Product
Patsnap Eureka
For R&D, Patsnap Eureka makes reading and utilizing patents & technical documents easy.
Patsnap Eureka AIR
Designed for self-driven R&D workflows. Generate viable solutions, solve complex R&D challenges, empower your innovation with AI.
Patsnap Eureka Materials
Designed for material experts only. Revolutionize your material R&D, from search, analyze, to developing new materials.
Feature
TechResearch
Generate reliable direction feasibility study reports for your R&D in just a few steps.
TechSeek
Discover and master advanced knowledge NOW. Basics, ideas, possibilities, all at once.
TechMind
As an expert in R&D Theories, TechMind can generates customized viable solutions instantly.
TechRisk
Analyze your overall solution with one click, know your potential R&D risks in advance.
TechMonitor
Get weekly tech updates, stay abreast of the latest tech innovations and key insights.
Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
44results about How to "Increased ability to process dynamic information" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
DRNN neural network-based eggplant greenhouse temperature intelligent detection device
ActiveCN110109193AIncrease flexibilityHigh precisionWeather condition predictionIndication of weather conditions using multiple variablesGreenhouseAgricultural engineering
The invention discloses a DRNN neural network-based eggplant greenhouse temperature intelligent detection device. The detection device is characterized in that the detection device is composed of a CAN bus-based eggplant greenhouse environment parameter acquisition platform and an eggplant greenhouse temperature intelligent detection system. An existing eggplant greenhouse monitoring system failsto detect the temperature of the greenhouse environment of eggplants according to characteristics such as the non-linearity and large lag of the temperature change of the environment of an eggplant greenhouse and complex temperature change due to the large area of the eggplant greenhouse, and as a result, the adjustment and control of the temperature of the environment of the eggplant greenhouse is greatly affected, while, with the DRNN neural network-based eggplant greenhouse temperature intelligent detection device adopted, the above problem can be solved.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
Intelligent granary environment safety monitoring system based on field bus
ActiveCN110580021AOvercome the inaccuracy and low reliability of the granary environmental monitoring systemImprove accuracy and robustnessTotal factory controlProgramme total factory controlEngineeringSafety monitoring
The invention discloses an intelligent granary environment safety monitoring system based on a field bus. The system is composed of a granary environment parameter collection platform based on a CAN field bus, and a granary environment safety evaluation subsystem. The system realizes the intelligent detection of granary environment parameters and the intelligent evaluation of granary environment safety. Many problems still existing in the granary environment caused by the unreasonably designed and poor traditional granary environment multi-parameter detection equipment, the incomplete detection system and the like are solved. Based on the nonlinearity and large lag of granary environment parameter changes and the large area and complex structure of the granary environment, the defects of inaccuracy, low reliability and the like of a granary environment monitoring system are overcome, accurate detection and reliable classification of granary environment parameters are realized, and therefore, the accuracy and robustness of granary environment parameter detection are greatly improved.
Owner:杨铿
Greenhouse environment multi-parameter intelligent monitoring system based on Internet of Things
ActiveCN110647979AImprove objectivityIncrease credibilityMeasurement devicesForecastingEnvironmental resource managementGreenhouse
The invention discloses a greenhouse environment multi-parameter intelligent monitoring system based on the Internet of Things. The system is composed of a watermelon greenhouse environment parameteracquisition platform based on a ZigBee network and a watermelon greenhouse environment microclimate factor evaluation subsystem. The system realizes intelligent detection of watermelon greenhouse environment temperature and evaluation of microclimate environment factors. The problems that an existing watermelon greenhouse environment monitoring system does not accurately detect watermelon greenhouse environment parameters and evaluate environment factors according to the characteristics of nonlinearity, large lag, complex greenhouse environment parameter changes and the like of greenhouse environment parameter changes, and therefore the accuracy of predicting and evaluating the watermelon greenhouse parameters is improved are effectively solved.
