86results about How to "Reduce overdependence" patented technology

The invention discloses an ultra-short-term photovoltaic power prediction method and system based on sky-ground multi-modal data fusion. The method comprises the following steps: S1, acquiring multi-modal data; s2, processing and fusing the multi-modal data; s3, evaluating the quality of the fused multi-modal data, and judging whether the peak signal-to-signal ratio of the fused multi-modal data is greater than or equal to a preset threshold value or not: if so, entering the next step; s4, constructing an integrated prediction model, and performing iterative training on the integrated prediction model by using the multi-modal data; and S5, inputting the fused multi-modal data into the integrated prediction model to obtain a photovoltaic power prediction trajectory. According to the method, the complex change of the surrounding environment of the photovoltaic power station can be more comprehensively captured by fusing the sky-ground multi-mode data, so that the accuracy of photovoltaic power prediction is improved. By processing and fusing data from different sources, the advantages of various data can be fully utilized, and the comprehensiveness and depth of prediction are improved.

The invention belongs to the technical field of artificial intelligence, discloses a human action understanding method based on a large language model and self-adaptive contrast decoding, and provides an FLARE framework, which enables actions and language semantics to be aligned by introducing a pre-trained frozen large language model LLM and a frozen action encoder, and utilizes a self-adaptive contrast decoding AdaCD method to understand actions and language semantics. According to the method, excessive dependence on language priori is reduced, so that the understanding ability of the model on actions is improved, the method can process various action understanding tasks, the generalization ability of the human action understanding method is improved, and meanwhile, the problems of task specificity and computing resource consumption in the prior art are reduced.

The invention relates to the technical field of fault diagnosis, in particular to a fault diagnosis model, method, system and device based on small sample learning and a readable medium. The invention provides a construction method of a fault diagnosis model based on small sample learning, which comprises the following steps: firstly, collecting vibration signal data on a target moving part, and converting the vibration signal data into a feature image to construct a data set in which the feature image marked with a fault category is stored; performing machine learning on the constructed fault diagnosis model on a data set; the fault diagnosis model comprises a feature extraction module and a classification module, the feature extraction module learns a deep local descriptor of a feature image based on a residual element multiplication network to output a local feature, and the classification module queries the similarity between the feature image and each fault category by adopting a proximity classification algorithm based on the output of the feature extraction module. According to the method provided by the invention, the fault diagnosis effect can be remarkably improved, and the accuracy of the diagnosis result when the training sample is unbalanced under the small sample is improved.

The invention discloses a valet parking method and system, and relates to the technical field of intelligent driving, and the valet parking method comprises the steps that a vehicle end responds to a connection request sent by a parking lot end, an encryption channel is established with the parking lot end, and a parking lot entrance positioning encryption data packet sent by the parking lot end is received through the encryption channel; when the parking lot entrance positioning encryption data packet is received, the initial pose of the vehicle is set according to the parking lot entrance positioning encryption data packet, and a receiving confirmation message is sent to the parking lot end; acquiring vehicle environment data, and constructing a real-time local map at the entrance of the parking lot based on the initial pose of the vehicle and the vehicle environment data; obtaining a valet parking route map, and matching the real-time local map with the valet parking route map to obtain a route matching result; and the vehicle is controlled to complete valet parking according to the route matching result, and the route matching success rate of the valet parking function can be improved with low cost.

The invention provides a simulation method, device and equipment of a solar ground source heat pump system and a medium. The method comprises the steps that based on design parameters of a shallow soil source and a ground source heat pump unit, simulation calculation is conducted on a ground source heat pump system within a preset time period, and the initial heat taking amount of the shallow soil source within the preset time period is obtained; based on design parameters and meteorological parameters of a shallow soil source and a ground source heat pump unit, design parameters of a solar heat collector, design parameters of a heat storage water tank and design parameters of a heat exchanger, a ground source heat pump system and a solar system are subjected to simulation calculation, and the heat transfer amount transmitted to the shallow soil source by the solar heat collector is obtained; and optimizing the initial heat extraction amount to obtain a target heat extraction amount. Renewable energy sources such as solar energy can be fully utilized, dependence on traditional energy sources is reduced, the operation cost is reduced, the overall energy efficiency of the solar ground source heat pump system is remarkably improved, and efficient operation of the solar ground source heat pump system is achieved.

