12results about How to "Flexible planning" patented technology

The invention discloses a production workshop intelligent material distribution method based on a time-varying station set, and the method comprises the steps: setting a station reorder point value interval based on the station information and distribution vehicle information of a production workshop, calculating a station service time window, and dynamically dividing the time-varying station set of each distribution period according to a cross relation; overall planning of a distribution path is realized by coordinating distribution decision-making elements and carrying out collaborative optimization with an adjacent distribution station set; and meanwhile, constructing a distribution optimization model under the time-varying station set, and performing hierarchical solution by adopting a double-layer genetic algorithm to obtain a joint distribution scheme including station reorder points and corresponding material distribution plans. According to the method, the time-varying characteristics of the distribution station set are considered, and the distribution path is dynamically planned according to the distribution decision-making elements, so that the distribution scheme can plan the dynamic change of the material demand of each station, the total cost of material distribution is reduced, and intelligent planning of the distribution scheme is realized.

The utility model relates to the technical field of table and chair sets, and discloses a stainless steel table and chair set with folding and unfolding functions, which comprises a supporting base, a first connecting block and a cleaning component, a connecting seat plate is fixedly connected in the supporting base, a supporting clamp is arranged at the top of the supporting base, a supporting clamp is arranged in the supporting clamp, and the cleaning component is arranged in the supporting clamp. The cleaning assembly is arranged in the supporting table top, the first connecting block is fixedly connected to the supporting base, an adjusting support is rotationally connected into the first connecting block and fixed to the bottom of the supporting table top, and a second connecting block is fixedly connected to the bottom of the supporting table top. The supporting table top rotates to drive the sliding limiting blocks and the rotating supports to be adjusted, so that the adjusting supports move to the outer portion of the supporting base to achieve storage deformation, the occupied space can be reduced through storage, flexible planning and using of the space are guaranteed, and the device is convenient to store, carry and store; and the storage difficulty and cost are reduced.

This utility model discloses a small tripod turnstile mechanism and aluminum disc connection and positioning device, including a mechanism part, an aluminum disc gate arm part, and a control part. The mechanism part includes a main shaft with a cam mounted at one end and a chuck with three slots mounted at the other end. The aluminum disc gate arm part includes an aluminum disc mounted on the cam by three bolts spaced 120 degrees apart, and three rollers mounted on the aluminum disc. The aluminum disc has three first bosses that cooperate with the first grooves on the cam to achieve positioning. The control part includes a main board and an electromagnet-driven locking arm for controlling the engagement and disengagement of the locking arm with the slots to achieve locking and unlocking of the mechanism. This utility model ensures accurate positioning and reliable connection between the aluminum disc and the mechanism through the cooperation of the bosses and grooves and the evenly distributed bolt connection. It can also be equipped with a quick-disassembly roller structure for easy maintenance and replacement.

The present invention relates to the technical field of operation distance control methods, and specifically to an overhead line engineering machinery operation safety distance control method based on high-precision positioning and laser point cloud data, comprising the following steps: establishing a comprehensive spatial model including line direction, line height and three-dimensional terrain; mapping a planned construction path into the comprehensive spatial model, and calculating the minimum distance between the position of the engineering machinery and the overhead line in the entire planned construction path, obtaining the maximum operation range of the engineering machinery, and performing comparison; parsing the content of the construction project plan, analyzing the minimum distance between the engineering machinery and the overhead line, judging the actual operation range of the engineering machinery at the position, and performing comparison; monitoring the construction path of the engineering machinery in real time during construction to avoid deviation from the planned construction path; the present invention effectively prevents the risk of collision between the engineering machinery and the overhead line during the construction process, ensures the precise control of the construction path, and improves the overall construction safety.

The invention relates to the technical field of machine learning, and discloses a model hot start method and device, computer equipment, a medium and a program product. The method comprises the following steps: starting a target server; a target model runs in the target server; the path file and the model file of the target model are located in the same directory; modifying the path file in response to a front-end model switching instruction; when it is detected that the path file is updated, updating the target model according to the modified path file; and restarting the target server based on the updated target model, so that the updated target model runs in the restarted target server. According to the scheme, when the model switching function is achieved, manual switching is not needed, the server does not need to be stopped, model hot start is achieved, and the scheme is flexible and high in efficiency.

