11results about How to "Improve advanced" patented technology

Disclosed is a liquid crystal composition. The liquid crystal composition includes liquid crystal molecules including at least one of a liquid crystal compound having an alkenyl group and a liquid crystal compound having an alkoxy group, and a first stabilizer including a compound having a structure represented by Formula 1:where n is 0 or 1; m is 0 or 1; k is 0 or 1; Z1, Z2, and Z3 are each independently a single bond, —C═C—, —OCO—, —COO—, —CF2O—, or a C1 to C5 alkylene group; X1, X2, X3, and X4 are each independently hydrogen or halogen; Y is hydrogen, an alkylene group, an alkoxy group, a hydroxyl group, —NHCOCH3, or ═O; and A and B are cyclic compounds.

The invention belongs to the field of power system monitoring and fault diagnosis, and particularly relates to a cable branch box health early warning method based on fusion of insulation resistance and leakage current. The method comprises the following steps: acquiring insulation resistance and leakage current signals which are synchronously aligned by using a sensing monitoring unit, and extracting deterministic characteristics through nonlinear preprocessing; performing phase-space reconstruction on the leakage current signal, and calculating the maximum Lyapunov exponent, correlation dimension and other dynamic characteristic indexes so as to quantify the chaotic evolution degree responded by the insulating medium; and constructing an evaluation model based on fusion of insulation resistance and dynamic indexes, calculating a comprehensive health index, comparing the comprehensive health index with a threshold value, and determining an early warning level. According to the method, the qualitative change omen at the initial stage of insulation degradation can be sensitively captured by fusing the macroscopic electrical parameters and the microdynamics evolution characteristics, the advancement and the anti-interference capability of early warning are improved, reliable support is provided for refined operation and maintenance of the cable branch box, and the power supply reliability of a power system is guaranteed.

The invention discloses an electromagnetic wave-transparent connecting module for splicing metal plates and a construction method. The module is made of an insulating material, is provided with a mechanical interface for connecting adjacent metal plates, and is internally provided with an electromagnetic regulation and control structure, so that electromagnetic waves of a preset frequency band can be allowed to pass while the electrical continuity between the plates is blocked. Structural connection, physical sealing and electromagnetic wave regulation and control functions are integrated, the electromagnetic shielding problem of a metal building enclosure system is fundamentally solved, structure-function integration is achieved, construction is easy and convenient, and a large-area seamless electromagnetic wave-transparent building facade or roof can be constructed.

This invention discloses a waste heat recovery device, system, and method for an indoor test stand for aero-engines. The waste heat recovery device includes: multiple annular cold water pipes spaced axially along the outer wall of an ejector tube; and multiple I-shaped heat pipes arranged circumferentially within the annular cold water pipes. Each I-shaped heat pipe includes an evaporation end (arranged as an arc segment), a condensation end, and an adiabatic section. The evaporation end located on the inner side is in contact with the outer wall of the ejector tube, and the condensation end located on the outer side is in contact with the inner wall of the corresponding annular cold water pipe. The I-shaped heat pipes facilitate heat exchange between the ejector tube and the annular cold water pipes to recover the heat energy from the exhaust gas in the ejector tube. The technical solution provided by this invention solves the waste heat recovery problem of indoor test stands for aero-engines, improves the energy utilization rate of indoor test stands for aero-engines, and has high practicality and advancement, and can be widely applied to indoor test stands for aero-engines.

The utility model discloses a modularized airplane external equipment storage and transportation device, which belongs to the field of airplane equipment storage, is used for storing and transporting external equipment, related accessories and the like, adopts a modularized design, can adjust the inside of a square cabin, is an all-hollow square cabin when all internal structural parts are dismantled, and can be used for storing and transporting the external equipment by adjusting internal functional modules. The container can meet the storage and transfer functions of external equipment of a certain type of aircrafts, can contain two-stage external equipment and accessories of two aircrafts when independently containing the external equipment, can be used in cooperation with a loading and unloading platform of a large transporter to be rapidly hoisted to a certain large transporter, and can take land transportation and sea transportation into consideration. The dehumidification interface of the air-conditioned vehicle is reserved, is in a closed state at ordinary times, is opened and connected with the air-conditioned vehicle to dehumidify during use, and is pulled out of a cabin to directly move onto a trailer when being matched with a trailer system for use, so that the operation is convenient and fast.

The invention discloses a low-oxygen multi-source tracing method and an early warning system for a mine return air corner. The method comprises the following steps: measuring parameters of a coal seam and physical and mechanical parameters of a coal and rock layer; measuring the isotope value of each coal bed gas body, and establishing an end member gas characteristic database; building a physical similar simulation experiment model, and simulating a mine environment to carry out a coal mining experiment; calculating the flow conductivity and the weight coefficient of the overlying strata fracture; screening out two groups of isotope indexes with the maximum distinction degree from a database, and inputting the isotope indexes, the flow conductivity and the weight coefficient into a multi-end-member mixing equation to obtain a mixed isotope value; based on the concentration, the flow velocity and the flow path of gas, a source and a flow path are analyzed, a numerical model is constructed and compared with field data, and the gas concentration and the flow velocity of the source are predicted and early warned. According to the method, the gas traceability precision and reliability are remarkably improved, prediction and early warning of a gas source and a migration path are realized, and the advancement and comprehensiveness of low-oxygen risk identification are remarkably improved.