The invention discloses a pipeline leakage point positioning method considering gas-liquid two-phase flow, and belongs to the technical field of pipeline leakage point positioning. In order to solve the problem that an existing pipeline system leakage detection method is single in monitoring form and inaccurate, the method comprises the steps that a horizontal pipeline gas-liquid two-phase stratified flow motion model is established; judging the relation between the gas phase and the liquid phase in the pipeline and the pressure of the gas phase and the liquid phase relative to the pipeline; expressing and calculating the leakage rate of the pipeline system; establishing a two-phase flow model for leakage point positioning; and finally positioning a leakage point. The method is suitable for leakage point positioning of a single-phase flow pipeline system and is also suitable for leakage point positioning of a gas-liquid two-phase flow pipeline system. Necessary data are provided for leakage point positioning through a model simulation method, excessive dependence on pipeline system data monitoring is reduced, the leakage point positioning efficiency is greatly improved, and the leakage point positioning cost is reduced.

The present invention discloses an enterprise operation supervision system for enterprise management, which specifically relates to the field of equipment supervision. It collects signal strength data of vehicle-mounted monitoring equipment, uses the signal average and standard deviation to dynamically evaluate the stability of the communication environment, and intelligently determines whether it is suitable for data transmission. In an unstable environment, ensure that data is securely stored locally; in a good environment, extract the data update change index and the fault impact trend index to calculate the pre-evaluation coefficient, and compare it with the early warning analysis threshold to generate a warning signal, so as to timely discover potential problems and improve equipment reliability. By calculating the distance from the maintenance point, the vehicle's motion status can be monitored, and the early warning strategy can be dynamically adjusted to improve the safety, efficiency and controllability of vehicle operations, and more intelligently supervise corporate property.

The invention discloses a cutting chain type transverse shaft type cutting mechanism suitable for a coal roadway and a half-coal-rock roadway and a heading machine. The cutting mechanism comprises a main machine frame, a motor, a cutting chain, a left cutting head and a right cutting head, the motor, the cutting chain, the left cutting head and the right cutting head are installed on the main machine frame, the left cutting head and the right cutting head are located on the two sides of the cutting chain respectively, and the motor drives the cutting chain to rotate and drives the left cutting head and the right cutting head to rotate; wherein a plurality of middle cutting teeth are distributed on the cutting chain; a plurality of left cutting teeth are distributed on the left cutting head; a plurality of right cutting teeth are distributed on the right cutting head; at least part of the middle cutting picks are matched with the left cutting picks to form a spiral line shape, and at least part of the middle cutting picks are matched with the right cutting picks to form a V shape. The problem that an existing cutting mechanism is low in cutting efficiency is solved.

The invention discloses a high-fill roadbed settlement prediction method based on a neural network, and relates to the technical field of civil engineering construction operation and maintenance, and the method comprises the following steps: S1, constructing a relation function between roadbed filler settlement and filling height; s2, dividing roadbed filling height data and settlement time sequence data after cleaning into a training set and a test set; s3, constructing a settlement prediction model; s4, performing model training; and S5, carrying out model testing until the model testing is passed, and determining a high-fill roadbed settlement prediction result of the to-be-predicted engineering field by using the settlement prediction model passing the testing. According to the method, an original physical information neural network is improved, a network structure in which 1D convolution and causal convolution are arranged in a staggered manner is adopted, time sequence features of monitoring data are effectively extracted, the time causality of the monitoring data is ensured, and a new thought is provided for railway high-fill roadbed settlement prediction.

The invention relates to the technical field of power grid operation, and provides a power grid operation safety distance accurate sensing device and method in a non-fixed scene, and the device comprises a hardware device and terminal software which is in communication connection with the hardware device. The hardware device is integrated and deployed on a movable support or a holder, and comprises a laser radar sensor which is used for rapidly scanning a power grid operation scene and obtaining three-dimensional point cloud data including three-dimensional coordinates, laser intensity and echo information; the high-definition visible light camera is approximately parallel to the optical axis of the laser radar sensor and is used for collecting real-time video images of the operation scene; an AI visual analysis module and a point cloud processing unit are arranged in the embedded processor; and the terminal software is deployed on the edge computing equipment or the background server and is used for receiving and processing the data from the hardware device. According to the invention, the safe distance can be accurately sensed.

