5results about How to "Calculation logic is simple" patented technology

This invention belongs to the field of power monitoring technology and discloses a brightness balancing and regional smoothing fusion algorithm for power monitoring images. The method includes: image denoising, using mean filtering and median filtering to smooth the image; image registration, performing optimal matching on two or more images obtained from different sensors, at different times, or from different angles; and image region fusion, smoothly fusing images with different angles and brightness contrasts. This method is applicable to panoramic video monitoring systems. Designed specifically for the complex lighting and high electromagnetic interference characteristics of power operation sites, this invention effectively eliminates on-site noise through adaptive preprocessing, and achieves a balance between global brightness uniformity and local detail preservation through layered brightness balancing, solving the problems of incomplete brightness balancing and detail loss in power scenarios encountered by general algorithms.

The invention discloses a line loss segmentation monitoring method and system for a power distribution master station and a fusion switch, and particularly relates to the technical field of power distribution network line loss, and the system comprises a line segmentation module, a segmentation interval data collection module, a segmentation interval line loss calculation module, a segmentation interval line loss correction module, and a segmentation interval abnormity processing module. Fusion switches are installed on a line according to a certain distance, measurement data of the fusion switches at the two ends of a line segment are collected through a main station, the basic line loss value and the line loss rate of the line segment are calculated, for a section containing a distributed power supply, the line loss influence coefficient and multi-scene compensation of the distributed power supply to the line segment are introduced, and the line loss value is calculated and corrected in real time. Based on the real-time corrected line loss value, in combination with the preset floating value, the threshold interval is constructed, the line loss abnormity of each line segment on the target to-be-monitored line is judged, the abnormal line segment is positioned, the line segmentation electric quantity metering is realized, the calculation precision under all working conditions is improved, the abnormity management is realized, and the operation and maintenance management complexity is reduced.

The invention discloses a DDR-based high-speed data sending method, and belongs to the technical field of data transmission. The method is applied to a data transmission system comprising an FPGA main control chip, a DDR cache module, an NVME storage module and an optical fiber sending module. The method comprises a data receiving and preprocessing step, a DDR cache writing step, a cache data reading step, a data storage step and a data sending step. According to the method, the DDR memory is used as a high-speed cache medium, the double data rate transmission characteristic of the DDR and a DMA direct memory access mechanism are utilized, efficient data carrying is achieved, and the bandwidth limitation of a traditional bus is broken through. An annular queue is adopted to manage a storage space, read-write parallelization of double DDR groups is realized through a ping-pong operation mode, and a flow control mechanism is set to coordinate upstream and downstream data streams. The method is suitable for video monitoring, radar signal processing and other application scenes needing continuous high-speed data output.

The invention provides a normalization calculation method, device and equipment based on an FPGA (Field Programmable Gate Array). The method comprises the following steps: searching a maximum value from a plurality of elements of an input vector, and subtracting the maximum value from each element in the input vector to obtain a translation value corresponding to each element; extracting an integer part and a decimal part corresponding to each translation value, and respectively determining a first result corresponding to each integer part and a second result corresponding to each decimal part; obtaining an index result corresponding to the translation value according to the first result and the second result corresponding to each translation value; determining a normalized reference value based on an exponential result of all the translation values; and obtaining a normalization result corresponding to each element in the input vector based on the index result of each translation value and the normalization reference value. Therefore, computational logic is simplified, resource consumption is reduced, and normalized exponential function operation is performed with high precision on the basis.

The invention discloses a low-delay streaming voice wake-up method and device for an embedded terminal, is applied to the technical field of data processing, and adopts a GRU as a backbone architecture for the requirements of low power consumption and high real-time performance of voice wake-up of the embedded terminal. The original audio is segmented and reconstructed through time domain lightweight preprocessing, and the FFT overhead is eliminated through linear layer mapping; building a multi-layer GRU full-causal streaming coding network, wherein no sliding window cache exists, and the memory bandwidth occupies O (1); outputting Token probability distribution containing Blank through a CTCLoss training module, and directionally extracting a target Token probability; constructing a target index sequence based on the target wake-up word and a CTC protocol, and setting three types of state transition rules to generate anti-interference decoding information; and a non-Top-K pruning decoding mechanism is adopted, an attenuation factor and threshold judgment is combined, a judgment result with constant calculation complexity and low false and missing wakeup is generated, and subsequent interaction is triggered if the judgment result succeeds.