11results about How to "Smooth path" patented technology

The utility model relates to a heat dissipation type new energy automobile battery shell, relates to the technical field of battery shells, and aims to solve the problem of poor heat dissipation of a battery shell, the heat dissipation type new energy automobile battery shell comprises a main shell body, the two ends of the main shell body are open, heat dissipation end covers are arranged at the two ends of the main shell body, and any heat dissipation end cover comprises a base and a flow guide outer cover; the base is arranged on the side, close to the main shell, of the flow guide outer cover, the base and the flow guide outer cover are each of a hollow structure and communicate with the interior of the main shell, flow guide through holes are formed in the four side walls of the base in a penetrating mode, and a fan module is arranged in the main shell. And a fan notch for air flow to circulate is formed in the main shell. The battery pack has the effects of effectively absorbing heat generated by the battery and quickly dissipating the heat.

The invention provides a multi-source sensor obstacle recognition and obstacle avoidance method for low-altitude logistics, and relates to the technical field of low-altitude logistics. The method comprises the following steps: S1, synchronously acquiring data through a laser radar and a binocular camera, respectively performing distortion correction, exposure control and depth map generation on binocular vision data, and performing segmentation denoising and Kalman-particle hybrid filtering denoising on point cloud data; s2, adopting a YOLOv5s network to extract a barrier feature vector; s3, carrying out obstacle fusion association; S4, fusing historical features and laser radar coordinates based on an LSTM model, and predicting a future trajectory of a dynamic obstacle; and S5, generating an obstacle avoidance path in combination with an A * algorithm and an artificial potential field method, and correcting the obstacle avoidance path in real time. The problems of missing detection or misjudgment of low-texture obstacles, sensor data fault, dynamic obstacle prediction deviation and path oscillation are solved, and the obstacle recognition precision and the obstacle avoidance reliability are improved. The method is high in real-time performance and adapts to low-altitude logistics complex scenes.

The utility model discloses a hoisting type heat recovery fresh air machine which comprises a machine shell, an outdoor air inlet and an outdoor air outlet are formed in the side wall of the machine shell, and a first inserting groove and a second inserting groove are formed in the machine shell. The first inserting groove is located in the inner side of the outdoor air inlet and communicated with the outdoor air inlet. The second inserting groove is positioned on the inner side of the outdoor air outlet and is communicated with the outdoor air outlet; a first filter element and a second filter element are respectively inserted into the first inserting groove and the second inserting groove; outdoor fresh air passes through the outdoor air inlet and the first filter element and then enters the machine shell. And indoor air in the machine shell passes through the second filter element and then is exhausted from the outdoor air outlet. The hoisting type heat recovery fresh air machine can solve the problems that when the filter element of the hoisting type fresh air machine is replaced, the cover plate needs to be dismantled, and operation is inconvenient, and the filter element replacement process is simpler, more convenient and faster.

The utility model relates to the technical field of pest control box, disclose a corn is with field pest control box, including main box, the bottom fixedly connected with the chassis of main box, the top of chassis is provided with automatic mechanism, the top fixedly connected with the funnel frame of main box, the inner wall of main box is provided with the falling mechanism, automatic mechanism includes the feed tank, the bottom fixedly connected in the top of chassis of feed tank, the inner wall fixedly connected with the timing telescopic link of feed tank, the top fixedly connected with the bottom plate of timing telescopic link, the top fixedly connected with polyethylene pad of bottom plate, the inner wall of feed tank is set up with the storage groove. In the utility model, through material flow transfer timing telescopic link setting time telescopic, drive bottom plate to lift, polyethylene pad reduces bottom plate corrosion, through the conveying pipe with the storage tank in material outward transfer, support plate and sliding page cooperation simultaneously, guide material flow direction, reduced artificial cost.

The invention discloses an optimal path dynamic planning method for a crawler-type unmanned vehicle field environment, and the method comprises the steps: 1, cost calculation: discretizing the environment where an unmanned vehicle is located into a grid map comprising a plurality of grids, and taking the central point of each grid as a path planning node; the method comprises the following steps: firstly, executing a dynamic grid granularity self-adaptive operation driven by a slip risk, and then calculating the moving cost from a current node to any subsequent node; step 2, calculating and updating the cost value of the current node based on the movement cost and the cost value of the subsequent node, and determining an optimal subsequent node K, the cost value being based on the estimated cost value calculated by the subsequent node; step 3, a turning limit checking step: after the optimal subsequent node K is determined, checking and setting a limit mark for judging whether the current node S turns or not; step 4, starting from the starting node, sequentially checking the turning limit mark of each node s; and performing a path reconstruction step until the target node is reached.

