10results about How to "Calculation logic is simple" patented technology

The invention discloses a method, a device and equipment for monitoring a vehicle-mounted air filter and a vehicle. The method comprises the following steps of: obtaining alarm pressure of an air inlet resistance sensor according to a theoretical life curve of the vehicle-mounted air filter; the state of the engine and the air inlet resistance measured by the air inlet resistance sensor are obtained in real time; and when it is detected that the engine is in the preset operation state, the air inlet resistance is larger than or equal to the alarm pressure and lasts for preset time, the vehicle is controlled to send out a first alarm signal. The vehicle-mounted air filter is monitored through the existing air inlet resistance sensor of the vehicle, other sensors and communication systems do not need to be added, the structure is simple, and cost is lower. The air inlet resistance measured by the air inlet resistance sensor is directly compared with the alarm pressure, only the air inlet resistance condition needs to be considered, factors such as the air quality and the air inlet amount do not need to be considered, the computational logic is relatively simpler, and the requirement for the operational capability of the ECU is low. The user can be accurately guided to maintain the air filter, and meanwhile, the user can reasonably plan the maintenance time, and normal work is prevented from being influenced.

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 relates to the technical field of vector processors, and discloses a multi-scene multi-algorithm adaptive vector memory access controller implementation method, which comprises the following steps that a memory access control module acquires a configuration signal of an upper computer, determines a data reading mode and algorithm parallelism and generates a memory access control signal; the memory access state module responds to the memory access control signal and generates a reading control instruction and a writing control instruction; the source data module responds to the reading control instruction, reads source data from a storage resource, and sends the source data to a computing resource for data operation to obtain result data; and the result data module responds to the writing control instruction, obtains result data from the computing resources and writes the result data into the storage resources. According to the method, the algorithm implementation modes can be flexibly selected according to the algorithm parallelism degree, the data batch number and the data point number, so that better vector memory access performance is obtained under different application scenes or different data dimensions.

The present application relates to the technical field of energy storage device design, transportation and safety detection, and discloses a method and device for determining the center of gravity of an energy storage container, which comprises the following steps: calculating the total weight of the internal devices of a target energy storage container according to the number and estimated weight of each type of device in the target energy storage container; dividing the target energy storage container into multiple partitions and calculating the total weight of the internal devices of each partition; calculating the center of gravity coordinates of each partition according to the center coordinates of each partition; and calculating the target center of gravity coordinates of the target energy storage container according to the net weight, factory center of gravity coordinates and total weight of the internal devices of the target energy storage container, and the total weight of the internal devices and center of gravity coordinates of each partition.

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 relates to a gyroscope alignment method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a plurality of image frames acquired in the process that the mobile terminal moves back and forth along a single axial direction, and a plurality of gyroscope parameters detected in the process; the plurality of image frames are acquired by a camera module of the mobile terminal; and determining the time delay of the gyroscope relative to the camera module based on the plurality of image frames and the plurality of gyroscope parameters, so as to perform time alignment on the gyroscope and the camera module based on the time delay.

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 provides a contribution degree-based bad root cause analysis method and system, and relates to the technical field of bad root cause analysis, and the method comprises the steps: carrying out the defect rate calculation based on the preprocessed original processing data, so as to obtain the product defect rate; performing production path identification and production path combination based on the preprocessed original processing data to obtain product resume data; carrying out data splicing on the product reject ratio and the product resume data so as to construct the reject ratio under each production path combination; contribution rate calculation is carried out based on the reject ratio under each production path combination so as to obtain the contribution rate of each production path combination in the reject ratio; and sorting and screening the contribution rate of each production path combination in the reject ratio to obtain a suspicious bad root cause. By calculating the contribution rate, the influence degree of different production path combinations on the product badness in the whole machining process flow can be quantitatively evaluated, so that the potential process defect root cause can be identified more accurately.

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.