3432 results about "Moisture sensor" patented technology

The invention relates to the technical field of cables, and particularly discloses a cable terminal simulation and state evaluation method and system in a humid environment, multiple types of sensor arrays are deployed, distributed temperature and humidity sensors are installed at key parts of a cable terminal, and aiming at the technical problems of one-sided single-dimensional monitoring, simulation model solidification and insufficient static weight adaptation, the cable terminal simulation and state evaluation method and system are provided. Cooperative acquisition of multiple parameters such as temperature and humidity, partial discharge and corrosion current is achieved through deployment of multiple types of sensor arrays, the nonlinear interaction relation between humidity permeation and electric field distortion is dynamically reflected in combination with a multi-physics field coupling simulation model, the one-sidedness of single parameter monitoring is solved, and the risk misjudgment rate is reduced by 40% or above; a dynamic water film thickness model is adopted to update interface parameters of the sealing ring in real time, a simulation result is updated per hour in combination with a finite element-boundary element hybrid algorithm, an electric field distortion simulation error is controlled within 12%, and the simulation precision is improved by more than one time compared with a fixed boundary condition.

The invention discloses a temperature and humidity adaptive control system and method for drying flower traditional Chinese medicinal materials, and the system comprises a humidity gradient monitoring module which is used for deploying a 12-channel capacitive humidity sensor spiral array and a laser radar, generating a three-dimensional humidity field thermodynamic diagram in combination with a Kriging interpolation method, calculating a humidity gradient change rate in real time, and carrying out the early warning of local abnormality; the heat-humidity ratio regulation and control module is used for integrating humidity gradient monitoring data and a real-time result of the evaporation latent heat calculation module based on a fuzzy PID algorithm, dynamically adjusting the heating power and the rotating speed of a dehumidification fan, and meanwhile, integrating a PVDF piezoelectric film sensor to monitor petal stress; the evaporation latent heat calculation module is used for predicting a future evaporation rate by combining an LSTM neural network based on an edge calculation unit and providing key parameters for the energy supply matching module; the energy supply matching module is used for outputting a combined control instruction of the heating power and the air door opening degree; and the air volume balance optimization module is used for dynamically adjusting air volume distribution according to the humidity gradient monitoring data.

The invention relates to a lithium battery charging system, and relates to the technical field of battery charging, the lithium battery charging system comprises a charging module, a detection module and a data processing module, and also comprises a battery health assessment module used for collecting battery cycle index, internal resistance and capacity attenuation parameters, and constructing a battery health state assessment model; the power grid interaction module is used for acquiring real-time electricity price data and a power grid load state; the environment sensing module comprises an environment temperature and humidity sensor and is used for collecting environment temperature and humidity parameters; and the AI prediction module is constructed based on a deep learning network and is used for predicting a battery state change trend. According to the invention, the battery health evaluation module is arranged to collect parameters such as cycle index, internal resistance and capacity fading rate to construct the SOH evaluation model, the problem of single dimension of battery health state evaluation in the prior art is solved, the aging degree of the battery can be accurately identified, and the risk of overcharge and undercharge of the aged battery due to improper power adaptation is avoided.

The invention relates to the technical field of drying equipment, in particular to a low-consumption constant-temperature dehumidification device and a control method, and achieves an efficient and energy-saving constant-temperature dehumidification effect. The heat recovery module recovers heat in the condensation and regeneration process, the collaborative optimization module coordinates operation of all the modules, the energy utilization efficiency is remarkably improved, and energy consumption is reduced. The control system module dynamically adjusts the state of each module according to the real-time data of the temperature and humidity sensor, ensures the stability of the environment temperature and humidity, and further improves the control precision by adopting a dynamic decoupling control strategy. The regeneration module utilizes recovered heat energy to efficiently regenerate adsorbents and cooperates with novel composite adsorbents, the service life of the adsorbents is prolonged, and the dehumidification performance is improved. The air circulation module forms uniform airflow, and local temperature and humidity unevenness is avoided. A user can set parameters through the interaction unit, the system is controlled to automatically adjust the operation strategy, intelligent operation is achieved, and the system performance is optimized.

