128results about How to "High data reliability" patented technology

The invention discloses a data processing method and system of a chromatographic instrument, and relates to the technical field of data processing, and the method comprises the following steps: collecting whole-course original detection signals and external interference signs generated in a chromatographic analysis process, carrying out time alignment under a unified time scale, generating an interference rhythm index, and calculating the interference rhythm index; the reference is used as a unified reference for subsequent signal comparison; and based on the interference rhythm index, performing phase drift comparison on the acquired signal, calculating the phase difference between the detection signal and the interference signal, drawing a beat frequency wandering graph, extracting candidate signal segments of pseudo-period interference according to beat frequency change, and generating a pseudo-period candidate segment list. According to the invention, by establishing the interference rhythm index and comparing the interference rhythm index with the phase drift, the time decoupling of the detection signal and the interference signal is realized, and the sampling anti-interference capability is improved; and through dynamic control of a false peak characteristic fingerprint draft and a misjudgment reason table, signal rhythm correction and peak identification optimization are completed, so that the detection accuracy and the data stability are improved.

The invention relates to the field of sensors, and discloses a sensor drift correction method and system based on transfer learning, and the method comprises the following steps: S1, collecting sensor data, including three-axis acceleration data, temperature, humidity and air pressure environmental parameters, and S2, calculating the modulus length of a three-axis composite vector. A combined kernel function combining a periodic kernel, a linear kernel and an RBF kernel can simultaneously capture periodic fluctuation of environmental factors, a long-term aging trend of a sensor and short-term random noise, adaptive distribution alignment of a source domain and a target domain is realized through a maximum mean value difference loss function, the model is enabled to be rapidly adapted in the target domain, and meanwhile, the adaptive distribution alignment of the model in the target domain is realized. A slope intercept combined judgment matrix is introduced, accurate distinguishing of zero drift, real motion and tilt events is achieved, the accuracy rate reaches 96% or above, measurement distortion caused by error compensation is effectively avoided, and the system reliability and the data credibility are remarkably improved.

The invention provides a pipeline welding real-time feedback control method and system based on machine vision. According to the method, multi-modal data such as a three-dimensional point cloud, a temperature field and a welding seam image are synchronously collected, and key characteristics such as a pose deviation gradient, a cooling rate curve and a welding seam size sequence are extracted after time sequence alignment, filtering and correction fusion. And a CNN and LSTM mixed adaptive deep learning model is utilized to analyze the welding quality state in real time, and sub-optimal parameters are dynamically optimized based on a reinforcement learning strategy, or a three-level response mechanism including heat reduction input, expert knowledge base matching and precise repair is triggered to process defect early warning. The system has an incremental learning capability and can be self-optimized along with a control period. The full-flow intelligent monitoring, real-time feedback and self-adaptive accurate control of the welding process are achieved, and the welding quality and the automation level are remarkably improved.

The invention discloses a discrete manufacturing multi-view BOM dynamic derivation method and system based on a tree-shaped network structure, and belongs to the technical field of intelligent manufacturing and product data management. The method comprises the following steps: constructing a tree body as a single product data source, and storing a hierarchical relationship, attribute definition and engineering semantics of a product in a tree structure; based on the tree body, dynamically matching derivation rules through a mesh mapping relation library; executing rule matching, semantic verification, structure reconstruction and dictionary verification by utilizing a dynamic view derivation engine to generate a target BOM view; semantic constraint and verification are carried out on the derivation process through a BOM data dictionary module; and realizing access control and audit based on role, scene and data sensitivity through the security and authority control module. According to the method, a new generation of xBOM dynamic derivation architecture which takes a tree form as an ontology, takes a net form as mapping, is configurable in rule and is strong in data specification is constructed; the fundamental problem of discrete manufacturing multi-view BOM management is solved, and engineering rationality and service flexibility are both achieved.

