24results about How to "Reduce detours" patented technology

The invention provides an efficient article sorting method and system of an intelligent warehousing system, and relates to the technical field of intelligent warehousing systems.The method comprises the steps that warehousing real-time environment data and a target image set for target objects to be sorted are obtained; inputting the target image set into a preset object classification model to determine a target classification corresponding to the target object; determining at least one candidate free goods allocation matched with the target classification, and determining a target transportation path of the target object according to each candidate free goods allocation, the storage real-time environment data and the target classification; determining a target clamping strategy matched with the target classification; and the target path and the target clamping strategy are sent to the AGV and the mechanical arm correspondingly, so that the AGV and the mechanical arm cooperatively sort the target objects. Therefore, the intelligent level of the intelligent warehousing system is remarkably improved, and automatic sorting tasks for various objects can be completed more intelligently.

The invention relates to the technical field of inter-city cargo splicing and loading, in particular to an inter-city cargo splicing and loading transportation path optimization algorithm based on large model optimization, and solves the problems that in the prior art, an optimization algorithm based on a large model generally relates to a complex calculation process and needs a large amount of calculation resources and time, and especially in a real-time path planning scene, the calculation process is complicated. And the calculation delay can influence the transportation efficiency. The invention discloses an inter-city cargo splicing transportation path optimization algorithm based on large model optimization. The algorithm comprises data collection and preprocessing, model construction and training, algorithm optimization and verification, path optimization calculation, result evaluation and feedback, and algorithm deployment and application. According to the method, various possible transportation paths are analyzed and compared through an algorithm, the optimal path is selected, unnecessary detour and waiting time is reduced, so that the transportation efficiency is improved, and the algorithm can perform intelligent scheduling and reasonable arrangement of transportation vehicles and routes according to real-time traffic conditions, cargo demands, vehicle states and other information.

The invention discloses an unmanned aerial vehicle path planning method, device and equipment and a readable storage medium, and the method comprises the steps: carrying out the mesh generation of a target region, responding to the unmanned aerial vehicle flight setting operation of a user, and selecting a target starting point and a target terminal point from each mesh vertex; determining a vertex set corresponding to the target grid point; adjacent grid vertexes of the flight forbidding grid are deleted from the vertex set, wherein a linear path between the adjacent grid vertexes and the target grid point needs to pass through the flight forbidding grid Calculating the flight path distance between the target grid point and the vertex of each adjacent grid; sequentially taking each adjacent grid vertex in the vertex set as a new target grid point, and returning to execute the step of determining the vertex set until the target end point is the adjacent grid vertex of the latest target grid point; and generating an unmanned aerial vehicle path based on the target flight path distance from the target starting point to the target ending point. Therefore, the redundancy of the flight path of the unmanned aerial vehicle is reduced through the synergistic effect of mesh generation, no-fly zone marking and vertex iteration path finding.

This utility model discloses a magnetic drive motor and an air supply device, including a motor body, an inner rotor, an outer rotor, and a magnetic adjustment ring. The motor body includes a housing and a motor shaft, with the motor shaft extending out of the housing. The inner and outer rotors are coaxially arranged. The inner rotor is provided with at least one first magnetic element, and the outer rotor is provided with at least one second magnetic element. One of the inner and outer rotors is fixed relative to the motor shaft. When the motor shaft rotates, the other of the inner and outer rotors can rotate together through the force between the first and second magnetic elements. The magnetic adjustment ring includes a mounting bracket and multiple magnetic plates. The mounting bracket is made of non-magnetic material and includes a fixing part and a mounting part. The fixing part is connected to the housing, and the mounting part is located between the inner and outer rotors and surrounds the inner rotor. The multiple magnetic plates are mounted on the mounting part and arranged at intervals along the circumference of the mounting part. This application can improve the stability of the magnetic drive motor operation.

The application discloses a farmland planning analysis method and system based on satellite data, relates to the technical field of farmland planning analysis, and comprises the following steps: obtaining multi-satellite image data of a target farmland area, pre-processing and performing semantic segmentation, constructing a binary image, fitting line segment endpoints, forming a farmland closed polygon, obtaining agricultural machinery parameters, forming constraint conditions, performing regional decomposition on the farmland closed polygon based on the constraint conditions, forming a plurality of sub-regions with continuous operation attributes, constructing a bidirectional optional coverage path and a state set, judging the direction consistency of the path connection relationship between the sub-regions according to the coverage path, generating a complete path for division and evaluation based on the judgment result, and performing local path reconstruction according to the evaluation result to obtain a complete continuous path as the farmland planning analysis result. The application significantly improves the intelligent level of farmland planning analysis.

