38results about How to "Realize reasonable planning" patented technology

The invention relates to an electric vehicle charging station stationing method based on traveling behavioristics. The electric vehicle charging station stationing method comprises the following steps: a step S1 of analyzing behavior characteristics of electric vehicle users; a step S2 of carrying out grid processing to a regional map and determining optimal routes; a step S3 of establishing a spatial behavior characteristic model of the electric vehicle users, and determining whether charging demands are needed; a step S4 of optimizing addresses of the electric vehicle charging stations by means of a genetic algorithm; and a step S5 of dividing charging station service areas based on the Voronoi thought, and determining energy demands of the charging stations. By establishing the travelling spatial behavior model of the electric vehicle users and drawing an electric vehicle spatial charging demand graph, a reference base is provided for stationing the electric vehicle charging stations, reasonable programming of the charging station addresses is achieved, the charging station service revenue is increased, and therefore the problem that because the addresses of the charging stations are not distributed uniformly, promotion and development of the electric vehicles are limited.

The invention provides a method for tracking control of preset performance in a magnetic hysteresis compensation-containing motor servo system. The control method comprises the following steps: 1, establishing a magnetic hysteresis-containing motor servo system model; 2, designing a magnetic hysteresis compensation-containing preset performance tracking control method; 3, designing system parameters to meet the minimum system tracking error. According to the method, a motor servo system is used as a study object, the system parameter uncertainty, the nonlinear frictional characteristic, the unmodeled outside interference and the magnetic hysteresis nonlinearity are considered, an excellent tracking controller is designed, a magnetic hysteresis model containing linear items and bounded interference items is established, and the controller is conveniently designed; aiming at the system parameter uncertainty and the unmodeled interference items, relatively good parameter estimation and robust bounded stabilization are achieved by an adaptive robust control method.

The invention provides a motion track planning method and system for a carrying robot. The motion track planning method comprises the following steps: identifying stations of the same type in a factory, obtaining effective stations, obtaining geographical location information of each effective station in the factory as well as information of driving regions in the factory and component stacking state information of each effective station, carrying out priority ranking on each effective station, and generating a motion track of the carrying robot according to the geographical location information of each effective station, the information of the driving regions in the factory and a priority ranking result. In the whole process, the priority ranking is carried out on each effective station based on the component stacking state information of each effective station, and the motion track is generated based on the location information of the effective stations (stations of the same type), the information of the driving regions in the factory and the priority ranking, so that reasonable planning on the motion track of the carrying robot can be realized.

The invention discloses a monitoring and inquiring system for classified garbage cans based on the Internet of Things. The monitoring and inquiring system comprises a stronghold analysis module, a stronghold distribution module, a stronghold monitoring module, a server, a cleaning early warning module, a garbage disposal module and a stronghold adjustment module. The camera is used for shooting avideo that a thrower throws the garbage after the garbage is bagged; recording the light and shadow distance between the thrower and the garbage carried by the thrower in the throwing process; when the light and shadow distance between the thrower and the garbage in the hand in the video exceeds a preset threshold value, the data point analysis module processes the light and shadow distance into one throwing frequency, and the data point analysis module records the proportion of harmful garbage, recyclable garbage, dry garbage and wet garbage which are collected by the data point classification garbage can for a preset frequency; the instruction of adding other types of garbage cans to the stronghold classification garbage cans is sent to a manager through the Internet of Things by the stronghold adjustment module, reasonable planning of the positions of the garbage cans is achieved, the problem of unreasonable distribution of the stronghold classification garbage cans is solved, and the urban garbage transfer efficiency is improved.

The invention discloses a tumor treatment system using optical surgery navigation. The tumor treatment system comprises a CT machine, an ultrasonic instrument, an electromagnetic positioner, a treatment bed, an optical surgery navigation instrument, gamma radiation treatment equipment, a puncture device, a mechanical arm, a fixed turntable and a control table, wherein the optical surgery navigation instrument uses a camera vision system; an RGB camera is used as image output equipment; an optical signal is converted into an electric signal for completing image collection and output; the systemmainly comprises three modules including an optical imaging part, a photoelectric converting part and an electric circuit part, wherein the optical imaging part comprises an optical lens and an imaging plane; after light rays projected on a focus are reflected and are refracted by the optical lens, the image of the focus is projected on the imaging plane of the RGB camera; through the photoelectric converting part, the optical signal is converted into the electric signal; the weak electric signal is magnified by the electric circuit part, and is uploaded onto the control table through a USB interface; the control table is used for image treatment to obtain a focus target spot position.

