3results about How to "Judgment status" patented technology

The invention belongs to the technical field of fuel assembly abnormity identification, and aims to solve the problem that an existing identification method has an abnormity missing detection risk and realize intelligent identification of abnormity of a fuel assembly. The invention discloses an intelligent analysis method and system for appearance inspection of a fuel assembly, and the method comprises the steps: triggering a side direction detection state, a side character detection state and an upper end plug abnormality detection state through the comparison of a coordinate of a set point on a positioning frame of an upper tube seat with a set threshold value; when the predicted feature is a grillwork outer strip, grillwork outer strip identification defect identification is carried out, when the position of a fuel assembly upper tube base reaches a set position, a fuel assembly appearance anomaly detection mark is triggered, and when the predicted feature is a lower tube base, a lower end plug anomaly detection state is triggered; the system comprises a fuel assembly feature positioning module, a side orientation detection module, a side character detection module, an upper end plug anomaly detection module, a grillwork outer strip counting and detection module, a fuel assembly appearance anomaly positioning module and a lower end plug anomaly detection module.

This invention discloses a method and system for assessing the service status and diagnosing faults of cables, belonging to the field of cable aging and fault diagnosis technology. The method first constructs a simulation model of an equivalent cable and verifies the model. Based on the verified simulation model, it simulates the cable materials to obtain simulation data. Using the aging characteristic data and state characteristic data of the cable materials as training data, it trains an artificial neural network model, resulting in a cable prediction model. This model includes a fault prediction unit and an aging prediction unit, which are correlated probabilistically. The aging prediction unit outputs the aging state of the cable, and the fault prediction unit diagnoses faults based on probabilities. This method, through neural network model analysis, constructs a cable material identification and classification model under the influence of multiple interference factors, thereby achieving cable service status assessment and fault diagnosis.

The application discloses a switch cabinet interlocking protection mechanism and a switch cabinet, and relates to the technical field of electrical equipment, which comprises an outer protection shell, a disconnecting switch control mechanism, a rope, and a driving mechanism. The outer protection shell is arranged on a cabinet door. The driving mechanism is inserted into the outer protection shell. The driving mechanism comprises a mounting block, a rotating shaft body and a limiting piece. The rotating shaft body is provided with a clamping tooth. The mounting block is provided with three containing grooves. The rotating shaft body can be rotated by external force or translation. The clamping tooth of the rotating shaft body can be switched into different containing grooves. Under the action of the limiting piece, the clamping tooth is located in one containing groove. The position of the clamping tooth is switched to pull the rope to complete the opening and closing of the disconnecting switch. The structure is simple and ingenious. The operator can realize the opening and power-off before opening the door, and the safety is high. The rotating shaft body is provided with a handle disc. The jack on the handle disc is consistent with the position of the clamping tooth. The operator can intuitively observe the position of the clamping tooth to determine the state of the disconnecting switch.