Automatic biochemical analyzer remote equipment diagnosis strategy

Abstract

The invention provides an automatic biochemical analyzer remote equipment diagnosis strategy. The automatic biochemical analyzer remote equipment diagnosis strategy includes the following steps: 1) acquiring various physical signals of an automatic biochemical analyzer, including pressure, liquid level, flow, temperature, and position, and obtaining input parameters; 2) uploading the input parameters to a unified server, and performing evaluation of initial state on the automatic biochemical analyzer by means of one-sided characteristic quantity; 3) constructing an automatic biochemical analyzer fault diagnosis model based on a decision tree; and 4) loading the maintenance strategy. The automatic biochemical analyzer remote equipment diagnosis strategy can improve the diagnosis speed of system, can save the cost of service hospital equipment of an enterprise, and can improve the diagnosis quality.

Description

technical field [0001] The invention relates to a remote device diagnosis strategy for a fully automatic biochemical analyzer. Background technique [0002] As a commonly used testing equipment in medical institutions, fully automatic biochemical analyzer has a relatively complex structure. It is a precision measuring instrument integrating light, machinery and electricity. Have a high professional level. Since the hospital requires continuous use of such equipment, timely fault diagnosis and preventive maintenance in advance become very important, and remote monitoring is an effective means to solve this problem. With the penetration of Internet technology into various industries and the vigorous development of artificial intelligence technology, the telemedicine equipment systems currently developed in the market are all based on textual information on the Internet. There is no 3D-based medical equipment simulation system in China. Problems caused by text information It ...

AI Technical Summary

Problems solved by technology

With the penetration of Internet technology into various industries and the vigorous development of artificial intelligence technology, the telemedicine equipment systems currently developed in the market are all based on textual information on the Internet. There is no 3D-based medical equipment simulation system in China. Problems caused by text information It is not intuitive and requires a very professional person to interpret

At the same time, the current domestic system lacks machine deep learning functions, and cannot help users discover problems predictively and where the problems are related

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