18results about How to "Adapt to complexity" patented technology

The invention belongs to the technical field of nuclear power station site selection, and provides a nuclear power station site selection-oriented geographic knowledge graph construction method and system, and the method comprises the steps: obtaining related data of a nuclear power station site selection field, the related data comprising field knowledge data and geographic space data; a nuclear power station site selection geographic knowledge graph mode layer is constructed by adopting a top-down method, a nuclear power station site selection core ontology is determined, a hierarchical ontology system is defined, subordinate entities of the core ontology and attributes and data types of the subordinate entities are defined and constrained, a concept layer and the entities and an incidence relation between the concept layer and the entities are constructed, and the core ontology is established. A nuclear power station site selection geographic knowledge graph data layer is constructed by adopting a bottom-up method, entity and relation extraction is carried out respectively, and knowledge extraction is realized; and performing knowledge fusion on the nuclear power station site selection field entity, relationship and attribute information obtained by knowledge extraction to form a final geographic knowledge graph for nuclear power station site selection. According to the invention, the tightness of site selection and domain knowledge is improved.

The application discloses a kind of fuel cell uninterruptible power supply system fault diagnosis method and storage medium.Therein method includes: obtaining the historical fault data and real-time operation data of fuel cell;According to historical fault data based on the hybrid model constructed in advance, determine the correlation coefficient threshold;According to real-time operation data based on the hybrid model constructed in advance, calculate actual correlation coefficient;According to the size relation of actual correlation coefficient and correlation coefficient threshold, determine whether fuel cell uninterruptible power supply system fails.Compared with traditional fault diagnosis method, the technical scheme provided in the embodiment of the application can more scientifically and efficiently determine the operating state of fuel cell UPS system, solves the problem that traditional fault diagnosis method depends on experience judgment and has certain limitations, leads to the poor reliability of fuel cell UPS system operation, effectively improves the reliability and safety of fuel cell UPS system operation.

The invention relates to the technical field of power system intelligent maintenance, and discloses a high-voltage circuit breaker fault intelligent diagnosis method and system based on deep learning, and the method comprises the following steps: 1) data collection: collecting multi-dimensional operation parameters of a high-voltage circuit breaker through a sensor system; 2) data preprocessing: carrying out noise filtering, abnormal point elimination, data normalization and other operations on the collected data; 3) deep learning model training: inputting historical fault data and normal operation data into a deep learning network for training, and optimizing model weight through back propagation; and 4) real-time diagnosis: inputting the data acquired in real time into the trained deep learning model, and analyzing the data by the model to obtain a fault diagnosis result. According to the method, technologies such as noise filtering (such as wavelet analysis) and abnormal point elimination (such as an isolated forest algorithm) are adopted, so that the data quality can be effectively improved, interference in model training is reduced, and the diagnosis accuracy is enhanced.

The application provides a panel bottom box assembly, comprising: a first shell, the first shell comprising a plurality of first side walls, a containing portion being formed between the plurality of first side walls; a first connecting piece being arranged on each of the first side walls, the first connecting piece being located in the containing portion, and the length of the first connecting piece being along a first direction; a second shell, the second shell comprising a plurality of step structures and a plurality of second side walls, the second side walls extending from the step structures towards the first shell, a second connecting piece being arranged on each of the second side walls, and the length of the second connecting piece being along the first direction; wherein the number of the first side walls, the second side walls and the step structures is equal, the plurality of second side walls are located in the containing portion, and the first connecting pieces and the second connecting pieces correspond to each other and are in sliding connection. The panel bottom box assembly provided by the application can adapt to different cavity sizes between a wallboard and a wall body, and can realize flush embedding of a switch panel and the wallboard.