The invention discloses an intermediate-frequency surface shape white light interference splicing measurement method based on polynomial filtering. The method comprises the following steps: carrying out white light interference splicing measurement on an X-ray plane mirror to obtain a group of interference measurement surface shape results with overlapped adjacent sub-aperture space positions; fitting the surface shape result of each sub-aperture by using a Legendre polynomial to obtain a polynomial coefficient under a preset order; fitting according to a polynomial coefficient to generate a fitting surface shape of a corresponding order, and subtracting the fitting surface shapes of all orders from the measurement result to obtain a group of surface shape results subjected to Legendre polynomial filtering; and splicing the filtered shape results according to a least square algorithm to obtain a final measurement result. The method aims at meeting the splicing measurement of sub-nanometer PV precision required by the intermediate-frequency surface shape error detection of the X-ray plane mirror, the least square optimization splicing method is used, the method is not limited by the low-frequency characteristic of the measurement error of the white light interferometer, and the precision and flexibility of the splicing measurement are improved.

This application relates to a UAV frame for bridge inspection, belonging to the technical field of UAVs. It includes a UAV body with a connecting frame at its bottom. This application utilizes a plug-in engagement between a plug and the connecting frame, and a limiting block driven by a push spring in a snap-fit ​​assembly to achieve automatic initial positioning. Simultaneously, a bidirectional lead screw driven by a first servo motor in the limiting assembly drives a moving frame and its locking block for a secure secondary locking. This significantly simplifies the installation and disassembly process of the UAV body and the connecting frame. Furthermore, a buffer assembly located on the outside of the connecting frame, with its support plate sliding within the damping sleeve of the support leg via a slide rod, compresses the buffer spring. This effectively absorbs and dissipates the impact energy generated during UAV takeoff and landing or sudden collisions, maximizing the protection of the precision components inside the UAV body and the shooting and detection devices within the mounting frame. This significantly reduces data acquisition errors and improves operational safety and data reliability.

The invention discloses a carbon emission factor calculation verification method based on a block chain, particularly relates to the technical field of carbon emission accounting and block chain credible measurement, and is used for solving the problems that an existing carbon emission factor calculation process depends on a dispersed system and manual summarization, the publication caliber is not uniform, a traceable evidence chain is lacked, and the calculation efficiency is low. And a supervision mechanism and a third party are difficult to carry out independent re-calculation and credible verification on the factor result submitted by the enterprise. A carbon emission factor calculation template is taken as a core at an enterprise node side, a device range, a statistical period and a data preprocessing rule are configured in a unified manner, abstract identifiers are generated step by step for dimensionalized data abstracts and calculation evidence chain fingerprints, calculation certificates are written into an alliance chain, and a calculation result is obtained. And the verification node obtains a verification fingerprint and registers a verification result based on the same template fingerprint and data slice recalculation, so that an integrated evidence closed loop of factor calculation, recalculation verification and factor selection is formed, and the problems that a factor source is non-transparent, cross-subject recalculation is difficult and a credible basis is lacked are solved.

The application discloses the technical fields of environmental monitoring and water analysis and relates to a water transparency detector with self-immunization of optical window pollution, which comprises a light source, a first reflector, a beam splitter, a sample cell, a second reflector and a third reflector. The first reflector reflects the light of the light source to the beam splitter, and the beam splitter divides the light into transmitted light and reflected light. The transmitted light transmits through the sample cell and is converged by the second reflector to a transmitted end photoelectric detector. The reflected light is converged by the third reflector to a reference end photoelectric detector. The water transparency can be calculated according to the light intensity of the transmitted end photoelectric detector and the reference end photoelectric detector. The application dynamically offsets the error caused by the optical window pollution, light source fluctuation and detector drift through a double-light-path signal and a clean and polluted window pollution error double-ratio real-time compensation algorithm, so that the measurement accuracy can be ensured without a physical cleaning device. In addition, the application can monitor the change trend of the light intensity ratio and actively sense the degree of optical window pollution.

