40 results about "Atmospheric humidity" patented technology

The invention provides an atmospheric humidity profile inversion method based on a Unet3 + neural network. The atmospheric humidity profile inversion method comprises the following steps: constructing an atmospheric humidity profile inversion model based on Unet3 + MHS microwave data; performing radiometric calibration, projection conversion and quality control on the multi-channel brightness temperature observed by the original satellite; the method comprises the following steps: selecting long-time scale radiation brightness temperature data in a Chinese area range and specific humidity data of ERA-5 corresponding to time and space to make a data set; and performing humidity profile inversion according to the humidity profile inversion model of the brightness temperature data constructed in the step S1. The method has the advantages that the Unet3 + model in deep learning and microwave sensor data which are not affected by time and weather are combined, and the problems that the space distribution of the atmospheric humidity profile is small, and the time resolution is low can be further solved; the method provides atmospheric condition data with higher temporal and spatial resolution for numerical weather forecast research, and has good application value.

The invention provides a fiber fabric based composite material for atmospheric water collection and a preparation method and application thereof, and belongs to the technical field of atmospheric water collection materials. The highly ordered porous structure of the fiber fabric-based composite material improves the adsorption capacity and the mass transfer efficiency, the efficient regeneration process reduces the energy consumption, the good stability and durability prolong the service life of the fiber fabric-based composite material, the flexible system integration mode improves the expandability and the maintenance convenience, and the fiber fabric-based composite material has the advantages of simple structure, low cost and wide application prospect. The maintenance cost is reduced by the simple and convenient operation and maintenance mode, the cost of atmospheric water collection is reduced, and the fiber fabric-based composite material is not limited by natural environments such as atmospheric humidity, ambient temperature and wind power, and is wide in application range.

A ventilation port maintains the humidity range within a sealed or partially sealed enclosure maintaining a level of atmospheric moisture such as a greenhouse. The port is comprised of a polymer blend film made of a hydrophilic component serving as the water-absorbing material and substrate component serving as the mechanical backbone. The film is designed to bend and open the port when the humidity within the enclosure exceeds a predetermined level outside the humidity range, allowing for the venting of excess humidity. Once the humidity falls back within the desired range, the film returns to its original state and closes the port. A humidity sensing device is also disclosed including the film with a piezoresistive material layer, electrodes in electrical communication with the layer, and an electrical measurement device to measure resistivity or capacitance. The strain of the layer due to changes in humidity results in changes in its electrical properties, allowing the device to indicate corresponding humidity levels.

The invention relates to the technical field of atmospheric remote sensing, in particular to an all-weather temperature and humidity inversion method based on a laser radar, which comprises the following steps: S1, acquiring laser radar data of related wavelengths required by water vapor and temperature inversion, and preprocessing the laser radar data; s2, carrying out noise filtering processing on the laser radar data preprocessed in the step S1; and S3, performing inversion processing on the laser radar data subjected to noise filtering processing in the step S2 by using a temperature and humidity inversion formula and substituting the calibration parameters so as to obtain an atmospheric temperature profile # imgabs0 # and an atmospheric humidity profile # imgabs1 #. Through self-adaptive filtering treatment, signal smoothness is ensured, abundant high-altitude information is reserved, the temperature and humidity detection distance is increased, all-weather detection of the temperature and humidity is ensured, the temperature and humidity inversion precision can be effectively improved, in addition, the method can adapt to the complex atmospheric environment, the data reliability is high, and the method is suitable for popularization and application. And all-weather and long-term temperature and humidity data inversion is further effectively supported.

