9results about How to "Optimize calculation method" patented technology

The invention provides a method and device for detecting a melting layer in cloud, electronic equipment and a storage medium, and belongs to the technical field of remote sensing image processing, and the method comprises the steps: obtaining a melting layer probability value, judged in each distance library, between each radar observation profile of a to-be-observed region and a profile template; and calculating the melting layer probability values corresponding to all the distance libraries in each radar observation profile, determining whether the melting layer in the cloud exists in the to-be-observed area, and outputting the height of the melting layer in the cloud. According to the method and the device for detecting the melting layer in the cloud, the electronic equipment and the storage medium provided by the invention, the non-dimensionalized radar observation profile including the reflectivity factor template and the Doppler velocity template is used for matching the observed radar observation profile, so that the probability that the melting layer appears in each distance library is calculated; and empirical parameters are not needed, and a temperature profile or a 0 DEG C layer height is not needed, so that the independence of radar identification of a melting layer and the reliability of actual operation are enhanced. The calculation mode is simple and the result is visual.

The invention discloses a wind power low-frequency power transmission line time domain model identification pilot protection method and system, and the method comprises the steps: collecting the voltage and current of an offshore wind power low-frequency power transmission line, specifically, collecting the A, B and C three-phase voltage and current data of a home terminal and the three-phase current data of an opposite terminal, carrying out the phase-mode conversion of the collected voltage, and carrying out the phase-mode conversion of the collected voltage; the phase-mode transformation matrix can adopt a Clark transformation matrix; when a set condition is met, protection is started; for the collected current data, eliminating the current flowing into the shunt reactor, and subtracting the current of the shunt reactor from the measured current to obtain an actual line differential current; calculating opposite-end voltage current by using the local-end voltage current; determining a first derivative of the differential current variable quantity and a second derivative of the differential voltage variable quantity to obtain a correlation coefficient of the differential current voltage; and comparing the calculated differential current and voltage correlation coefficient with a setting value, and when a fault phase line discrimination condition is satisfied, determining that a corresponding phase has a fault.

The invention relates to the technical field of data processing, in particular to an audit data analysis method and system based on big data. The method comprises the following steps: acquiring each numerical feature dimension and each text feature dimension of audit data; determining the information amount of each numerical feature dimension; determining the importance degree of each numerical feature dimension; taking the ratio of the number of data types of each text feature dimension to the number of audit data as the importance of each text feature dimension; determining a feature distance between each piece of audit data and other audit data; and taking the feature distance as a distance between calculation data in an LOF algorithm, and obtaining a local outlier factor of each data point through the LOF algorithm so as to complete auditing data analysis based on big data. According to the method, the calculation mode of the feature distance is improved by determining the information amount and the importance degree of each numerical feature dimension and the importance degree of each text feature dimension, so that the LOF algorithm can more accurately distinguish normal data from abnormal data.

The present invention relates to the field of data processing technology, and in particular to an audit data analysis method and system based on big data. The method includes: obtaining each numerical feature dimension and each text feature dimension of the audit data; determining the amount of information of each numerical feature dimension; determining the importance of each numerical feature dimension; taking the ratio of the number of data types of each text feature dimension and the number of audit data as the importance of each text feature dimension; determining the characteristic distance between each audit data and the remaining audit data; taking the characteristic distance as the distance between the calculated data in the LOF algorithm, and obtaining the local outlier factor of each data point through the LOF algorithm, so as to complete the audit data analysis based on big data. The present invention improves the calculation method of the characteristic distance by determining the amount of information and importance of each numerical feature dimension and the importance of each text feature dimension, so that the LOF algorithm can more accurately distinguish normal data from abnormal data.

The invention provides a design method for optimizing a photovoltaic module laying mode and a related product. The design method for optimizing the laying mode of the photovoltaic module comprises the steps of obtaining survey data of a to-be-designed area and the surrounding environment of the to-be-designed area; determining shadow arrangement of the to-be-designed area according to the survey data; calculating irradiation dose distribution of the to-be-designed area according to shadow arrangement; dividing a photovoltaic panel laying area from the to-be-designed area according to the irradiation dose distribution; and the arrangement mode of the photovoltaic units in the photovoltaic panel laying area is planned according to the size of the space occupied by the single photovoltaic unit to be laid. According to the arrangement method, the irradiation dose distribution of the to-be-designed area is fully considered, the situation that the photovoltaic module is low in power generation efficiency due to the fact that the obtained solar irradiation dose is insufficient is avoided, and the space of the photovoltaic panel laying area can be fully utilized. The whole design work is completed at a time, the process is efficient, and design cost is low.

The present application relates to the technical field of industrial automation plate positioning, and specifically relates to a method for acquiring a six-point clamping jaw fixing point of a general rigid plate, which comprises the following steps: (1) configuring a file and importing a standard DXF file containing a graph, analyzing and acquiring a processing graph; determining whether the processing graph is connected at the beginning and the end and closed; if yes, the next step is entered; (2) determining whether the processing graph is legal; if yes, a limiting position is drawn, and a calculation auxiliary line is generated for user dragging; (3) segmenting the legal processing graph, and acquiring graph data after segmentation; after the graph data after segmentation is offset and expanded outward according to the radius of a positioning clamp or a positioning wheel, a round corner compensation is performed, a moving path of the positioning clamp or the positioning wheel is obtained, an auxiliary line that can be moved by a user is generated, and a positioning point is determined. The method can realize high-precision, simple operation, strong universality and intuitive calculation process of plate positioning for supporting complex special-shaped plates.

This invention provides a pumping device and a method for calculating the permeability coefficient. The pumping device includes a packing system, a pumping control system, a sealing system, and an observation system. The packing system includes an upper packer, a lower packer, and a packer pressurization device. The pumping control system includes terminal equipment and a variable frequency pump. The outlet of the variable frequency pump is connected to the ground via an outlet pipe. The sealing system includes a lower conversion chamber, an upper conversion chamber, a connecting pipe, and a sealing device. The observation system is used to collect first pressure data of the test layer, second pressure data of the upper part of the test layer, and flow rate data of the outlet pipe. The test layer is located between the upper and lower packers. The terminal equipment is connected to the observation system and the variable frequency pump, respectively, and is used to control the variable frequency pump to pump water based on the first pressure data and to calculate the permeability coefficient based on the relevant data. This invention is applicable to multi-layer aquifer testing and improves the accuracy of permeability coefficient calculation.

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 an elevator guide rail automatic detection and calibration system based on machine vision. The elevator guide rail automatic detection and calibration system comprises an image acquisition module based on system architecture, an image preprocessing module, a feature extraction and matching module, a straightness and flatness calculation module and a calibration execution module. Compared with the prior art, the method has the advantages that the detection precision is high; the efficiency is high; the real-time performance is high; the automation degree is high.