The utility model discloses a self-adaptive force stabilizing device for characterizing a mechanoluminescence cycle process, and belongs to the technical field of material testing. According to the device, collaborative operation is achieved through a reciprocating testing mechanism and a force loading mechanism which are in linkage design; the reciprocating testing mechanism drives a lead screw transmission assembly through a servo motor to drive a single-axis moving platform, a pressure digital display and a material to achieve reciprocating friction in the y-axis direction; the force loading mechanism pulls a sliding platform to slide on a sliding rail through a spring, a round-bottom quartz tube is arranged at the end of the force loading mechanism and is in point contact with a sample of a pressure digital display accessory, and when the sample is slightly abraded to cause position change, the spring dynamically compensates pressure loss to ensure that force loading in the x-axis direction is constant. An optical fiber is integrated in the round-bottom quartz tube to synchronously collect mechanoluminescence signals. The device solves the problem of force attenuation in the existing cycle test, and is beneficial to systematic research on the cycle characteristics of the mechanoluminescent material.

The invention relates to a portable cast-in-place pile hole bottom sediment thickness detection device. The detection device comprises a transportation plate trailer and a thickness detection assembly, a winding mechanism is arranged on the transportation plate trailer, one end of the winding mechanism is fixedly connected with the thickness detection assembly, and the thickness detection assembly comprises a bearing mechanism, a leveling mechanism, a detection mechanism and a moving mechanism; the bearing mechanism serves as a supporting mechanism of the whole detection assembly, the leveling mechanism adjusts the levelness of the detection mechanism and the bearing mechanism, the detection mechanism is used for detecting the sediment thickness, and the moving mechanism is used for driving the whole detection assembly to move. The overall flexible movement of the device is realized through the transportation plate trailer, the winding mechanism can stably lower the detection assembly into a cast-in-place pile hole, the detection assembly can be leveled in the hole through the leveling mechanism, the detection assembly is convenient to move through the moving mechanism, the heavy detection assembly does not need to be manually carried or dragged, and the detection efficiency is improved. The problems that existing equipment is large in size, and manual position adjustment is inconvenient are solved.

A rotor engine comprehensive bench test system and test method belong to the technical field of engine test. The system contains rotor engine, AC power dynamometer, main control unit and other groups of modules. The dynamometer can realize forward and reverse reversible rotation of the engine. The main control unit is provided with forward and reverse switching and three-stage alarm module. Each component is connected and communicated. Sensors, acquisition modules, analyzers and the main control unit are cooperatively networked. The test method sequentially completes bench building, system inspection, pre-starting verification, lubrication establishment, engine starting, top dead center searching, mechanical loss test, warming, full-range boundary monitoring, hot-state running-in, ECU online calibration and data evaluation. The combustion analyzer can calculate cylinder pressure parameters. ECU modified parameters take effect immediately. Data analysis covers power and economic indicators. The present invention solves the problem that existing benches cannot adapt to rotor engine tests, builds a safe and efficient comprehensive test platform and provides technical support for rotor engine research and development.

The invention is suitable for the technical field of fluid mechanics experiments, and provides a Tesla valve visualization experiment device and method based on semiconductor heating and cooling, and the device comprises a Tesla valve heat dissipation plate, a fluid supply and vacuum system, a heating, cooling and temperature control module, a data acquisition and visualization module, a supporting and fixing module and a power supply module. A valve body structure formed by combining an acrylic plate and a copper plate engraved with a Tesla valve runner is matched with a high-precision high-speed camera, so that the real-time visual observation of the flowing state of fluid in the Tesla valve is realized. According to the invention, visualization of the Tesla valve flow channel experiment is realized, the flowing form of fluid in the Tesla valve flow channel can be clearly presented, the Tesla valve performance verification method is suitable for Tesla valve performance verification under different structure parameters, different fluid media and temperature conditions, and reliable experiment support is provided for structure optimization and application expansion of the Tesla valve.