The invention discloses a transformer substation unmanned aerial vehicle routing inspection waypoint autonomous planning method. The method comprises the following steps: step 1, routing inspection equipment three-dimensional space position mapping; step 2, autonomously generating an initial inspection waypoint; step 3, waypoint collision detection and adjustment; step 4, adaptively adjusting the shooting angle; and 5, autonomously planning a routing inspection route. The system is high in autonomy degree, saves cost, is high in quality of shot pictures, and improves the inspection efficiency. By utilizing a waypoint autonomous planning algorithm, a three-dimensional collision detection technology, a target identification technology and other technologies, automatic and flexible planning of unmanned aerial vehicle routing inspection waypoints is realized, the routing inspection efficiency is improved, the flight safety of the unmanned aerial vehicle is ensured, and diversified routing inspection requirements of a transformer substation are met.

The embodiment of the present invention discloses an all-fiber non-magnetic isolator and a preparation method thereof, wherein the isolator comprises an optical fiber, on which a 45° tilted fiber grating and a 45° incident λ / 4 fiber wave plate are formed. The present invention utilizes precise ultraviolet light control to complete the production of the tilted fiber grating and the fiber wave plate online on the same optical fiber, realizes the control of polarization conversion, thereby achieving the goal of low cost and miniaturization of reflected light isolation, and solves the problems of high cost, large volume, low reliability, etc., which require the introduction of magneto-optical materials in traditional reflected light isolation.

Embodiments of the present application provide a vehicle driving route determination method and device, a storage medium and an electronic device, wherein the method comprises: determining a demand matrix, wherein the demand matrix comprises a time sequence, a station set and a demand set, the time sequence is a time interval in which an object has a demand for a ride, the station set comprises stations in a predetermined area that allow a target vehicle to arrive, and the demand set comprises a plurality of objects issuing a demand for a ride that meets the time sequence and a demand quantity with the same demand for a ride; extracting a demand for a ride between any two stations within a sliding time window from the demand matrix; determining a line search queue based on the demand for a ride between any two stations; and determining a target driving route from the line search queue. Through the present application, the problem of low planning efficiency and poor flexibility of the vehicle driving route in the related art is solved, and the effect of flexibly and efficiently planning the driving route of the vehicle is achieved.

The present disclosure provides a path planning method and device, equipment and an autonomous vehicle, relates to the technical field of artificial intelligence, in particular to the technical field of autonomous driving. The specific implementation scheme is: performing secondary planning processing on a first path segment to obtain a first planned path, performing curve fitting processing on a second path segment to obtain a second planned path; based on the first planned path and the second planned path, generating a plurality of candidate paths; in the plurality of candidate paths, a target planned path is selected to control the vehicle to travel from a starting point to an ending point along the target planned path. The technical scheme provided by the present disclosure ensures the efficiency of path planning while improving the accuracy of path planning.

The invention discloses a path planning method and device, a storage medium and a robot, relates to the technical field of robots, is applied to robots, and comprises the following steps: updating a constructed local map by using identified perception information to obtain a current local map; determining a current working scene of itself, and determining a target point in the current local map based on the current working scene; and performing path planning based on the current local map, the current position of the robot and the target point so as to travel from the current position to the target point according to a planned target path. Thus, the robot does not need to set a global map and a corresponding advancing path, the local map is directly updated through the point cloud information, recognized in real time, of the surrounding environment, and the driving path can be flexibly planned in real time according to the change of the surrounding environment and the current working scene of the robot in the driving process; the failure rate of path planning can be reduced.

The invention belongs to the technical field of robots, and provides a multi-arm transfer robot which comprises a moving mechanism, a first guide rail is mounted at the top of the moving mechanism, a main rod is erected at the top of the first guide rail, a second guide rail is mounted at the top of the main rod, and a wireless controller is mounted at the top of the second guide rail. Gear grooves are formed in the first guide rail and the second guide rail, and gear tables are mounted on the inner walls of the gear grooves; the traction mechanisms are mounted between the first guide rails and the gear grooves, and a lifting mechanism is mounted between the traction mechanisms; the multiple carrying mechanisms are installed on the first guide rail and the second guide rail, and the wireless controller controls operation of the traction mechanism, the lifting mechanism and the mechanical arm on each carrying mechanism. Through mutual cooperation of a single group of carrying mechanisms or a plurality of groups of carrying mechanisms, carrying and complex arrangement and combination of a single object and a plurality of objects can be achieved, and the device is more flexible.