12 results about "Logistics park" patented technology

The overall design is compact, making it suitable for applications requiring rapid deployment and with significant space constraints, particularly in logistics parks and lithium battery fires. Users can connect and activate the device in a short time, providing a foam fire extinguishing system that enables more efficient response to fires. [Solution] The system comprises a machine box and a water pump, a peristaltic pump, a foam concentrate tank, and an air compressor located inside the machine box. The foam concentrate tank and peristaltic pump are connected to the input terminals of the water pump via piping, and the air compressor is connected to the output terminal of the water pump via piping. In addition, a water supply pipeline is installed parallel to the foam concentrate tank at the input terminal of the water pump, and the output terminal of the water pump is connected to an external fire hose. The foam concentrate tank and peristaltic pump are positioned horizontally opposite each other on the same side of the water pump, and the air compressor is positioned horizontally opposite each other on the opposite side of the water pump. This clarifies the water supply and drainage layout of the entire system and facilitates the independent removal and maintenance of each component module.

The application relates to a logistics park multi-capability complementary system management and control method and a service platform. The method comprises the following steps: using a particle swarm optimization algorithm to perform population search iteration on multiple device configuration particle individuals to generate multiple first configuration particle individuals; using a target solver to perform daily operation scheduling planning solving on all particles of the first configuration particle individuals to generate corresponding daily scheduling response data, and calculating corresponding configuration fitness based on scheduling fitness of the daily scheduling response data and a target function associated with the first configuration particle individuals; based on the configuration fitness, repeatedly performing the steps of generating corresponding first configuration particle individuals and daily scheduling response data until multiple second configuration particle individuals meeting preset fitness defined configuration fitness are obtained; using a TOPSIS method to select a target device configuration particle individual from the multiple second configuration particle individuals, and using the target solver to solve target scheduling response data to obtain a corresponding optimization result.

The application discloses a kind of vehicle flow path planning method based on logistics park and surrounding road network double constraint, by constructing mathematical model, simultaneously consider the processing capacity limit of internal service node of logistics park and the traffic capacity limit of surrounding road network section and node, accurately present the interaction mechanism of both, solve the problem that prior art cannot accurately depict its complex relationship;Second, based on the solution algorithm, the model is solved, in the double-constrained environment of comprehensive and accurate, fully excavate path combination, quickly find the vehicle flow path scheme that meets the conditions and makes the optimal solution of transportation efficiency, cost and other targets, overcome the problem that optimal solution is difficult to obtain;In addition, the influence of different constraint conditions is analyzed in depth, the action mechanism of vehicle flow path is mastered, and the model and algorithm are optimized accordingly, and the planning scheme can be adjusted in real time according to the actual situation, so that the planning can follow the changes of actual demand, effectively make up for the defects that the prior art is difficult to dynamically optimize and adjust.

The application discloses a kind of logistics park storage intelligent lifting steel frame, including main steel frame, the goods shelf being arranged at one side of main steel frame, multiple supporting plates being fixed in the inside of goods shelf, lifting platform being liftable and being arranged in the inside of main steel frame;Pushing assembly is installed on the top of lifting platform;The logistics park storage intelligent lifting steel frame proposed in the present application effectively solves the problem that the height of pushing plate in traditional intelligent lifting steel frame is not adjustable by designing a L-shaped extension plate that can slide up and down, ensures that the goods can be smoothly pushed into the supporting plate in the steel frame, greatly improves the stability and reliability of storage operation, the height of the L-shaped extension plate can be flexibly adjusted according to actual use requirements, can meet the storage needs of logistics goods of different heights, whether it is a large packaging box or a high-rise cargo, can easily cope with, greatly improves the use flexibility and adaptability of the whole device, so that it can be applied in more extensive logistics scenarios.

This invention provides a method, apparatus, and equipment for diagnosing carbon emissions in logistics parks, relating to the field of carbon emission management technology. The method includes: acquiring vehicle OBD data, warehousing energy consumption data, park charging pile data, and cargo loading / unloading process data from the logistics park and inputting them into a carbon flow diagnosis model for the logistics park; obtaining the carbon emission amount for each spatiotemporal unit corresponding to the current input data to identify high-carbon nodes; during the training of the logistics park carbon flow diagnosis model, each preset spatial grid at each preset time step is treated as a spatiotemporal unit, and the historical actual carbon emission amount for each spatiotemporal unit is calculated based on historical input data according to transportation, warehousing, loading / unloading, park office, and other processes; and obtaining a spatial attention weight matrix and a temporal attention weight matrix based on the historical actual carbon emission amount of each spatiotemporal unit to train a spatiotemporal attention-based LSTM model. This invention can comprehensively track park carbon emissions and accurately locate high-carbon nodes.