The embodiment of the application discloses a device management method and system based on task priority evaluation. The method comprises the following steps: determining a first device and a scheduling scene according to a business label of a task; determining a task priority of the first device according to at least a business parameter and the scheduling scene; the task priority is used for at least resource scheduling and fault handling of the task; predicting a fault occurrence condition when the first device processes the task based on an artificial intelligence (AI) model to obtain fault prediction information; starting a fault handling plan according to the task priority when the fault prediction information indicates that a specified period meets a specified condition; and managing and handling a fault of the first device according to the fault handling plan when the fault occurs.

This invention discloses a dynamically adjustable forest gap simulation device, belonging to the technical field of ecological experimental equipment. The device includes a supporting column, a supporting frame, a driving component, a shading component, and an intelligent control unit. The supporting column is a multi-stage telescopic structure equipped with a field anchoring mechanism. The supporting frame consists of a central connecting part and multiple radially telescopic and foldable radial arm-shaped components. The shading component is laid on the arm-shaped components to form a variable shading area. The driving component drives the arm-shaped components to extend and retract. The intelligent control unit uses off-grid photovoltaic power and can adaptively control the movement of the arm-shaped components according to preset strategies, light intensity, and wind speed parameters, realizing dynamic forest gap simulation and dynamic restoration of wind-disturbed light spots. This invention features high modularity, accurate simulation, stable structure, and suitability for long-term unattended field experiments, effectively solving the technical problems of traditional forest gap simulation devices, such as static fixation, poor dynamic effects, low intelligence level, and insufficient field adaptability.

This utility model discloses a silicate ion measurement injection pressure stabilization device, comprising: an injection pipe, a pressure stabilization component, and a filter component; the pressure stabilization component includes a self-regulating pressure regulating valve and a flow controller fixedly connected to both sides of the injection pipe, a buffer tank fixedly installed on the upper part of the injection pipe, and an upper buffer cover and a lower buffer cover installed on the upper and lower sides of the buffer tank, respectively. According to this utility model, the water sample being transported in the injection pipe can have its pressure stabilized by the self-regulating pressure regulating valve, flow controller, and buffer tank installed on the injection pipe, ensuring a constant flow rate, thereby improving subsequent measurement accuracy, equipment stability, and data reliability. Simultaneously, the upper and lower buffer covers installed on the upper and lower sides of the buffer tank provide double-layer buffering for the water sample being transported from the injection pipe to the buffer tank during its descent, thus ensuring a stable flow rate of the water sample output through the output pipe.

The application relates to the technical field of pipeline detection, and discloses a pipeline detection device suitable for multifunctional tests, which comprises a bottom plate, an inner supporting circular table I arranged above the bottom plate, an inner supporting circular table II arranged directly above the inner supporting circular table I, a solid interior of the inner supporting circular table I, a hollow interior of the inner supporting circular table II, an open cylinder slidingly connected to the outer wall of the inner supporting circular table I, a hydraulic rod fixedly installed on the inner wall of the open cylinder, a rotating connection between the output end of the hydraulic rod and the bottom of the inner supporting circular table I, a water injection assembly capable of injecting water into the pipeline interior arranged outside the inner supporting circular table II, water injection of the water injection assembly into the pipeline interior through the inner supporting circular table II, full water in the pipeline to simulate the conveying medium state, a pressure medium provided for leakage detection, and a pipeline wall leakage point capable of being detected, the pipeline being in a full water state after water injection, a small amount of water penetrating outward and flowing downward along the pipeline outer wall to provide a detection signal for a humidity detection head if there is a small leakage point on the pipeline wall.

The invention relates to the technical field of biomedical engineering, in particular to an invasive mouse electroencephalogram data acquisition and analysis system and method. The system comprises a motion structure assembly used for providing a motion carrier for a mouse and collecting motion parameters; the control assembly is used for adjusting motor output according to the target parameter, generating a synchronous time label instruction, recording the actual motion parameter in real time and storing the actual motion parameter in association with the time label; and the data acquisition and analysis component is used for acquiring original electroencephalogram data, synchronously storing a time label, aligning an electroencephalogram sampling time sequence with a motion control time label sequence, extracting electroencephalogram pulse position information, calculating a neuron discharge frequency and establishing a correlation between the discharge frequency and a motion parameter. According to the technical scheme, accurate and synchronous acquisition, automatic alignment of time stamps and multi-dimensional correlation analysis of mouse motion states and electroencephalogram signals can be realized.