The present application relates to a method and system for analyzing the development forms of low-altitude economy based on high-density cities, the method comprising obtaining the mission address information and mission type information of each aircraft, and performing path planning within a preset airspace according to the mission address information and mission type information, and obtaining the flight path information of each aircraft; obtaining the real-time traffic flow and airspace status information within the preset airspace, and optimizing and adjusting the flight path information in real time according to the real-time traffic flow and airspace status information; real-time monitoring of aircraft activities within the airspace, obtaining the flight information of each aircraft, and judging whether the corresponding aircraft has any flight violations according to the flight information; real-time tracking and feedback of the flight mission status, and monitoring the aircraft status and equipment operation status within the airspace, triggering equipment alarms in the event of an abnormality and taking preset emergency treatment measures. The present application has the effect of improving the efficiency of low-altitude aircraft control.

The application discloses a kind of urban sanitation vehicle collaborative perception management systems based on Internet of Things, and the application relates to the technical field of sanitation cleaning, lack of system analysis and mining of historical cleaning and transporting data, and the problem that the characteristics of garbage generation interval of each single route cannot be accurately mastered is solved, the application is based on the dynamic programming logic of the total amount of operation by combining analysis processing center, the route combination satisfying the requirement of transport capacity is filtered, and the optimal cleaning and transporting route is determined with the shortest travel distance as the core sorting principle, which effectively reduces the invalid driving mileage of sanitation vehicle, such as empty driving and detour, improves the cleaning and transporting efficiency of single sanitation vehicle per unit time;At the same time, through the scientific combination of multiple groups of to-be-planned routes, it is ensured that the transport capacity of sanitation vehicle is fully utilized, the resource waste phenomenon of part of vehicles overloading and part of vehicles idling is avoided, and the balanced allocation of regional sanitation vehicle transport capacity is realized.

This invention discloses a method and system for optimizing community bus service zones and sub-zone routes based on connection resistance, comprising the following steps: S1, constructing a main model for community shuttle bus service zones based on finite center-subordination rules to obtain the service sub-zone allocation scheme for community shuttle bus stops; S2, for each service sub-zone, constructing a sub-model for optimizing community shuttle bus service routes based on bus service impedance index to obtain shuttle bus service route schemes for each sub-zone connecting to public transportation hubs, determining whether the minimum service standard for shuttle buses is met by checking the connection resistance; for all sub-zones that fail the connection resistance test, adding the corresponding sub-zone partitioning constraint set to the main problem, and returning to S1 to resolve the main model until all shuttle bus route schemes for each sub-zone pass the test. This invention, through connection resistance testing, makes the designed community shuttle bus connection routes more competitive in service compared to shared bicycle travel.

The utility model relates to the technical field of steel structure factory buildings, in particular to a steel structure factory building secondary conversion ceiling device which comprises a steel frame, the steel frame is I-shaped, a steel structure fixing buckle is arranged on the surface of one side of the steel frame, a conversion hanging beam is arranged at the bottom of the steel structure fixing buckle, and a C-shaped steel hanging bracket is arranged at the bottom of the conversion hanging beam. The C-shaped steel hanging brackets are internally provided with conversion hanging lead screws, the bottoms of the conversion hanging lead screws are provided with T-shaped hanging beams, suspended ceiling plates are laid between the T-shaped hanging beams, the number of the steel frames is two, each steel frame is provided with four steel structure fixing buckles, the bottom surface of any one conversion hanging beam is fixedly provided with a supporting buckle, and each supporting buckle is internally provided with two C-shaped steel hanging brackets. The suspended ceiling plate mounting device has the advantages that the structure is simple, the design is reasonable, the overall height of the suspended lead screw can be adjusted and converted according to the actual requirements of different factories, and then the suspended ceiling plate is mounted at the required height.

