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

The invention discloses a road congestion status calculating method based on geomagnetic devices. The method comprises following steps of: laying geomagnetic devices in each lane on a road, wherein the geomagnetic devices acquire vehicle state information on the road in real time and transmit the vehicle state information to a database in a wireless communication manner; calculating, by using a server, a road-occupying ratio of the road within a certain time according to the vehicle state information received by the database; comparing the road-occupying ratio of the road within the certain time with a congestion index Y and a unblocked index C, and obtaining a road status according to a comparison result; and releasing the obtained road status in a guide screen which displays pass states in different colors. The method may fast and accurately acquire the congestion status.

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 fuel cell system monolithic voltage consistency and fault intervention system, comprising: a data acquisition module, a data learning module, a monolithic optimization module, a fault intervention module, and a fuel cell intelligent algorithm controller; The system adopts artificial intelligence deep learning model and recursive algorithm to obtain the neural network structure for calculating fuel cell single-chip data and stack status, and uses the neural network to establish the fitting relationship between battery control parameters and running time and multiple single-chips to realize fuel cell The prediction of battery monolithic consistency and stack state solves the one-sidedness of cell voltage consistency prediction results in the prior art, effectively ensures the prediction accuracy of monolithic consistency, and improves the cell voltage consistency prediction results reliability.

The invention discloses an intelligent management system for operation and maintenance of a distributed photovoltaic power generation system based on cloud computing and the Internet of Things. The system includes a power station position acquisition module, battery pack quantity statistics module, battery pack angle detection module, equipment operation parameter monitoring module, external environment parameter detection module, data processing and analysis module, alarm terminal, control terminal, database and display terminal, This system solves the problem by comprehensively detecting and analyzing the inclination angles of the power generating battery groups corresponding to each power station, the operating parameters of each equipment corresponding to each power station, and the external environment parameters corresponding to each generating battery group of each power station. Some have one-sided problems with the content of the operation and maintenance management of the photovoltaic power generation system, and then realize the intelligent adjustment of the light-receiving area corresponding to the power generation battery group, and at the same time greatly improve the management efficiency of the photovoltaic power generation system.

This invention relates to a supportive software system creation method and its system, which is used to create a telecom operation supportive system software structure comprising the charging, settlement, operation, accounting, customer service or business analysis. The system comprises the following: a reference system to create the whole software system of the supportive system; a creation system to establish the supportive software system; a supportive software system by use of creation system.

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 present invention is applicable to the computer field, and provides a private domain management quality inspection method and system, by monitoring the dynamic data of each product in the online self-owned platform and sales information; analyzing the dynamic data of the product with the set comparison rules , adjust the sales strategy of the product according to the analysis results, and the comparison rules include: comparing the current online visits of the product per unit time with the historical online visits of the same product Comparing the dynamic data of the product with the dynamic data of the most popular products ranked last, comparing the current total visits with the historical total visits per unit time, etc., can monitor the quality of private domain operations in real time and provide consumers with Personalized message push can prevent customer loss in time and increase customer stickiness. It solves the problem of one-sidedness and lag in the adjustment of business strategies during the artificial quality inspection of private domain operations.

The invention discloses a method for constructing an index system oriented to overall network performance, which includes the following steps: step S1, drafting a set of key indexes, selecting key performance indexes, and determining the set of indexes; step S2, refining indexes of the same layer and calculating weights, Construct the weight factor of the performance index relative to the overall performance; step S3, calculate the weight of the cross-layer index, realize the weighted calculation of the index weight by the high-level relative to its adjacent low-level, and further realize the weighted calculation of the index weight by the higher-level relative to the high-level, forming a weighted Overall performance evaluation function. The present invention selects performance indicators from multiple levels and aspects to evaluate the overall performance of the network, effectively solves the problems of one-sidedness and limitations in the evaluation process of a single performance index in the prior art, and better reflects the overall performance of the system and the group efficacy.