54results about How to "Realize visual analysis" patented technology

The invention discloses a big data intelligent control bag-type dust collector optimization control method and system. The method comprises the following steps: S1, establishing a physical working model; S2, establishing a big data analysis model; S3, selecting an influence variable and environment information; S4, performing data analysis by utilizing the big data analysis model, and establishinga mathematical prediction model of a bag-type dust removal system; S5, solving a coupling optimal solution; and S6, carrying out visual representation. The system comprises a physical working model establishing module, a big data analysis model establishing module, an information screening module, a mathematical prediction model establishing module, an optimal solution calculating module and a visual representation module. Energy conservation and efficiency improvement of a bag-type dust removal system of a coal-fired power plant are taken as the research direction, an optimal scheme is provided for optimized operation of the bag-type dust removal system, the problem that pollutant emission is deeply reduced by equipment and energy consumption is high is solved, dust removal can be optimized, the utilization efficiency of dust removal equipment/system is improved, and the production cost is reduced.

The invention discloses an ecological environment health quality assessment method. The ecological environment health quality assessment method comprises the following steps that video data of a to-be-detected area is collected through an unmanned aerial vehicle; a map of the to-be-detected area is generated through a map generation module; a monitoring point distribution map and a robot walking path are generated based on an input monitoring target and the generated map of the to-be-detected area; the robot is adopted to complete the arrangement of monitoring devices at monitoring points based on the monitoring point distribution map and the robot walking path; the data of ecological environment parameters are collected based on the monitoring devices, and a wireless communication modulesends the parameter data to a monitoring terminal; and after the monitoring terminal receives the data and completes the preprocessing of the target data, real-time weather data mining on each weatherforecasting base station is performed through a network crawler module, the assessment of the current ecological environment is completed based on the completed pre-processed data and corresponding real-time weather data. The ecological environment health quality assessment method greatly improves the accuracy of the monitoring result, and is convenient to operate and high in flexibility.