The present application is applicable to the field of path optimization technology, and in particular to a method, system and device for optimizing a mobile digital patrol path, the method comprising: obtaining construction area information, human-machine density information and weather information; wherein the construction area information comprises the geographic information of each construction area, the progress information of each construction area and the risk information of each construction area, and the human-machine density information is used to characterize the distribution of construction personnel and construction equipment in each construction area; based on the construction area information, the human-machine density information and the weather information, determining the risk value of each construction area; generating the optimal patrol path for mobile digital patrol according to the risk value of each construction area and the geographic information of each construction area. This method improves the efficiency of mobile digital patrol and the dynamic adaptability of mobile digital patrol.

This invention discloses a through-type three-medium plate-fin heat exchanger and its manufacturing method, relating to the field of heat exchanger technology. It includes a pair of coolant manifolds and a pair of refrigerant manifolds, as well as refrigerant flat tubes and coolant flat tubes arranged between the pair of coolant manifolds. Adjacent coolant and refrigerant flat tubes share common air-side fins. The coolant flat tubes are sealed and connected between the pair of coolant manifolds, and the refrigerant flat tubes pass through the pair of coolant and refrigerant manifolds and are sealed and connected between the pair of refrigerant manifolds. This invention arranges both coolant and refrigerant flat tubes between the pair of refrigerant manifolds, with shared air-side fins between them, enabling coupled heat exchange between coolant, refrigerant, and air within a single heat exchanger core. The through-type structure of the coolant flat tubes passing through the coolant manifolds reduces pipe routing and space occupation, improves structural compactness, and reduces the pressure on the front-end module layout of the vehicle.

The utility model discloses a guardrail crossing device for expressway construction, which comprises a mobile vehicle, a conveying mechanism is arranged on the mobile vehicle, the conveying mechanism comprises a lifting frame, a transverse moving mechanism, a fixing sleeve, an inserting rod, a crossing plate, a reinforcing plate, a threaded pipe, a horn mouth, a follow-up mechanism and a fitting plate, the lifting frame is mounted on the mobile vehicle, and the transverse moving mechanism is mounted on the lifting frame. The transverse moving mechanism is connected to the lifting frame and the fixing sleeve in a matched mode, the inserting rod is installed on the crossing plate, the guardrail crossing device for expressway construction has flexible lifting and moving capacity due to the design of the conveying mechanism, and the crossing plate can be easily adjusted to the proper height and position through cooperation of the lifting frame and the transverse moving mechanism. By means of the lifting function of the lifting frame and the moving capacity of the transverse moving mechanism, construction efficiency is greatly improved, the risk that workers bypass or climb over the guardrail is reduced, and construction safety is guaranteed.

The invention discloses a multi-AGV path planning method for avoiding path conflict and deadlock, relates to the technical field of path planning, fundamentally solves the deadlock problem by building a channel extension time window model, and the model avoids mutual independence by building the correlation between channel resources, so that the path conflict and deadlock can be avoided. The possibility of deadlock caused by formation of AGV circulation waiting is actively eliminated on the system design level, so that AGV path deadlock prevention is realized, in the aspect of traffic efficiency, a tailgating search and same-direction strategy is innovatively proposed, the bottleneck of traditional single-channel exclusive occupation is broken through, the flexibility of path planning is improved through the tailgating search strategy, unnecessary detour is reduced, and the path planning efficiency is improved. The same-direction strategy allows multiple vehicles to cooperatively use the channel under the safe interval, the single-channel throughput and the road resource utilization rate are remarkably improved, and the congestion probability and the intersection conflict are effectively reduced through combination of the two.

The invention relates to the technical field of integrated circuit design and verification, and discloses a quick repair method and device for establishing time violation in static time sequence analysis. The method comprises the following steps: acquiring a static time sequence analysis report; extracting a target time sequence path according to the static time sequence analysis report; calculating multiple types of redundancy values of each module passed by the target time sequence path; calculating a redundancy value set of a data path of the target time sequence path and a redundancy value subset corresponding to each module according to the redundancy value of each module corresponding to the target time sequence path; determining a repair sequence of each module according to the redundancy value of each module corresponding to the target time sequence path; according to the redundancy value set and the redundancy value subset of each module, analyzing each module in sequence, and determining a repair scheme of each module; and obtaining a repair strategy of the target time sequence path according to the repair scheme of each module passed by the target time sequence path. The invention provides an efficient solution for establishing the early stage of time repair.