The invention relates to the field of atmospheric humidity inversion, and relates to a GNSS-based mountainous area atmospheric humidity detection method and system, and the method comprises the steps: obtaining DEM data, the resolution of the DEM data being 0.5 m; determining a deployment scheme of a GNSS monitoring station in the mountainous area based on the DEM data; determining position information of the GNSS monitoring station according to the deployment scheme of the GNSS monitoring station, and identifying a signal blind area according to the position information to obtain an identification result; planning a cruise route of the unmanned aerial vehicle based on the recognition result; acquiring a first GNSS delay observation value in real time based on the cruise route; acquiring a second GNSS delay observation value in real time based on a GNSS monitoring station; the mountain area atmospheric humidity is detected based on the first GNSS delay observation value and the second GNSS delay observation value, the four bottlenecks of terrain shielding, low vertical resolution, meteorological data missing and insufficient blind area coverage in mountain area atmospheric humidity detection are broken through, and accurate detection of the mountain area atmospheric humidity is achieved.

This application belongs to the field of data processing, specifically relating to an atmospheric humidity prediction method, system, and device, aiming to solve the problem of how to combine artificial intelligence to predict atmospheric humidity. This application includes: acquiring time-series data during aircraft flight; using slices of the time-series data as input data for a temporal convolutional network to generate dilated convolutional output features; weighting and fusing the correlation features between temperature and air pressure and the dilated convolutional output features using a first dynamic weight to generate a convolutional feature vector; generating an attention feature vector based on the altitude-level feature matrix generated from time-series data at different altitudes and the convolutional feature vector using a multi-head attention model; and weighting and fusing the convolutional feature vector and the attention feature vector using a second dynamic weight to predict atmospheric humidity. This application can cover multi-scale features, achieve comprehensive data processing, and predict future atmospheric humidity using existing data from the flight process.

The invention relates to a forest steppe combustible moisture content detection method, and relates to the field of combustible moisture content detection.The forest steppe combustible moisture content detection method comprises the steps that a combustible sample to be detected is weighed and then put into a container, and the container is put into a high-low temperature test box; setting the temperature and humidity of a high-low temperature test box and the wind speed of an airflow generator; acquiring atmospheric humidity, atmospheric temperature and wind speed for recording weather elements; adding quantitative water into the container, and recording the volume of the added water and the hygrometer value of the combustible; dividing the collected data set into a training set, a verification set and a test set; calculating input parameters by using a neural network, and adjusting the input parameters to receive atmospheric temperature, humidity, wind speed and combustible humidity parameters as input; a training set is used for training a model, hyper-parameters of the model are adjusted through a verification set, an optimization algorithm is utilized, network weight is updated, an error between a predicted value and the actual moisture content is minimized, and the problem that the moisture content of the combustible is not accurately measured is solved.

The atmospheric humidity monitor comprises a shell and a movable plate, the inner side face of an inner cavity of the shell is fixedly connected with a shielding layer, the outer side face of the shell is fixedly connected with a photovoltaic panel, the bottom of the inner cavity of the shell is fixedly connected with an electric rod, and a telescopic rod of the electric rod is fixedly connected with a lower shielding plate. The lower shielding plate is fixedly connected in a mounting groove formed in the lower surface of the lifting plate, the upper surface of the lifting plate is fixedly connected with a fixing rod and a control box, the interior of the moving plate is fixedly connected with an upper shielding plate through a penetrating groove, and the lower surface of the moving plate is fixedly connected with a shielding net and a shielding rod. And the upper surface of the shell is correspondingly provided with a storage groove opposite to the shielding net. According to the utility model, through the cooperation of the upper shielding plate, the lower shielding plate, the shielding layer, the shielding rod and the shielding net, the anti-interference effect of the atmospheric humidity monitor can be effectively enhanced, and then the accuracy of data measurement can be improved in an auxiliary manner.

