Method for achieving high-speed dynamic data acquisition by using cloud server

Abstract

The invention discloses a method for achieving high-speed dynamic data acquisition by using a cloud server. The method comprises an acquisition end, a cloud service and client software, and comprisesthe following steps: starting the process; enabling the acquisition end to be connected with the cloud service; transmitting an equipment code and an IP address to the cloud service by the acquisitionend; receiving information and storing the information by the cloud service; waiting for connection of a client by the cloud service; waiting for connection of the client by the acquisition end; enabling the client to be connected with the cloud service; acquiring an acquisition equipment code and the IP address by the client; transmitting the acquisition equipment code and the IP address to theclient by the cloud service; enabling the client to be connected with acquisition equipment; continuously transmitting data to the client by the acquisition equipment; acquiring the data by the client; performing data parsing and calculation by the client; and forming a monitoring data graph and ending by the client. According to the method for achieving the high-speed dynamic data acquisition byusing the cloud server provided by the invention, data acquired from the monitoring project site can be directly transmitted to the client, and the data can be parsed and calculated at the client native machine, so that the server load is reduced to a very low level, and the solving efficiency and the data timeliness are greatly improved.

Description

technical field [0001] The invention belongs to the field of data collection, and in particular relates to a method for realizing high-speed dynamic data collection by using a cloud server. Background technique [0002] Bridge structure monitoring is an important link to ensure the safety of bridge structures. It records and controls the quality and status of structures during bridge construction and operation. It is the most direct means to display engineering information and understand the status of bridge structures. [0003] For a long time, bridge structure monitoring is often implemented by dynamic response analysis method. To analyze the dynamic response of the structure, high-frequency data collection with a sampling frequency greater than 100HZ is required. However, due to the high frequency of dynamic data collection and the large amount of data, if the original data is uploaded to the server, the client will query it from the server's database As a result, a larg...

AI Technical Summary

Problems solved by technology

To analyze the dynamic response of the structure, high-frequency data collection with a sampling frequency greater than 100HZ is required. However, due to the high frequency of dynamic data collection and the large amount of data, if the original data is uploaded to the server, the client will query it from the server's database As a result, a large amount of server resources and bandwidth will be occupied, and there will be a certain delay

If there are multiple users querying at the same time, the server will not be able to handle a large number of concurrent requests in time due to the overload, or even paralyze

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