Owner:威海晶合数字矿山技术有限公司
Short-term load predicting method for Elman neural network based on improved ABC algorithm
InactiveCN108734321AFast convergenceImprove stabilityReservationsNeural architecturesOptimal weightElectric power system
The invention discloses a short-term load predicting method for an Elman neural network based on an improved ABC algorithm. The short-term load predicting method comprises the following steps: takinga series of improving measures specific to defects such as low converging speed of an artificial bee colony (ABC) algorithm and poor developing performance of a searching equation after forward transmission of an input signal of the conventional Elman neural network, backward transmission of an error signal and a delay operator of a carrying layer are fully analyzed, wherein the improving measuresinclude re-designing a searching equation, adjusting the honey searching frequency and changing the selection mechanism of an optimal solution and the like; applying an optimal weight generated by the improved ABC algorithm and a threshold value to the Elman neural network to realize short-term load prediction on a power system, and increasing the load prediction speed; and lastly, implementing aload prediction function in MATLAB, and optimizing the weight and the threshold value by adopting the improved ABC algorithm according to an experiment result, so that the maximum prediction absoluteerror is lowered remarkably.
Owner:JIANGSU UNIV
Multipoint temperature sensor intelligent monitoring system based on field bus network
ActiveCN110705757AImprove objectivityIncrease credibilityForecastingCharacter and pattern recognitionAgricultural engineeringOrchard
The invention discloses a multi-point temperature sensor intelligent monitoring system based on a field bus network, and the system consists of an apple orchard environment parameter collection platform and an apple orchard environment temperature evaluation subsystem, and achieves the intelligent detection of the apple orchard environment temperature and the evaluation of the temperature. The system effectively solves the problem that the existing apple orchard environment monitoring does not intelligently monitor and predict the temperature of the apple orchard environment according to the characteristics of nonlinearity, large lag, large area of the apple orchard, complex temperature change and the like of the apple orchard environment temperature change, so that the monitoring of the apple orchard environment temperature is greatly influenced.
Owner:杨铿
Intelligent detection system for eggplant greenhouse environment based on wavelet neural network
ActiveCN110069032AImprove efficiencyGrasp the changing trendProgramme controlComputer controlEarly warning systemHysteresis
The invention discloses an intelligent detection system for an eggplant greenhouse environment based on a wavelet neural network. The detection system comprises two parts: an eggplant greenhouse environmental parameter acquisition platform based on a wireless sensor network and an eggplant greenhouse yield intelligent early warning system. The system effectively solves the problems that the conventional eggplant greenhouse yield is affected by nonlinearity and large hysteresis of eggplant greenhouse environment temperature changes, large area of the eggplant greenhouse, complicated temperaturechange and the like, the eggplant greenhouse yield is not predicted and the eggplant greenhouse environment temperature is not accurately detected and adjusted, so that the prediction of the eggplantgreenhouse environment yield and the production management are greatly affected.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
Highway pavement usability detection system
PendingCN111461413ADealing with ambiguityDealing with dynamicsMeasurement devicesForecastingEnvironmental resource managementStructural engineering
The invention discloses a highway pavement use performance detection system. The detection system is composed of a pavement meteorological environment parameter acquisition platform based on a CAN busand a highway pavement use performance grade classification system. The pavement meteorological environment parameter acquisition platform based on the CAN bus realizes detection and adjustment of pavement meteorological environment factor parameters, and the highway pavement use performance grade classification system realizes prediction and classification of highway pavement use performance grades. The system effectively solves the problems that an existing highway pavement evaluation system does not accurately detect pavement meteorological environment parameters according to the characteristics of nonlinearity, large lag, complex meteorological environment parameter changes and the like of pavement meteorological environment parameter changes, and therefore comprehensive evaluation ofpavement use performance is greatly affected.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
Multi-point fire early warning system based on Internet of Things
ActiveCN110570616ADealing with dynamicsDealing with uncertaintyFire alarmsNeural architecturesEarly warning systemMonitoring system
The invention discloses a multipoint fire early warning system based on the Internet of Things. The system is composed of a gas station oil tank area environment parameter acquisition platform based on a ZigBee network and a gas station oil tank area environment multipoint fire early warning subsystem. The gas station oil tank area environment multi-point fire early warning subsystem is composed of parameter detection units and HRFNN fuzzy recurrent neural network fire early warning classifiers. The system effectively solves the problem that an existing gas station oil tank area environment monitoring system is incapable of accurately detecting environment parameters and raising early warning against a fire hazard according to characteristics of nonlinearity, large lag and complexity of environment parameter change of the gas station oil tank area, and thus improves the accuracy of predicting the fire hazard parameters and fire hazard of the gas station.