This invention provides a three-trailer collaborative aircraft transfer method and system based on multi-sensor fusion. This invention relates to the field of aircraft ground support technology, specifically to a three-trailer collaborative aircraft transfer method based on multi-sensor fusion, applicable to short-haul aircraft ground transport to hangars. Through multi-sensor data fusion and multi-trailer collaborative control, it improves transfer accuracy, safety, and efficiency. The method specifically includes the following steps: system setup and sensor calibration; trailer attitude initialization and collaborative parameter configuration; real-time acquisition and preprocessing of multi-sensor data; multi-sensor data fusion and state estimation; dynamic path planning based on fused data; attitude error quantification and calibration based on complex statistics; multi-trailer collaborative driving control and traction distribution; real-time environmental monitoring and risk warning; precise docking at the hangar entrance and attitude fine-tuning; and parking and system review and optimization.

This utility model relates to the field of blood type card centrifuges, specifically a blood type card centrifuge with a photographic function. It includes a centrifuge body with a centrifuge chamber inside. A cover is rotatably connected to one side of the top of the centrifuge body. A polygonal turntable is installed inside the centrifuge chamber, and several blood type card adapters are connected to the turntable. An inner photographic mechanism is installed on the bottom surface of the cover, and several outer photographic cameras are installed on the sidewall of the centrifuge chamber. An illumination component is also installed inside the centrifuge chamber. By using polygonal mounting columns that match the shape of the turntable, the inner photographic cameras, blood type card detection sensors, and illumination component are integrated. Combined with the outer photographic cameras on the sidewall of the centrifuge chamber, automatic simultaneous photographing of both sides of the blood type card after centrifugation is achieved. The polygonal turntable structure and the layout of the multiple blood type card adapters provide the necessary space for the photographic function, enabling electronic storage and traceability of blood type card interpretation results, improving detection efficiency and data reliability.

The invention, which relates to the technical field of power cable fault detection and early warning, discloses a real-time identification and early warning method for fault hidden troubles of a flexible cable for power distribution network operation without power outage, comprising the following steps: acquiring and calibrating partial discharge, temperature, dielectric loss, humidity and current data of a cable through a distributed sensor; data space-time alignment is realized by combining sensor sensitivity correction; combining with parameter deviation degree dynamic weighting fusion features, and highlighting abnormal parameter contributions; then coupling time-space correlation to analyze the feature correlation degree, and avoiding misjudgment of a single time-space point; the hidden danger membership degree is judged by integrating the correlation degree change rate, and the judgment threshold value is dynamically adjusted by combining the cable load; and finally, yellow, orange and red three-level early warning is output in combination with the short-term prediction deviation. The method overcomes the defects of inaccurate data, fixed weight, rigid threshold and the like in the prior art, can accurately identify hidden dangers in real time and perform graded early warning, provides a clear basis for operation and maintenance, and ensures safe and stable operation of the flexible cable in a distribution network power failure operation scene.

The invention discloses a cultivated land non-agrochemical intelligent monitoring method and system based on multi-temporal SAR and optical image fusion, and belongs to the technical field of remote sensing monitoring and land resource management. The method solves the problems of information loss and misjudgment caused by cloud and mist shielding or noise interference of a single remote sensing data source. According to the scheme, the method comprises the following steps: acquiring and preprocessing a multi-temporal SAR and an optical image sequence; carrying out space registration; constructing a double-branch deep neural network, respectively extracting radar scattering features and spectral texture features, and fusing the radar scattering features and the spectral texture features by adopting a cross attention mechanism; generating a change intensity graph based on a time sequence change detection module; and extracting non-agrochemical suspected pattern spots through threshold segmentation, and aggregating and outputting a final monitoring result. The method is mainly used for realizing the automatic and high-precision monitoring of the non-agrochemical change of the cultivated land.