This invention discloses an online planning method for robotic spraying operations on mixed-line production lines based on multi-depth cameras. The invention acquires multi-angle point cloud data of the product using multiple depth cameras and stitches these point clouds together into a complete point cloud using a turntable method. Based on a point cloud slicing algorithm, the point cloud contour lines are extracted to generate the end trajectory of the spraying robot's spray gun. Based on a 3D paint distribution model, the spraying thickness at each point on the product surface is accurately calculated, and the rationality of the spraying trajectory is verified, thereby generating the spraying operation instructions for the spraying robot. This invention completes the entire process from product point cloud acquisition, spraying effect evaluation, and spraying robot operation program generation, with an extremely short overall planning time. This invention can conveniently acquire product surface point cloud data, is suitable for mixed-line industrial production, and quickly and automatically generates the spraying robot's spraying operation trajectory based on the product's shape and spraying requirements, significantly improving the efficiency of spraying trajectory planning and meeting the real-time requirements of online spraying trajectory planning.

The utility model relates to the field of buildings, and discloses a molding glass fiber reinforced plastic composite material section which comprises a first connecting piece, a second connecting piece fixedly connected to the bottom of the first connecting piece, a plurality of fixing assemblies arranged on the outer side of the first connecting piece, an inserting groove formed in the second connecting piece, a cross groove formed in the first connecting piece, and a plurality of fixing assemblies arranged on the outer side of the second connecting piece. A first inserting assembly is arranged on the outer side of the second connecting piece, and a second inserting assembly is arranged on the outer side of the first connecting piece. According to the utility model, through the mutual cooperation of the connecting rod, the baffle plate, the inserting block, the spring, the L-shaped plate and the like, the connection reliability of the cross beam and the connecting piece I is further enhanced on the basis of ensuring the stability of the basic connecting structure of the profile; the structural stability and the bearing capacity of the whole molded glass fiber reinforced plastic composite material profile in practical application are effectively improved, so that the molded glass fiber reinforced plastic composite material profile can better adapt to various complex working conditions and load requirements.

The invention discloses a medical image classification method based on curriculum-type enhancement scheduling and hybrid enhancement. The method comprises the following steps: S100, constructing a curriculum-type data enhancement mechanism; s200, performing a staged hybrid enhancement strategy; s300, carrying out multi-stage model training and optimization; and S400, carrying out model interpretability output generation. According to the method, the stability and generalization performance of the model in the multi-stage training process are improved, the interpretability of a model output result is enhanced, and reliable technical support is provided for a clinical auxiliary diagnosis system.

This invention belongs to the field of thermoelectric materials technology, specifically disclosing an ion thermoelectric gel device, its preparation method, and its application. The ion thermoelectric gel device includes at least one device; the device includes a first electrode, an ion thermoelectric gel unit, and a second electrode arranged in series; the first electrode and / or the second electrode includes a substrate layer and a conductive layer stacked together; the substrate layer is made of an elastic polymer material; the conductive layer is made of conductive particles and conductive nanowires; the conductive particles coat the surface of the conductive nanowires, and the materials of the conductive particles and the conductive nanowires are each independently selected from at least one of gold, silver, platinum, and copper. This device exhibits excellent ion thermoelectric potential and high normalized power density, effectively solving the long-standing core bottleneck of insufficient output power in this field.

The invention relates to the technical field of power dispatching, and discloses a power dispatching method and system based on artificial intelligence. The method comprises the following steps: collecting power grid operation state data which is uploaded by a terminal and comprises node operation parameters and regional pre-judgment working condition types, and receiving real-time power grid topology connection data of a geographic information platform; performing space-time correlation analysis on the node operation parameters and the regional pre-judgment working condition type to obtain node operation state correlation characteristics and working condition pre-judgment correlation characteristics; optimizing the node operation state association features according to the real-time power grid topology connection data to obtain optimized node state topology features; dynamically integrating the working condition pre-judgment association features and the optimized node state topological features, and generating a power grid operation working condition fusion feature representation; and generating a power grid operation mode identifier based on the fusion feature representation, matching a preset regulation strategy from a strategy library, and issuing the preset regulation strategy to a corresponding acquisition terminal. According to the method, effective integration and analysis of multi-source data are realized, and the accuracy and adaptability of power dispatching are improved.

