9results about How to "Strong precision" patented technology

The application relates to the field of biomedical technology, and discloses a diagnostic agent for identifying melanoma molecular subtype typing and application, wherein the diagnostic agent comprises a first antibody specifically combined with a SOX10 protein and a second antibody specifically combined with an EGR1 protein; the diagnostic agent can be applied to preparation of a diagnostic product for evaluating the prognostic effect of a melanoma patient, preparation of a diagnostic product for predicting the treatment sensitivity of melanoma to a BRAF inhibitor, and preparation of a diagnostic product for guiding an individualized treatment scheme of melanoma. The diagnostic agent for melanoma molecular subtype typing can be directly transformed into clinical practice, and can assist in realizing real individualized treatment.

This invention provides a nonlinear time-series estimation method for the state of health (SOH) of lithium batteries, comprising: collecting feature data during the charge-discharge cycle of the lithium battery and generating a multi-channel standardized time-series dataset; extracting features and compressing dimensions of the data through an encoder; reconstructing and denoising the data through a decoder to output sequence features; mining the global correlation between feature sequences to obtain a context vector; further obtaining the SOH estimation result and synchronously updating the parameters. This method effectively suppresses model overfitting while introducing an improved KL divergence to prevent posterior collapse, achieving high-precision and robust estimation of the SOH of lithium batteries.

The present disclosure relates to a liquid flow measurement structure and a measurement system using the same. The measurement structure comprises a flow channel body, an electrode sheet assembly arranged inside the flow channel body, the electrode sheet assembly comprising a plurality of capacitive sensing electrode sheets, and a digital capacitive sensing assembly connected to the electrode sheet assembly through signal lines, configured to collect capacitive signals of the plurality of capacitive sensing electrode sheets and output capacitive data associated with liquid level height. The plurality of capacitive sensing electrode sheets are arranged in a multi-layer grid structure inside the flow channel body, the multi-layer grid structure is distributed along the flow direction of the flow channel body, and a single layer grid structure is configured to arrange a single capacitive sensing electrode sheet. Alternatively, part of the capacitive sensing electrode sheets in the electrode sheet assembly are arranged in the sidewall of the flow channel body. The present disclosure has the advantages of simple structure, low cost, high reliability, and adaptability to various extreme application scenarios.

The present application relates to a kind of dual optical path nitrogen dioxide measurement system and method based on blue laser, using dual-wavelength laser cavity enhanced absorption spectroscopy technology, carries out NO2 absorption measurement under 405nm and 410nm wavelength, and combined with high reflectivity optical resonator, improve detection precision and sensitivity.Through dual-wavelength comparison method, using dual-wavelength absorption spectroscopy analysis, calculate absorbance difference, to effectively eliminate the influence of environmental factors on measurement accuracy, improve measurement reliability.Using more than 99.9% high reflectivity mirror, to realize high reflectivity optical resonator enhancement technology, laser is reflected in resonator multiple times, optical path is extended hundreds of times, improve NO2 absorption signal intensity, realize ppb grade ultra-low concentration measurement.Compared with traditional optical method, the system has lower cost, higher accuracy and stronger environmental adaptability, provides an efficient, stable solution for atmospheric pollution monitoring.

This invention discloses a method for detecting the alumina content in aluminum-manganese-calcium alloys, mainly solving the technical problem that existing methods cannot accurately and rapidly detect the alumina content in aluminum-manganese-calcium alloys. The technical solution is as follows: a method for detecting the alumina content in aluminum-manganese-calcium alloys, comprising: 1) sample preparation: after removing the oxide layer on the sample surface, the sample is placed in a reagent bottle containing organic solvent for storage; 2) alumina extraction from the sample: first, alumina is extracted from the sample by electrolysis, the sample is placed in an electrolytic cell for electrolysis, the sample is the anode, a platinum electrode is the cathode, and a saturated calomel electrode is the reference electrode; 3) detection of alumina in the sample: the filter membrane and filter material from step 2) are placed in a platinum crucible, and the filter membrane is removed by high-temperature ashing; 4) calculation of the mass percentage of alumina in the aluminum-manganese-calcium alloy. The method of this invention for determining the alumina content in aluminum-manganese-calcium alloys has a relative standard deviation (RSD) of less than 3%, indicating good precision, accuracy, and reliability of the detection data.