A spoke winding type high-sensitivity humidity sensor, the humidity sensor comprising a humidity-sensitive winding material and a spoke winding skeleton disc; a plurality of "T" shaped winding skeletons are uniformly distributed in a radial manner on the circumference of the spoke winding skeleton disc, and the humidity-sensitive winding material is wound on the plurality of "T" shaped winding skeletons; the space between every two adjacent "T" shaped winding skeletons simultaneously constitutes a winding limiting groove and an air flow channel, and after the humidity-sensitive winding material is wound, there is still space, i.e. the air flow channel, for air circulation, which is used to shorten the humidity absorption response time and the humidity desorption response time of the humidity-sensitive winding material.

The invention discloses a panel vertical seam water stop structure repair effect evaluation method, which comprises the following steps of: firstly, synchronously obtaining surface crack and internal defect data through cooperative detection of infrared thermal imaging and ultrasonic flaw detection; and carrying out space alignment on point cloud data generated by three-dimensional laser scanning and an ultrasonic detection result, and establishing a BIM model containing a crack three-dimensional form. A practical engineering environment is simulated in a laboratory to carry out material accelerated aging and test key indexes such as an elastic recovery rate, a base surface state is evaluated through a temperature and humidity sensor array in a construction stage, a six-axis grouting robot is adopted to execute accurate filling, a curing process is monitored by a synchronous pre-embedded optical fiber sensor, and after aging is simulated by combining a hydraulic test with climate, a construction period is shortened. A distributed optical fiber network is used for continuously collecting deformation data, a comprehensive evaluation model is constructed based on mechanics, durability and sealing indexes, and finally material selection and process parameters are optimized through machine learning.

The invention belongs to the technical field of power cable fault positioning. The invention discloses a TDR power cable global fault positioning method based on multi-frequency cooperative excitation and environment adaptive correction. The method comprises the following steps: 1) multi-frequency pulse cooperative injection and signal acquisition; 2) environment parameter dynamic sensing and speed correction: embedding a miniature temperature and humidity sensor and a cable insulation state monitoring unit along the cable at an interval of 500m, and collecting laying environment temperature, humidity and insulation material dielectric constant change data in real time; constructing a dynamic speed correction formula based on a preset environment-dielectric constant correlation model; according to the method, the complex fault positioning precision is improved, the environment and scene adaptability is enhanced, and the troubleshooting efficiency is optimized.

The invention discloses an intelligent pressure self-adaptive anti-bedsore nursing mattress system which comprises a flexible pressure sensing layer configured on the surface of a mattress and used for monitoring pressure distribution data of all parts of the body of a lying person in real time; the multi-air-chamber dynamic adjusting structure comprises a plurality of independent air chambers capable of being inflated and deflated, and the air chambers are distributed in the mattress and used for adjusting the supporting pressure of the corresponding areas according to instructions; the edge intelligent control module analyzes data based on a preset artificial intelligence algorithm to predict a bedsore occurrence risk area, and generates a control instruction according to a prediction result to drive the multi-air-chamber dynamic adjustment structure to adjust the pressure of each air chamber; and the environment regulation and control system comprises a temperature and humidity sensor and a microenvironment regulation device. Through real-time body pressure monitoring, AI risk prediction, dynamic pressure regulation and temperature and humidity coordinated regulation and control, local pressure can be remarkably reduced, a high-risk area can be early warned in advance, and a local microenvironment is improved, so that bedsores are effectively prevented, and nursing dependence is reduced.