The invention discloses a cell reselection parameter optimizing method and device, relates to the technical field of communication, and solves the technical problems that different cells perform reselection according to the same reselection parameter in the prior art. The method includes: respectively determining the maximum adjusting range of cell reselection thresholds under different environments according to the wireless transmission features and different terminal performances under the different environments; determining the cell reselection thresholds under the different environments according to the maximum adjusting range; aiming at the cell reselection threshold under one environment, acquiring the reselection times among cells on cell PS domain services under the environment; adjusting the cell reselection threshold according to the reselection times. The method is mainly applicable to cell reselection.

The invention relates to a regret avoidance-based user-level comprehensive energy system optimization method. According to the method, a regret avoidance method is adopted to optimize a traditional extended planning model taking optimal system expected cost as a target. A natural gas price change scene of a user-level comprehensive energy system and operation characteristics of energy coupling equipment and energy storage equipment in the natural gas price change scene are deeply analyzed; based on a system comprehensive total cost net present value in a planning period, an extended planning model taking minimum system comprehensive regret value as an objective function and taking system operation and equipment output characteristics as constraint conditions is constructed, the uncertaintyof natural gas price is fully considered by the model, the obtained planning result is the optimal construction scheme of the system; and compared with a traditional method, the method has the advantages that the result, accuracy and rationality are improved.

A regional integrated energy system planning and operation joint optimization method considering multiple uncertainty belongs to the field of power grids, and comprises the following steps: constructing a regional integrated energy system structure based on an energy hub; establishing a mathematical model of each device; establishing a regional integrated energy system planning and operation joint optimization model; putting forward a regional integrated energy system planning and operation joint optimization method considering multiple uncertainties to obtain the optimal capacity configuration and operation plan of the regional integrated energy system in the uncertain environment; and verifying the rationality and effectiveness of the proposed regional integrated energy system planning and operation joint optimization model and strategy considering the multiple uncertainties. The optimal capacity configuration scheme and the operation strategy of the regional integrated energy system can be obtained, so that the economical efficiency and the reliability of planning and operation of the system under the supply and demand uncertainty condition are guaranteed, and the influence of uncertain factors on the system planning strategy and the economic operation plan is reflected more comprehensively. The method can be used in the field of power supply system planning operation and optimization.

The invention discloses a multi-robot cooperative task allocation method and device and a medium. The method comprises the steps that a central robot determines a plurality of terminal robots in communication connection with the central robot; receiving the task information through a built-in first communication node, wherein the task information is sent by a first robot in the plurality of terminal robots through a built-in first task node; adding the task information to a task pool, and performing planning calculation on a plurality of to-be-processed tasks contained in the task pool through a dynamic linear algorithm to determine a second robot capable of executing a work task corresponding to the task information; and sending the task information to the second robot through a built-in second communication node, so that the second robot can receive the task information through a built-in second task node. Through setting the communication connection relationship between the central robot and the plurality of terminal robots and deploying the corresponding nodes respectively, the rapid acquisition, transmission and distribution of tasks are guaranteed.

The embodiment of the invention provides a data transmission method and system and edge service equipment, and relates to the technical field of data transmission. The data transmission method comprises the following steps: when target data sent by data acquisition equipment is received, acquiring data packets corresponding to the target data; setting a current priority weight coefficient value of each data packet every preset time interval, and selecting a plurality of target data packets from a plurality of to-be-transmitted data packets based on the current priority weight coefficient values of the plurality of to-be-transmitted data packets and the sizes of the data packets, and respectively distributing the target data packets to data transmission queues of corresponding data transmission interfaces; and controlling each data transmission interface to sequentially transmit the target data packet in the corresponding data transmission queue to the central service equipment. According to the invention, the data loss risk in the data transmission interface is reduced, and reasonable planning of data packet transmission in the edge service equipment is realized.