The invention belongs to the technical field of wind power generation, and particularly relates to a wind turbine generator state evaluation method and a related device, and the method comprises the steps: obtaining an electromagnetic transient response signal of a to-be-evaluated wind turbine generator; performing empirical mode decomposition on the electromagnetic transient response signal of the wind turbine generator to be evaluated to obtain a plurality of image forming model components; performing feature extraction on each image forming model component, and performing normalization processing to obtain a feature vector; classifying the feature vectors by using a pre-constructed state classification model to obtain a state evaluation result of the to-be-evaluated wind turbine generator; wherein the pre-constructed state classification model is a pre-trained support vector machine; according to the method, the fault features in the electromagnetic transient response signals of the wind turbine generator can be effectively extracted, and the accuracy and robustness of state evaluation are improved; meanwhile, non-linear and non-stationary signals can be decomposed in a self-adaptive mode, the time domain features of the signals are reserved, and the information amount and accuracy of state evaluation are improved.

The invention discloses a transparent polyurethane hot melt adhesive and a preparation method thereof, relates to the technical field of polyurethane hot melt adhesives, and solves the problems that PET (Polyethylene Terephthalate) waste cannot be recycled in a high-valued manner and the traditional polyurethane hot melt adhesive excessively depends on petrochemical resources in the prior art. The transparent polyurethane hot melt adhesive prepared by the preparation method disclosed by the invention is prepared from the following components in parts by mass through reaction: 420 to 510 parts of waste PET (Polyethylene Terephthalate) sheets, 35 to 48 parts of sulfur-containing dihydric alcohol, 0.15 to 0.30 part of an antioxidant, 0.18 to 0.47 part of a catalyst I, 180 to 240 parts of poly (carbonate-ether) dihydric alcohol, 0.05 to 0.12 part of a catalyst II and 115 to 142 parts of diisocyanate. The transparent polyurethane hot melt adhesive has high transparency and excellent glass adhesion, high-valued recovery of PET waste can be realized, excessive dependence on petrochemical resources is reduced, and a new thought is provided for development of sustainable materials in the plastic recovery industry.

The invention discloses a mechanism for cleaning dust on the surface of a glass cover plate, which is a mechanism applied to the technical field of mobile phone glass cover plate production, based on two groups of film covering stations and film collecting stations, a first film and a second film are used for respectively cleaning dust on two sides of the glass cover plate through adhesive film attachment, the cleaning effect is good, and the efficiency is high. The yield of a downstream production line is greatly improved, meanwhile, dependence on manpower is reduced, and secondary pollution of manpower (fingerprints and the like) to the glass cover plate is avoided. The excessive dependence of the industry on manpower can be reduced, and the production line efficiency is improved.

The invention discloses a laser cladding type additive manufacturing YBCO high-temperature superconductor system and method, and relates to the technical field of superconducting ceramic preparation. In order to solve the problems of low processing efficiency and complicated steps in the existing YBCO superconducting ceramics, the following technical scheme is provided: the device comprises a laser, a powder feeder, a mechanical arm and a cladding head, the mechanical arm drives the cladding head to move according to a printing path, and the laser conveys laser to the cladding head through an optical fiber; the powder feeder feeds powder into the cladding head, laser melts the powder and solidifies the powder on a substrate of the rotary table to form a three-dimensional complex structure, temperature distribution of a manufacturing structure is fed back through the infrared temperature sensor, and the camera monitoring system captures the deposition quality of a sample structure in real time. The method has the beneficial effects of high precision, high efficiency, high material utilization rate, good flexibility, low cost and the like, and provides a new and promising technical approach for preparation of the high-temperature superconducting material.