Owner:天津政林科技有限公司
Intelligent tomato greenhouse temperature early-warning system based on minimum vector machine
ActiveCN110119169AImprove forecast accuracyStrong targetingTemperatue controlEarly warning systemControl system
The invention discloses an intelligent tomato greenhouse temperature early-warning system based on a minimum vector machine. The early-warning system is characterized by being composed of a tomato greenhouse environmental parameter acquisition and intelligent prediction platform based on a CAN field bus and an intelligent tomato greenhouse temperature early-warning system. By means of the intelligent tomato greenhouse temperature early-warning system based on the minimum vector machine in the invention, many problems still in the environment in a closed tomato greenhouse due to the reasons ofunreasonable design, backward equipment, incomplete control system and the like in the traditional tomato greenhouse environment can be effectively solved; and furthermore, the control problem that the tomato greenhouse environment temperature is greatly influenced due to the fact that the existing tomato greenhouse environment monitoring system does not monitor and predict the temperature in thetomato greenhouse environment according to the characteristics of nonlinearity and large lag of tomato greenhouse environmental temperature change, large tomato greenhouse area, complex temperature change and the like can be effectively solved.
Owner:淮安润联信息科技有限公司
Intelligent orchard yield prediction system based on Internet of Things
ActiveCN110766132AImprove objectivityIncrease credibilityMeasurement devicesForecastingAgricultural engineeringPrediction system
The invention discloses an intelligent orchard yield prediction system based on Internet of Things. The intelligent orchard yield prediction system consists of an apple orchard environment parameter collection platform and an apple orchard environment yield prediction subsystem, and achieves the detection of apple orchard environment microclimate parameters and the prediction of the yield. The apple orchard environment monitoring system effectively solves the problems that an existing apple orchard environment monitoring system does not accurately detect the apple orchard environment temperature and predict the yield according to the characteristics of nonlinearity, large lag, complex change and the like of the apple orchard environment temperature change, so that the accuracy and robustness of predicting the apple orchard environment temperature and yield are improved.
Owner:四川超易宏科技有限公司
Intelligent building settlement detection system
ActiveCN111461187ADealing with ambiguityDealing with dynamicsCharacter and pattern recognitionHeight/levelling measurementEarly warning systemWireless sensor networking
The invention discloses an intelligent building settlement detection system which is composed of a building settlement parameter acquisition platform based on a wireless sensor network and a buildingsettlement intelligent early warning system, and the building settlement parameter acquisition platform based on the wireless sensor network realizes detection and management of building settlement parameters. The system effectively solves the problems that existing building settlement has no influence on the settlement of the whole building according to nonlinearity, large lag, complex settlementchange and the like of settlement amount change of each detection point of the building; accurate detection, prediction and early warning are not carried out on building settlement, so that early warning and management of the building settlement amount are greatly influenced.
Owner:中建旷博(福建)有限公司 +2
Intelligent monitoring system for water quality of fishpond
ActiveCN110045771AGrasp the changing trendGood short-term forecastNeural architecturesSimultaneous control of multiple variablesPrediction systemWater quality
The invention discloses an intelligent monitoring system for water quality of a fishpond. The intelligent monitoring system is characterized by being composed of two parts, namely a fishpond water quality parameter detection platform based on a wireless sensor network as well as a fishpond yield intelligent prediction system. The intelligent monitoring system disclosed by the invention effectivelysolves the problems that fishpond water quality parameters are monitored only by virtue of equipment in the prior art, only the fishpond water quality parameters are acquired and yield of the fishpond can not be effectively predicted according to influence of water quality of the fishpond on the yield of the fishpond.
Owner:广东旋达检测技术服务有限公司
Intelligent building energy consumption detection system
ActiveCN111426344AReduce the learned parametersHandle ambiguity effectivelyMeasurement devicesBiological neural network modelsEnvironmental geologyReal-time computing
The invention discloses an intelligent building energy consumption detection system. The invention is characterized in that the system is composed of a building energy consumption parameter acquisition platform based on a wireless sensor network and a building energy consumption grade classification system. The building energy consumption parameter acquisition platform based on the wireless sensornetwork realizes detection and monitoring of parameters influencing the building environment. The building energy consumption grade classification system is composed of a temperature detection module, an illuminance detection module, a humidity detection module, an energy consumption prediction module and an interval number kohonen neural network building energy consumption state classifier. Theexisting building energy consumption is not intelligently detected according to the characteristics of nonlinearity, large lag, complex influence on building energy consumption change and the like ofbuilding environment factor changes, so that the building detection accuracy is greatly influenced; said problems can be solved by using the system of the invention.