The invention relates to the technical field of intelligent gateways, and discloses a multi-mode industrial Internet of Things intelligent gateway based on edge computing and an implementation method thereof, and the method comprises the steps: obtaining sensor data streams of a door magnetic sensor, a human body sensor, a temperature and humidity sensor and a smoke detector in an intelligent region; constructing a space-time fusion data matrix based on the sensor data stream; inputting the space-time fusion data matrix into an edge layer quantization neural network, a fog layer recurrent neural network and a cloud layer large model for distributed reasoning to obtain a reasoning result set; and performing priority queue scheduling and zero-copy transmission on emergency events, important events and conventional events in combination with the reasoning result set to generate a control instruction sequence, so that parallel operation of data acquisition and processing is realized, and the intelligent level, the response performance and the operation reliability of an intelligent regional Internet of Things system are improved.

The invention discloses an indoor gas leakage monitoring and intelligent joint control system, and belongs to the technical field of intelligent safety monitoring systems. Comprising a sensing layer, a network layer, a control layer and a platform layer, the sensing layer comprises a multi-sensor array and an edge computing node, the multi-sensor array is combined with a catalytic combustion sensor, an infrared sensor, a semiconductor sensor and a temperature and humidity sensor, and sensor data are fused through a weighting algorithm so as to reduce the false alarm rate; a temperature and humidity sensor dynamically adjusts a detection threshold value to adapt to different climate conditions, and an edge computing node is deployed with a lightweight machine learning model. Through multi-sensor data fusion and a weighting algorithm, the false alarm rate is reduced to be smaller than 0.1% per year, environment self-adaptive calibration and AI auxiliary decision making are performed, interference of alcohol, perfume and the like is effectively eliminated, different climate conditions are adapted, leakage judgment is completed at an equipment end through edge calculation, cloud delay is avoided, a multi-stage emergency strategy is provided, and intelligent safe ecology driven by the Internet of Things is constructed.

The invention discloses a cable operation environment optimization method based on cable trench collection information, and relates to the technical field of intelligent operation and maintenance of a power system, and the method comprises the steps: collecting an original parameter data set in a cable trench; a pulse current signal is collected at a cable grounding wire connection point, and a standard pulse discharge capacity sequence is generated through band-pass filtering and amplitude integral conversion; based on the original relative humidity measurement value and the environment temperature value, calculating a compensated relative humidity value through a multi-scale heat conduction-diffusion coupling equation; calculating a cable insulation risk index through a quantum annealing algorithm by using the compensated relative humidity value and the standard pulse discharge capacity sequence; the dynamic measurement deviation of the temperature and humidity sensor is subjected to double compensation of thermal radiation and molecular adsorption by constructing a multi-scale heat conduction-diffusion coupling equation, so that the reliability of environmental state sensing is greatly improved, and the operation safety, stability and intelligent operation and maintenance level of a power cable system are effectively enhanced.

The invention relates to the technical field of concrete curing, in particular to a concrete curing environment control system with intelligent temperature control and humidity adjustment functions. Comprising a data acquisition and storage unit; the regulation and control decision-making unit is used for calculating a deviation value between the current environment and a target maintenance condition through an improved sectional type PID (Proportion Integration Differentiation) regulation algorithm; a temperature and humidity execution unit; and a man-machine interaction unit. According to the invention, through the distributed air temperature and humidity sensor array and the embedded temperature sensor in the concrete, the air temperature and humidity of the curing space and the internal temperature data of the concrete are collected, and the initial setting stage, the final setting stage and the hardening stage are judged based on the internal temperature change rate and the internal surface temperature difference; the PID parameter adjustment interval corresponding to the concrete mark is called in combination with the stage, smooth parameter switching is achieved, in the concrete curing scene, the heat release rate and strength development requirements of different hydration stages can be accurately met, and the situation that a regulation and control strategy is disjointed with the actual concrete curing requirement is avoided.

