703 results about "Ambient humidity" patented technology

The invention relates to the technical field of coal mine safety monitoring, in particular to an underground coal mine dust concentration monitoring method and system based on multi-modal data fusion, and the method comprises the steps: synchronously collecting dust concentration time sequence data, dust image data, sound wave signal data and environmental parameters through a multi-modal sensor array deployed in an underground coal mine; carrying out preprocessing and feature extraction on the collected data; predicting the decomposed high-frequency and low-frequency component signals by adopting a long short-term memory neural network and a grey Markov model; when the environment humidity is greater than 80%, carrying out light scattering compensation on the predicted value; inputting various predicted values into an improved D-S evidence theory fusion device, and outputting a fusion dust concentration monitoring value; and when the threshold value is exceeded or the temperature and humidity composite condition is reached, an acousto-optic alarm is triggered and a spraying dust-settling device is started. According to the method, the problems of low precision of a single sensor, multi-source data conflict, high-humidity environment measurement deviation and insufficient time sequence and fusion precision in underground coal mine dust concentration monitoring can be solved.

The invention provides a magnetic suspension centrifugal water chilling unit, and belongs to the field of refrigeration equipment. The magnetic suspension centrifugal water chilling unit comprises a magnetic suspension compressor, a condenser and an evaporator, the magnetic suspension compressor is connected with the condenser through an exhaust pipeline, and the condenser is connected with the magnetic suspension compressor and the evaporator through a liquid supply pipeline assembly; the system further comprises a natural process control module, the natural process control module is used for dynamically adjusting the starting sequence of a plurality of magnetic suspension compressors in the water chilling unit by determining the energy efficiency health index of the water chilling unit and calculating the energy efficiency health index, and the natural process control module is electrically connected with the central controller. And a natural process control module is arranged, a multi-dimensional energy efficiency health index model is constructed, and the starting sequence of the compressors is dynamically adjusted by integrating the actual energy efficiency ratio, the evaporation efficiency, the compressor aging coefficient, the pressure fluctuation and the environment humidity correction term.

A gas measuring device (100) and a gas measuring process measure a concentration of a target gas. A detector detection variable sensor (12.1) measures a detection variable (U10) of a detector, which detector detection variable correlates with the concentration of the target gas in a gas sample (Gp). A compensator detection variable sensor (12.2) measures a detection variable (U11) of a compensator, wherein this compensator detection variable correlates less with the target gas concentration. The gas measuring device can be operated in a pressure-compensating mode and / or in a humidity-compensating mode. In pressure-compensating mode, the influence of the ambient pressure on a measurement result is compensated as best as possible under the boundary condition that the influence of the ambient humidity remains sufficiently small. In humidity-compensating mode, the influence of the ambient humidity on a measurement result is compensated as best as possible under a corresponding boundary condition.

The invention relates to the technical field of data processing, in particular to a corrugated board strength detection method for corrugated packaging box production, which comprises the following steps: acquiring water content data, actual edge pressure strength and predicted edge pressure strength of a corrugated board under different environment humidity; a prediction error is obtained according to the difference between the actual edge pressure strength and the predicted edge pressure strength in the corrugated board production process, and the environment humidity is screened to obtain the environment humidity to be analyzed; according to the change relation of the water content data along with the environmental humidity, and in combination with the incidence relation of the pressure on the corrugated board and the deformation of the corrugated board, obtaining the influence degree of the corrugated board under each to-be-analyzed environmental humidity; according to the incidence relation between the environment humidity and the prediction error, the predicted edge pressure strength is corrected in combination with the affected degree, and online strength detection of the corrugated board is achieved. According to the method, the adaptability of the online strength detection operation of the corrugated board to the actual working condition is enhanced, and the overall prediction precision is improved.