The present invention discloses a method and system for processing ancient document climate record data, comprising: preprocessing an original document in the form of classical Chinese to obtain climate characteristic words contained in the original document; determining keywords from the climate characteristic words contained in the original document, and obtaining a two-dimensional word frequency matrix based on the keywords; inputting the two-dimensional word frequency matrix into a topic model of ancient document climate record data to obtain the number of climate record topics involved in the original document, keywords of each climate record topic and the probability that the original document belongs to each climate record topic; determining the specific meaning of the climate record topic based on the keywords of the climate record topic with the highest probability, and obtaining the climate event type of the original document.

The present application relates to a method, device, equipment and storage medium for identifying the reading of a pointer instrument; in the present application, it is first necessary to respectively identify the pointer line segment, key scale points, text detection frame and text recognition results in the instrument image, and determine the scale value of each key scale point by matching, which can improve the recognition accuracy; and, when determining the final reading, the present application determines multiple initial readings by combining the scale values ​​of any two key scale points, and determines the final reading based on all combined initial readings; this method can reduce excessive reliance on the accuracy of specific scale point positions and scale values, thereby improving the fault tolerance rate, so that the present solution can still accurately identify the instrument reading in the presence of interference in the instrument image, unclear scale values, pointer blocking the scale value and other interference conditions, making the present solution more robust and adaptable when identifying the instrument reading.

The invention discloses a distributed computing fault snapshot generation system and method and a storage medium, and relates to the technical field of distributed computing, and the distributed computing fault snapshot generation system comprises a master control node and computing nodes; the master control node is used for capturing a calculation task exception event and adding context information for the calculation task exception event; reporting the calculation task exception event added with the context information to the calculation node with the calculation task exception; the context information at least comprises abnormal information; the computing node is used for analyzing the type of abnormal information and executing a diagnosis strategy according to the type of the abnormal information when the computing task abnormal event is received; and collecting snapshot data, packaging the collected snapshot data, and uploading the packaged snapshot data to a distributed storage. The system can actively capture a complete state snapshot at the moment of a fault, and can effectively support deep root cause analysis. In addition, the system automatically executes a proper diagnosis strategy and persistently stores snapshot data, and has accurate triggering and intelligent decision-making capabilities.

The utility model relates to an air duct circulating system for the cotton spinning industry. The device comprises an air duct, the air duct is composed of a main pipeline, branch pipelines, an air inlet pipe and an air interchanger, one end of the main pipeline is communicated with the air inlet pipe, the air interchanger is communicated with the main pipeline through the air inlet pipe, the main pipeline is communicated with the branch pipelines, the branch pipelines are distributed at all positions in a working area, and the air interchanger is communicated with the main pipeline through the branch pipelines. The system is characterized in that the system further comprises a monitoring module, an acquisition module, a main control unit, an early warning device, a ventilation control module, a communication module, a cloud server and a mobile terminal, the monitoring module is an infrared sensor, and the output end of the infrared sensor is connected with the corresponding input end of the main control unit; the collecting module is composed of a temperature sensor, a humidity sensor and an air quality sensor. The air duct circulating system can achieve balanced distribution of temperature in a workshop.

The invention relates to the technical field of data processing, in particular to a strategy for evaluating the influence of digital transformation on enterprise finance. The influence of digital transformation on enterprise finance is analyzed based on a preventive storage motivation and an investment substitution motivation; the method specifically comprises the following steps: digital transformation can promote / suppress enterprise finance; the digital transformation promotes the enterprise to remove virtual from real by promoting the intensity of internal research and development activities; the digital transformation promotes the enterprise to remove virtuality from reality by relieving financing constraints; the digital transformation promotes the enterprise to remove virtuality from reality by enhancing the over-confidence of the management layer. Advanced technologies such as Internet, big data and artificial intelligence are fused with entity economy, deep digital transformation is promoted, innovation potential is stimulated, digital economic potential is activated through an innovation strategy, and digital treatment is further strengthened.

The invention discloses a communication system and an exclusive service control method. In the system, a session border controller in an exclusive network receives an exclusive service request message of terminal equipment, and the message carries an identity identifier of the exclusive service request message; an exclusive service authorization request message containing the identity label is sent to a policy control function network element, and the network element queries service subscription data of the terminal equipment for the exclusive service according to the identity label and feeds back an exclusive service authorization response message to the session boundary controller according to a query result; and the session border controller forwards the response message to the IP multimedia subsystem, and the IP multimedia subsystem determines a corresponding exclusive service response message according to the exclusive service authorization response message and sends the response message to the user terminal or stores the response message. The technical problems that an external platform needs to be introduced to control the exclusive service of the roaming user in the exclusive network and the control strategy depends on the attribution network in the related technology are solved.