The invention discloses a temperature monitoring control method and system for a communication machine room or a data center machine room, and relates to the field of machine room temperature and humidity monitoring, and the method comprises the steps: S1, selecting a proper temperature and humidity sensor; s2, drawing three-dimensional models of the communication machine room and the data center machine room; s3, determining layout point locations of the temperature and humidity sensors; s4, formulating temperature and humidity control measures; s5, continuous temperature and humidity data acquisition is carried out; s6, collecting and processing the data; s7, setting a temperature threshold value and an early warning mechanism; and S8, carrying out an analog simulation experiment. According to the method, a three-dimensional model analysis process specially aiming at the machine room is arranged, monitoring sensors corresponding to key positions can be specifically configured according to the actual three-dimensional model condition, some existing heat dissipation structures can be optimized according to the three-dimensional model, and in the actual application process, the heat dissipation efficiency can be improved. And a better temperature monitoring effect and a better temperature control effect are achieved.

Disclosed in the present invention are a lifting synchronous control system and control method for a high-rise steel structure corridor. The control system comprises a data acquisition module comprising a sensor network, an execution module, and a data-processing and decision-making module comprising a central control unit. The execution module comprises a lifting drive provided with a receiver. The sensor network comprises a coordinate sensor, an inclination angle sensor, a temperature and humidity sensor, and a wind speed sensor. The sensor network continuously acquires coordinate information, inclination angle information, and environment information and sends same to the central control unit. By means of a machine learning or deep learning algorithm, the central control unit performs self-optimization and regulates the lifting drive in real time on the basis of the continuously collected environment data and structural data. In the present invention, by combining dynamic regulation of an intelligent algorithm with the application of an Internet of Things technology, all components in the control system are modularly designed, thereby obviously mitigating the defects of conventional synchronous control systems, and significantly improving the stability of the control system and the capability of resisting the influence of external factors.

The invention discloses a switchable graded sampling pre-construction control method for dust and a detection device. The method comprises the following steps: synchronously acquiring data through multiple types of sensors, constructing a condensation risk prediction model, calculating a condensation risk index RI and dividing risk grades; based on the risk level, dynamically adjusting the target power of the heating wire, the blowback period of the air pump and the airflow speed, and cooperatively triggering an electrode cleaning and trapping filter screen switching program; after cleaning is completed, follow-up control parameters are dynamically adjusted; and closed-loop control is formed. According to the method, the temperature and humidity sensor is arranged in the external environment to obtain background parameters, the airflow velocity sensor is used for sensing the working condition change of the air pump, and a dynamic condensation risk prediction model is established, so that excessive heating is avoided fundamentally, and evaporation loss of semi-volatile substances is prevented; therefore, the accuracy of a dust concentration detection result is remarkably improved in an extreme humidity environment.

The invention discloses a remote monitoring system based on bird species identification and population number estimation, which comprises a front-end monitoring subsystem, a data transmission subsystem, a data analysis and processing subsystem and a user interaction subsystem, and is characterized in that the front-end monitoring subsystem is composed of a plurality of monitoring nodes; each monitoring node is provided with a high-definition camera, a sound sensor, a temperature and humidity sensor and an illumination sensor, the devices work cooperatively, and data of birds and the environment where the birds are located are collected in an omnibearing mode. According to the remote monitoring system based on bird type identification and population number estimation, manual intervention is greatly reduced through an automatic monitoring and analysis process, the monitoring efficiency is improved, the accuracy of bird type identification and population number estimation is remarkably improved based on an algorithm of deep learning and multi-modal data fusion, and the accuracy of bird type identification and population number estimation is improved. And real-time transmission and processing of data are realized through a remote monitoring system.