The invention relates to a cross-border transportation control system and a control method thereof, and the system comprises a cross-border transportation management platform which is used for carrying out the transportation scheduling according to a transportation demand and a vehicle state, monitoring the transportation data and cargo information in a transportation process, and carrying out the data analysis and risk early warning; the customs inspection optimization system is used for analyzing the cargo information and pre-judging a customs inspection result; automatic customs inspection and unified management of data are carried out; the intelligent transportation decision-making system is used for planning a transportation path and allocating transportation resources according to cargo characteristics and transportation requirements; the cross-border logistics information integration and analysis system is used for collecting, processing and analyzing cross-border logistics data and deploying the data according to an analysis result; the cross-border transportation safety guarantee system is used for evaluating safety risks in the cargo transportation process and handling emergencies. Compared with the prior art, intelligent management and scheduling of the cross-border transportation process are realized, and the transportation flexibility and efficiency are improved.

The application discloses a kind of mobile control terminal, comprising: one or more touch modules, touch module is used to generate control instruction, control instruction can trigger air conditioning equipment to perform pre-configured operation;Bluetooth low power consumption module, bluetooth low power consumption module can work in broadcast mode, continuously send broadcast packet including control instruction;Wherein, broadcast packet is received and parsed by distributed control system in communication range;Distributed control system includes communication connected control device;Distributed control system is based on the signal intensity filtered and sorted based on parsed, selects target control device from it and sends target identification;Target control device sends the control instruction received from broadcast packet to the air conditioning equipment connected with communication;Also provide a kind of control device and a kind of air conditioning system.This application does not need to be matched, also does not need to be used in straight line unobstructed environment, and energy consumption is extremely low, battery dependency is low.

The utility model discloses an organic fertilizer fermentation tail gas cyclone purification tower relates to organic fertilizer fermentation technical field. The organic fertilizer fermentation tail gas cyclone purification tower, including purification tower one and detection component, one side of purification tower one is provided with purification tower no.

This utility model discloses a stretchable sensor structure and an intelligent device. The stretchable sensor structure includes a circuit board and a sensing structure. The sensing structure includes a thin film and a transverse plane sensing structure and / or a longitudinal plane sensing structure mounted on the thin film. The transverse plane sensing structure includes a first conductor, a second conductor spaced apart from the first conductor along the transverse plane, and a conductive strain-sensitive structure connecting the first conductor and the second conductor. The first conductor and the second conductor are mounted on the thin film and are both located on the first surface of the thin film. The longitudinal plane sensing structure includes the first conductor and a third conductor arranged longitudinally with the first conductor. The third conductor is mounted on the second surface of the thin film and forms a capacitor structure with the first conductor.

The utility model belongs to the field of superhard composite materials, and particularly relates to a polycrystalline diamond compact with a special-shaped structure. A non-circular convex frame is arranged at the top of the polycrystalline diamond layer, the non-circular convex frame is provided with at least two corners, and each corner extends towards the periphery of the polycrystalline diamond layer to form a convex strip; the outer edge of the polycrystalline diamond layer between the adjacent convex strips is concave downwards, so that an inclined concave surface is formed between the outer edge of the polycrystalline diamond layer and the non-circular convex frame; cutting surfaces are arranged at the connecting parts of the raised lines and the side cylindrical surface of the polycrystalline diamond layer; the cutting face comprises an upper cutting face and side cutting faces, the upper cutting face is located on the upper surface of the protruding strip, the side cutting faces are located on the two sides of the protruding strip, and the upper cutting face corresponds to the side cutting faces; through a 4D acting part of a multi-surface structure, excellent impact resistance and lithology breaking property are achieved, through optimization of geometrical shapes, cutting pressure is concentrated in a specific area, the cutting efficiency is improved, and the service life of the composite sheet is prolonged.

