45results about How to "The result is highly accurate" patented technology

The invention relates to a method for determining the critical micelle concentration (Critical Micelle Concentration, CMC) of a surfactant based on terahertz time-domain spectroscopy, comprising the following steps: S1: preparing a sample cell suitable for terahertz spectral detection; S2: preparing a trans Four orders of magnitude: surfactant solution samples with different concentrations from 0.1 to 100mM; S3: measure and obtain the terahertz time-domain spectrum of the sample solution to be tested; use the formula to calculate the relationship between the concentration of the sample and the terahertz absorption coefficient or refractive index Spectrum, determine the surfactant sample concentration corresponding to the turning point in the image; S4: Select and prepare a series of surfactant aqueous solution samples with smaller intervals around the determined sample turning concentration; S5: Measure again and obtain Measure the terahertz time-domain spectrum of the sample solution; S6: recalculate to obtain the relationship spectrum between the concentration of the sample solution to be tested and the terahertz absorption coefficient or refractive index, and determine the CMC of the surfactant through the image information. The method has the advantages of fast, label-free, simple operation, wide application range, good repeatability, and high accuracy of results.

The invention relates to the field of intelligent hardware, is used for solving the problems of low detection efficiency and serious human resource waste of an existing pulling sheet detection device, and particularly relates to an intelligent automatic detection equipment for an pulling sheet at the air outlet of an automobile air conditioner. The intelligent automatic detection equipment comprises a main box body, a detection box body is fixedly mounted at the top of the main box body, and a conveying groove is formed in the top surface of the main box body; and first conveying rollers which are uniformly distributed are arranged between the inner walls above the conveying groove, second conveying rollers which are uniformly distributed are arranged between the inner walls below the conveying groove, discharging mechanisms are arranged on the two sides of the top face of the main box body, a partition plate is fixedly installed on the inner top wall of the detection box body, and openings are formed in the two inner side walls of the detection box body. By designing the detection logic from a detection area A to a detection area D and from a detection area B to a detection area C, the pulling sheet can be turned over after passing through one-time surface detection and weight detection, and it is guaranteed that multiple surfaces of the pulling sheet can be subjected to surface quality detection.

The invention discloses a method for constructing a two-dimensional temperature distribution observer of a cross-flow stack and its application, including: dividing the stack into multi-node equal-area elements and establishing a two-dimensional dynamic mechanism model; discretizing the two-dimensional dynamic mechanism model The two-dimensional dynamic discretization mechanism model is obtained; the discretization mechanism model and the UKF estimation algorithm are based on the input of the stack, and the actual values ​​and evaluation values ​​of the temperatures at all nodes are obtained; the UKF estimation algorithm is based on the actual values ​​and evaluation values ​​corresponding to each outlet node, The evaluation values ​​corresponding to all nodes are corrected to obtain predicted values, and the cycle is repeated until the deviations between the predicted values ​​corresponding to all nodes and the actual values ​​are within the preset range, and the construction of the two-dimensional temperature distribution observer is completed. The invention divides the cross-flow stack into multiple nodes and constructs a two-dimensional dynamic mechanism model, uses the UKF estimation algorithm to accurately and quickly estimate the internal temperature distribution of the cross-flow stack, has good anti-input disturbance performance, and is the temperature of the cross-flow SOFC stack Distributed observations provide a viable solution.

The invention provides a pipeline corrosion detector and a detection method thereof. Among them, the pipeline corrosion detector includes: pipeline crawler, multiple terahertz detection and receiving devices, terahertz detection system, data processing system and corrosion degree display panel; among them, the pipeline crawler will carry multiple terahertz detection and receiving devices. The multiple probes of the device are delivered to the inside of the pipeline to be inspected, and the terahertz detection and receiving device receives the laser light emitted by the terahertz detection system, excites the terahertz wave, and transmits the terahertz signal reflected from the inner surface of the pipeline to be inspected to the terahertz detection system , the terahertz detection system generates terahertz spectral information according to the terahertz signal reflected by the inner surface of the pipeline to be inspected and transmits it to the data processing system. The data processing system processes the terahertz spectral information to generate the corresponding relationship between the terahertz spectral information and the degree of corrosion. And displayed on the corrosion degree display panel.