30results about How to "Solve one-sidedness" patented technology

The invention relates to the technical field of crop genetic breeding, particularly relates to a rice variety comprehensive excellent index evaluation method. An entropy weight and efficacy combined analysis method is adopted to screen and evaluate the variety excellence, and the problems of subjectivity, one-sidedness and reliability of a rice variety evaluation method are solved, and the difficulties in comprehensively and objectively analyzing and judging the variety as good, good taste and good processing to meet the requirements of yield, quality, stress resistance and other multi-dimensional characters are overcome. The implementation of the scheme mainly comprises the following steps: (1) establishing an evaluation system; (2) acquiring index data; (3) determining index weights; (4)calculating a comprehensive index; and (5) evaluating excellent varieties.

The invention discloses a random detecting method based on a pseudo-random sequence, belonging to the technical field of signal detection and mainly solving the problems of limitation and one-sidedness existing in the prior randomness detecting method. The method comprises the following detecting steps: carrying out pretreatment of sampling or sampling modulo 2 addition on sequences to be detected, and carrying out transformation point detection on the sequences obtained after the pretreatment; selecting a standard pseudo-random sequence, and arranging the standard pseudo-random sequence in front of the pretreated sequences to form new sequences; grouping the new sequences, and calculating the accumulative sum of bits in the groups to obtain the difference values of the accumulative sums of the adjacent groups; selecting fractiles and determining critical values; comparing all the difference values with the critical values, if all the difference values are less than or equal to the critical values, confirming that the sequences satisfy the random characteristic, otherwise, confirming that the sequences do not satisfy the random characteristic. The method has the advantages of overall detection result, high reliability and good effectiveness, and can be used in the fields of random simulation, spreading code generation in a CDMA system and key stream generation in a stream cipher system.

The invention discloses a chemical wastewater treatment and discharge online monitoring and early warning management cloud platform based on an industrial Internet of Things. The plartform comprises a region division module, a pool basic parameter acquisition module, a water level detection module, an image acquisition module, an image preprocessing module, a water quality parameter detection module, a sediment detection module, an analysis cloud platform, a database and an early warning center, the image acquisition module, the water quality parameter detection module and the sediment detection module are combined with the analysis cloud platform to carry out comprehensive detection and careful analysis on water surface floating objects, water quality parameters and sediments at the bottom of the chemical wastewater pool; and the problems of one-sidedness of monitoring content and tedious detection process of a traditional monitoring mode are solved, the reference of a chemical wastewater detection result is effectively improved, a large amount of time cost and labor cost are saved, and meanwhile, the monitoring efficiency of chemical wastewater treatment and discharge is greatly improved.

The invention discloses a cell voltage consistency and fault intervention system for a fuel cell system, which comprises a data acquisition module, a data learning module, a cell optimization module, a fault intervention module and a fuel cell intelligent algorithm controller. According to the system, an artificial intelligence deep learning model and a recursive algorithm are adopted to obtain a neural network structure for calculating fuel cell data and a stack state, and a neural network is utilized to establish a fitting relationship between cell control parameters and operation time and a plurality of cells, so that prediction of the consistency of fuel cells and the stack state is realized. The problem of one-sidedness of a cell voltage consistency prediction result in the prior art is solved, the prediction accuracy of cell consistency is effectively ensured, and the reliability of the cell voltage consistency prediction result is improved.

The invention discloses a method for detecting the randomicity of a pseudorandom sequence based on random permutation, which belongs to the field of detection and mainly solves the problems of limitation and onesidedness existing in the traditional randomicity detection method. A series of random permutation processing, such as inversion or negative or random interleaving, is carried out on a sequence to be detected; statistics is carried out on an inverse sequence or a negative sequence or a random interleaving sequence obtained after the random permutation processing by a Cramer-von Mises detection method, a statistical value corresponding to the sequence is obtained, and the statistical value corresponding to the sequence is compared with a selected standard statistical value; if the statistical value is smaller than the standard statistical value, the sequence to be detected meets random properties; and contrarily, the sequence to be detected does not have the random properties. The invention enables the randomicity detection of the pseudorandom sequence to be more comprehensive in a detection result and can be applied to the fields of secret communication, aerospace, distance measurement, cryptography and automatic control.

The invention discloses a hydraulic engineering construction safety cloud monitoring method based on cloud computing and machine vision analysis technologies. The method comprises the following steps: carrying out regional division on a water diversion ditch; detecting the soil water content, the soil compactness and the soil acidity and alkalinity of the ditch area; the length, the width and the height of the ditch are detected respectively; detecting the PH value of the ditch water body and the flow velocity of the ditch water body respectively; detecting the combination degree of the ditch and the soil; the ditch soil parameters, the PH value of the ditch water body, the flow speed of the ditch water body and the combination degree of the ditch and the soil are analyzed and processed; by means of the method, efficient monitoring of the safety of the diversion canal in water conservancy project construction is achieved, the problem that a water conservancy project monitoring result has one-sidedness is solved, and meanwhile the labor cost and the time cost needed by monitoring are greatly saved.

