4results about How to "Realize visual analysis" patented technology

This invention belongs to the field of engine turbocharger testing technology and discloses a method and system for evaluating the transient response of engine turbochargers. The method includes: test preparation, operating condition setting, transient excitation and data acquisition, calculation of speed increment time, calculation of intake pressure to establish efficiency indicators, and two-dimensional diagnostic evaluation. This invention effectively solves the technical problem that existing evaluation parameters cannot distinguish the root cause of response lag, and has advantages such as accurate positioning and strong guidance. It is particularly suitable for the research and optimization of turbocharger systems with stringent transient response requirements, such as hydrogen fuel cell internal combustion engines.

The application relates to the technical field of image detection, and discloses a combined template production quality detection method and system, wherein the method comprises the following steps: collecting a side surface image by adopting an RGB industrial camera in combination with multi-angle directional illumination and a signal-to-noise ratio self-feedback mechanism; performing channel selection, edge enhancement and dynamic narrowband ROI extraction; identifying interlayer boundary lines by adopting a direction angle filtering and line segment merging mechanism; establishing an offset vector function; and outputting offset and root mean square error results. Compared with the detection mode for judging the pressing quality of a multi-layer plywood in the prior art, which depends on manual visual inspection or a simple image threshold method, especially under actual production conditions that there is slight misalignment between the board layers and the edge texture contrast is insufficient, the technical problem that accurate identification and quantitative evaluation of the interlayer misalignment of the plywood side surface cannot be realized is solved; and due to the structured boundary extraction and quantitative vector modeling mechanism, the detection accuracy and the automation degree of slight misalignment defects are improved.

The application discloses a kind of approach and departure flight operation and flight plan multi-time scale deviation measurement method, belong to air traffic management technical field, including steps: constructing approach and departure flight flow time series;Coarse-grained approach and departure flight flow time series;Calculate the sequence mode distribution probability in coarse-grained time series;Calculate the permutation entropy PE value of sequence mode distribution;Calculate the IMPE value of approach and departure flight flow time series;Define and quantify the deviation of multi-scale approach and departure flight flow, draw multi-scale deviation curve;Quantitative analysis similarity relationship between the deviation of different airports;Single-airport deviation evolution analysis plane is constructed, and evolution relationship is analyzed;Define and calculate the trough characteristics of cross-day deviation;Analysis the similarity between the cross-day deviation of approach and departure flight flow of different airports.The application can solve the problems existing in the measurement of the deviation measurement, such as single measurement dimension, insufficient collaborative analysis capability, difficulty in completely covering special operation period, and incomplete description of deviation chain.

This invention discloses a method and system for energy efficiency optimization management of photovoltaic (PV) power plants, belonging to the field of PV power plant optimization management technology. It includes the following steps: S1, real-time acquisition of PV power plant operation data and data preprocessing; S2, identification of multi-feature mutations in equipment during PV power plant operation, identification of equipment operation anomalies, and generation of anomaly event records; S3, receiving anomaly event records, evaluating the coordinated fluctuation of various characteristic anomalies, identifying the anomaly type, and performing self-healing maintenance adjustments; S4, judging the effectiveness of self-healing maintenance adjustments, and optimizing the algorithm and self-healing strategy based on PV power plant operation data, anomaly event records, and the effectiveness of self-healing maintenance adjustments. This solves the problem that due to the increased data acquisition frequency at the station and string levels, the extremely short duration of anomaly events leads to diluted and missed anomaly signals, making timely manual response difficult.