The invention relates to the technical field of composite insulator detection, in particular to an autonomous recognition method and system for typical defects of an ultrahigh-voltage line composite insulator, and the method comprises the steps: collecting an inspection image of the ultrahigh-voltage line composite insulator; calculating a temperature rise characteristic coefficient by using the color characteristics in the visible light image and the infrared image and the relationship between the color characteristics and the environment humidity; calculating a defect identification coefficient in combination with the spatial characteristics of the temperature rise phenomenon of the composite insulator; and finally, detecting and identifying typical defects of the composite insulator by utilizing the defect identification coefficient. The invention aims to improve the recognition quality of the typical defects of the composite insulator of the ultrahigh-voltage line.

The invention relates to the technical field of photovoltaic energy storage, and discloses a photovoltaic energy storage intelligent management system based on a micro-service architecture, which comprises the following modules: an environmental parameter acquisition module in which G is irradiance, [delta] T is temperature difference, RH is humidity, [alpha], [beta] and [gamma] are attenuation coefficients, dynamic influence of environment on power generation efficiency is quantified, and the environmental parameter acquisition module is used for acquiring environmental parameters; outputting the power correction factor to the cooperative control module; a power generation efficiency correction module; an edge calculation optimization micro-service module; an optical-storage-network cooperative control micro-service module; a self-adaptive prediction micro-service module; the dynamic influence of environmental factors on the power generation efficiency is accurately quantified through a nonlinear coupling model; a power correction factor can be calculated in real time, the influence of complex working conditions such as environment humidity sudden rise and irradiance instantaneous change in cloudy weather on photovoltaic efficiency is effectively captured, a scientific basis is provided for system decision making, and it is ensured that anomaly detection and energy efficiency optimization are close to actual working conditions.

The invention relates to the technical field of heat pumps, and provides an energy-saving control method and system for a solar combined heat pump, and the method comprises the steps: obtaining a heat energy feature vector according to a heat absorption power feature, a heat release power feature, an environment temperature feature, an environment humidity feature and a solar radiation intensity feature; obtaining a uniform coefficient according to the heat absorption uniformity, the heat release uniformity, the pipeline resistance coefficient and the equipment aging coefficient; a self-adaptive control target is obtained according to the heat energy feature vector, the uniformity coefficient and historical data; and operation control over the solar heat pump set is achieved according to the self-adaptive control target. According to the method, factors such as environment temperature and humidity which have remarkable influence on the performance of the heat pump are considered, the accuracy of heat pump unit uniformity identification can be improved, and the finally obtained uniformity coefficient better reflects the actual uniformity of the heat pump unit; the problems that according to an energy-saving control method of a solar combined heat pump in the prior art, heat energy characteristic analysis is limited, and a uniformity recognition model is single are solved.

The invention provides a chiral super-structure surface and a dynamic regulation and control method for circular dichroism of the chiral super-structure surface, and belongs to the technical field of micro-nano optics. The chiral metasurface can perform differential absorption on vertically incident left-handed circularly polarized light and right-handed circularly polarized light. The chiral metasurface comprises: a substrate layer; the optical waveguide layer is arranged on the substrate layer; the nano structure layer is arranged on the optical waveguide layer and comprises a plurality of Z-shaped nano units which are periodically arranged in a square shape; and the hydrogel layer is arranged on the optical waveguide layer and the plurality of Z-shaped nano units and is used for dynamically regulating and controlling the circular dichroism of the chiral super-structure surface when the environment humidity changes. Under the condition that high circular dichroism of the chiral super-structure surface is achieved, the circular dichroism of the chiral super-structure surface is made to move when the environment humidity changes, and therefore the circular dichroism of the chiral super-structure surface is dynamically regulated and controlled.

A method for managing environmental conditions of an information handling system includes obtaining an ambient temperature and an ambient humidity of an environment proximate to the information handling system. The method also includes determining a target relative humidity for the information handling system and determining a target temperature for the information handling system based on the target relative humidity, the ambient temperature, and the ambient humidity. Further, the method includes determining that the target temperature is within an acceptable range of temperatures. In addition, the method includes adjusting an amount of air recirculated through the information handling system, and adjusting the amount of air recirculated is based on the determination that the target temperature is within an acceptable range of temperatures.

