Cloud computing and AI based tramcar cloud platform

Abstract

The invention relates to a cloud computing and AI based tramcar cloud platform. According to the cloud computing and AI based tramcar cloud platform, the cloud platform is built in a tramcar dispatching center data machine room, a server cluster is connected through a network, cloud platform application software is deployed and installed on servers, the cloud platform distributes computational tasks on a resource pool formed by the large number of servers so that all the servers can obtain computing power, storage spaces and various software services according to needs, then centralized management and resource sharing of the cloud platform are realized, the information isolated island is broken through, the cloud platform comprises three layers of network structures of a physical layer, aservice layer and an application layer, the computing efficiency of a tramcar system is improved through a cloud computing technology of the cloud platform, remote work and mobile work of the tramcarare realized through a cloud platform WEB service, and the operation safety level of the tramcar is improved through a cloud platform AI analysis technology.

Description

technical field [0001] The invention belongs to the technical field of trams, in particular to a tram cloud platform based on cloud computing and AI intelligence. Background technique [0002] Tram systems are usually divided into multiple systems such as traffic dispatching system, communication system, power monitoring system, supercapacitor monitoring system, information display system, security system, office automation system, fare collection system, etc.; different systems involve different Manufacturers and different standards, each system needs to be independently designed and constructed, and each system operates independently without interfering with each other. System integration is to integrate multiple systems into one system, establish a dedicated communication interface with each system, and adopt unified software management; The main functions of the system are all in one system, which is convenient for management and maintenance, realizes information exchang...

AI Technical Summary

Problems solved by technology

[0003] (1) There is an information island phenomenon, each professional system operates independently of each other without interfering with each other, and the interaction between cross-systems is completed through a unified integrated platform. The interactive data is limited by the pre-construction planning and consideration, and there is an information island phenomenon. Difficult to adapt to later operation and maintenance changes;

[0004] (2) The resource utilization rate is low. A large amount of data and computing services of the tram system are mainly concentrated on the server of the integrated system, which requires high performance of the server hardware of the integrated platform, and it is helpless for some computing services that exceed the operating capacity of a single device. , most of the servers of other systems are not fully utilized, resulting in a waste of resources;

[0005] (3) Low sharing. The degree of information sharing between the server and the client, between systems, and across regions is low. The degree of sharing is limited to the consideration of the previous construction. The system has poor adaptability to changes in later operation and maintenance requirements. Often involves increased expansion costs and workload;

[0006] (4) The safety level is not comprehensive. At present, the security of the tram system in terms of system operation safety adopts redundant primary and backup servers and storage arrays, and redundant AB networks to ensure the reliability of the system and equipment. The high construction cost even doubles the cost. Because of this, due to the consideration of the initial construction investment cost and the urgent need for opening, the practice of putting into operation first and improving gradually during operation leads to an incomplete overall safety level. It also caused the current high cost of tram operation upgrading and transformation;

[0007] (5) The degree of AI is low. Many data in traditional intelligent systems still rely on manual input and debugging, and the system itself lacks the ability of innovation and automatic learning.

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