According to the aquaculture environment real-time online monitoring method based on the Internet of Things and artificial intelligence and the big data cloud platform, the water surface image processing module and the regional environment monitoring module are combined with the processing server to monitor and analyze the aquaculture water surface environment; the problem that an aquaculture environment monitoring result has one-sidedness is solved, and damage to water quality due to the fact that floating objects exist on the water surface for a long time is effectively avoided. Meanwhile, by carefully analyzing the reflection image in the written image and the fog concentration in the environment of each sub-region, the reflection coefficient of each reflection sub-region in each reflection time period and the visual coefficient of each sub-region in each acquisition time period are counted; according to the reflection coefficient and the visual coefficient, the cameras needing to be adjusted in all the sub-regions are correspondingly and automatically adjusted, the monitoring efficiency of aquaculture environment monitoring is greatly improved, and meanwhile the authenticity and reference of a monitoring result are effectively guaranteed.

The invention discloses a high-definition electronic screen production quality intelligent monitoring and analyzing system based on machine vision. The key target part monitoring system based on the image recognition analysis technology comprises a key part monitoring selection module, a lamp bead basic information acquisition and analysis module, a lamp bead performance test information acquisition and analysis module, a lamp bead production qualification analysis module and an analysis result transmission terminal. According to the invention, the appearance information and the performance test information corresponding to the lamp beads in the electronic advertisement screens are collected, and the qualified rate corresponding to the lamp beads in the electronic advertisement screens and the qualified rate corresponding to the electronic advertisement screens are analyzed based on the collected appearance information and the performance test information. The problem that the quality monitoring of the lamp beads in the electronic advertisement screen has certain one-sidedness in the prior art is effectively solved, the situation that the use scene of the prior art is too limited is avoided, the failure rate in the use process of the electronic advertisement screen is effectively reduced, and the method has great practical significance.

The invention discloses a radar comprehensive admission ability evaluation method based on ELO grade scores, and the method comprises the steps: decomposing the radar comprehensive admission ability into a plurality of sub-abilities, describing each sub-ability through a corresponding ELO grade score, and carrying out the comprehensive judgment of the radar admission ability through an obtained chess playing result, the problems of simplification and uniqueness of an original ELO grade score calculation model are solved. In addition, the maximum possible difference delta Smax and the actual difference delta S of the two chess playing parties are introduced into score calculation to reflect the actual ability difference of the two chess playing parties, and the fairness of one-time chess playing can be reflected.

The invention discloses a high-quality power package recommendation method based on an improved collaborative filtering algorithm, and the method comprises the steps: fusing the dominant demand score of a user and the implicit demand score of the user, and obtaining an implicit and implicit package score matrix based on the demands of the user; calculating the comprehensive package similarity among different high-quality power packages according to the high-quality power packages to obtain a nearest neighbor set of the high-quality power packages; weighting the score of the target high-quality power package by taking the comprehensive package similarity among the different high-quality power packages as a weight to obtain an initial prediction score of the target user on the target high-quality power package; calculating user similarity between the target user and other users to obtain a nearest neighbor set of the target user; for a high-quality electric power package of which the target user is not scored, weighting the high-quality electric power package through a nearest neighbor set of the target user to obtain a final prediction score; and forming a recommendation set by the first plurality of high-quality electric power packages with relatively high scores. According to the method, the problems of one-sidedness, low accuracy and cold start in the high-quality power package recommendation process are solved.

The invention discloses a distributed photovoltaic power generation system operation and maintenance intelligent management system based on cloud computing and Internet of Things. The system comprises a power station position acquisition module, a battery pack quantity statistics module, a battery pack angle detection module, an equipment operation parameter monitoring module, an external environment parameter detection module, a data processing and analysis module, an alarm terminal, a regulation and control terminal, a database and a display terminal. According to the system, comprehensive detection and careful analysis are carried out on the inclination angle of the power generation battery pack corresponding to each power station, the operation parameters of each device corresponding to each power station and the external environment parameters corresponding to each power generation battery pack of each power station; the problem that the management content of an existing operation and maintenance management mode of the photovoltaic power generation system has one-sidedness is solved, intelligent adjustment of the light receiving area corresponding to the power generation battery pack is achieved, and meanwhile the management efficiency of the photovoltaic power generation system is greatly improved.