1. The name of this design product: Micro Weather Station (Sailian SLMCS Series). 2. Purpose of this design product: used to measure meteorological parameters, including atmospheric humidity, atmospheric pressure, wind direction, wind speed, rainfall, as well as light radiation and UV index. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The invention belongs to the technical field of blast furnace control in the metallurgical industry, and particularly relates to a blast furnace atmospheric humidity automatic calculation and multi-furnace data linkage sharing control method which comprises the following specific steps: S1, hardware equipment installation: S1.1, a temperature and humidity instrument; s1.2, signal access is carried out; s2, constructing a control system; S2.1, determining a data basis and a calculation method: (1) a data source; (2) constructing a regression equation; (3) calculating atmospheric humidity; s2.2, constructing a control system architecture: (1) a regression calculation module; (2) an atmospheric humidity calculation module; (3) a data transmission module; s3, data sharing and control: S3.1, receiving and processing by a secondary system; and S3.2, issuing the data. According to the method, automatic acquisition, calculation, transmission and updating of atmospheric humidity data are realized, links of manual table lookup, interpolation, input and the like are completely omitted, the data acquisition efficiency is greatly improved, a blast furnace control system can timely adjust blast furnace air supply parameters according to real-time data, the blast furnace parameters are accurately and timely controlled, and the production efficiency is improved.

A kind of lidar technology for atmospheric waveguide fast measurement, temperature and humidity profile, the key factor of atmospheric waveguide, can be measured simultaneously, the device includes laser emission module: 822nm online seed laser, 822nm offline seed laser, 1064nm pump laser, laser frequency locking module, optical parametric oscillator, acoustooptic modulator, frequency doubling module and emission optical assembly;Echo receiving module: optical receiving telescope and optical lens assembly, F-P filter, polarization light splitting prism, iodine molecular absorption cell, Fizeau interferometer and photodetector;Data acquisition and processing module.The present application fuses differential absorption lidar and two detection systems based on interferometer high spectral lidar, adopts seed injection optical parametric oscillator laser technology, obtains high frequency stability 822nm laser to realize atmospheric humidity profile fast measurement, remaining 532nm laser realizes atmospheric temperature profile fast measurement, finally inverts atmospheric waveguide parameter, realizes atmospheric waveguide efficient and accurate measurement.

The present invention relates to the field of atmospheric remote sensing technology, and in particular to a laser radar-based all-weather temperature and humidity inversion method, comprising the following steps: S1, obtaining laser radar data of relevant wavelengths required for water vapor and temperature inversion, and preprocessing the laser radar data; S2, performing noise filtering on the laser radar data preprocessed in S1; S3, using a temperature and humidity inversion formula and substituting calibration parameters to perform inversion processing on the laser radar data after noise filtering in S2, to obtain an atmospheric temperature profile #imgabs0# and an atmospheric humidity profile #imgabs1#. The present invention, through adaptive filtering, ensures signal smoothness while retaining rich high-altitude information, thereby increasing the detection distance of temperature and humidity, ensuring all-weather detection of temperature and humidity, and effectively improving the inversion accuracy of temperature and humidity. Furthermore, the present invention can adapt to complex atmospheric environments, has high data reliability, and further effectively supports all-weather, long-term temperature and humidity data inversion.

The invention relates to the technical field of hydrogen production, in particular to an AEM hydrogen production equipment anti-corrosion parameter strengthening system adapting to a marine environment. Comprising an environmental parameter monitoring module, an equipment state sensing module, a central processing module and an anti-corrosion execution module, the environmental parameter monitoring module is configured to collect salt mist concentration, atmospheric humidity, seawater splashing frequency and illumination intensity in a marine environment in real time; the equipment state sensing module is configured to obtain the polar plate temperature of the AEM hydrogen production equipment, the working voltage of a membrane electrode assembly, the internal pressure of an electrolytic bath and the surface potential of a metal connecting piece; the central processing module is in communication connection with the environment parameter monitoring module and the equipment state sensing module and is used for generating a dynamic anti-corrosion parameter adjusting instruction according to the coupling relation between the environment parameters and the equipment state parameters. And the corrosion resistance of the equipment in a marine environment is improved.