The invention provides a reservoir water level detection method and system based on periodic segmentation and a dynamic threshold value in the technical field of water conservancy monitoring. The method comprises the steps that S1, water level time sequence data are collected and preprocessed to obtain cleaning data; s2, calculating a dominant period based on the cleaning data; s3, phase segment features are extracted based on the dominant period; s4, mapping the cleaning data to a defined characteristic water level interval based on each phase segment characteristic; s5, respectively calculating a water level change difference sequence for each characteristic water level interval, and calculating an ascending / descending abnormal threshold value based on the water level change difference sequence; s6, inputting the cleaning data into a residual error detection model to obtain a predicted residual error of the water level, and screening an abnormal point from the predicted residual error based on a rising / falling abnormal threshold value; s7, calculating an abnormal confidence score based on each abnormal point; and S8, generating a reservoir water level detection report. The method has the advantages that the accuracy and adaptability of reservoir water level anomaly detection are greatly improved.

The invention discloses an English translation strategy optimization method and system, a storage medium and a terminal, particularly relates to the technical field of multi-modal information processing and machine translation, and is used for solving the problem that a multi-modal fusion translation decision is invalid due to the fact that the credibility of a visual information source cannot be dynamically evaluated in the prior art. By identifying a core entity and a potential ambiguity domain thereof in an English text, whether an associated visual image covers an associated semantic item is analyzed, and when associated visual content exists and the core entity is a polysemous word, information entropy change before and after the visual content is introduced is calculated to generate an information gain quantized value; the method comprises the following steps: generating an auxiliary credibility evaluation value according to a logic consistency relationship between visual anaphora and disambiguation function confidence, and finally, dynamically adjusting a semantic dependency weight of a translation model on a visual image according to the evaluation value when a target language translation is generated. Quantitative evaluation and self-adaptive fusion of visual information credibility are realized, and the accuracy of multi-modal translation is improved.

This utility model relates to the technical field of blasting devices for mining operations, and more particularly to a blasting device for mining operations. A blasting device for mining operations includes a base plate, a motor, a fixed base, a rotating disk, an electric drill, a fixed block, an electric push rod, a push frame, and a discharge box. The motor is fixedly connected to the top of the base plate, and the output shaft of the motor is fixedly connected to the fixed base. The rotating disk is rotatably connected to the center of the fixed base, and the electric drill is fixedly connected to the left side of the rotating disk. The fixed block is fixedly connected to the rear side of the fixed base, and the electric push rod is fixedly connected to the front side of the fixed block. The telescopic rod at the front of the electric push rod is fixedly connected to the push frame, and the discharge box is fixedly connected to the top left side of the base plate. This utility model, through its automated design, including the electric push rod pushing the explosive into the hole and the spring-loaded buffer support plate for automatic feeding, reduces the number of manual operations involving direct contact with the explosive, significantly reducing safety hazards caused by misoperation or vibration, and improving the overall safety of the blasting process.

This invention discloses a self-balancing scooter with a spiral steel wire parasol wheel. The scooter's main structure includes a frame, composite wheels, a wheel power unit, an elastic drive unit, a motion control unit, a camera assembly, and a power and electronic control unit. The scooter uses a composite wheel consisting of a deformable spiral steel wire parasol wheel and a soft wheel, offering advantages in adapting to complex terrain and overcoming obstacles. When the scooter is moving normally, the spiral steel wire parasol wheel is embedded in the grooves of the soft wheel and can roll normally. When the spiral steel wire parasol wheel is opened, it can also replace the soft wheel to drive the scooter. When the steel wire parasol wheel is triggered to open instantaneously, it provides the scooter with upward and forward bouncing force, enabling a certain height of jumping motion during movement. The instantaneous bouncing force of the scooter is provided by a spring energy storage device, employing a specially structured spiral mechanism to achieve the instantaneous release of spring compression energy storage and elastic potential energy.