation pitch angle and roll angle of the unmanned aerial vehicle; whether or not a threshold value is exceeded is judged, and a corresponding barrier avoidance mode is selected according to specific information of the barrier; once the eight-way ultrasonic wavesdetect the barrier, corresponding binocular vision is started for detecting the barrier, and then selective barrier avoidance is conducted according to the above steps. By means of the provided barrier avoidance method, whether or not barrier avoidance is needed is quickly judged, specific positions of the barriers are quickly judged, the interference of the ground and walls can also be avoided,and accurate barrier avoidance of the unmanned aerial vehicle is achieved.

The invention discloses a multi-rotor unmanned aerial vehicle cloud deck obstacle avoidance system and method based on binocular vision. The method comprises the following steps that a binocular camera and eight paths of ultrasonic waves are started at the same time; the binocular camera is installed on a cloud deck to obtain an image in front of an unmanned aerial vehicle, and the cloud deck is used for compensating the pitch angle, the roll angle and the yaw angle all the time, so that the binocular camera is kept in the position consistent with the horizontal and flying directions; if an obstacle is detected in front, the depth value of the obstacle is obtained by utilizing the parallax image; the vertical distance of the obstacle is obtained according to the pitch angle, the roll angleand the depth value of the unmanned aerial vehicle, and whether the vertical distance is larger than a threshold value or not is judged; a corresponding obstacle avoidance mode is selected accordingto the specific information of the obstacle; and at the same time, in case that the eight ultrasonic waves detect the obstacle, the cloud deck obtains the obstacle position and whether the obstacle avoidance is needed or not is judged by the binocular vision, thereby improving the safety of the system. The invention provides the unmanned aerial vehicle obstacle avoidance method capable of rapidlyjudging whether obstacle avoidance is needed or not, correcting the distance error when the unmanned aerial vehicle is inclined and avoiding ground surface and wall interference.

The invention discloses a navigation route recommending method, system and devices. The navigation route recommending method includes: by a navigation server, determining route nodes where users needto pass from a starting point to a destination point according to information of the starting point and the destination point in a navigation request sent from a navigation client side; to optional two road nodes, matching saved data of users' common routes which are acquired and reported by the navigation client side; according to a matching result and sequence of the road nodes, acquiring commonroutes between the optional two road nodes of the available matched common routes; when there are no available common routes between the optional two road nodes, calculating planned routes between the optional two road nodes; combining the acquired common routes and/or planned routes according to sequence of the nodes to obtain a recommended route from the starting point to the destination point;by the navigation server, pushing the acquired recommended route to the navigation client side. The The navigation route recommending method, system and devices can recommend driving routes which aremore reasonable according to users' preferences well and achieve finer granularity of matching.