The application provides a single battery and a battery pack. According to the single battery provided by the application, when uncontrolled gas production occurs in the electrode assembly of the single battery, especially when the electrode assembly produces gas violently, the single battery provided by the application not only guides the gas to the explosion-proof valve through the exhaust hole, but also guides the exhaust gas to the explosion-proof hole of the explosion-proof valve through the gas guide groove on the top cover sheet, so that timely exhaust is ensured, the internal gas pressure of the single battery is prevented from being too large, and the risk of explosion of the single battery is reduced.

The utility model provides a low-loss lens optical fiber array unit, which comprises a substrate, a cover plate and an optical fiber, the optical fiber is arranged between the substrate and the cover plate, the front end of the substrate is provided with a total reflection surface and a lens, the optical fiber reflects light signals to the lens through the total reflection surface, the front end of the substrate is provided with a light-permeable convex part, and the convex part is provided with a lens. The total reflection surface is arranged on the first side of the lug boss; the optical fiber is arranged on the second side of the lug boss; optical fiber matching paste is filled between the end surface of the optical fiber and the surface of the lug boss; the utility model can reduce the energy loss of optical signals and improve the performance of an optical system.

This invention provides a collaborative path planning method for ground-based multi-unmanned systems in leader mode. It addresses two scenarios: turning and straight-line movement of the leader node. For turning, a consistency deviation index parameter is introduced to adjust the position of unmanned nodes, implementing a "shortcut" behavior to keep up with the leader node as much as possible while maintaining the basic formation. For straight-line movement, since the leader node and unmanned nodes have the same speed, the algorithm only fine-tunes the angle to reduce formation distance deviation. The autonomous path planning algorithm proposed in this invention, which allows unmanned nodes to follow manned nodes in weak network environments, can adaptively adjust the formation by changing its own direction of travel while maintaining the formation to the greatest extent possible. The planned path is smooth and can meet the special requirements of turning during unmanned system movement.

A mechanical arm path planning method and system based on adaptive expansion sampling belong to the technical field of path planning, and solve the problems of slow sampling rate, slow convergence speed and poor initial path quality caused by too random sampling area and unsuitable expansion step length selection when planning the path of the mechanical arm under the prior art; the adaptive expansion sampling strategy provided by the present application introduces a target bias force to correct the growth direction of the random tree based on the F-RRT* optimization algorithm, so that it is biased towards the target point, optimizes the inflection point, makes the generated path smoother, introduces the concept of target point gravity deviation, adaptively expands the strategy according to the complexity of obstacles in the environment, and expands with a dynamic step length, improves the stability and precision of the trajectory, and reduces the length of the generated path, the sampling times and the convergence time.

The invention discloses an unmanned cluster collaborative path planning method fusing an improved RRT * algorithm and quadratic programming, and belongs to the technical field of path planning. A dynamic sampling strategy is adopted, and a sampling area is adjusted according to the direction of a target point where obstacles are distributed; designing a self-adaptive step length adjustment mechanism, and optimizing the step length according to the search state and the environment complexity; an enhanced reconnection mechanism is constructed, and the search range of high-quality father nodes is expanded to reduce the path cost; a greedy algorithm simplification strategy is introduced, and redundant nodes are proposed to shorten the path length. In an unmanned aerial vehicle cluster collaborative path planning scene, an improved RRT * algorithm is combined with an anti-collision strategy and a time collaborative model to construct a collaborative path planning strategy, and a quadratic programming optimization method is integrated, so that the global optimality and collaborative safety of a cluster path are guaranteed.

The embodiment of the specification discloses a preparation method of a carbon fiber-tungsten sulfide-graphene compound for a sodium ion battery, which comprises the following steps: S1, dissolving sodium tungstate, hydroxylamine hydrochloride, thiourea and sodium hydroxide in deionized water, and uniformly stirring to prepare a reaction solution; s2, mixing the reaction liquid obtained in the step S1 with carbon fibers and graphene in a reaction kettle, and carrying out hydrothermal reaction at a constant temperature; s3, filtering, cleaning and drying a product obtained in the step S2 to obtain a composite material precursor; and S4, carrying out calcination treatment on the composite material precursor in an inert gas atmosphere at 800-950 DEG C to obtain the carbon fiber-tungsten sulfide-graphene composite material.