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 utility model discloses a breathing machine humidifying tank and a breathing machine system, and relates to the field of medical instruments. The breathing machine humidifying tank comprises a tank body, a guide sleeve, a telescopic water bag and an operating rod. The tank main body is provided with a highest water line; the telescopic water bag is located in the tank body and horizontally arranged, the top of the telescopic water bag is higher than the highest water line, the telescopic water bag comprises a telescopic sleeve and a hard end plate, one end of the telescopic sleeve is connected with the tank body, the hard end plate is connected with the other end of the telescopic sleeve, and a water suction and drainage hole is formed in the hard end plate and lower than the highest water line. The guide sleeve and the telescopic water bag are arranged in the same direction, and the guide sleeve is connected with the tank body and corresponds to the telescopic water bag in position. And the operating rod penetrates through the guide sleeve, is matched with the guide sleeve and is sealed with the guide sleeve, and the operating rod is connected with the hard end plate. The breathing machine humidifying tank is installed on the breathing machine main machine, and a temperature and humidity sensor and a push-pull structure are arranged in a matched mode to obtain the breathing machine system. According to the utility model, the temperature and humidity of the humidified air at the patient end can be optimal.

The invention discloses an anti-condensation and humidity control system of a low-voltage switch cabinet, and relates to the technical field of environment regulation and control of low-voltage electrical equipment, and the system comprises a data collection module which collects data through a multi-region temperature and humidity sensor; the humidity prediction module is used for predicting 30-minute humidity by using a long-short-term memory neural network in combination with cabinet body parameters and historical data, and pre-evaluating the condensation risk; the anti-condensation execution module is used for starting a PTC heating device, an axial flow ventilation device or a semiconductor dehumidification device according to the prediction result; the system linkage module interacts with an electric power monitoring system and adjusts parameters of the execution device when the load is high; the parameter self-learning module is used for optimizing the prediction model and recording optimal threshold values of the device in different environments; and the safety protection module is used for monitoring the heating temperature and the condensate water level and switching an emergency strategy when a fault occurs. The system has the advantages of comprehensive monitoring, accurate prediction, cooperative operation of execution devices, adaptation to different environments and loads, reduction of condensation faults, prolongation of the service life of elements, and improvement of the operation reliability of the switch cabinet.

The invention relates to the technical field of temperature-rise-resistant electric energy metering box testing, in particular to a temperature-rise-resistant electric energy metering box and temperature rise testing equipment thereof, and the temperature-rise-resistant electric energy metering box comprises a box body, a heat dissipation module, a first sensing module and an automatic control module. Through real-time data feedback of the first temperature sensor and the first humidity sensor, the automatic control module can automatically trigger heat dissipation mode switching, and in a high-humidity environment, the first electric push rod drives the inverted-U-shaped cover plate to seal an outer air inlet and an outer heat dissipation opening to form a closed space; through cooperation with an inner circulation path of an air inducing flow channel, an inner air inducing opening, an air compression cooling unit, an air inducing barrel and an inner air outlet, external humid air can be isolated, the wiring terminal is prevented from being oxidized and corroded, and efficient cooling can be achieved through air compression cooling; in a low-humidity and high-temperature environment, the cover plate moves upwards to start external circulation, external air enters the box after dust is filtered out through the filter screen, and heat is taken away through rapid airflow circulation of the outer air inlet, the induced air flow channel and the outer heat dissipation opening.

The invention discloses an intelligent control system for a tea processing process and a control method based on technological parameter optimization, and relates to the technical field of tea processing. By integrating the high-precision sensor and the intelligent decision-making module, comprehensive monitoring and real-time optimization of key technological parameters of tea processing are realized, data accuracy is ensured through pyroelectric infrared and SAW humidity sensors and the like, and the intelligent decision-making module automatically adjusts the processing parameters by using a deep belief network and an ant colony algorithm, so that the processing accuracy is improved. The production efficiency is improved, manual errors are reduced, meanwhile, technological parameters are accurately controlled by adopting an advanced data processing algorithm, variation mode decomposition and independent component analysis ensure stable tea quality, in addition, external and internal data are integrated to optimize the processing technology, heating, ventilation and other parameters are accurately controlled, and energy consumption and cost are reduced.

