6results about How to "Good engineering value" patented technology

The invention provides a remote sensing satellite system level class I single point fault mode identification method based on information fusion, and the method comprises the steps: determining a remote sensing satellite main task according to user requirements, building a task profile, and determining a remote sensing satellite system level class I unexpected event in combination with a use environment and constraint conditions; the method comprises the following steps: establishing a fault tree by taking each system-level class-I unexpected event as a top event in sequence, carrying out fault tree analysis FTA from top to bottom, carrying out failure mode and influence analysis FMEA from bottom to top, carrying out redundancy three-element analysis aiming at all subsystems and important single machines as well as primary and secondary functions of a remote sensing satellite, carrying out effectiveness analysis on each redundancy design, and carrying out fault analysis on each redundancy design. And finally determining I-type single-point fault modes of the remote sensing satellite system, and forming an I-type single-point fault mode list. According to the method, the accuracy and comprehensiveness of remote sensing satellite system-level single-point identification can be practically improved, the risk of satellite models can be effectively reduced, the reliability is improved, the realizability is high, and the method has remarkable engineering value.

This invention discloses a method, device, and system for optimizing maintenance decisions in energy storage systems based on reinforcement learning-based multi-component lifetime collaborative modeling. The method constructs a collaborative lifetime decay model for key power devices (including IGBTs and DC bus capacitors) in the energy storage converter, collects operational data in real time, and establishes a multi-state fusion method for characterizing operational health. Furthermore, it utilizes reinforcement learning algorithms to optimize maintenance strategies. By jointly modeling the lifetime recovery effect, cost, failure risk, and system stability of different maintenance behaviors, a multi-objective reward function is constructed to achieve adaptive optimization of maintenance decisions. This invention can automatically determine the timing of overhaul or preventative maintenance based on the equipment's operating status and aging condition, eliminating the need for fixed-cycle manual maintenance, effectively reducing failure rates and maintenance costs. This invention is applicable to intelligent operation and maintenance and state management scenarios for energy storage converters.

The present application relates to the technical field of self-driven measurement-while-drilling tool, and particularly relates to a self-driven along-drill-string measurement system based on a friction nanogenerator. The technical scheme comprises a friction nanogenerator, an energy management unit, a low-power wireless communication relay node and a ground control terminal. The friction nanogenerator is used to collect the vibration energy of the drill pipe and convert it into electric energy. The friction nanogenerator adopts a sliding independent layer structure and comprises a rotor and a stator. The present application realizes distributed self-driving by deploying the friction nanogenerator at each communication node and utilizing the downhole vibration energy. The energy converted by the friction nanogenerator at the drill bit is enough to emit stronger communication signals, ensuring sufficient energy supply, rapid response of communication content and efficiency, developing information transmission technology with continuous power supply and low-power operation in the process of measurement-while-drilling, and realizing bidirectional communication of information, which has remarkable engineering value for difficult-to-exploit oil and gas resources.

The invention discloses an anti-interference miniature interface circuit for an infrared focal plane detector, which relates to an infrared focal plane detector and comprises a detector interface, a signal input conditioning circuit, a signal differential output conversion circuit and a miniature interface which are connected in sequence, outputting a detector signal to a micro interface through the signal differential output conversion circuit, wherein the detector interface is used for accessing a detector; the bias voltage circuit comprises a fixed bias voltage part and an adjustable bias voltage part, the fixed bias voltage is connected to a working power supply, and the adjustable bias voltage is completed based on a voltage reference circuit chip and an operational amplifier and used for providing low-noise bias voltage for the detector interface; and the time sequence level conversion circuit is connected between the micro interface circuit and the detector and is used for outputting a time sequence signal provided by an external system to an interface circuit of the detector through a level conversion chip. Various interferences such as electromagnetism can be effectively suppressed, back-end signal processing and transmission are facilitated, and universality is achieved.

The present invention belongs to the field of advanced drilling, and provides a method and system for evaluating rock integrity based on the fluctuation characteristics of drilling parameters, including obtaining relevant parameters for rock integrity evaluation - original drilling parameters, rock P-wave velocity and rock P-wave velocity, and calculating the rock integrity coefficient based on the rock P-wave velocity and rock P-wave velocity; preprocessing the original drilling parameters, extracting fluctuation characteristics based on the preprocessed drilling parameters, namely, time domain characteristics and frequency domain characteristics; performing feature selection on the time domain characteristics and frequency domain characteristics, and finally determining the optimal input characteristics for training a rock integrity evaluation model; using the optimal input characteristics as the model input and the corresponding rock integrity coefficient as the model output, the rock integrity evaluation model is trained. The present invention integrates the time domain characteristics and frequency domain characteristics of the drilling parameters to evaluate rock integrity, which can make the rock integrity evaluation more refined and accurate.

This invention belongs to the field of transformer manufacturing technology and relates to a transformer seismic support, comprising a top mounting plate, an elastic damping mechanism, a central connecting seat, and a fixed base connected sequentially from top to bottom. The elastic damping mechanism includes four sets of helical springs and laminated rubber columns, which are fitted inside the helical springs. The top of the laminated rubber columns is fixedly connected to the four corners below the top mounting plate, and the bottom of the laminated rubber columns is fixedly connected to the four corners above the central connecting seat. Mounting through holes are provided at the four corners of the top mounting plate, and threaded holes are provided at the center of the top of the laminated rubber columns. Connecting bolts pass through the mounting through holes and are screwed into the threaded holes. This invention has a simple structure, is easy to install, has low cost, and high durability, conforming to the GB / T 42558 series standards. Through the synergistic effect of elasticity, damping, and seismic isolation, it achieves efficient energy absorption, ensuring the stability and functional integrity of the power transformer during earthquakes.