Owner:宇旺建工集团有限公司 +2
Aquaculture pond dissolved oxygen detection device
ActiveCN110119165AIncrease flexibilityHigh precisionControlling ratio of multiple fluid flowsNeural architecturesEarly warning systemWater quality
The invention discloses an aquaculture pond dissolved oxygen detection device. The device is characterized in that a detection system is composed of two parts including an aquaculture pond environmentwater quality parameter acquisition platform based on a wireless sensor network, and a pond dissolved oxygen intelligent early warning system. The device provided by the invention effectively solvesa problem of great influence on aquaculture pond dissolved oxygen detection caused by lack of detecting the dissolved oxygen of the existing aquaculture pond according to the characteristics, such asnonlinearity and great lag of change of pound dissolved oxygen and large area and complex change of dissolved oxygen of the aquaculture pond.
Owner:遂溪新海茂水产种业科技有限公司
Dust concentration intelligent detection system
ActiveCN111474094AHandle ambiguity effectivelyDealing with ambiguityCharacter and pattern recognitionNeural architecturesEnvironmental resource managementEngineering
The invention discloses a dust concentration intelligent detection system which is composed of a dust concentration environmental parameter acquisition platform based on a CAN bus and a dust concentration intelligent prediction module. The dust concentration environmental parameter acquisition platform based on the CAN bus realizes detection and adjustment of dust concentration environmental factor parameters. The dust concentration intelligent prediction module is composed of a dust concentration interval number neural network model, an interval number prediction model and an interval numberCMAC cerebellar neural network dust concentration fusion model. The system effectively solves the problems that the existing industrial and agricultural production environment does not have the characteristics of nonlinearity, large lag, complex dynamic change and the like according to the change of the dust concentration, and the dust concentration cannot be accurately detected and predicted, sothat the effective management of the dust concentration of the industrial and agricultural production environment is greatly influenced.
Owner:黑龙江期诺安全技术服务有限公司
Food safety detection system
ActiveCN112857445AEnhance memoryImprove tracking accuracyMeasurement devicesBiological neural network modelsEnvironmental resource managementFood safety
The invention discloses a food safety detection system, which is composed of a food environment parameter acquisition platform and a food freshness big data processing subsystem.According to the influence of the storage, transportation and fresh-keeping environment factor parameters of the food and the fresh-keeping time on the freshness of the food, environmental factor parameters and time of the food in different links are collected to identify the freshness of the food, and beneficial reference is provided for environmental factor adjustment and corresponding time determination of food storage, transportation and fresh keeping; the food safety detection system effectively solves the problem that the food quality is greatly influenced due to the nonlinearity and large lag of food processing and transportation environment temperature parameter change in different circulation stages in the prior art.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
Intelligent oil gas concentration monitoring system based on field bus network
ActiveCN110716012AHigh precisionImprove robustnessCharacter and pattern recognitionBus networksMonitoring systemProcess engineering
The invention discloses an intelligent oil gas concentration monitoring system based on a field bus network. The system is composed of a gas station oil tank area environment parameter acquisition platform based on a CAN field bus network and a gas station oil tank area environment multi-point oil gas concentration leakage classification subsystem. The system realizes intelligent detection of theoil gas leakage concentration of the gas station oil tank area environment and classification of the oil gas leakage concentration level. The system not only effectively solves many problems existingin the oil gas concentration detection of the gas station oil tank area environment caused by unreasonable design of the oil gas concentration detection equipment, backward equipment, incomplete detection system and the like of the traditional gas station oil tank area environment oil gas concentration detection device, but also effectively solves the problem that the existing gas station oil tankarea environment monitoring system detects and classifies the concentration of the gas station oil tank area environment, thereby greatly improving the accuracy and robustness of the oil gas concentration detection of the gas station oil tank area environment.
