15results about How to "Reduce detours" patented technology

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 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.

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 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 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 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.