4results about How to "Long detection period" patented technology

A method for monitoring ammonia nitrogen concentration in water based on three-dimensional fluorescence spectroscopy. The present invention relates to the field of environmental monitoring and intelligent electromagnetic perception, and in particular to a method for monitoring ammonia nitrogen concentration in water based on three-dimensional fluorescence spectroscopy. The present invention aims to solve the technical problems of long monitoring cycle, lack of representativeness of sampling, complex chemical pretreatment process of water samples, and high difficulty of analysis process in existing traditional detection technologies. Method: Collect water samples and determine the ammonia nitrogen concentration of water samples; use a fluorescence spectrophotometer to scan the three-dimensional fluorescence spectrum matrix data of water samples; use a parallel factor analysis method to analyze and obtain the optimal component number M of the water sample and the N fluorescence intensities of each component; determine the organic component Cm that characterizes the ammonia nitrogen concentration of the water sample, and obtain a "component Cm fluorescence intensity-ammonia nitrogen concentration" curve; detect the ammonia nitrogen concentration of the new water sample to be tested. The method for monitoring ammonia nitrogen concentration in water of the present invention is quick, sensitive and effective. The method of the present invention is used to monitor the ammonia nitrogen concentration in water.

The utility model discloses an explosion-proof petrochemical park stink on-line detection device which comprises an explosion-proof shell and an impact type filter, a connecting hole is formed in the top of the explosion-proof shell, the impact type filter is formed by assembling a top cover, a first screen box, at least one second screen box, a third screen box and a bottom box from top to bottom, an air inlet is formed in the top cover, and an air outlet is formed in the bottom box. Particulate matter adsorption units are placed on the second screen box and the third screen box, and an air outlet pipe joint is arranged at the bottom of the bottom box and installed on the connecting hole. According to the explosion-proof online foul smell detection device for the petrochemical park, tiny microorganisms and particulate matters in air can be quickly filtered by arranging the impact type filter, and compared with a traditional air filter, the explosion-proof online foul smell detection device is more efficient; meanwhile, the filtered microorganisms and particulate matters can also be used for analyzing and detecting the microorganisms and the particulate matters; according to the sampling environment and requirements, the filtering time and the air flow can be adjusted more flexibly.

The invention relates to a method for judging the uniformity of an aluminum element in a titanium-aluminum alloy, belongs to the technical field of metal materials, and solves the problems of large test error, relatively long detection period, low position reduction degree and weak visualization degree in the prior art. According to the aluminum element uniformity judgment method, the test piece is subjected to initial heat treatment at the preset alpha phase transformation point temperature, and then the test piece subjected to heat treatment is subjected to structure observation, so that the phase transformation behaviors of regions with different aluminum contents in the test piece can be observed. And according to a structure observation result, heat treatment is performed every time when the initial heat treatment temperature is increased or reduced by 5-10 DEG C so as to reach the temperature of the alpha phase transformation point at each position, so that the uniformity of the aluminum element in the test piece is judged. According to the method, the test error can be controlled within 0.25 at.%, and the control requirement of the titanium-aluminum alloy near alpha / alpha phase region thermal mechanical treatment process on the temperature precision is met. And the method has the characteristics of high operability, short detection period, high position restoration degree, high visibility and the like.

The application discloses a kind of safety valve multidimensional coordination online detection method, belong to industrial pressure-bearing valve safety performance detection technical field, the system includes multimodal data acquisition module, data coordination processing module, intelligent decision module and man-machine interaction module, and real-time interaction is realized to data between each module through industrial ethernet or wireless communication.The method sequentially completes detection preparation, multidimensional coordination detection, intelligent decision and result output, system self-learning and optimization stage, and data acquisition is completed by the cooperation of material and appearance audit, multi-technology coordinated leakage detection, combined with evidence theory, multidimensional data fusion determination is completed, and fault diagnosis, health assessment and maintenance suggestion generation are realized through deep learning model.The application is suitable for spring type, pilot type safety valve online condition monitoring and fault diagnosis in petrochemical industry, electric power industry and the like, can realize seamless coordination and multidimensional data fusion analysis in detection link, effectively reduce detection misjudgment rate, shorten detection cycle, improve the reliability and efficiency of safety valve detection.