5results about How to "Small lag" patented technology

The invention relates to the technical field of novel hydrogen storage alloys, and discloses a high-performance A1 + mB2-m type titanium-manganese-based hydrogen storage alloy and a preparation method thereof, the chemical general formula of the hydrogen storage alloy is Ti < 1 + a-x > Zr Mn < c > Cr < 2-a-b-c > Fe < x >, a < lt >; 0.2 part; 0 lt; blt; 0.1 part; 1.0 lt; clt; ct; 1.7, 1.7; 0 < = xlt; and 0.2 part. The preparation method comprises the following steps: carrying out vacuum high-temperature short-time heat treatment on as-cast alloy, and naturally cooling along with a furnace. The invention designs a vacuum high-temperature short-time heat treatment process, so that the A1 + mB2-m type titanium-manganese-based alloy is converted into a single Laves phase from an as-cast multiphase structure, and the platform characteristics are remarkably improved. Compared with an as-cast alloy, the platform slope of the annealed alloy can be reduced to 0.33, and the hysteresis coefficient is only 0.06. In addition, by partially replacing A-side Ti with a B-side element Fe and combining a specific vacuum high-temperature short-time heat treatment process, the alloy keeps a single Laves phase structure, and the reversible hydrogen storage capacity and the hydrogen desorption rate are remarkably improved. The problems that an existing titanium-manganese-based hydrogen storage alloy is poor in platform characteristic, low in reversible capacity, complex in process and the like are solved, and the titanium-manganese-based hydrogen storage alloy has the large-scale application potential.

The invention discloses an intelligent milk tea machine equipment data monitoring method based on a cloud platform, and relates to the technical field of industrial Internet of Things, and the method comprises the steps: collecting operation data of a milk tea machine, carrying out the preprocessing, and generating a preliminary preprocessing data set; operation parameter optimization analysis is carried out on the fault prediction information and the health state indexes, a dynamic control strategy is generated, an upgrading plan is made, and a hot-pressing film upgrading scheme is generated; issuing the dynamic control strategy and the hot-pressing film upgrading scheme to an end-side milk tea machine, adjusting operation parameters in real time according to the dynamic control strategy, executing the hot-pressing film upgrading scheme, and generating end-side execution data; and according to the end side execution data and the edge feature vector, carrying out iterative updating on the milk tea machine operation model to generate an optimized milk tea machine operation model, and carrying out cooperative closed-loop control to generate real-time operation monitoring data. According to the invention, high-credibility data is provided for real-time control and predictive maintenance, the potential fault risk is reduced, and the operation safety of the milk tea machine is optimized.

The invention provides a pressure heating refrigeration working medium based on solid-liquid phase change. The pressure heating refrigeration working medium comprises water and gadolinium chloride which serves as a nucleating agent and is dissolved in the water. According to the application of the water-based system serving as the pressure heating refrigeration working medium, refrigeration is conducted through latent heat of the water-based system in the solid-liquid phase change process, and the water-based system comprises water and a nucleating agent dissolved or dispersed in the water. The water-based system provided by the invention is a typical primary phase change material, phase change causes huge phase change latent heat and entropy change, and the entropy change in the phase change process can reach 1170 J. Kg <-1 >. K <-1 >. Meanwhile, the hysteresis of the material is small, the minimum thermal hysteresis can be as low as 8 K, the phase change of the material is sensitive to hydrostatic pressure, and the isothermal entropy change under the small pressure of 0.1 GPa exceeds 1030 J.kg <-1 >. K <-1 > and is far higher than that of all reported materials at present. And the water can realize a large pressure heating effect under small pressure, so that the device has a huge potential application value in pressure heating refrigeration and heat management technologies.

This invention discloses a method for identifying and adaptively controlling the pumping status of high-strength concrete in ultra-high-rise buildings. Addressing industry pain points such as high friction, easily abrupt changes in flow regime, and susceptibility to pipe blockage and segregation in ultra-high-rise C60 and above high-strength concrete pumping, this invention achieves advanced status identification through multi-source time-series data acquisition, specialized feature extraction, and fusion of time-varying friction mechanism and LSTM hybrid model. It employs an MPC and feedforward compensation architecture to achieve multi-level collaborative adaptive control of the main pump, relay pressurization, and admixtures, supporting sensor fault state reconstruction. This method achieves advanced warnings of over 30 seconds, reduces pipe blockage rate by over 90%, controls pressure and flow fluctuations within ±4%, and enables fully unmanned adaptive control. It solves long-standing technical problems in pumping high-strength concrete in ultra-high-rise buildings, significantly improving construction safety, continuity, and intelligence. It is applicable to high-strength concrete pumping construction in ultra-high-rise buildings over 200m in height.

This invention relates to the field of foundation pit monitoring. The purpose of this invention is to provide a method and system for monitoring deep horizontal displacement in foundation pits based on digital twins. By embedding an automated inclinometer array around the perimeter of each side of the foundation pit and using an IoT transmission module to upload multi-point horizontal displacement data to a cloud server, the invention automates data acquisition, transmission, and processing, reducing the lag caused by manual measurement. Simultaneously, an initial model of the foundation pit is established on the cloud server. The spatial coordinates and displacement data of the monitoring points are mapped to the corresponding elevation using a geometric projection algorithm. Combined with a spatial interpolation algorithm, high-precision three-dimensional point cloud data covering the foundation pit elevation is generated, and a three-dimensional digital twin model corresponding to the foundation pit is constructed to update the three-dimensional digital twin model upon receiving new displacement data. Furthermore, the visualization of the three-dimensional digital twin model of the foundation pit effectively improves the identification efficiency of areas with abnormal displacement, facilitating rapid assessment of risk levels.