The application provides an order delivery path planning method and system, a server and a storage medium, relates to the technical field of logistics, solves the problems that the traditional decision scheme cannot balance the working time of delivery personnel and cannot avoid the detour of delivery personnel, and comprises the following steps: according to the data of a collection and distribution station, time distance matrix data and delivery personnel data, solving a first path planning strategy of a planable order based on a preset first path planning target, determining a target delivery personnel and the to-be-delivered orders of the target delivery personnel; according to real-time time distance matrix data and real-time position data, solving a second path planning strategy of the to-be-delivered orders based on a preset second path planning target, and determining real-time delivery path planning information of the target delivery personnel. The application realizes intelligent matching of delivery personnel and planable orders and intelligent decision of delivery personnel and delivery paths, and improves the delivery efficiency of delivery personnel.

Embodiments of the present application provide a road segment determination method and device, electronic equipment and storage medium. The method comprises determining at least one candidate road segment corresponding to the target position based on the target position and the preset navigation map, wherein the distance between the candidate road segment and the target position is less than the first preset distance, obtaining the road segment classification of the at least one candidate road segment, and determining the candidate road segment with a road segment classification that is not a preset classification as the target road segment corresponding to the target position, wherein the preset classification includes at least one of elevated, tunnel, ramp, one-way main road, so that when determining the target road segment corresponding to the target position, the target road segment is avoided to be determined as the road segment on the elevated, tunnel, ramp, one-way main road, etc., thereby avoiding driving to an incorrect or impossible drop-off point, reducing the occurrence of detours, and reducing the deviation of the estimated price.

The application provides a semantic Venn diagram-based on-route multi-task planning method, which comprises the following steps: in the process of executing a first task instruction by a robot, in response to at least one second task instruction, determining a target scene area for executing each second task instruction and a target area passing point based on a semantic Venn diagram; determining whether the target area passing point is in a first path node sequence corresponding to the first task instruction; if the target area passing point is not in the first path node sequence, evaluating a cost of executing the second task instruction, updating the first path node sequence based on the cost evaluation result, and controlling the robot to move according to the updated first path node sequence. By using the above-mentioned semantic Venn diagram-based on-route multi-task planning method, the problems of poor task scheduling flexibility, high response delay and low overall multi-task execution efficiency in the prior art are solved.

The utility model discloses an equal-diameter main body oil conservator and switch oil conservator integrated structure, which relates to the field of oil conservators and comprises an oil conservator, the oil conservator comprises a main body oil conservator and a switch oil conservator, and the main body oil conservator and the switch oil conservator are integrally arranged. A partition plate used for separating oil in the main body oil conservator from oil in the switch oil conservator is fixedly arranged in the oil conservator. The novel oil conservator structure is creative and has both spatiality and functionality, the manufacturing process can be simplified, the placing space can be saved, the positive effects of reducing the overall space occupation of the transformer, saving energy and reducing consumption are achieved, and the novel oil conservator structure is worthy of being used and popularized.

The invention discloses an unmanned aerial vehicle power distribution network autonomous routing inspection path planning method and system adaptive to an unmanned aerial vehicle nest, and relates to the technical field of unmanned aerial vehicles. Firstly, in a data preparation and cache stage, routing inspection coordinate point information and an initial position of a nest vehicle are extracted from various power grid diagrams of a power distribution network information system and are accessed to a traffic data interface; constructing a quadtree data structure, initializing a linked list, calculating and caching distance information and the like; constructing an initial loop path, and combining multiple factors to select a minimum weight scheme insertion point to form a complete loop path; segmenting a ring path, randomly segmenting for multiple times by using a Monte Carlo algorithm, and evaluating through a loss function; a path is optimized through a simulated annealing algorithm, path adjustment is accepted or rejected according to a criterion, and temperature convergence is updated to a better solution; and finally, performing final path cutting and outputting, and uniformly distributing to the multiple unmanned aerial vehicles. The system comprises a server and a processor, executes related steps and outputs a complete inspection path plan for a ground control center to monitor and dispatch.