The invention discloses a multi-channel active nitrogen classification measurement system and method based on a high-precision cavity, and relates to the technical field of trace detection, micro-element analysis, atmospheric environment monitoring and high-precision cavities. A gas inlet module inputs sampled gas into a humidity control module, a pyrolysis module and a high-precision cavity measurement module; the sampling gas is ambient atmosphere or ambient atmosphere after filtering reaction gas; the humidity control module inputs the humidified gas into the pyrolysis module; the pyrolysis module comprises a plurality of pyrolysis units with different pyrolysis temperatures and is used for inputting directly sampled gas and humidified gas; the pyrolysis unit is used for performing pyrolysis separation on nitric acid and nitrate ester in the ambient atmosphere to generate nitrogen dioxide gas; all the gases are subjected to temperature control by the water bath heating module and then enter the high-precision cavity measurement module, and the concentration of nitrogen dioxide gas in each gas is measured by the high-precision cavity measurement module, so that the concentrations of different types of active nitrogen in the ambient atmosphere are obtained. The high-sensitivity measuring system and the high-sensitivity measuring method can accurately measure the concentration of different active nitrogen gases.

The invention discloses an atmosphere water collecting device, and relates to the technical field of atmosphere water resource collection, the atmosphere water collecting device comprises a water storage tank, a control device, a driving device and at least one flexible water collecting body, the water storage tank is provided with at least one opening, and the openings are in one-to-one correspondence with the flexible water collecting bodies; the contour shape of each flexible water collecting body is matched with the contour shape of the corresponding opening, each flexible water collecting body is fixedly connected to the corresponding opening of the water storage tank, and a plurality of gaps are formed in each flexible water collecting body; the control device can control the driving device to keep starting when the atmospheric humidity meets a set condition; the driving device can make the flexible water collecting bodies deform towards the interior of the water storage tank, when the flexible water collecting bodies deform, the corresponding gaps are opened in the first direction, and the first direction is the width direction of the corresponding gaps. According to the invention, the mist catching and water collecting functions can be realized, and the evaporation loss is greatly reduced.

The application discloses a kind of considering atmospheric humidity's coastal area photovoltaic power generation power prediction method and system, wherein method includes the following steps: obtaining the first meteorological element real-time data of the environment of current detection period coastal area photovoltaic power generation device, first meteorological element includes: relative humidity and evapotranspiration;Based on short-time photovoltaic power generation power prediction model, combine relative humidity real-time data and evapotranspiration real-time data, calculate the power prediction value of photovoltaic power generation device in next detection period.By introducing and coastal area characteristic highly related evapotranspiration and relative humidity and other meteorological elements, as the main influencing factor of short-term photovoltaic power generation power prediction, the accuracy of coastal area photovoltaic power generation power prediction is significantly improved.

The application provides a cloud bottom height estimation method and device based on a ground-based microwave radiometer, comprising: receiving historical sounding data of an observation area input by an external device; establishing a relationship matrix among a cloud bottom emissivity, liquid water content and an infrared instrument detected radiation brightness temperature according to a detection frequency of the infrared instrument in the ground-based microwave radiometer and the historical sounding data; determining the cloud bottom emissivity based on the relationship matrix and according to real-time observation of the ground-based microwave radiometer to obtain the liquid water content and the infrared instrument detected radiation brightness temperature; determining a real temperature of the cloud bottom according to the cloud bottom emissivity; and estimating the cloud bottom height based on the real temperature of the cloud bottom, an atmospheric temperature profile and an atmospheric humidity profile. The application can judge and correct the cloud bottom height through real-time measurement of the atmospheric temperature and humidity profile, thereby significantly improving the estimation accuracy of the cloud bottom height and optimizing the observation performance of the ground-based microwave radiometer in cloud bottom height observation.

The invention relates to the field of ferrous metallurgy, in particular to a method for adjusting the air supply area of a blast furnace tuyere according to seasonal atmospheric humidity change. The air volume needing to be supplemented for blast furnace hearth heat balance change caused by humidity change is calculated; and calculating the blast-furnace tuyere air supply area variation. The method has the advantages that the air supply area of the blast-furnace tuyere can be more accurately adjusted by calculating the influence of the moisture on the heat of the blast-furnace hearth and the air volume change requirement caused by the influence, so that the blast-furnace air volume is matched with the heat change of the hearth; reasonable adjustment of the air supply area of the tuyere is beneficial for guaranteeing stability of a tuyere rotation area, the stable tuyere rotation area can reduce turbulence of airflow in a hearth, and the utilization rate of coal gas is increased; and through quantitative calculation, the blindness can be avoided, so that unnecessary energy consumption is reduced as much as possible on the premise that the blast furnace meets the production requirements, and the energy cost is reduced.

