Underground logistics network node grading and site selection system and method

A logistics network and node technology, applied in logistics, instruments, character and pattern recognition, etc., can solve the problems of low result accuracy and poor robustness, and achieve the effect of good clustering effect.

Pending Publication Date: 2019-06-07
ARMY ENG UNIV OF PLA
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Problems solved by technology

However, traditional FCM clusters with fuzzy concepts on the basis of considering single factors, which may be sensitive to isolated data points, resulting in low precision and poor robustness of clustering results

Method used

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  • Underground logistics network node grading and site selection system and method
  • Underground logistics network node grading and site selection system and method
  • Underground logistics network node grading and site selection system and method

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Embodiment Construction

[0050] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0051] The application of the present invention is mainly manifested in the optimization of node site selection, comprehensive freight volume and distance factors, with the goal of optimizing the total cost, using the fuzzy C clustering method to optimize the site selection of underground logistics system nodes, not only can Obtaining the optimal layout scheme of nodes is also the prerequisite for effective design of underground logistics network planning.

[0052] In the process of node selection and optimization, firstly, ULS nodes are divided into first-level nodes and second-level nodes according to the attributes of the node's logistics function, node service radius, node service capability, logistics characteristics, comprehensive degree, and service objects, among which :

[0053] First-level nodes: large-scale, large-scale cargo circulation, generall...

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Abstract

The invention discloses an underground logistics system node grading and site selection system and method. Underground logistics nodes are classified into first-level nodes and second-level nodes; twofactors of node distance and freight volume are considered; the Euclidean distance weighted quadratic sum of a traditional fuzzy C clustering method is corrected; a genetic algorithm and a simulatedannealing algorithm are combined, a good clustering effect is obtained, and the grading of the nodes and the difference of grading attributes are considered at the same time, so that the network transportation state of the underground logistics system can be reflected more truly, and a good data mining model can be provided for subsequent research of the underground logistics network.

Description

technical field [0001] The invention relates to the field of underground space development and application and transportation engineering, and relates to an urban underground logistics system. Background technique [0002] The Underground Logistics System (ULS for short) is a brand-new transportation and supply system that transfers goods from the ground to the ground through pipes (tunnels), in order to release ground road space to a greater extent and alleviate traffic congestion. , Reduce environmental pollution and other purposes. As an important component of ULS, the underground logistics node is the first step in forming a network from the perspective of planning timing, and then the connection of lines and optimization of the network can be considered; from the perspective of function realization, the node, as a functional complex, not only undertakes transportation , distribution, warehousing, distribution and other basic logistics functions, and also undertakes the...

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Application Information

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IPC IPC(8): G06Q10/08G06Q10/04G06K9/62
Inventor 陈志龙陈一村董建军任睿胡万杰许元鲜
Owner ARMY ENG UNIV OF PLA
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