The invention relates to the field of water production systems, and discloses floor type air water production equipment which comprises a multi-stage energy sensing module, an energy budget core module, a dynamic energy distribution module, a water production switching module and an energy optimization closed-loop module. The multi-stage energy sensing module is used for collecting data information of solar input power, battery charge state, environment temperature and environment humidity in real time; the energy budgeting core module calculates current available energy and predicts available energy in a future short period in real time, and deduces an energy trend based on a calculation result; a hierarchical energy management module used for executing a hierarchical energy management strategy according to the budgeting result of the energy budgeting core module; the water production switching module comprises a plurality of water production working modes, and each water production working mode corresponds to different energy consumption and water production efficiency; the energy optimization closed-loop module adjusts the dynamic energy distribution module and the energy budgeting core module; the device can continuously and efficiently work even in a low-light or extreme environment.

The invention relates to the technical field of fan intelligent adjustment, and discloses a fan control method and device, a fan and a readable storage medium. The method comprises the steps that the current environment temperature and the current environment humidity are obtained, and a first wind speed gear corresponding to the current environment temperature and a second wind speed gear corresponding to the current environment humidity are determined; collecting current user body surface temperature distribution, and comparing the current user body surface temperature distribution with preset normal temperature distribution to determine a third wind speed gear corresponding to the current user body surface temperature distribution; based on the first wind speed gear, the second wind speed gear and the third wind speed gear, the target wind speed gear is determined, the fan is controlled to operate at the target wind speed gear, the environment temperature, humidity and human body surface temperature can be detected in real time, the wind speed of the fan is intelligently adjusted, and the comfort of a user in different environments is ensured.

The invention relates to the technical field of metal surface treatment monitoring, and discloses a black titanium surface coloring intelligent monitoring system, which comprises a spectrum acquisition module, an environment disturbance acquisition module, an environment disturbance comparison module and the like. The spectrum acquisition module dynamically adjusts a sampling frequency and a wavelength range in combination with environmental disturbance parameters; the environment disturbance acquisition module acquires information such as a temperature gradient change rate and an environment humidity fluctuation rate, and the environment disturbance comparison module generates a comprehensive index according to the information and judges an environment disturbance level. And the equipment state acquisition and comparison module monitors internal operation parameters of the system, generates an equipment health index and deals with abnormity. The spectrum and model synchronization module matches and evaluates the coloring quality by using wavelet transform and a pre-training model, and the coloring abnormity analysis module identifies defects. In addition, the system is also provided with a dynamic calibration module. The system can accurately monitor black titanium surface coloring, and the production efficiency and the product quality are improved.

The invention discloses a roll-to-roll cleaning control method and system for a flexible circuit board electronic structural member, and relates to the technical field of electronic manufacturing, and the method comprises the steps: carrying out the partitioning processing of a to-be-cleaned member, and obtaining a thin region and a thick region; the drying cavity is partitioned on the basis of the thin area and the thick area, and a partitioned temperature control method is constructed; a dehumidification drying module is placed, and a hot air drying method is obtained based on a chilled mirror dew-point instrument; the roll-to-roll cleaning control method is used for solving the problems that in an existing roll-to-roll cleaning control method for the flexible circuit board electronic structural part, differential temperature control is not carried out on a thick area and a thin area, and the influence of environment humidity in a drying cavity on the drying effect is not considered; the problems that a thin plate is overheated after being dried, water in a thick plate is not completely evaporated, watermarks which cannot be wiped appear on the surface of the electronic structural part, and then the practicability of the cleaned electronic structural part is affected are solved.

The invention provides a temperature control system for a rechargeable catering storage platform, and belongs to the technical field of temperature control. The system comprises an acquisition module used for acquiring and acquiring basic parameter data of a catering storage platform, the basic parameter data including internal temperature data, environment humidity parameters, power parameters of heating equipment and refrigeration equipment, energy related parameters of the platform and historical state data of a heat preservation cover body of the catering storage platform; the control module is used for calculating energy revenue and expenditure according to the basic parameter data and selecting a corresponding control strategy; and the heating and refrigerating execution module is used for regulating and controlling the heating equipment and the refrigerating equipment according to the selected control strategy. According to the invention, the problems of temperature control misalignment and out-of-control energy consumption caused by frequent access and sudden environment change are effectively solved, and accurate temperature control and efficient energy management in a complex scene are realized.