The invention discloses an automatic fertilization and watering control method and system for landscape garden seedlings, and relates to the technical field of fertilization, watering and water saving. Comprising the following steps: acquiring nursery stock growth environment data and growth state data based on a preset acquisition period and a real-time triggering condition; the nursery stock growth environment data at least comprises soil humidity, a soil EC value, atmospheric humidity, rainfall and illumination duration, the nursery stock growth state data at least comprises plant height, a leaf SPAD value and young shoot growth amount, the preset acquisition period is preset, and the real-time trigger condition at least comprises extreme weather early warning and soil parameter exceeding threshold. Real-time nutrient and moisture requirements of seedlings in different growth stages are judged through seedling growth environment data and growth state data in combination with seedling growth requirement models of an environment factor analysis layer and a growth stage matching layer, artificial experience errors are avoided, it is ensured that maintenance measures are highly matched with actual requirements of the seedlings, and the maintenance efficiency is improved. Maintenance risks such as root burning and withering are reduced, and the survival rate and growth quality of seedlings are improved.

Provided is a technique that, when heat-treating a substrate including an exposed resist film formed on a surface of the substrate and exhibiting a change in solubility of an exposed portion or an unexposed portion in a liquid developer by reacting with water and being heated, is capable of promoting the change in the solubility. For this purpose, a heat treatment apparatus includes: a stage 23 on which the substrate W is placed and heated; a lifting mechanism 26 configured to relatively raise and lower the substrate W between a first position at which the substrate is placed on the stage 23 and a second position spaced apart from the stage; and a gas supply 33 configured to supply a first gas having a humidity higher than that of an atmosphere in which the stage 23 is provided, to the substrate W located at the second position before moving to the first position.

An atmospheric moisture measuring system is provided that includes at least one moisture collector, at least one moisture sensor, at least one heater and at least one timer system. The at least one moisture collector is coupled to receive an airflow from a bleed system of a vehicle. Each moisture sensor is coupled to receive evaporated moisture from an associated moisture collector of the at least one moisture collector. Each heater is configured to heat an associated moisture collector to generate the evaporated moisture received by an associated moisture sensor. Each timer system is configured to selectively activate an associated heater.

The application discloses a kind of blast furnace humidity automatic regulating method, device, equipment and storage medium.The method is executed by the blast furnace equipment with first humidification steam pipeline and second humidification steam pipeline, comprising: obtaining preset humidity information, and judging whether the current target blast furnace exists furnace changing operation;According to the blast pressure difference and current atmospheric humidity, determine the current air humidity adjustment value, and obtain the adjustment dead zone width according to the current air humidity adjustment value;According to the current atmospheric humidity, target blast humidity and current blast humidity, obtain air humidity difference value;According to the size relationship of air humidity difference value and adjustment dead zone width, the opening of first humidification steam pipeline and / or second humidification steam pipeline is adjusted, to automatically regulate the blast furnace humidity.Through the technical scheme of the application, the automatic regulation of blast furnace humidity can be realized, and the control precision and regulation speed of blast furnace humidity are improved.

The utility model provides a multi-parameter hydrological early warning device for protected objects near a river in a mountainous area, which comprises a multi-parameter monitoring module used for acquiring various parameter information; the multi-parameter monitoring module comprises a rainfall sensor, a water level monitor, a flow velocity monitor, an air temperature sensor, an air pressure sensor, an illumination intensity sensor, an atmospheric humidity sensor, a water quality monitor and a water temperature monitor; the grading early warning module is used for sending out an early warning signal when any one of the rainfall, the water level, the flow velocity and the water quality does not meet a preset value; the preset value of the rainfall comprises ready-to-transfer rainfall and immediate-transfer rainfall; the preset value of the water level comprises a ready-to-transfer water level and an immediate-transfer water level; and the power supply module is used for supplying power to the multi-parameter monitoring module and the grading early warning module. The device can carry out graded early warning on natural risks possibly occurring in a river-adjacent area and carry out early warning on the water quality of a river, ensures the water use safety of residents, and can also provide stable meteorological data for areas without data.