The application discloses a generator set vibration trend early warning method based on a deep timing model, comprising the following steps: collecting generator set operation data and performing data preprocessing; constructing an enhanced Neural RDE model; running a conditional rough driving construction unit to generate a logarithmic signature feature set; running a frequency band gate vector field unit to generate a gate coefficient set and a hidden state sequence; running a physical consistency constraint unit to calculate and generate a constraint signal sequence; based on the hidden state sequence, the logarithmic signature feature set and the constraint signal sequence, calculating and generating a trend index set and a risk index set; calculating a joint loss function and updating model parameters; inputting a real-time collected continuous data stream and combining the model parameters and a threshold set to generate a vibration trend early warning result and an early warning lead time. The application significantly improves the vibration trend prediction accuracy, prolongs the early warning lead time and enhances the operation reliability under complex working conditions.

This invention discloses a network traffic anomaly detection method based on the fusion of SSM and Transformer, belonging to the field of network traffic monitoring technology. The method includes the following steps: S1, construction of raw traffic observations; S2, construction of joint feature representations; S3, dual-view sample generation: constructing raw view samples and generating corresponding perturbation view samples; S4, multi-scale variable behavior fragment decomposition: performing fragment decomposition on the raw view samples and perturbation view samples at different time scales; S5, hybrid coding feature extraction: extracting intra-session dynamic features using the SSM modeling branch and extracting inter-session correlation features using the Transformer modeling branch; S6, normal behavior representation learning; S7, traffic anomaly determination. This invention captures features at different time granularities through a multi-scale patch hierarchical structure, achieving high-precision and high-stability time-series anomaly detection.

The invention discloses an anti-interference miniature interface circuit for an infrared focal plane detector, which relates to an infrared focal plane detector and comprises a detector interface, a signal input conditioning circuit, a signal differential output conversion circuit and a miniature interface which are connected in sequence, outputting a detector signal to a micro interface through the signal differential output conversion circuit, wherein the detector interface is used for accessing a detector; the bias voltage circuit comprises a fixed bias voltage part and an adjustable bias voltage part, the fixed bias voltage is connected to a working power supply, and the adjustable bias voltage is completed based on a voltage reference circuit chip and an operational amplifier and used for providing low-noise bias voltage for the detector interface; and the time sequence level conversion circuit is connected between the micro interface circuit and the detector and is used for outputting a time sequence signal provided by an external system to an interface circuit of the detector through a level conversion chip. Various interferences such as electromagnetism can be effectively suppressed, back-end signal processing and transmission are facilitated, and universality is achieved.

This invention relates to the field of environmental linkage alarm technology, and discloses a linkage alarm method and system based on environmental monitoring, including: dividing the parking area grid into multiple sub-areas and initializing the wind speed of the sub-areas as the environmental wind speed; correcting the wind speed of the sub-areas based on the building layout; executing an environmental vibration judgment strategy; estimating the equivalent wind speed experienced by the electric vehicle based on triaxial acceleration; and determining whether the environmental wind speed is a vibration trigger source based on the characteristics of the surrounding vibration; executing a single vehicle physical state assessment strategy; calculating the vibration amplitude of the acceleration and the tilt angle of the electric vehicle based on triaxial acceleration; executing an alarm and collaborative suppression strategy based on a threshold assessment of the physical state; setting different alarm levels according to the physical state; executing a theft detection and response strategy according to the alarm level; calculating the direction index of the average acceleration based on triaxial acceleration; calculating the theft confidence based on the kurtosis of the resultant acceleration; and improving the orderliness and intelligence of the alarm.