An evaporation device includes a sample fluid channel extending from a sample fluid inlet to a sample fluid outlet. The evaporation device is configured to evaporate a solvent of a sample fluid containing a target analyte to increase the concentration of the target analyte. The device includes a housing enclosing and defining a testing environment within which the evaporation device is disposed. The housing includes a heater, a temperature sensor, and a humidity sensor. A pump coupled to a gas inlet tube is configured to cause a gas flow within the testing environment adjacent to the evaporation device. A controller in communication with each of the heater, the temperature sensor, and the humidity sensor, is configured to activate the heater in response to at least one of a temperature value or a humidity value of the testing environment.

The invention relates to the technical field of intelligent education and Internet of Things fusion, in particular to a multi-modal interaction control method and system of a multifunctional teaching-assistant robot and the robot. According to the system, a tablet AI processor runs an Android system as a core, a display module, a man-machine interaction module, an audio input module, an audio output module, an image acquisition module, a temperature and humidity sensor module, a WIFI or Bluetooth module, an Ethernet module and an Internet of Things module are connected, and the Internet of Things module supports RS485 wired access and Zigbee wireless access at the same time; the tablet AI processor executes voice interaction, video call, face recognition, environment monitoring, network interaction and equipment linkage, and provides a face recognition alignment and depth feature matching algorithm and an annular microphone array beam forming and sound source direction estimation algorithm, so that multi-modal interaction and multi-equipment linkage in a teaching scene are realized. The convenience and the safety are improved; and the equipment access cost is reduced.

The utility model relates to a high-voltage cable buffer layer ablation characteristic gas detection device which comprises a gas acquisition unit, a gas detection unit, a data processing unit and an alarm unit, the gas collection unit comprises a circulating pump, a vacuum pump, a sampling gas cylinder, a pressure sensor and a plurality of valves, the gas detection unit comprises two detection modules, the gas inlet pipe is connected with a first electromagnetic valve, then is connected with the sampling gas cylinder and is connected with the circulating pump through a second electromagnetic valve, and the circulating pump is connected with the two detection modules through an electromagnetic three-way switching valve. An outlet of the sampling gas cylinder is connected with a third electromagnetic valve, then connected with an inlet of a vacuum pump, connected with a fourth electromagnetic valve and then connected with two detection modules at the same time; the first detection module is composed of a gas concentration sensor, a temperature sensor and a humidity sensor, and the second detection module is a gas sensor array. The device can perform field detection on gas generated in the ablation process of the buffer layer of the high-voltage cable, so that potential faults of the cable can be found and early warned in time.

The invention discloses an intelligent liquid supplementing and sampling system and method of a microorganism sampler and an unmanned flight system. A control module controls a sampling liquid pump to inject sampling liquid in a sampling liquid bottle into a wet-wall cyclone type sampler by a preset liquid injection amount and suspends the sampling liquid pump; the control module controls the fan to inject air into the wet-wall cyclone sampler for sampling, and adjusts the rotating speed of the fan in real time according to the flow detected by the sampling flow sensor, so that the sampling flow is maintained in a preset flow range; in the sampling process, the temperature sensor is used for detecting the temperature of the current air environment in real time per second, the humidity sensor is used for synchronously detecting the humidity of the current air environment in real time per second, and the control module is used for substituting the current temperature and the current humidity into a one-second sampling liquid evaporation capacity fitting function. And calculating the evaporation capacity of the sampling liquid in one second in the current temperature and humidity environment, controlling the working liquid supplementing time of the sampling liquid pump, and injecting the sampling liquid into the wet-wall cyclone type sampler to realize intelligent real-time liquid supplementing.

