23results about How to "Improve advanced" patented technology

The invention relates to the technical field of building safety evaluation, in particular to a building safety performance evaluation method and system, and the method comprises the following steps: collecting the displacement and acceleration data of a building, measuring and checking the quality of the data in real time through an optical fiber sensor, and analyzing and recording the change of the data in combination with a time sequence to obtain real-time monitoring data. According to the method, the real-time performance and accuracy of building safety performance evaluation are remarkably improved by monitoring the displacement and acceleration data of the building in real time and analyzing and recording data changes in combination with a time sequence, potential safety hazards can be found in the early stage by recognizing abnormal modes and potential weaknesses of the building structure, and the safety performance of the building is improved. Through quantitative evaluation of the risk area, the capability of resisting natural and human threats of the building is enhanced, important reference data is provided for future design and construction, and scientificity and advancement of building safety evaluation are improved.

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 provides a diagnosis monitoring device of an FTU, and belongs to the technical field of power distribution networks. According to the technical scheme, related functions achieved by an FTU device loop and a diagnosis monitoring mechanism are determined, alarm modes of a power module, a processor and a communication module are defined based on FPGA digital quantity generation and data selection, then alarm equipment of corresponding modules is developed, problems of the FTU device can be responded in time, and diagnosis basis and phenomena can be provided. Meanwhile, the design of a storage battery management main control unit is completed, the application of a storage battery internal resistance detection technology, an automatic discharge module management technology and a battery abnormality diagnosis technology is realized, and local monitoring and management and control of the storage battery are realized in a matched manner. On the basis, the composition principle and the structure of the final device are determined, and the application of FTU online diagnosis and storage battery management devices is realized. The method can be widely applied to distribution automation FTU monitoring, and the level of automation terminal management application is improved while a small amount of funds are invested.

The invention discloses an advanced intelligent prediction method, system and equipment for dust concentration in a limited space and a medium, and relates to the technical field of dust prevention and control. The method comprises the following steps: acquiring environmental parameters and current dust concentration in the confined space; preprocessing the environmental parameters to obtain preprocessed data; inputting the preprocessed data and the current dust concentration into a trained deep recurrent neural network prediction module for prediction to obtain a dust concentration prediction value with a time sequence; the deep recurrent neural network prediction module adopts a deep recurrent neural network model based on an attention mechanism; and displaying the dust concentration predicted value in a graphical interface, and triggering an alarm when the dust concentration predicted value reaches a preset threshold value. According to the invention, the accuracy and advancement of dust concentration prediction in the limited space can be improved.

The invention relates to the technical field of thermal power construction, and provides a dangerous point pre-control management method in thermal power construction, which comprises the following steps of: acquiring historical dangerous point data, performing classification and feature extraction, analyzing potential influence by utilizing a virtual evolution technology, and training a dangerous point prediction model; according to the method, dangerous point prediction is carried out through the dangerous point prediction model, dangerous events are effectively prevented through graphical display and real-time pre-control instruction execution, meanwhile, through a continuous optimization and feedback mechanism, the dangerous point prediction precision and the pre-control effect are improved, the safety of a thermal power construction project is improved, and the safety of the thermal power construction project is improved. According to the invention, the problem of insufficient prevention of non-occurrence of dangerous points in the prior art is solved, and the accuracy and advancement of dangerous point pre-control are improved.

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 belongs to the technical field of aero-engines, and particularly relates to a processing technique of a cantilever thin-wall weak-rigidity part, which comprises the following steps of: 1, calculating the single-side wall thickness difference between a forge piece I and a pipe, and controlling the flatness of the upper surface and the lower surface of the forge piece I of the welded forge piece I; 2, the upper surface of the first forge piece and the lower surface of the first forge piece are roughly machined with the lower surface of the first forge piece and the upper surface of the first forge piece as positioning datum planes, and the initial sizes of the upper surface of the first forge piece and the lower surface of the first forge piece are determined; thirdly, the surfaces of the two sides of the forge piece are machined till the designed size is met; and 4, finish machining is conducted on the upper surface of the first forge piece and the lower surface of the first forge piece. According to the method, the machining route of the cantilever thin-wall weak-rigidity part is broken through, and a reference method is provided for machining of the cantilever thin-wall weak-rigidity part; and the problem that the surface tilts when the thin-wall position of the cantilever is machined to be close to the final size is solved by adopting a feeding path of circularly reciprocating the forge piece I.

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 relates to an IMU-based unmanned vehicle body attitude detection method and system and a medium, and the method comprises the steps: Q1, in the operation process of a port unmanned container truck, obtaining multiple groups of motion attitude data information of a vehicle body in real time based on multiple groups of vehicle-mounted IMU inertial sensors, an improved weighted recursive average filtering algorithm is adopted to preprocess the multiple sets of motion attitude data of the vehicle body, and processed multiple sets of motion attitude data information of the vehicle body is obtained; and Q2, based on the processed multiple groups of motion attitude data information of the vehicle body, performing curve fitting on each group of motion attitude data of the vehicle body by adopting a Fourier series fitting algorithm based on gradient descent. The six-degree-of-freedom posture change of each part of the vehicle body can be effectively detected, the input hardware cost is low, the transformation difficulty is small, the data acquisition precision is high, reference information is provided for operation supervision personnel to adjust the running speed of the vehicle end, the purpose of stable running is achieved, and the method has high practicability and advancement.