The invention provides a commodity display position recommendation method, device and system and a storage medium. The method comprises the following steps that: a server can calculate to obtain commodity attention data; and the server determines attention value ranking information of each commodity according to the commodity attention data. Each piece of display position information is stored inthe server. The server recommends the corresponding commodity to each display position according to the attention value ranking information and the importance degree of the display position. Accordingto the method, the reasonability and objectivity of commodity display planning are improved.

The invention discloses a cabinet door plate machining system and a material distributing and drilling line arrangement method thereof. The machining system comprises a feeding line, one or more material distributing and drilling lines, a material combining and trimming line and a handle mounting line which are arranged in sequence. The material distributing and drilling line arrangement method comprises the steps that all the material distributing and drilling lines are arranged in parallel in a tree diagram mode, and the output speed of to-be-machined plates at the discharging ends of all the material distributing and drilling lines and the output distance between every two adjacent to-be-machined plates on each material distributing and drilling line are coordinated. Through arrangementof the multiple material distributing and drilling lines, the drilling machining efficiency of the to-be-machined plates is improved; and meanwhile, the consumption rate of the to-be-machined plateson the feeding line by the material distributing and drilling lines can be increased, the working saturation of workers at the discharging ends of the material distributing and drilling lines is improved, and the output quantity of the to-be-machined plates at the discharging ends of the material distributing and drilling lines is guaranteed.

The invention relates to an equipment state monitoring system based on data training. The system comprises: a plurality of monitoring units, which are disposed on to-be-monitored units, and are used for monitoring operation states of the to-be-monitored units in real time; a storage unit, which is used for storing action coefficients among the monitoring units and determining to-be-monitored units which are running at present; a control unit, which is connected with the storage unit and the monitoring units, and determines monitoring time and monitoring strength of other to-be-monitored unitsaccording to states of the currently running to-be-monitored units and the action coefficients of the to-be-monitored units and other monitoring units. By monitoring states of to-be-monitored units in real time and determining monitoring time and monitoring strength of other to-be-monitored units during monitoring according to the monitored real-time states and action relationship among the to-be-monitored units and other to-be-monitored units, and accurate monitoring of the to-be-monitored units is achieved, so that the working state scheduling of the monitored units is more reasonable and efficient.

The invention discloses an unmanned aerial vehicle robust trajectory planning method in a non-deterministic interference environment. The method comprises the following steps: firstly, determining a starting point, a terminal point, authorized flight parameters, estimated radiation source parameters, a flight energy consumption upper limit and environmental parameters of an unmanned aerial vehicle; constructing a trajectory planning problem of a unmanned aerial vehicle system; then, adopting an S-Procedure algorithm and a continuous convex optimization algorithm to iteratively optimize the problem until the algorithm converges; and based on the interference environment information, enabling a ground control unit to use the above algorithm to plan the flight trajectory of the unmanned aerial vehicle before flight, and completing the robust trajectory design of unmanned aerial vehicle communication. The unmanned aerial vehicle robust trajectory planning method has the beneficial effects that the unmanned aerial vehicle robust trajectory planning method can improve the quality of received signals on the premise of meeting constraints.

The present application discloses a virtual live broadcast method, device, device, and storage medium. The method includes: polling the list of live broadcast tasks used to maintain the status of the live broadcast tasks of the network live broadcast platform, when the virtual live broadcast tasks in it meet the preset broadcast start conditions , trigger the start broadcast event of the virtual live broadcast task; create a corresponding live broadcast room in response to the start broadcast event, and associate the live broadcast room with the virtual anchor account to which the virtual live broadcast task belongs; The push stream address of the stream, call the streaming media resources preconfigured for the virtual live broadcast task to push to the stream push address; add the access entry of the live room to the live room list for user access. This application realizes the seamless access of virtual live broadcasting tasks in the webcasting platform, which is especially helpful to increase the overall active user traffic of the webcasting platform during non-prime time, and to improve the traffic monetization effect.

The invention relates to a method and device for prolonging the service life of a hard disk, computer equipment and a storage medium. The method comprises the following steps: acquiring fault information, determining a fault sector according to the fault information, and identifying a sector number of the fault sector; judging the sector type of the fault sector according to the sector number; and if the sector type is a first type of sector, performing sector repair on the fault sector by using a standby sector. By adopting the method, the problem that the hard disk is eliminated in advance due to unreasonable distribution of the standby sectors when the standby sectors of the hard disk are used for repairing the fault sectors can be solved.