The application discloses an automatic Blaine viscosity detection device for water-based color paste production, comprising a Blaine viscosity detection controller, and relates to the technical field of water-based color paste detection. The automatic Blaine viscosity detection device for water-based color paste production can stably realize double-mode free switching of multi-sample synchronous detection and single-sample multi-point detection, comprehensively improves detection efficiency and data reliability, and is equipped with a detection frame mechanism and three independent torque sensors, can simultaneously detect three kinds of water-based color paste in parallel, shortens batch detection time, can realize three-point synchronous detection in the same sample cylinder, effectively avoids random errors caused by single-point detection, and can guarantee synchronous rotation of three rotors, stably and efficiently transmits power, and can fully meet the diversified viscosity detection requirements in water-based color paste production.

The invention discloses a regional multi-microgrid cluster-oriented collaborative operation system, which relates to the technical field of power system dispatching and control, and comprises an asynchronous sensing fusion module, an asynchronous receiving and time axis reconstruction module, a time axis reconstruction module and a time axis reconstruction module, which are used for carrying out asynchronous receiving and time axis reconstruction on operation state data reported by a plurality of microgrid nodes; the credibility level is determined based on the communication link state and the data integrity, and weighted merging is carried out in the same time window according to the credibility level to form a unified state view; and the prediction difference modeling module is used for extracting state change characteristics among micro-grid nodes based on the state view, determining state offset information and a historical change boundary thereof, and taking the state offset information and the historical change boundary as numerical constraints of scheduling calculation. According to the system provided by the invention, through the asynchronous sensing fusion module, time axis reconstruction is realized on the basis of asynchronous data receiving, the credibility level of each piece of data is dynamically evaluated in combination with a communication link state and data integrity, and then weighted fusion is carried out in a unified time window.

This invention discloses a system fault recovery and data backup method based on signal and power amplifier, specifically including: establishing a causal digital twin model containing a structural causal model; defining a dynamic spatiotemporal graph and generating its temporal state; extracting features using a lightweight spatiotemporal graph neural network and outputting a health score and anomaly code; injecting the anomaly code into the digital twin for causal inference to predict the timing of faults and data risks; generating a collaborative disaster recovery instruction sequence based on the prediction results; and executing the instructions to complete link switching and state recovery. This invention effectively solves the problem of fragmented hardware fault recovery and data backup processes through intelligent perception and collaborative decision-making, significantly improving system recovery speed and data reliability.

The invention relates to the technical field of adsorbent performance optimization, in particular to a CO2 humidifying adsorbent adsorption performance optimization method and system based on multi-feature matching, and the method comprises the steps: constructing a synthetic functional group set, selecting adsorbents based on the synthetic functional group set to obtain a pre-selected adsorbent set, sequentially extracting pre-selected adsorbents from the pre-selected adsorbent set, and extracting the pre-selected adsorbents from the pre-selected adsorbent set; the method comprises the following steps: extracting a pre-selected adsorbent, determining a pre-selected adsorption characteristic parameter group of the extracted pre-selected adsorbent, constructing a simulation model according to the pre-selected adsorption characteristic parameter group to obtain a simulation adsorbent, performing adsorption condition optimization on the extracted pre-selected adsorbent based on the simulation adsorbent to obtain target adsorption data, and summarizing the target adsorption data to obtain a target adsorption data set. According to the method, the efficiency of optimizing the adsorption performance of the CO2 adsorbent can be improved, and the dependence on experimental resources in the optimization process is reduced.

The utility model discloses a kind of electric push rod load life testing devices, comprising: rack;Fixed seat is located in the lower part of the rack, for fixing the electric push rod to be measured;At least two horizontal parallel arrangements of sliding load, sequentially arranged in the vertical direction above the electric push rod to be measured;The lowermost sliding load is connected with the output end of the electric push rod to be measured;Guiding mechanism, vertically arranged on the rack, for guiding the sliding load along vertical direction sliding;Barrier, located on the rack or guiding mechanism, for abutting below each layer of sliding load to maintain the spacing between layers;Wherein, the electric push rod to be measured pushes the lowermost sliding load to move up and sequentially triggers the sliding load linkage of adjacent upper layer, forms load stepwise increasing.The utility model has the advantages that: the stepwise increasing of load is realized, the dynamic scene of load layer-by-layer superposition in actual working condition can be simulated, and test result is closer to real application.

