3 results about "Diagnosis Type" patented technology

The embodiment of the application discloses a data diagnosis method and device, a diagnosis equipment and a storage medium. The method comprises the following steps: receiving a diagnosis request of a target diagnosis type of a target service sent by a diagnosis platform; the diagnosis request comprises a target domain name required to be called when executing the target service and network attribute information of a network used for executing the target service; intermediate data generated when the target service is executed based on the target domain name and the network attribute information is acquired; the intermediate data comprises address data required in the process of executing the target service; diagnosis reference data of the target diagnosis type of the target service is acquired; the intermediate data is diagnosed based on the diagnosis reference data, and a diagnosis result for the target service is obtained; the diagnosis result is used for indicating that a target address indicated by the target domain name can be accessed or cannot be accessed when the target service is executed based on the network attribute information. By using the application, the diagnosis efficiency and diagnosis accuracy for the target service can be improved.

This invention discloses a treatment pathway recommendation method based on IBS multidimensional data. This invention relates to the field of intelligent diagnosis and treatment technology, and includes the following steps: S1, constructing an IBS treatment plan library. The treatment plan library contains standardized treatment plans corresponding to different diagnostic types and severity levels of IBS. The standardized treatment plan includes at least follow-up recommendations, medication recommendations, probiotic recommendations, and nursing guidance, and each treatment plan is associated with a corresponding IBS multidimensional data feature threshold. This treatment pathway recommendation method based on IBS multidimensional data overcomes the limitations of existing technologies with single-dimensional diagnostic data. It comprehensively integrates four core dimensions: patient symptom data, physical sign data, laboratory test data, and medical history data. Symptom data is obtained through a combination of patient self-reporting and doctor consultation to ensure no omissions; physical sign data relies on professional medical equipment to ensure objectivity; and laboratory test data is obtained synchronously from the hospital's testing system to reduce errors.

This invention proposes a method and system for fault diagnosis of permanent magnet synchronous motor (PMSM) sensors. The method includes: acquiring historical measurement data of the PMSM and constructing a dataset for training a classification model; training the classification model offline using the dataset; inputting the PMSM data collected in the current time window into the trained classification model and determining the reliability of the model's output; if reliable, stopping the diagnosis process in the current time window and outputting the diagnosis type and fault location; if unreliable, proceeding to the next window for diagnosis. Based on this method, a fault diagnosis system for PMSM sensors is also proposed. This invention features high scalability, strong self-learning capability, independence from the motor's physical model, and strong robustness to system noise and external disturbances, appropriately improving the diagnosis speed while ensuring accuracy.