31results about How to "Improve the effectiveness of analytical processing" patented technology

The invention discloses a large-area soil heavy metal detection and spatial and temporal distribution characteristic analysis method and system, and the method comprises the following steps: S1, setting a large-area soil heavy metal detection and spatial and temporal distribution characteristic analysis system; S2, constructing an analysis model for large-area multiple heavy metal element spatial distribution; s3, determining an analysis object; s4, sampling and detecting the urban surface soil in each gridding area; and S4, substituting the sampled composite detection data into the analysis model, analyzing the soil heavy metal content and geographic information, and drawing a total content distribution diagram of the four heavy metal elements. The system provided by the invention comprises a remote server, a plurality of front-end machines and terminal equipment. According to the method, the distribution characteristics of the heavy metal elements in the large area are analyzed by screening key detection objects, constructing a new mathematical model and comprehensively utilizing sampling point data and geochemical survey data, the area coverage of the analysis result is complete, the accuracy is high, and the automation degree of the analysis process is high.

The invention discloses a pulse accumulation correction method based on morphology and optimized gray model, which includes preprocessing the accumulation pulse data; then combining the mathematical morphology with the gray model and first performing correction processing on the pulse rising section and falling section respectively , and then integrate it into a complete pulse signal to realize the correction of the accumulation of the entire pulse signal. And according to the deficiencies of the traditional gray model, the hyperbolic tangent transformation function is cleverly used to optimize the gray model. The present invention uses the mathematical morphology transformation and the optimized gray model to correct the rising section and the falling section of the accumulation pulse signal respectively, and combines the mathematical prediction model from the aspect of image processing to more accurately identify the single-pulse accumulation and reconstruct the double-peak pulse accumulation Signals, improve nuclear signal analysis and processing capabilities, and provide guarantees for security applications such as nuclear technology.

The invention discloses a movable water quality automatic emergent monitoring system which comprises a moving carrier, an automatic water fetching and sample reserving module, a water sample pretreatment module, a multi-parameter automatic detection module, a monitoring module, a display screen, a keyboard and a remote transmission module, wherein the automatic water fetching and sample reserving module, the water sample pretreatment module, the multi-parameter automatic detection module, the monitoring module, the display screen, the keyboard and the remote transmission module are arranged on the moving carrier; the output end of the automatic water fetching and sample reserving module is connected with the input end of the water sample pretreatment module; the output end of the water sample pretreatment module is connected with the input end of the multi-parameter automatic detection module; and the output end of the multi-parameter automatic detection module is connected with the monitoring module which is connected with the display screen, the keyboard and the remote transmission module. The movable water quality automatic emergent monitoring system can simultaneously monitor a plurality of parameters, can achieve the functions of sampling, sample retention, analysis, data upload, automatic alarm and the like and can meet the requirement of emergent water body pollution accidents on the water quality monitoring.

The invention provides an industry-oriented big data intelligent analysis service system, including a cluster management subsystem, a data collection subsystem, an AI analysis modeling subsystem, an AI service configuration tool, an analysis display tool and a data service subsystem. The industry application-oriented big data intelligent analysis service system of the present invention can be combined with industry-specific solutions to quickly build a big data intelligent analysis application system oriented to different industry applications, which can effectively improve the industry's big data analysis and processing capabilities. The basic platform for analysis can quickly expand various industrialized big data analysis application products.

The invention discloses a method for synchronizing clocks of secondary devices on the basis of double time correction. The method includes allowing information protection master stations to actively initiate network time synchronization with information protection substations and recording time difference between the information protection master stations and the information protection substations; allowing the information protection substations to initiate network time synchronization with the in-station secondary devices and recording time difference between the information protection substations and the in-station secondary devices; forming second-level rough time amendment values of each secondary device by the information protection master stations according to the time difference between the information protection master stations and the information protection substations and the time difference between the information protection substations and the in-station secondary devices;carrying out correction by the information protection master stations according to the second-level rough time amendment values when power grids fail and roughly synchronizing failure data; acquiringmillisecond-level precise time amendment values by the information protection master stations by the aid of the failure data and carrying out correction to precisely synchronize the clocks of the secondary devices. The method has the advantages that reference bases can be provided for dispatching decision making, the method is beneficial to quickly restoring power supply, loss due to failure can be reduced, and power grid operation monitoring can be powerfully guaranteed.

The invention provides a method for active spectral clustering of remote sensing images. Firstly, characteristics of the remote sensing images are extracted, and a k-NN graph is established and used for carrying out spectral clustering on the remote sensing images; then, the remote sensing image with the most chaotic label in neighborhoods is selected out actively, questioning is carried out on sides of the remote sensing image with the most chaotic label with the sides of the neighborhoods to obtain paired constraint information, the k-NN graph is purified by using the paired constraint information, and the spectral clustering is carried out on the remote sensing images again based on the purified k-NN graph. By means of the method for the active spectral clustering of the remote sensing images, data marker difficulty is lowered, and requirements for the professional knowledge of operators are not high; the accuracy of clustering results of the remote sensing images and analysis processing capability on the massive remote sensing images are improved significantly.

The invention discloses a method and device for processing rail transit data. The method includes: collecting generated message data, sending the collected message data to a preset message middleware, and then sending the message in the message middleware The data is distributed to each preset server according to a preset data distribution method, and then the sub-message data in each server is analyzed, and the parsed sub-message data is sent to a preset display for display. Compared with the prior art, the present invention distributes the collected message data to multiple servers through the message middleware for parsing and processing, and then sends the parsed message data to a preset display for display, thereby improving The analysis and processing capability of data messages can achieve the purpose of real-time analysis and processing.

The invention relates to an environment identification method and system for a cellular network electromagnetic interference system. The method comprises the following steps: acquiring detection dataof an antenna array and radio frequency data of a base station in an environment; preprocessing the detection data and the radio frequency data; based on the preprocessed detection data, identifying the type of the environment where the detection data is located by using an environment identification classification model; and based on the preprocessed radio frequency data, identifying the base station signal intensity of the environment where the radio frequency data is located by using a base station signal intensity regression model. Real-time analysis of the environment can be realized so that the basis of adaptive adjustment can be provided for the electromagnetic interference process of the cellular network and the power loss can be reduced.

The invention discloses a general collection system of electric power information based on a cooperative safety protection model, which includes a configuration file analysis module, a remote login module, an information processing module and a file transmission module; wherein, the configuration file analysis module is used to obtain a safety protection model Each host information in, and carry out deciphering analysis processing; Described remote login module carries out multi-threaded login according to the host information that resolves; Described information processing module generates formatted JSON data after the data that the remote host returns after logging in is processed; The file storage module stores the generated JSON data in a general extraction channel for users to use. The system converts the data transmitted by each host in the security protection model into a unified JSON format data, and provides it to the upper-level users for analysis and use through a unified common channel, shielding the underlying differences and improving the security protection against heterogeneity Analytical processing capabilities of the model.