Owner:青岛澳科仪器有限责任公司
Big data detection system for livestock and poultry house environment
PendingCN112862256AReduce the amount of network calculationsFast trainingResourcesNeural architecturesAnimal scienceAgricultural science
The invention discloses a livestock and poultry house environment big data detection system, which comprises a livestock and poultry house environment parameter acquisition and control platform and a livestock and poultry house environment big data processing subsystem, and is used for detecting and adjusting livestock and poultry environment parameters and predicting the yield. The system effectively solves the problems that an existing livestock and poultry breeding environment has no influence on the yield of the livestock and poultry breeding environment according to nonlinearity and large lag of livestock and poultry breeding environment parameter changes, the livestock and poultry breeding environment is large and complex in area, the yield of the livestock and poultry breeding environment is not predicted, and livestock and poultry breeding environment parameters are not accurately detected and adjusted; therefore, yield prediction and production management of the livestock and poultry breeding environment are greatly influenced.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
Intelligent building safety detection system
ActiveCN111473768AResolve detectionWhen resolved, impreciseHeight/levelling measurementNeural architecturesConstruction engineeringComputer science
The invention discloses an intelligent building safety detection system. The intelligent building safety detection system is characterized by being composed of a building safety parameter acquisitionplatform based on a CAN field bus and a building safety measurement system. Many problems of untimely, inaccurate and unreliable building safety detection and the like caused by unreasonable design, backward equipment, imperfect control system and the like of the traditional building safety detection system are effectively solved, and moreover, the problems that an existing building safety detection system does not have the characteristics of nonlinearity, large lag, complex building deformation change and the like of building settlement, heeling and translation change, settlement, heeling angle and translation influencing building safety are monitored and predicted, and thus regulation and control of building deformation are greatly influenced are effectively solved.
Owner:北海市祥泰建设工程质量检测有限公司
Livestock and poultry health sign big data Internet of Things detection system
ActiveCN114418183AReduce non-stationarityImprove forecast accuracyForecastingAvicultureAnimal scienceZoology
The invention discloses a livestock and poultry health sign big data Internet of Things detection system which is characterized in that the detection system comprises a parameter acquisition and control platform and a livestock and poultry body temperature big data intelligent prediction subsystem, and accurate detection and prediction of the measured livestock and poultry body temperature are achieved; the system effectively solves the problems that an existing livestock and poultry sign parameter detection system does not accurately detect and predict livestock and poultry sign parameters according to the influence on the livestock and poultry sign parameters due to the fact that the livestock and poultry environment area is large, and the livestock and poultry environment parameters and complex changes such as nonlinearity and large lag of livestock and poultry sign parameter changes are complex; the livestock and poultry health and the livestock and poultry management are greatly influenced.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
An intelligent detection system for eggplant greenhouse environment based on wavelet neural network
ActiveCN110069032BGrasp the changing trendGood short-term forecastProgramme controlComputer controlEarly warning systemGreenhouse
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
An intelligent temperature detection device for eggplant greenhouse based on drnn neural network
ActiveCN110109193BIncrease flexibilityHigh precisionWeather condition predictionIndication of weather conditions using multiple variablesGreenhouseSimulation
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
An intelligent detection system for building energy consumption
ActiveCN111426344BHandle ambiguity effectivelyDealing with ambiguityMeasurement devicesBiological neural network modelsNerve networkBuilding energy
Owner:宇旺建工集团有限公司 +2
A multi-point fire early warning system based on the Internet of Things
ActiveCN110570616BImprove objectivityIncrease credibilityFire alarmsNeural architecturesSimulationThe Internet
The invention discloses a multi-point fire early warning system based on the Internet of Things. The system is composed of a ZigBee network-based gas station oil tank area environmental parameter acquisition platform and a gas station oil tank area environment multi-point fire early warning subsystem; The environmental multi-point fire early warning subsystem of the oil tank area of the gas station is composed of multiple parameter detection units and multiple HRFNN fuzzy recursive neural network fire early warning classifiers; The environmental parameters of the oil tank area of the gas station are characterized by nonlinearity, large lag, and complex changes in the environmental parameters of the oil tank area of the gas station. The environmental parameters of the oil tank area of the gas station are accurately detected and the fire warning is carried out, so as to improve the prediction of the fire parameters of the gas station and Fire accuracy issues.