The invention relates to an oil-proof emulsification control method and system for an air compressor of an urban rail vehicle, and solves the problem of lubricating oil emulsification caused by insufficient working efficiency of the air compressor and environment humidity change by constructing a comprehensive control system comprising the compressor, an oil-proof emulsification device and a controller. The system monitors lubricating oil temperature and environment humidity in real time through a temperature sensor and a humidity sensor; the working rate of the air compressor is accurately calculated, wherein the vehicle operation time t2 takes the operation speed larger than 10 km / h as the calculation starting point; the controller comprehensively judges whether the oil-proof emulsification device is started or not based on temperature, humidity and working rate data, and the control strategy comprises the step of dynamically adjusting the working rate judgment node according to the real-time temperature and humidity. According to the method, accurate and reliable control over the oil-proof emulsification process is achieved, emulsification of the lubricating oil is effectively prevented, and energy consumption and maintenance cost can be reduced.

The invention relates to the technical field of automatic control, in particular to an intelligent circulation fumigating machine control system, which is characterized by comprising a main control unit, a system central processing unit and a control unit, the temperature sensor is used for monitoring the temperature in the fumigation environment to ensure that the fumigant plays a role at the optimal temperature; the humidity sensor is used for detecting the air humidity and adjusting the fumigation environment humidity in real time; the concentration sensor monitors the concentration of the fumigant, prevents the concentration from being too high or too low, and guarantees the fumigation effect; the fumigant spraying module comprises a spraying system with an adjusting function, and the spraying speed and the spraying amount are automatically adjusted according to feedback of the concentration sensor. Intelligent control: the system realizes accurate regulation and control of the fumigation process by controlling the concentration, temperature and airflow path of the fumigant, ensures uniform distribution and no dead angle, and improves the fumigation effect.

The invention provides an electric power engineering full-period safety supervision method, and relates to the technical field of electric power engineering safety monitoring, and the method comprises the steps: collecting the electromagnetic field intensity and environment humidity data of a hot-line work region, obtaining three-dimensional space coordinates in real time through combining with a positioning tag on a safety helmet of a constructor, and dynamically calculating the three-dimensional boundary of a dangerous region; a comprehensive proximity index is constructed by analyzing the spatial relationship and the moving trend of the constructors and the dangerous boundary, the trend of the constructors approaching the dangerous area is judged in real time, and early warning is given out through the dynamically adjusted vibration frequency. In this way, the problems that in the prior art, dangerous area division is not accurate, monitoring of the movement trend of constructors is insufficient, and early warning response is single can be solved, and the safety monitoring capacity of the hot-line work environment is greatly improved.

The invention relates to the technical field of gas detection, in particular to response type aerogel and application thereof. The response type aerogel is prepared according to the following steps: mixing and dissolving a metal organic framework material and lead acetate to obtain an adsorption and response integrated probe; mixing silk fibroin, polyethylene glycol diacrylate and the adsorption-response integrated probe, and performing light curing reaction under the action of a photo-crosslinking agent to obtain the adsorption-response integrated probe. Wherein a double-grid aerogel substrate generated by reaction of silk fibroin and polyethylene glycol diacrylate can adsorb water molecules in environments with different humidity to wet the substrate, and a saturated microscopic water environment is provided for colorimetric reaction on the surface of a pore wall, so that interference of environmental humidity on response is effectively relieved. The quantitative method established by using the response type aerogel can be used for high-sensitivity quantitative detection of hydrogen sulfide in livestock and poultry farms.

