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Insulated bus duct and hotspot temperature anomaly early warning method and system thereof

PendingCN122192537ASolve the problem of being unable to adapt to changes in working conditionsGuaranteed operational reliabilityThermometers using electric/magnetic elementsUsing electrical means
The application discloses a kind of hot spot temperature anomaly early warning methods of insulated bus duct, belong to the online monitoring technical field of electric power equipment.For the problem that existing bus duct temperature monitoring only relies on fixed absolute threshold, early warning is seriously lagging behind, the real-time temperature data of bus duct connector is obtained, the change rate of temperature with time is calculated, including short-term change rate and long-term change rate;When long-term change rate is positive and exceeds the preset aging rate threshold, a first early warning signal is generated;At the same time, according to real-time temperature data and long-term change rate, the predicted threshold below the absolute temperature threshold is dynamically calculated, and a second early warning signal is generated when the real-time temperature reaches the predicted threshold.The application combines trend analysis with dynamic threshold, realizes early identification of early signs of insulation aging and prior prediction of thermal runaway risk, effectively solves the problem of early warning lag in the prior art, and significantly improves the operation reliability and operation efficiency of bus duct power supply system.
Owner:GUANGDONG BOSS ELECTRICAL APPLIANCES CO LTD

Conjunctival sac pathogen detection method and system using fluorescent staining image analysis

PendingCN122289162Aimprove accuracyRealize quantitative discriminationConjunctivaMulti wavelength
This invention discloses a method and system for detecting pathogens in the conjunctival sac using fluorescence staining image analysis, belonging to the field of medical image processing technology. The method includes: acquiring multi-wavelength fluorescence images and performing inter-channel differential operations to construct a spectral response surface; identifying regions of abrupt curvature changes to determine candidate pathogen locations; extracting radial fluorescence intensity distribution curves; calculating attenuation gradients and transition band width matching rules to determine pathogen types; acquiring temporal fluorescence intensity; screening locations where the intensity change rate exceeds an activity threshold as active pathogen locations; identifying the diffusion axis based on spatial distribution; calculating the spatial density gradient based on statistical density changes; coupling the intensity change rate to calculate the diffusion rate and determine the warning region; identifying abnormal pixels within the warning region; verifying continuous growth characteristics through temporal tracking; confirming and marking early infection areas. This invention improves detection accuracy and timeliness, enabling early warning.
Owner:JILIN UNIV FIRST HOSPITAL

A biomarker for predicting unexplained recurrent spontaneous abortion and application thereof

The application discloses a biomarker for predicting unexplained recurrent spontaneous abortion and application thereof, and belongs to the technical field of molecular diagnosis and molecular biology. By comparing serum detection of 45 unexplained recurrent spontaneous abortion patients, it is found that the expression level of miR-142-3p in the serum of the unexplained recurrent spontaneous abortion patients is obviously higher than that of normal pregnant women. Compared with the normal pregnant women, the peripheral blood CD4 + CD25 + Treg cell level of the unexplained recurrent spontaneous abortion patients is significantly increased. By detecting the expression level of miR-142-3p, the unexplained recurrent spontaneous abortion patients can be pre-judged, so that the miR-142-3p can be used as an important index for clinically diagnosing and evaluating unexplained recurrent spontaneous abortion.
Owner:SHENZHEN HOSPITAL OF UNIV OF CHINESE ACAD OF SCI (GUANGMING)