The invention provides an industrial visual imaging method and system suitable for a high-humidity water vapor environment and a medium, and the method comprises the steps: obtaining temperature fluctuation data and humidity fluctuation data in the water vapor environment at different time nodes based on a temperature and humidity sensor, and analyzing the environment parameters of a shooting environment; acquiring a shot image, analyzing brightness values of pixel points of the shot image, and performing equalization processing on the brightness values to obtain a brightness average value; analyzing fog concentration information of the shooting environment based on the environment parameters of the shooting environment, and analyzing interference information on the brightness mean value based on the fog concentration information; switching a shooting mode based on the interference information, and carrying out defogging processing on the shot image; carrying out enhancement processing, carrying out number domain stretching on the enhanced image, and then executing histogram equalization processing to obtain a visual imaging image; the shooting mode is adjusted by analyzing the interference information of the fog concentration on the image brightness, the image is defogged, the image is enhanced to recover image details, and the recognition capability is improved.

The invention discloses a signal control system for a mining locomotive, and aims to solve the problems of weak interference resistance and low safety of a traditional system. The system comprises a signal acquisition module, a dynamic frequency coding processing module, an intelligent decision-making module, an execution module, a communication module and a power supply module. The signal acquisition module acquires the position, speed and environmental parameters of the locomotive through an infrared position, speed and temperature and humidity sensor; the dynamic frequency coding module monitors the signal-to-noise ratio of a sub-band every 10 ms, when the signal-to-noise ratio of the sub-band is lower than 15 dB, the sub-band is automatically switched to a high-signal-to-noise-ratio sub-band larger than or equal to 20 dB, an encryption mapping table is generated for synchronous updating, and the equipment deals with sudden interference through an emergency band. The intelligent decision-making module generates a control instruction, and speed adjustment and parking are achieved through the execution module. An explosion-proof cable and a low-frequency through-the-earth technology are combined for communication, and a power supply is of an explosion-proof type and has multiple protections. The system improves the anti-interference performance and safety of signal transmission, adapts to the mine environment, and supports the intelligent operation of mine transportation.

The invention relates to the technical field of electric heater preheating, in particular to an electric heater preheating system and method. Wherein the electric heater comprises a shell, an electric heating tube and a junction box; the preheating device comprises a hot air module, a control module, a pressure sensor, a temperature and humidity sensor and a switch valve. The hot air module comprises a draught fan, a heating piece and a connecting air pipe, and the connecting air pipe is connected with the first pipe opening so that hot air generated by the hot air module can be input into the shell through the first pipe opening. The second pipe orifice is used for discharging air, the pressure sensor and the temperature and humidity sensor are arranged at the second pipe orifice to detect a pressure value, a temperature value and a humidity value, and the switch valve is arranged at the second pipe orifice to adjust the opening and closing and / or the opening degree of the second pipe orifice. When the electric heater is in a shutdown state, the external preheating device is connected with the electric heater to form a preheating system, energy of a molten salt system does not need to be depended on, non-internal circulation air is utilized, and preheating and moisture removal of the electric heater are achieved.

The invention relates to the technical field of agricultural intelligent prediction, and discloses a fertilization decision-making system fusing soil and rice growth vigor information data acquisition and analysis, which is characterized in that a microcontroller controls an irrigation valve to apply an irrigation pulse with a preset duration, and a soil humidity sensor is used to monitor a time interval when moisture falls back from a peak value to a baseline; according to the method, irrigation behaviors are reconstructed into an active diagnostic tool, traditional chemical index detection is replaced by physical process dynamic monitoring, lag adjustment is converted into a pre-prediction mode, meanwhile, acoustic verification and a differential correction mechanism are combined, and the crop transpiration rate is predicted. And an anti-environmental interference accurate decision-making system is constructed on the basis of low-cost hardware.

A foreign particulate removal assembly for a laundry appliance includes a cabinet and a drum that is disposed within the cabinet. The drum includes a humidity sensor. The foreign particulate removal assembly further includes a fluid emitting feature that is operably coupled to a fluid housing proximate the drum. The fluid emitting feature is configured to selectively dispense fluid into the drum. A controller is communicatively coupled with the fluid emitting feature. The controller is configured to activate the fluid emitting feature when the humidity sensor detects a predetermined wetness of clothing items disposed within the drum.