The application provides a strain of Arthrobacter sp. ZJUHUYJH1 and application thereof in prevention and treatment of paratyphaceae root-knot nematodes, and belongs to the technical field of prevention and treatment of plant root-knot nematodes. The Arthrobacter sp. ZJUHUYJH1 provided by the application has a preservation number of CCTCC NO: M 2025922, is isolated from rice rhizosphere soil infected by paratyphaceae root-knot nematodes, has a good prevention and treatment effect on paratyphaceae root-knot nematodes, a rectification mortality of 91.4% on second instar larvae of root-knot nematodes, can reduce the number of root-knots and the ratio of the number of root-knots to dry weight of rice infected by paratyphaceae root-knot nematodes, and has potential and practical application value in the research of paratyphaceae root-knot nematodes.

The invention relates to the field of distilled liquor classification, and provides an intelligent distilled liquor classification method and device in order to improve the distilled liquor classification efficiency and reduce dependence on expert experience at the same time. According to the method, the color features and the compound features capable of being quantitatively expressed in the distilled liquor are spliced to serve as input of the intelligent distilled liquor classification model, classification is completed based on the intelligent distilled liquor classification model, the processing efficiency of the whole process is higher, excessive dependence on traditional artificial experience is reduced, and classification is more intelligent and standardized.

The invention discloses a pod propulsor structure optimization design method based on data driving. Comprising the steps of defining a design variable and an optimization target, constructing a parameterized geometric model, building a full-process automatic simulation analysis framework, generating a sample space through experimental design, obtaining a complete sample data set, constructing a high-precision agent model, carrying out algorithm optimization based on the agent model, verifying optimal design and calculating a data closed loop. And continuously updating the model. According to the method, the trained data driving agent model is utilized, in a huge design space, performance evaluation can be completed only in an extremely short time, the calculation period is greatly shortened, and a global optimal solution set can be rapidly obtained in combination with a global optimization algorithm; according to the method, various factors such as design requirements, test design, an agent model construction method and an optimization algorithm are comprehensively considered, the method can be suitable for structural design of other pod propellers with different production models or different design requirements, and effective guidance is provided for subsequent design of the pod propellers.

This invention provides an aortic pre-fenestration branch guidewire guidance system, comprising a central catheter, a capture ring, and a sliding cannula. The capture ring is connected to the outer wall of the central catheter. The sliding cannula is coaxially sleeved on the outside of the central catheter and can slide along the axial direction of the central catheter. When the sliding cannula moves proximally, the capture ring is released from the constraint of the sliding cannula and unfolds radially outward of the central catheter, thereby forming a capture opening that can accommodate the target guidewire. When the sliding cannula moves distally, the sliding cannula radially compresses the capture ring in its unfolded state, forcing the capture ring to undergo radial compression deformation. The radial compression deformation of the capture ring reduces the cross-sectional area of ​​the portion surrounding the target guidewire, thereby clamping the target guidewire and improving the success rate.

The invention discloses a cordyceps sinensis bionic culture method which comprises the following steps: determining a target area in which cordyceps sinensis is naturally distributed, arranging a signal tower A for each area, and collecting climate data of the target area; a plurality of independent compartments are arranged in the culture base, each compartment corresponds to one target area, a signal tower B is arranged, and the signal tower B receives data transmitted by the signal tower A; the inoculated hepialus armoricanus larvae are evenly distributed in all the compartments; monitoring the growth information of the hepialus armoricanus larvae in different time periods in each compartment in real time, and recording the growth information of the hepialus armoricanus larvae in different time periods; growth information in different time periods is analyzed, climate data are reconstructed and stored in a signal tower B, and the climate data in different compartments are controlled to be unified by using the signal tower B; according to the method, the natural environment can be accurately simulated, it is ensured that the growth of cordyceps sinensis is closer to the natural state, the ecological requirements of cordyceps sinensis hyphae and hepialus armoricanus larvae are met, and quality improvement and accumulation of active ingredients are facilitated.

