Big data-based laparoscopic surgical instrument operation fault prediction system

Abstract

The invention discloses a big data-based laparoscopic surgical instrument operation fault prediction system, relates to the technical field of operation fault prediction, and solves the technical problems of less fault prediction basis and low corresponding prediction accuracy during fault prediction of existing laparoscopic surgical instruments. According to the method, the occurrence risk of high influence characteristics in the execution process of the analysis object is judged, so that an accurate basis is provided for fault prediction of the analysis object, the prediction accuracy is high, the timeliness of fault discovery is enhanced, the fault influence is reduced to the minimum, and the working efficiency of the analysis object is indirectly improved; according to the method, the execution of the corresponding analysis object is subjected to risk analysis, and whether the specific execution of the analysis object affects the instrument fault is judged, so that the accuracy of fault prediction of the analysis object is improved, and meanwhile, the monitoring strength of the execution process is increased, so that the fault risk in the operation process of the analysis object is effectively avoided; and the working efficiency of analyzing the object is improved.

Description

technical field [0001] The invention relates to the technical field of operation failure prediction, in particular to a big data-based operation failure prediction system for laparoscopic surgical instruments. Background technique [0002] Laparoscopic surgery is a newly developed minimally invasive method and an inevitable trend in the development of future surgical methods. With the rapid development of industrial manufacturing technology, the integration of related disciplines has laid a firm foundation for the development of new technologies and methods, coupled with the increasingly skilled operation of doctors, many open surgeries in the past have now been replaced by endovascular surgeries. Greatly increases the chances of surgical options. Therefore, the related instruments of laparoscopic surgery are becoming more and more sophisticated, and the requirements for predicting the operation failure are higher. [0003] However, in the prior art, when laparoscopic surg...

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Problems solved by technology

[0003] However, in the existing technology, when performing failure prediction of laparoscopic surgical instruments, there are few failure prediction basis and the corresponding prediction accuracy is low; it is impossible to analyze the risk of the operation of the device and the risk during the execution of the device, so that the deviation of the prediction result is large, which affects The real-time working efficiency of the device cannot minimize the impact of failure

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