8results about How to "Improve mean time between failures" patented technology

This invention discloses a smart building energy consumption optimization and comfort control system based on BIM-IoT integration, comprising: a BIM-IoT integrated digital twin module; a load prediction module based on a thermodynamic model; a multi-system collaborative optimization control module; and an equipment fault diagnosis module. By constructing a building digital twin model and integrating BIM static parameters and IoT dynamic data, this invention achieves accurate prediction of building heat load, multi-system collaborative optimization control, and intelligent balance between energy consumption and comfort, thereby significantly reducing building operating energy consumption and improving user experience.

The application relates to the technical field of motor control, and discloses a bearingless motor axial balance control method and system of multiple lamination units, aiming to solve the problems of missing axial adjustment dimension, poor robustness and lack of redundant support of a traditional bearingless motor. The method comprises the following steps: acquiring a rotor displacement signal in real time; a central controller calculates the magnetic force weight proportion of each stator lamination unit according to an axial displacement deviation; a distributed controller independently generates a driving current, uses a magnetic field edge effect to construct an axial gradient magnetic difference to generate a compensation force; and the switching frequency is adjusted and a harmonic component is superimposed to decouple the rotating torque. The system comprises a sensor unit, a central processing unit, a distributed execution unit and a multi-layer stator unit. According to the application, fine intervention of the axial posture is realized by actively constructing a magnetic potential difference, and the control precision, reliability and heat dissipation efficiency of the system under high-speed working conditions are significantly improved by cooperating with a redundant reconstruction strategy and heat load balancing.

The application relates to the technical field of power electronics, and discloses a multi-mode redundant power supply system based on a bidirectional inverter power board, which comprises a topological structure acquisition module, which is used for acquiring a reconfigurable circuit topological structure; an optimal structure generation module, which is used for generating an optimal topological structure according to the reconfigurable circuit topological structure and a multi-parameter real-time monitoring system; a parameter acquisition module, which is used for dynamically adjusting control parameters under different temperature conditions according to a temperature characteristic model library; a predicted state acquisition module, which is used for obtaining a predicted state of the multi-mode redundant power supply system in a future time period according to a preset digital twin model; and a predicted control module, which is used for controlling the multi-mode redundant power supply system according to the predicted state. Through the fusion of multi-stage topological structures, wide-bandgap device characteristic optimization and digital twin technology, the application realizes efficient operation in a wide load range, strong adaptability under extreme environmental conditions and high reliability in long-term operation.

This invention discloses a peak-valley electricity pricing intelligent equipment control system based on multimodal video analysis, including a video acquisition module, an electricity pricing strategy acquisition module, an AI multimodal analysis engine, a dynamic scheduling controller, and an economic analysis module. The advantages of this invention compared to existing technologies are: Instead of focusing solely on energy costs in traditional equipment control, this invention introduces equipment lifespan and carbon emissions as optimization objectives, constructing a multi-objective optimization model to achieve synergistic optimization of economic and environmental benefits, aligning with the global trend of low-carbon development. Through this innovation, in industrial applications, the total lifespan cost of equipment can be reduced by 15%-20%, and carbon emissions reduced by 10%-15%.

The invention discloses an aerosol output system, and relates to the technical field of simulation experiments, the aerosol output system comprises a centralized glue outlet, a plurality of atomization units and a plurality of conveying parts, the plurality of atomization units are all provided with air outlets, the air outlets of the plurality of atomization units are all communicated with the centralized glue outlet, and the conveying parts are communicated with the centralized glue outlet. The plurality of conveying parts are respectively communicated with at least one glue outlet passage so as to convey the aerosol from the atomization units to the concentrated glue outlet, so that the problem that the aerosol output is interrupted due to heating / cooling circulation of a traditional single atomizer is solved, and the aerosol output efficiency is improved. The system can be seamlessly switched among different atomization units, and the output continuity of a total aerosol outlet is kept.

The adjustable suction nozzle comprises a grain suction inner cylinder and an air suction outer cylinder which are coaxially arranged, and an annular air channel is formed between the grain suction inner cylinder and the air suction outer cylinder. The width of the channel can be accurately adjusted through the adjusting bolts, and airflow uniformity is maintained in cooperation with the self-adaptive deformation flexible adjusting plate. A conical flow guide opening and a detachable filter screen are arranged at the bottom of the grain suction inner cylinder, grain flowing is effectively guided, and blocking is prevented. The grain collecting device is simple and reliable in structure, capable of remarkably improving grain collecting efficiency and reducing energy consumption and widely applied to operation scenes such as grain storage and port loading and unloading.

The invention relates to the technical field of memory management, and discloses a DRAM state management method and system and terminal device.The method comprises the steps that physical interface signals connected with a DRAM are continuously collected based on a preset time window, and time sequence correlation parameters of the DRAM at the corresponding moment are obtained; inputting the preprocessed time sequence correlation parameters into a prediction model for prediction to obtain time sequence correlation parameters of a plurality of future moments, and further determining predicted safety thresholds of the plurality of future moments and a minimum hour sequence margin in the plurality of future moments; when the minimum time sequence margin is lower than the predicted safety threshold value of the corresponding moment, generating a coding early warning signal based on the time sequence correlation parameter of the future moment; and based on the risk level code, the risk type code and the load state code, matching a target state self-healing strategy in a preset strategy library, and executing the strategy. By adopting the method, the overall reliability and availability of the system can be improved on the premise of ensuring the safety margin.

The present application relates to the technical field of pulse power and electromagnetic manufacturing, and discloses a pulse magnetizing machine, which comprises a charging module, a capacitor matrix module, an acquisition module and a control module; the acquisition module synchronously acquires voltage and current discrete sequences at the discharge moment in a Kelvin four-wire structure; the control module is based on a heterogeneous architecture of a digital signal processor and a field programmable gate array, uses a regularized least square algorithm to identify equivalent resistance and inductance parameters of a load in real time, and adopts a closed-loop control logic based on single waveform reverse analysis as a system core; a Newton iteration method is used to solve nonlinear equations to reconstruct the capacitor matrix and accurately lock the pulse width; at the same time, the charging voltage is corrected by combining an iterative learning algorithm, the capacitor discrete quantization deviation is compensated, and the peak current is locked. The present application realizes adaptive compensation of the magnetizing waveform to load parameter drift, and significantly improves the current repetition accuracy and the operation life of the system.