Owner:天津政林科技有限公司
Shading control system
PendingCN112839142AImprove generalization abilityStrong non-linear mapping abilityNeural architecturesNeural learning methodsControl systemSimulation
The invention relates to the field of automatic production, and discloses a shading control system, which is characterized in that an NARX neural network model 1, an NARX neural network model 2 and an NARX neural network model 3 are utilized to predict the displacement error, the control quantity and the actual displacement value of a lifting frame respectively, and a dynamic recursive network of the models is established by introducing a delay module and outputting feedback through an NARX neural network; input and output vector delay feedback is introduced into network training, a new input vector is formed, good non-linear mapping ability is achieved, input data including original lifting frame displacement errors, control quantity and actual displacement values and corresponding output data after training are input, the generalization ability of the network is improved. Compared with a traditional static neural network, the single-chip microcomputer controller has better prediction precision and adaptive capacity in the prediction of the corresponding parameters of the lifting frame, and the precision, robustness and reliability of the control system are improved through the single-chip microcomputer controller.
Owner:HUAIYIN INSTITUTE OF TECHNOLOGY
Foundation pit big data detection system
ActiveCN112911532AAdded dynamic approximation capabilitiesEnhanced dynamic approximation capabilitiesElectric signal transmission systemsParticular environment based servicesArchitectural engineeringStructural engineering
The invention discloses a foundation pit big data detection system which is composed of a foundation pit parameter acquisition platform and a foundation pit parameter big data processing subsystem and is used for realizing foundation pit parameter detection and foundation pit safety prediction and improving the safety and reliability management level of constructional engineering. The method effectively solves the problems that an existing foundation pit has no influence on foundation pit safety according to nonlinearity and large lag of foundation pit parameter change, large foundation pit area, complex parameter change and the like, and the foundation pit parameters are not predicted and the foundation pit safety is not pre-warned, so that the safety management of the foundation pit is greatly influenced.
Owner:刘鹏
A fish pond water quality intelligent monitoring system
ActiveCN110045771BGrasp the changing trendGood short-term forecastNeural architecturesSimultaneous control of multiple variablesWireless sensor networkingWater quality
The invention discloses a fish pond water quality intelligent monitoring system, which is characterized in that: the fish pond water quality parameter detection platform based on a wireless sensor network and a fish pond output intelligent prediction system are composed of two parts; the invention effectively solves the problem of the prior art Only rely on equipment to monitor fish pond water quality parameters, only obtain fish pond water quality parameters, but there is no problem of effectively predicting fish pond production according to the impact of fish pond water quality on fish pond production.
Owner:广东旋达检测技术服务有限公司
A foundation pit big data detection system
ActiveCN112911532BAdded dynamic approximation capabilitiesEnhanced dynamic approximation capabilitiesElectric signal transmission systemsTelemetry/telecontrol selection arrangementsArchitectural engineeringDependability
Owner:刘鹏
A multi-parameter intelligent monitoring system for greenhouse environment based on Internet of Things
ActiveCN110647979BImprove objectivityIncrease credibilityMeasurement devicesForecastingEnvironmental resource managementGreenhouse
Owner:威海晶合数字矿山技术有限公司
An Intelligent Monitoring System of Multipoint Temperature Sensors Based on Fieldbus Network
ActiveCN110705757BImprove objectivityIncrease credibilityForecastingCharacter and pattern recognitionAgricultural engineeringArtificial intelligence
The invention discloses a multi-point temperature sensor intelligent monitoring system based on a field bus network. The system is composed of an apple orchard environmental parameter acquisition platform and an apple orchard environmental temperature evaluation subsystem. The system realizes intelligent detection and monitoring of the apple orchard environmental temperature. Evaluate the temperature; the present invention effectively solves the problem that the existing apple orchard environmental monitoring is not based on the characteristics of non-linearity, large lag, and large apple orchard area and complex temperature changes of the apple orchard environmental temperature change, and intelligently monitors the temperature of the apple orchard environment The monitoring problem with forecasting, which greatly affects the ambient temperature of apple orchards.
Owner:杨铿
Who we serve
- R&D Engineer
- R&D Manager
- IP Professional
Why Patsnap Eureka
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com