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Optimal path calculation method based on intelligent learning algorithm

An optimal path, intelligent learning technology, applied in the field of optimal path calculation based on intelligent learning algorithm, can solve problems such as time waste, avoid local deadlock, ensure fidelity, and improve success rate.

Inactive Publication Date: 2016-12-07
LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

So it caused a lot of time wasted for office workers or other people who are in a hurry, and produced a series of reactions

Method used

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  • Optimal path calculation method based on intelligent learning algorithm

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Embodiment 1

[0033] An optimal path calculation method based on an intelligent learning algorithm. The method adopts an improved intelligent learning algorithm, combined with realistic application scenarios, uses a particle swarm optimization algorithm to treat the user as a particle, and virtualizes multiple particles. These virtual Particles simulate the scene where the user is located at the same distance in different directions of the building, and the user approaches the building at the same speed. When the user reaches an optimal position, the user can use the final result to choose the best path.

[0034] Particle Swarm Optimization (PSO) is a method that uses massless and volumeless particles as individuals. The present invention improves on the basis of the traditional particle swarm optimization algorithm. In this scene, the user is regarded as a particle, and the same particle is virtualized in the other 7 directions of the same target. The 7 virtual particles and the real user ...

Embodiment 2

[0036] On the basis of Embodiment 1, the method described in this embodiment adopts the Internet of Things method, and realizes that the elevator and the mobile phone are connected to each other and connected to the Internet.

Embodiment 3

[0038] Such as figure 1 As shown, on the basis of embodiment 2, the method operation steps described in this embodiment are as follows:

[0039] The first step: collect the data of the elevators in each location;

[0040] Step 2: The user enters the destination floor and pays attention to the returned results in real time;

[0041] Step 3: According to the real-time results, when reaching a final position, the user selects the best result. For example: at the entrance of the north gate hall of the building, it is the final calculated position at this time, and it can be selected according to the result returned at this time.

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Abstract

The invention discloses an optimal path calculation method based on intelligent learning algorithm. The method uses the improved intelligent learning algorithm, combines actual application scenario, takes a user as one particle through the particle swarm optimization algorithm, virtualizes a plurality of particles which simulate the scenarios when the user is at same distance from the building in different directions and the user approaches the building at the same speed, and when the user arrives at the optimal position, the user can adopt the final result and select the optimal path. According to the invention, the method improves traditional particle swarm optimization algorithm, uses part of the particle swarm algorithm and moving direction to learn, and real-time feedbacks the optimal path. The method simulates actual scenario of officer workers, which saves time and efficiently uses resources.

Description

technical field [0001] The invention relates to the technical field of optimal path calculation, in particular to an optimal path calculation method based on an intelligent learning algorithm. Background technique [0002] With the development of information technology, the idea of ​​the Internet of Things has been introduced into life, and mobile phone app technology has become the main means of convenience in life. This technology requires efficiency and accuracy. The so-called Internet of Things technology is through the installation of information sensing equipment. Such as radio frequency identification (RFID) devices, infrared sensors, global positioning systems, laser scanners, etc., all items are connected to the network for easy identification and management. It can be used on TVs, washing machines, air conditioners and even bicycles, door locks and blood pressure monitors. [0003] Experts predict that within ten years, the Internet of Things may be popularized on...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/00
CPCG06Q10/047G06N3/006
Inventor 路廷文
Owner LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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