The invention discloses a method for preparing cyclopentenone substances through furanol rearrangement-hydrogenolysis, and belongs to the field of fine organic chemicals. The process comprises the following steps: mixing furfuryl alcohol compounds (furfuryl alcohol, 5-methyl furfuryl alcohol and 2, 5-dimethylolfuran) with a water solvent according to different concentrations, adding a cobalt disulfide (CoS2) catalyst, and reacting in a hydrogen environment of 0.5-1.5 MPa at the reaction temperature of 160-200 DEG C; the 2-cyclopentenone / 3-methyl-2-cyclopentenone is obtained by adopting a rearrangement-hydrogenolysis method, the process is simple, the operation is convenient, the catalyst is cheap and easy to obtain and can be recycled for multiple times, and industrialization is easy. When the conversion rate of 2-cyclopentenone synthesized by furfuryl alcohol reaches up to 100%, the yield reaches up to 90%; when the conversion rate of the 3-methyl-2-cyclopentenone synthesized from the 5-methylfuranol and the 2, 5-dimethylolfuran is up to 100%, the yields are up to 80% and 78% respectively.

The invention belongs to the technical field of electrochemical in-situ characterization, and particularly relates to a packaging layer processing method for near-normal-pressure photoelectron spectroscopy analysis. The method comprises the following steps: constructing an initial packaging layer covering liquid electrolyte on the surface of a working electrode; integrating the samples on a sample carrying table and transferring the samples to an analysis equipment chamber; the thinning system of the equipment is used for carrying out in-situ thinning on a target area, the analysis beam of the equipment is synchronously or alternately used for monitoring the signal change of the thinned area in real time, and the thickness of the packaging layer is precisely regulated and controlled to the target nanoscale based on signal feedback. According to the method, through a strategy of first packaging and then in-situ optimization, the contradiction that effective sealing and high signal transmittance are difficult to consider in a traditional method is solved, high-quality in-situ and dynamic characterization of an electrode-electrolyte interface in a volatile liquid electrolyte environment is realized, and the accuracy and reliability of test data are remarkably improved.

The invention relates to a fine-adjustable side window mounting structure and method for a passenger train, and belongs to the manufacturing technology of rail transit vehicles. According to the technical scheme, the extending direction of an installation block long round hole in an installation block and the extending direction of a window frame long round hole in a window frame installation inclined face are in a crossed state, adjustment freedom degrees are provided in the vehicle width direction and the vehicle length direction, and fine adjustment in the vehicle width direction and the vehicle length direction is conducted respectively; adjusting freedom is provided by adjusting the matching position of the mounting block and the window frame mounting slope in the vertical direction of the vehicle, and the vehicle is adjusted in the vertical direction. The method has the beneficial effects that high precision and controllability are achieved, and the installation comprehensive error is controlled within the range of + / -4 mm through a unique three-way fine adjustment mechanism; 25-degree inclined plane matching is combined with tooth-shaped meshing, and the anti-micro-motion performance is excellent in a vibration environment. Adjustment is convenient and fast, and the adjustment direction is clear due to the design of the crossed oblong holes. Due to the design of the split type mounting blocks, stress concentration is avoided, the rigidity of the whole structure is good, and the service life is long.

The invention relates to the technical field of image segmentation, in particular to a tongue coating segmentation image and digestive disease classification method. According to the method, the position of a particle center point is determined by introducing multi-scale LoG filtering, and tongue particles and tongue coating particles are distinguished according to the law of spatial distribution and density change characteristics; according to the method, local adaptive threshold adjustment is carried out on other pixel points through the change of uneven particle density of different parts, more accurate tongue coating areas and tongue quality areas are obtained through division, and subsequent classification is carried out based on the tongue coating areas and the tongue quality areas. According to the method, the tongue coating area is divided more accurately through multi-scale LoG filtering and spatial statistical characteristics, a reliable data basis is provided for subsequent auxiliary classification of digestive diseases, and the classification accuracy is improved.