2results about How to "Meeting Reliability Needs" patented technology

The present application relates to the technical field of aerated concrete preparation, and particularly relates to a method for preparing electrically conductive aerated concrete by using porous carbonized recycled aggregate and the aerated concrete. The process method first places pre-wetted recycled aggregate in a pressurized carbonization kettle, and industrial waste gas with CO2 concentration greater than or equal to 20% is introduced to react for 2-3 hours at 0.5-0.7 MPa and 60-70 DEG C to produce porous carbonized recycled aggregate. Then the porous carbonized recycled aggregate is dry-mixed with gel material, gypsum, conductive carbon black and reinforcing fibers, and then mixing water containing water reducing agent (water aggregate ratio 55-60%) is added to stir into base mortar. Then aluminum paste suspension is added to the mortar, and after stirring to start aeration, the mortar is poured into a mold. After 2-3 hours of static aeration, the mold is finally autoclaved and dried for 6-8 hours to obtain the electrically conductive aerated concrete. Through aggregate pretreatment strengthening, orderly dispersion of the conductive phase and hierarchical curing control, the present application can effectively solve the contradiction between light weight, high strength, electrical conductivity and durability, and provide a multifunctional green building material solution for airport construction.

The invention relates to the technical field of data processing of multi-source data fusion, and discloses an investigation data integration analysis method and system based on multi-source data fusion. According to the scheme, a multi-source sensor is deployed, original voltage is collected, and standardization is carried out in each physical quantity range; constructing temperature, pressure and vibration three-dimensional observation and states based on a unified time index, and setting initial values; recursive prediction is carried out by using a constant preserving model; counting a multi-measuring-point variance in a static window, determining observation noise in combination with the minimum quantization step size, and calculating fusion gain; linearly updating and correcting covariance, and then carrying out dimension-by-dimension amplitude limiting according to an abnormal upper limit; carrying out space averaging on the three-dimensional results of the multiple measuring points at each sampling moment, and carrying out rollback if necessary; and a fusion sequence and a statistical report are formed in the whole cycle. According to the method, the data scale is unified, subjective parameters and computing power burden are reduced, adaptive noise modeling along with the environment is achieved, stable noise suppression and fault resistance are achieved, and continuous output and comparable analysis are guaranteed.