The invention provides a cultural relic ancient building hollow beam body damage quantification and bearing capacity verification method, and relates to the technical field of data processing, and the method comprises the steps: obtaining the original detection data of a hollow beam body; noise filtering processing is carried out on the ultrasonic signal data and the infrared imaging data, and correction is carried out in combination with an environment humidity parameter; in combination with the water content data of the detection points, carrying out space partitioning on the structural area of the hollow beam body; analyzing humidity correction data in each space partition, identifying signal abnormal areas, and extracting damage features in each abnormal area; performing weighted normalization processing on the multi-dimensional damage parameters, establishing mapping in combination with the moisture content of the spatial partitions and statistical data, and generating a damage quantification result of each spatial partition; carrying out mechanical analysis by combining the material type, the geometric dimension and the load information of each space partition, and generating a bearing capacity distribution result of the hollow beam body; the accuracy of the method for quantifying the damage of the hollow beam body of the cultural relic and ancient building and verifying the bearing capacity is improved.

The invention provides an inspection robot safety early warning method and system based on multi-modal data fusion, and relates to the technical field of inspection early warning, and the method comprises the steps: obtaining the position information of a robot; the method comprises the steps that inspection data are obtained through a multi-mode sensor combination arranged in an inspection robot, and the inspection data comprise harmful gas concentration data, real-time inspection videos, environment temperature data, environment humidity data, environment gas data, wind power data, inspection audio data and thermal imaging data; determining a harmful gas early warning coefficient according to the harmful gas concentration data, the environment temperature data, the environment humidity data and the wind power data; determining a fire source early warning coefficient according to the real-time inspection video, the environmental gas data and the thermal imaging data; determining an equipment early warning coefficient according to the thermal imaging data and the inspection audio data; and generating early warning information. According to the invention, the timeliness and accuracy of early warning are improved.

The invention discloses a control method for defrosting of a parallel flow evaporator, which comprises the following steps of: constructing a multi-dimensional state sensing network, constructing a three-dimensional state sensing matrix by utilizing a distributed temperature sensor array on the surface of an evaporator coil, an air inlet humidity sensor and an inlet and outlet differential pressure type pressure sensor, and acquiring information such as temperature distribution, environment humidity and air pressure difference; through dynamic threshold self-adaptive judgment, based on an environment temperature field, the historical temperature of an evaporator and an icing critical temperature field calculated by a time sequence prediction model, the defrosting triggering condition is judged by combining humidity and an air pressure difference change gradient field; gradient type energy injection defrosting is adopted, in the first-stage defrosting process, the refrigerant flow is adjusted through a proportional electromagnetic valve to conduct directional defrosting, and in the second-stage defrosting process, a compressor is closed, a fin gap shape memory alloy heating network is activated, and latent heat of a phase change material is released to conduct uniform defrosting. And performing multi-physical field cooperative regulation and control, constructing a coupling model, and adjusting the heating power and pulse modulation duty ratio sequence.

The invention relates to the technical field of grinding machine on-line detection, and discloses a grinding machine working process on-line monitoring system, which comprises a data acquisition module for acquiring vibration, acoustic emission and environment signals and generating an original multi-dimensional signal vector; the data preprocessing module is used for preprocessing the original multi-dimensional signal vector to generate a purified signal set; the working condition inversion module is used for performing real-time inversion on a technological parameter estimation value of current grinding machining; the anomaly detection module is used for calculating and quantifying an anomaly score of the anomaly degree of the current working condition based on the purification signal set; the adaptive adjustment module is used for generating a dynamic threshold value according to the process parameters and comparing an abnormal score to judge an abnormal state; and the decision fusion module fuses the abnormal state and the environment humidity and generates a decision instruction. According to the method, the material hardness of the machined workpiece is estimated in real time, and the abnormal threshold value is dynamically adjusted according to the hardness estimation value, so that normal signal fluctuation and equipment faults caused by switching of normal working conditions are effectively distinguished, and false alarms caused by process changes are avoided.