The application discloses a transaction system from a farm to a sales terminal, relates to the technical field of agricultural product supply chain management and electronic commerce, and comprises a breeding end data acquisition unit which is configured to collect and upload breeding whole-process data including at least individual animal identity, growth environment parameters, feed input information, disease prevention records and weight monitoring data in the farm in real time. The application realizes that the whole-chain data is unforgeable from the breeding source to the sales terminal by uploading the breeding whole-process data collected by the Internet of Things to the block chain for trusted storage. The transaction efficiency is improved and the performance risk is reduced by automatically executing transaction matching, fund transfer and logistics triggering through the smart contract. The product transportation quality is ensured and the transparent traceability experience is provided for consumers by integrating cold chain monitoring data and terminal traceability query.

The application discloses a kind of gene variation evidence mining method and system based on multi-stage trusted inference, the method includes: obtaining academic literature to be parsed, literature is structured and semantically blocked;Respectively extract gene variation experimental evidence in table data and text text, construct dual-source evidence set;Based on gene variation identification, complete heterogeneous evidence fusion, and evidence is standardized processing;Combined with original text accurate matching and semantic checking mechanism, evidence is carried out traceability checking, abnormal identification and no illusion accurate correction;Further, cross-fragment evidence is globally aligned, deduplicated and fused, to generate standardized, high-precision, traceable gene variation functional evidence dataset;The application can effectively solve the problems of unstable long text analysis, evidence missed detection, data distortion and model illusion in the prior art, and improve the accuracy and engineering application capability of gene variation evidence mining.

The application relates to the technical field of wind turbine fault detection, and provides a wind turbine transmission chain fault detection method and system, which comprises the following steps: acquiring multi-dimensional monitoring data of a wind turbine transmission chain; performing standardized preprocessing on the multi-dimensional monitoring data based on operation condition characteristics and signal transmission characteristics to obtain effective monitoring data; performing feature extraction on the effective monitoring data based on time-frequency feature analysis and fault feature enhancement processing to obtain transmission chain full-link fault features; combining historical operation data and real-time operation trends through data statistics and time sequence analysis algorithms to construct and update adaptive detection thresholds; and comparing the full-link fault features with the adaptive detection thresholds based on multi-index fusion decision and transmission chain fault conduction mechanism analysis to obtain fault detection results. The application solves the problems of multi-source data asynchronization and weak fault identification difficulty, and realizes high-precision fault detection and accurate positioning under variable conditions.

The utility model provides a visual tipping bucket type rainfall station which comprises a rain gauge, a camera and a control box are installed on the rain gauge, an acquisition bucket and a tipping bucket type rain gauge which are arranged up and down are arranged in an inner cavity, the camera is used for shooting scene photos of the rain gauge, and a remote terminal unit (RTU), a rechargeable lithium battery and a wireless communication module are arranged in the control box. According to the tipping-bucket rain gauge, the functions of rainfall monitoring, data transmission and visual monitoring are integrated, the camera can shoot scene photos of the rain gauge in real time in all directions, and whether the tipping-bucket rain gauge is turned over by mistake under the condition of no rainfall or is not turned over correctly in the rainfall process or not can be judged by analyzing the photos collected by the camera; and the rainfall monitoring accuracy is improved. Through modular design and multi-technology fusion, the pain points of a traditional rainfall station in the aspects of rainfall misjudgment, remote maintenance, environmental adaptability and the like are solved, the system is particularly suitable for scenes such as remote mountainous areas and flood prone areas, and the system has the advantages of being flexible in deployment, low in operation and maintenance cost and high in data reliability.