The application relates to the technical field of route navigation, in particular to an intelligent logistics park unmanned logistics distribution vehicle route navigation method and system, which comprises the following steps: acquiring the current actual position, historical position and planned distribution route of an unmanned vehicle and signal labels; obtaining each signal monitoring group according to the distance distribution condition between the historical position of the unmanned vehicle and the signal labels and the straight-line distance between the signal labels and the planned distribution route; solving the suspected vehicle position according to the overlapping condition between the signal strength ranges of the signal labels in the signal monitoring group; analyzing the error distribution range according to the obstacle blocking degree of the signal labels in the signal monitoring group, and obtaining the current corrected position by combining the information credibility of the overlapping area between the error distribution ranges; and performing route navigation on the unmanned vehicle according to the current corrected position and the current actual position. The application makes the identification result of the current position of the unmanned vehicle more accurate, and thus more accurate navigation results can be obtained.

The application discloses a logistics park platform intelligent management and control method and system based on edge cooperation, and relates to the technical field of park platform management. The method comprises the following steps: a target warehouse has multiple cargo storage areas and multiple platforms, and a distance matrix of the multiple cargo storage areas and the multiple platforms is established; vehicle position information and operation demand information of multiple transport vehicles are acquired in real time, and multiple vehicle arrival times are predicted and acquired according to the vehicle position information of the multiple transport vehicles; an initial vehicle platform matching scheme is generated according to the distance matrix and the operation demand information, conflict detection is performed on the initial vehicle platform matching scheme based on the multiple vehicle arrival times, and a conflict detection result is acquired; when there is a conflict vehicle platform pair in the conflict detection result, the initial vehicle platform matching scheme is optimized according to the distance matrix, an optimized vehicle platform matching scheme is generated, and logistics park platform management and control are performed. The application effectively improves scheduling accuracy and resource utilization efficiency.

This invention discloses an AI-based method and apparatus for early warning of production and transportation plans in cold chain logistics parks, belonging to the field of cold chain logistics management technology. The method includes: collecting multi-source heterogeneous data within the cold chain logistics park; performing business logic-based feature engineering on the multi-source heterogeneous data to construct multi-dimensional feature vectors; obtaining a pre-constructed validation set; calculating false alarm and missed alarm costs in real time based on current cargo attributes and operational status, and constructing a total expected business cost function; solving for the minimum point of the total expected business cost function to obtain the optimal dynamic early warning threshold for the current batch of goods; comparing the real-time probability value with the optimal dynamic early warning threshold, and generating and sending early warning information if the threshold is exceeded. This invention, through the synergy of cost-sensitive learning and cost threshold optimization, enables the early warning system to adapt to cargo value, minimize total business costs, reduce false alarms and missed alarms, and improve the safety and economic efficiency of cold chain logistics.

This invention relates to the field of logistics management technology, and more particularly to an intelligent calculation and dynamic optimization method for logistics park operation processes, comprising: calculating the changes in the overall equipment status, task progress, and vehicle queuing density respectively, and merging the changes into an operation status index; for each pending task, reading the corresponding task completion ratio and task queuing density, calculating the node process pressure index and task priority index, until the calculation of all pending tasks is completed, and constructing a task priority queue; for each task in the task priority queue, calculating the matching score between the task and the equipment, generating a task execution allocation table, and simultaneously updating the load status of the equipment through an update function to generate equipment status update values; reading the task execution allocation table, calculating the task adjustment index, re-evaluating the matching between tasks and equipment, and generating an optimized task execution allocation table and equipment status update values.

1. Name of the product in this design: Intelligent Road Hot Melt Marking Robot. 2. Application of this design: for road traffic marking, marking of specific areas, such as: airport runways and taxiways, ports and logistics parks, factory workshops and warehouses, stadiums, parking lots, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. Name of the product in this design: Intelligent Cold Spray Marking Robot. 2. Application of this design: for road traffic marking, marking of specific areas, such as: airport runways and taxiways, ports and logistics parks, factory workshops and warehouses, stadiums, parking lots, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model discloses a kind of damp-proof devices for port logistics park, including box, the upper portion of the box is equipped with sealing cover, the middle part of the sealing cover is provided with through-hole, the through-hole of the sealing cover is fixedly connected with threaded tube, the threaded tube is threadedly connected with threaded sleeve, the middle part of the threaded sleeve is fixedly connected with containing shell, the lower portion of the containing shell is detachably fixedly connected with support net, drying agent is placed in the containing shell, the both sides of the sealing cover are fixedly connected with handle, the box is fixedly connected with two limit posts, the limit post penetrates the sealing cover, the limit post is sleeved with limit sleeve, the limit sleeve is fixedly connected with extrusion disc, the extrusion disc is fixedly connected with the sealing cover. By being set in the middle part of sealing cover, the drying agent containing device of detachable replacement can continuously dry the air in the box, effectively prevent goods from damp, mildew or oxidation. Drying agent replacement operation is simple, only need to unscrew threaded sleeve and containing shell can be completed, without affecting box main structure.