The invention discloses an intelligent detection method and device for a cotton water miscellaneous micronaire value based on multi-source information fusion, and relates to the field of cotton quality detection.The method comprises the steps that the weight, the initial air pressure difference, the cotton sample image, the resistance value, the environment temperature and the environment humidity of a to-be-detected cotton sample are obtained; according to the initial air pressure difference and the weight, the compensated air pressure difference is determined through a weight compensation model; according to the cotton sample image, utilizing an image segmentation technology to extract the impurity area percentage and the impurity grain number of the cotton sample to be detected, and determining the impurity content of the cotton sample to be detected; according to the resistance value, the environment temperature and the environment humidity, utilizing a moisture regain prediction model to determine the moisture regain of the cotton sample to be detected; and determining the micronaire value of the cotton sample to be tested by using a Stacking ensemble learning model according to the compensated air pressure difference, impurity content and moisture regain. According to the method, the moisture regain, the impurity rate and the micronaire value of the cotton can be accurately detected in a non-standard detection environment.

The invention relates to the technical field of intelligent fan control, and provides a bidirectional convection enhanced cooling fan control method and system, and the method comprises the steps: controlling a bidirectional convection enhanced cooling fan to execute various operation modes according to each group of cooling working condition feature data, and recording corresponding cooling effect data; the heat dissipation working condition characteristics comprise equipment temperature, equipment load, environment temperature and environment humidity; the heat dissipation effect data comprises the equipment temperature reduction amplitude and the fan energy consumption in the preset time; determining an optimal operation mode corresponding to each group of heat dissipation working condition characteristic data based on the heat dissipation effect data; constructing a decision tree model based on the heat dissipation working condition feature data and the corresponding optimal operation mode; determining an optimal operation mode of the equipment under the current working condition by utilizing the decision tree model; and controlling the bidirectional convection enhanced cooling fan to operate according to the optimal operation mode under the current working condition. The matching degree of the fan operation control mode and the heat dissipation requirement is improved, and the energy consumption and the heat dissipation effect are balanced.

The present invention relates to a robot spraying quality analysis method based on an improved double-β paint film distribution model. A double-β paint film distribution model is created based on a single-β paint film distribution model. The spraying speed is introduced into the double-β paint film distribution model to obtain a dynamic film thickness distribution model. The spraying height and ambient humidity are introduced. The dynamic film thickness distribution model under the introduction of the spraying height and ambient humidity is introduced. The spray width pressure, atomization pressure, and injection pressure are introduced to obtain a dynamic film thickness distribution model under multiple process parameters. The least squares method is used to fit the undetermined parameters in the final dynamic film thickness distribution model under multiple process parameters. The accuracy and generalization performance of the final dynamic film thickness distribution model under multiple process parameters meet the preset requirements and output a film thickness distribution equation. Otherwise, the fitting algorithm parameter values are adjusted and the corresponding parameters are re-derived. The dynamic film thickness distribution model under multiple process parameters is used to achieve quality analysis and prediction of the average film thickness and the standard deviation of the paint film thickness of the robot spraying process.

The invention discloses an SF6 density and micro-water comprehensive verification device and a control method thereof. The SF6 density and micro-water comprehensive verification device comprises a micro-water detection unit, a purity detection unit, a density verification unit, a gas path system, a multi-parameter synchronous acquisition module and a control module. The micro-water detection unit is connected in series with a constant flow valve; the purity detection unit comprises an infrared detection cavity, and a constant-temperature heating sheet wraps the outer side of the infrared detection cavity and is used for stabilizing the temperature in the cavity; the density checking unit is connected in series with a precise pressure regulating valve for realizing dynamic pressure regulation; the gas path system comprises a main gas path, a density calibration sub-gas path, a micro-water detection sub-gas path and a purity detection sub-gas path; the multi-parameter synchronous acquisition module is used for synchronously acquiring environment temperature, gas path pressure and environment humidity data in the device; the control module is internally provided with sequential control logic and is used for controlling the electromagnetic switching valve to sequentially conduct the density calibration sub-gas circuit, the micro-water detection sub-gas circuit and the purity detection sub-gas circuit and controlling the main gas circuit to be vacuumized and then filled with nitrogen to form positive pressure isolation when the sub-gas circuits are switched; and meanwhile, a temperature, pressure and humidity coupling compensation algorithm is executed based on data of the multi-parameter synchronous acquisition module. According to the device, micro-water, purity and density detection of the SF6 gas is realized through one device, and the detection accuracy is high.