The utility model discloses a water circulation and oxygenation integrated device for a gymnocypris przewalskii parent fish temporary rearing pond, and belongs to the technical field of aquaculture equipment. The device comprises an annular pool body, a filtering part and an oxygenation system, and the annular pool body forms continuous circulation by simulating natural river water flow, eliminates a stagnant water area and adapts to the migration habit of the gymnocypris przewalskii; the filtering part is composed of a first filtering tank, a second filtering tank, a protein separator, a micro-filtering tank and a clean water tank which are connected in series in a multi-stage manner, and particulate matters, dissolved organic matters and ammonia nitrogen pollutants are efficiently removed through gradient interception, adsorption and dynamic micro-filtration; the oxygenation system integrates water distribution pipe jet oxygenation and aeration pipe diffusion oxygenation, and realizes uniform distribution of dissolved oxygen in combination with water flow circulation driven by a circulating pump. According to the device, through the integrated design of an annular structure, multi-stage collaborative filtering and oxygenation circulation, the problems that a traditional breeding system is not thorough in water quality purification, uneven in dissolved oxygen, poor in ecological adaptability and the like are solved, the stress reaction of parent fishes is remarkably reduced, and the survival rate and breeding efficiency are improved.

The present application relates to the field of information and communication technology suitable for passenger and freight transport management purposes, and aims to provide a reservation type of passenger and freight co-transport optimization method based on a meeting point strategy. It includes: receiving basic transport information of passengers and freight in a reservation manner, analyzing the passenger and freight co-transport meeting point generation strategy based on space-time clustering; establishing a two-stage reservation type of passenger and freight co-transport optimization model to seek the path with the lowest cost under the premise of meeting the request; solving based on a genetic-tabu search algorithm, and iteratively optimizing the path scheme through destruction and repair operations; finding the path scheme that meets the cost minimization target, or reaching the preset iteration number. The present application realizes the space-time coordination of passenger boarding and alighting and freight loading and unloading operations, can effectively reduce the vehicle detours caused by scattered service freight requests, and significantly improves the resource utilization efficiency and overall operation efficiency of the bus in the off-peak period on the premise of prioritizing passenger travel experience.

This application relates to the field of unmanned surface vessel (USV) technology and provides an autonomous cruising method for USVs. The method includes: dividing a preset water area into a grid matrix and acquiring environmental data within the preset water area, the environmental data including water area data and obstacle data; setting the attribute information of the grid corresponding to the water area data as water area grids, setting the attribute information of the grid corresponding to the obstacle data as obstacle grids, and setting the attribute information of the water area grids adjacent to the obstacle grids as equidistant grids; traversing all grids within the preset water area and generating a grid trajectory unit set using the equidistant grids; acquiring a situation matrix centered on the USV's location at each moment, generating a cruising trajectory based on the situation matrix, and cruising according to the cruising trajectory. This scheme utilizes a grid trajectory unit set to achieve obstacle avoidance for various obstacles, thereby contributing to the autonomous cruising of the USV.

The utility model discloses an array type photovoltaic module mounting support, aims at solving cowshed shape photovoltaic support arc or inclined structure hinders the operation of cleaning equipment, is easy to cause sewage backflow, and the problem that support column shelters the cleaning path. The support includes prefabricated pipe pile, steel column, steel truss structure, purline, mounting plate and drainage structure, and steel truss structure is fixed between steel column and is inclined, and purline is horizontally and vertically arranged at the top of steel truss, and mounting plate is arranged at the top of purline and is used for installing photovoltaic board. Its through horizontal or reasonable inclined arrangement photovoltaic board mounting structure, avoid arc hindering, guarantee cleaning equipment steady operation, and drainage structure guides sewage discharge, prevents backflow, and support structure layout rules, reduces the shelter of cleaning path, realizes overall cleaning. Meanwhile, steel truss and other structures enhance the support stability, prolong the service life. The utility model is suitable for the installation and cleaning maintenance of array type photovoltaic module.

The application discloses a logistics order distribution optimization method and device based on deep learning and a medium, relates to the technical field of deep learning, and comprises the following steps: a deep learning neural network is used to decouple and generate dynamic characteristics representing scheduling rules, so as to construct a spatiotemporal manifold space in which orders and distribution are cooperatively evolved. In the space, an order is defined as a gravitational source, a delivery man is defined as a moving particle, a candidate distribution matrix is generated by calculating the motion force of the particle through a gravitational field model, and screening is performed in combination with logistics business constraint rules. On this basis, a virtual global particle is introduced to iteratively optimize the order access sequence, a globally optimal distribution path is obtained, the path structure is divided into multiple delivery man execution tasks according to the path structure, and finally, an order distribution result is obtained. The application can comprehensively consider order demand changes, distribution capacity states and complex road network environments, realize overall optimization and distribution of logistics orders, improve distribution efficiency and improve the scheduling capability of a logistics system.