The invention provides a four-axis machining method for a deep and narrow V-shaped groove structural part. The four-axis machining method comprises the following steps that 1, the blade back side face and the blade basin side face of the deep and narrow V-shaped groove structural part are subjected to re-parameterization to obtain heavy-parameter curved surfaces; step 2, equidistant offset is carried out on the heavy parametric curved surface to obtain an offset curved surface; 3, discretizing the offset curved surface to obtain a discrete curve group; step 4, establishing a plurality of cutter swinging planes; step 5, generating a cutter shaft non-interference feasible region on any one cutter swinging plane; step 6, repeating the step 5 to obtain a cutter shaft non-interference feasible region on each cutter swinging plane; a cutter shaft motion control line is obtained; step 7, generating a cutter shaft extension ruled surface group according to the cutter shaft motion control line; and 8, generating a tool path file according to the extension ruled surface group of the tool shaft. The problem that in the finish machining process of an existing deep and narrow V-shaped groove structural part, a tool path without interference to the machining technology is difficult to generate is solved.

The invention relates to a self-pressurization device for a solid oxide galvanic pile, which comprises a base, a galvanic pile, a pressing plate, a ball, a pressing block and a positioning column, one end of the positioning column is connected with the base, the other end of the positioning column is connected with the pressing block, the galvanic pile and the pressing plate are arranged between the base and the pressing block, and the pressing plate is arranged between the base and the pressing block. The pressing plate is arranged above the electric pile, and the ball is arranged between the pressing block and the pressing plate. The core of the device is that a specially designed base and a specially designed pressing plate are matched with a pressing block, a sleeve and other components to provide constant fastening pressure for a galvanic pile in a full life cycle. The device is compact in structure and convenient to mount and dismount, can be directly used in complex environments such as storage, transportation and high-temperature operation without any operation after being mounted, and has high practical value.

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.

The invention relates to the technical field of collapse vibration reduction design, in particular to a prediction and vibration reduction design method for nuclear item vibration caused by collapse of a cooling tower. According to the method, the vibration area is clearly set, the key cooling tower and site parameters are obtained, the corresponding vibration acceleration is calculated through the horizontal vibration acceleration response spectrum function and the vertical vibration acceleration response spectrum function of the nuclear item, and a scientific basis is provided for evaluating the influence of cooling tower collapse on surrounding nuclear items. Whether the shear thickening fluid needs to be arranged to serve as the buffer cushion layer or not is flexibly determined according to the actual situation, the pertinence and economical efficiency of the design are improved, the accuracy and effectiveness of arrangement of the buffer cushion layer are ensured through fine simulation of the finite element model, and the thickness of the buffer cushion layer is accurately calculated.

The invention relates to the technical field of engine compression resistance moment measurement, discloses a method for measuring the compression resistance moment of a piston type engine at low temperature and low air pressure, comprehensively considers the great influence of environmental factors on the performance of the engine, and provides an effective and accurate measurement way. By means of the measuring method, accurate measurement of the compression resistance moment of the piston type engine under the low temperature and the low air pressure can be achieved, and then application and development of the engine under the extreme working condition are promoted; therefore, the scientificity and advancement of engine design can be improved, and meanwhile, a solid foundation is laid for using the engine in special environments such as high altitude, plateau and cold regions in the future.

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.

This invention relates to the field of electrical communication transmission technology, specifically disclosing an intelligent management and control method and system for power differential protection channels based on OLP. The method includes: collecting optical layer and environmental parameters of the primary optical fiber within a sliding time window, calculating a health degradation index, and triggering backup screening if the index continuously exceeds the warning baseline or shows a monotonically increasing trend; periodically injecting optical probe test frames into the backup optical fiber to construct a transmission quality score vector, comparing it with the admission benchmark vector to screen switchable backup optical fibers; further employing grey relational analysis to determine the target switching fiber and generate a switching signal; responding to the switching signal, synchronously freezing the differential calculation engine and expanding the cache before execution of the switch, adjusting the sampling synchronization alignment window according to the time delay difference between the primary and backup optical fibers after the switch, and restarting the differential calculation after synchronization is restored. This invention achieves proactive fault prediction, quantitative selection of backup channels, and coordinated smooth switching of protection devices.

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.

The embodiments of the present application provide a method, device, equipment and medium for rapid grid segmentation of a chip layout, the method comprising: obtaining a chip layout to be segmented; parsing the chip layout, obtaining multiple layout elements to be segmented, and calculating the minimum feature tree corresponding to the layout elements; the layout elements at least include pads, vias, copper plating shapes and connections; sorting multiple layout elements in a preset order to generate a layout element queue; sequentially querying in the layout element queue whether each layout element corresponds to a feature tree, and if not, performing rapid node segmentation on the feature tree of each layout element according to the minimum feature tree to obtain a multi-branch tree data structure corresponding to the layout element; the rapid node segmentation includes any one of virtual rule node segmentation, high-precision rule node segmentation and AI rapid automatic segmentation; and completing rapid grid segmentation of the chip layout according to the subtree information corresponding to the multi-branch tree data structure corresponding to each layout element.