Vault trunk task branch mixed route planning method

A route planning and tail box technology, applied in finance, genetic laws, biological neural network models, etc., can solve problems such as high escort risk and escort cost, impact on cash flow efficiency, easily overlooked bank branch handover time, and branch importance. , to reduce traffic congestion, reduce operating costs, and improve on-time performance

Active Publication Date: 2021-06-18
山东恒安安防技术有限公司
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

Considering financial escort issues from the perspective of escort efficiency and escort security, escort companies often only consider the escort distance or the shortest escort time when choosing a driving route. Implicit claims of sex etc.
On the other hand, considering the particularity of the object of escort, during the time when the bank branch is waiting for the cash box to be picked up on the way to transport the cash into the warehouse, the possible risk cost of the cash must also be considered, for example, the cash has not been transported due to the extension of the escort time. There will be a risk of being robbed, etc., which will bring higher escort risks and escort costs, which will greatly affect the efficiency of cash circulation

Method used

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  • Vault trunk task branch mixed route planning method
  • Vault trunk task branch mixed route planning method

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Embodiment 1

[0024] Attached below Figure 1-2 The present invention is further described, the treasury tail box task network point mixed route planning method, the treasury tail case task network point mixed route planning includes early delivery line planning and late receipt line planning, it is characterized in that the method includes the following steps:

[0025] Step one, such as figure 1 As shown, the escort company is used as the starting point, and each bank outlet is used as the receiving and delivery target, and the longitude and latitude coordinates of the escort company and each bank outlet are collected; the longitude and latitude coordinate data of the escort company and each bank outlet are substituted into the saving algorithm. Based on the multiple restrictions of the vehicle capacity of the escort vehicle, the volume of tail boxes at each bank outlet, the earliest delivery time of the first bank outlet, the latest delivery time of the last bank outlet, and the length of...

Embodiment 2

[0035] The difference between this embodiment and Embodiment 1 is that in step 2, only the non-dominated sorting genetic algorithm with the elite retention strategy is used to optimize each initial escort route, specifically the vehicle capacity of the escort vehicle, the tail box volume of each bank outlet, The number of bank outlets for each escort line, the earliest delivery time of the first bank outlet, the latest delivery time of the last bank outlet, and the length of stay at each bank outlet are substituted into the algorithm to obtain the optimal result of the escort line with the least conflict of the above parameter values.

Embodiment 3

[0037] In the second step, the combination of simulated annealing algorithm and non-dominated sorting genetic algorithm with elite retention strategy is used to locally optimize each escort line, specifically: first use simulated annealing algorithm to optimize the road path of each escort line; The non-dominated sorting genetic algorithm with elite retention strategy optimizes each escort route, and the optimal path of the escort route is also substituted into the non-dominated sorting genetic algorithm with elite retention strategy as a parameter value.

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Abstract

The invention belongs to the technical field of financial escort, and particularly relates to a vault trunk task branch mixed route planning method, which comprises the following steps: 1, preliminarily planning a route by utilizing a saving algorithm; step 2, performing local optimization on each escorting line by using one algorithm or a combination of two algorithms in a simulated annealing algorithm and a non-dominated sorting genetic algorithm with an elitist retention strategy; step 3, adopting a convolutional neural network algorithm to output an influence curve of the change of the congestion index and the weather category on the escort distribution time, comparing calculation results, and obtaining an optimal path planning set after manual line fine tuning; 4, sequentially selecting escorting routes from the optimal path planning set to carry out actual operation distribution, and finally determining an optimal escorting route. The invention has the beneficial effects that the operation cost of the escort service is reduced, the service quality is improved, the on-time rate of escort distribution is improved, and meanwhile, the influence caused by uncertain factors such as traffic congestion and road conditions is avoided.

Description

technical field [0001] The invention belongs to the technical field of financial escort, and in particular relates to a route planning method for mixed compilation of task outlets in the back of a treasury. Background technique [0002] Although mobile payment technology has become popular at present, with the continuous development of China's social economy, the amount of cash circulating in various links is still increasing year by year. According to the financial statistics report released by the central bank in December 2018, as of the end of December, the amount of cash in circulation The currency balance in China has reached 7.32 trillion yuan, and the effective management of large-scale cash circulation has attracted more and more attention. In real life, the escort company is responsible for escorting the bank cash box, the bill seal box and formulating the driving route. Considering financial escort issues from the perspective of escort efficiency and escort securi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06Q40/02G06N3/04G06N3/12
CPCG06Q10/047G06Q10/0832G06Q10/08355G06Q40/02G06N3/126G06N3/045Y02T10/40
Inventor 曹全宗贾久龙张清刚邵怀龙赵桂香
Owner 山东恒安安防技术有限公司
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