The present application relates to the technical field of direct current power management and fault monitoring, and discloses a multi-dimensional abnormal early warning monitoring method and system in direct current power management, comprising: configuring a passive induction sheet in the center area of the top surface of the explosion-proof valve of the electrolytic capacitor in the direct current power supply; determining a signal acquisition pair between the passive induction sheet and the cathode of the electrolytic capacitor, and connecting a negative bias ADC channel and a polarity ADC channel in parallel on the signal acquisition pair; monitoring the negative direct current bias signal and the polarity inversion signal of the signal acquisition pair through the negative bias ADC channel and the polarity ADC channel respectively; analyzing the monotone increasing trend of the negative direct current bias signal and the relaxation time of the polarity inversion signal respectively; and realizing early failure warning of the electrolytic capacitor in the direct current power supply based on the monotone increasing trend and the relaxation time. The present application can realize long-term, online and non-interference early warning of the early failure phenomenon of the electrolytic capacitor in the direct current power supply under real working conditions.

This invention discloses a dual-loop management method and system for rockburst disaster risk, relating to the field of coal mine safety engineering technology. The management method includes the following steps: conducting a rockburst hazard assessment, delineating rockburst hazard areas and hazard levels; real-time collection of multi-source monitoring data underground; identifying risk types, calling preset mitigation schemes for regional and / or risk management, and completing the inner-loop known risk management once the risk is eliminated; for risks of uncertain hazard types or risks that cannot be eliminated by the above-mentioned preset mitigation schemes, supplementing with large-scale mining environment disaster-inducing structure analysis; deploying active or passive detection and monitoring systems to achieve dynamic identification and assessment of rockburst hazards; implementing precise rockburst prevention and control measures and verifying the prevention and control effects; and inputting the verified and effective mitigation schemes and their corresponding risk characteristics into the aforementioned risk characteristic and measure database, integrating the accident causal chain and trajectory intersection theory to complete the dual closed-loop management.

The invention discloses a small target detection method for marine peril rescue based on YOLOv8, which can solve the problem of difficult marine peril rescue under a complex background, and comprises the following steps: selecting a SeaDrones See data set to obtain a training set and a verification set which are divided; a YOLOv8-GN model is constructed, the YOLOv8-GN model comprises a backbone network, a neck network and a head network which are connected in sequence, a small target detection head is used, a GAM attention mechanism is introduced in the network, and an NWD-Loss loss function is used for replacing an IoU-Loss loss function; training the constructed YOLOv8-GN model by using the training set, verifying the trained model by using the verification set, and adjusting model parameters; repeating until the training requirements or training rounds are met; and the trained YOLOv8-GN model is operated on a verification set of the SeaDrones See data set, and a final evaluation detection result is obtained. The method provided by the invention can effectively improve the detection precision of the small target for marine peril rescue in a complex environment, and meets the detection requirements of the small target for marine peril rescue.

The invention discloses a marine route planning method considering uncertain factors, and belongs to the field of marine traffic safety management, and the method comprises the steps: S1, carrying out the preprocessing and feature fusion of multi-source data; s2, carrying out the uncertainty modeling of the marine route, and quantifying the probability distribution of uncertainty parameters; s3, predicting a candidate route trajectory based on PCA hierarchical attention; s4, in combination with the probability distribution of the uncertainty parameters and the predicted candidate route trajectory, calculating the operability super probability of each segment of the route, and generating a probability operability index; and S5, by adopting an approximate MinSumA algorithm, outputting an optimal route by taking the integration of the minimum total navigation time and the maximum probability operability index as targets. By the adoption of the sea route planning method considering the uncertainty factors, a data-modeling-prediction-evaluation-optimization closed loop is constructed, the problems that a traditional method ignores uncertainty, is high in optimization complexity and poor in real-time performance are solved, and safety-efficiency-real-time performance collaborative optimization is achieved.

This invention discloses a method for predicting geological risks in TBM construction based on multimodal historical data fusion, belonging to the field of tunnel and underground engineering technology. This method includes: aligning and unifying the format of the first multimodal geological data; constructing an initial TBM construction geological risk prediction model, including a text semantic feature extraction module, a graphic structure feature extraction module, a multimodal feature fusion module, and a risk classification prediction module; training the parameters of the initial TBM construction geological risk prediction model using a sample set to obtain a final TBM construction geological risk prediction model; inputting the acquired second multimodal geological data into the final TBM construction geological risk prediction model to output the geological risk type and probability of the section to be predicted. This invention achieves advanced prediction of geological risks ahead by deeply exploring the potential value of historical geological exploration reports and design drawings.