The invention provides a tobacco equipment inspection method, electronic equipment and a program product, and relates to the technical field of equipment operation and maintenance management. The method comprises the following steps: acquiring operation parameters representing the operation state of to-be-tested tobacco equipment, wherein the operation parameters comprise operation indexes corresponding to a plurality of parts forming the to-be-tested tobacco equipment; according to a preset rated life cycle of the to-be-tested tobacco equipment and environment humidity and operation duration in the operation parameters, determining a weight matrix representing influence degrees of different operation indexes on the health state of the to-be-tested tobacco equipment; according to the operation parameters and the weight matrix, evaluating the health state of the to-be-tested tobacco equipment to obtain an evaluation result; and determining an inspection strategy of the tobacco equipment to be detected according to the evaluation result. In this way, the problems that a traditional tobacco equipment operation and maintenance management mode is too high in labor cost, and human subjective equipment health state assessment has no quantitative index, so that the cost is high, and the assessment effect is unstable are solved.

The invention discloses a wind turbine generator voiceprint self-adaptive detection method, system and device and a storage medium, and belongs to the technical field of wind power, and the method comprises the steps: collecting a voiceprint signal, raindrop diameter, environment humidity, environment temperature and atmospheric pressure of a wind turbine generator in real time through a sensor array; temperature and humidity coupling correction parameters are calculated based on the environment humidity, and real-time air density is obtained through correction according to an air density correction formula by means of the environment humidity, the environment temperature and the atmospheric pressure; constructing a rain intensity noise spectrum mapping model based on the raindrop diameter and the real-time air density in combination with a raindrop vertical fragmentation merging effect compensation algorithm; performing rain noise suppression on the voiceprint signal of the wind turbine generator by adopting a depth spectrum subtraction algorithm in combination with the rain intensity noise spectrum mapping model and the dynamic suppression factor to obtain a clean voiceprint signal; and matching the clean voiceprint signal with a preset wind turbine generator fault voiceprint feature library to complete wind turbine generator voiceprint adaptive detection.

The invention relates to the technical field of unmanned aerial vehicle flight control, in particular to a control method of an inspection unmanned aerial vehicle, which comprises the following steps of: in response to a preset inspection instruction, obtaining a current target area wind speed, terrain information and a plurality of humidity values fed back by a plurality of humidity sensors arranged at different heights; flight parameters are constructed based on the wind speed and terrain information of the target area, heat distribution cloud charts at different heights are generated during the period, and the drip irrigation amount in the target area is calculated based on the heat distribution cloud charts. According to the control method of the inspection unmanned aerial vehicle, the flight path can be dynamically optimized through a wind speed self-adaptive flight height adjustment mechanism in combination with single effective width calculation of the thermal imager, and meanwhile, the ground heat distribution data of the same target area are collected at different heights in later data processing, so that the control precision of the inspection unmanned aerial vehicle is improved. And meanwhile, in combination with the environment humidity corresponding to different heights, the interference of the flight height and the environment humidity on the thermal imaging data is reduced, and the environment data acquisition precision is remarkably improved.

The invention discloses a metering equipment remote calibration method and device, a medium and equipment. The method comprises the following steps: calculating a loss index according to current characteristics of an extracted current signal in a monitoring period, and determining a phase offset of each harmonic based on the loss index; constructing an environment gain coefficient according to the environment temperature and the environment humidity in the environment management period; constructing a current correction coefficient according to the fundamental wave amplitude of the current signal in the monitoring period and the environment gain coefficient; and correcting each harmonic amplitude in the next monitoring period according to the current correction coefficient, and correcting each harmonic phase in the next monitoring period according to the phase offset of each harmonic to obtain a calibration current in the next monitoring period.