The invention provides a tea garden intelligent management and control system integrated with environmental monitoring, and the system comprises a monitoring module which comprises a meteorological environment monitoring sensor, a soil environment monitoring sensor and a camera, the meteorological environment monitoring sensor is used for monitoring meteorological data, and the meteorological data comprises atmospheric temperature, atmospheric humidity, illumination intensity and wind speed; the soil environment monitoring sensor is used for monitoring soil data, and the soil data comprises soil temperature, soil humidity, soil conductivity and soil pH value; the camera is used for shooting tea images; the task processing module comprises a tea visual identification module which is used for processing the tea based on a deep learning tea identification model so as to identify the number of tea buds which can be picked in a unit area, and further estimating the yield; the tea garden insect pest prediction model is used for predicting insect pest occurrence probabilities and hazard levels at different time points by adopting a tea garden insect pest disaster formation prediction model based on time sequence prediction on the basis of the meteorological data and the soil data; according to the insect pest adaptive water, fertilizer and liquid medicine proportioning optimization model, the proportions of water, fertilizer and liquid medicine required at different time points are obtained according to different growth stages and insect pest hazard grades of the tea trees.

To provide a weather observation system, weather observation method, weather observation apparatus, and program that facilitate grasping or observing the state of the flow of the atmosphere containing water vapor.SOLUTION: A weather observation system 10 comprises: a flying body 20 that acquires weather data for weather observation; and a weather observation apparatus 30 that performs weather observation processing based on the weather data. The flying body 20 includes a humidity state quantity sensor that detects a humidity state quantity being a state quantity relating to humidity in the atmosphere. The weather observation apparatus 30 calculates and outputs, for each three-dimensional position coordinate or two-dimensional position coordinate of the flying body 20, a water vapor amount-related value corresponding to the amount of water vapor contained in the atmosphere per unit volume or per unit weight, on the basis of the humidity state quantity.SELECTED DRAWING: Figure 4

The application relates to a control method, device and equipment for preventing overloading of a discharging motor of a dryer, which comprises the following steps: determining an initial discharging interval of to-be-discharged grains according to the grain type, initial moisture of the to-be-discharged grains, target moisture, atmospheric humidity and working temperature of a burner of the dryer; if the initial discharging interval meets preset time conditions corresponding to the to-be-discharged grains, the initial discharging interval is determined as a target discharging interval; if the initial discharging interval is less than a grain drying moisture time, the initial discharging interval is adjusted until the adjusted discharging interval meets the time conditions, and the adjusted discharging interval is determined as the target discharging interval; and discharging of a discharging gate of a discharging bin to the dryer for drying is controlled according to the target discharging interval. Through the method, the time required for determining the target discharging interval is shortened, and the method has good applicability for long-time continuous operation or short-time operation.

The invention relates to the technical field of fire coal detection, in particular to a method for quickly estimating the calorific value of fire coal, which comprises the following steps: weighing a coal sample with the particle size of less than 6mm, drying at 105-110 DEG C until the mass is constant, and calculating the as received basis total moisture of the coal sample according to the mass loss of the dried coal sample; the method comprises the following steps: taking a coal sample of which the granularity is less than 0.2 mm, uniformly spreading the coal sample into a thin layer, drying at 105-110 DEG C, transferring the dried coal sample to room temperature, and cooling until the coal sample is balanced with the atmospheric humidity to obtain a treated coal sample of which the granularity is less than 0.2 mm; measuring the air dry basis moisture, the cylinder calorific value and the air dry basis hydrogen value of the prepared coal sample by adopting the prepared coal sample, and measuring the sulfur content of the coal by adopting the cylinder washing liquid; and calculating to obtain the as received basis low calorific value of the fire coal according to each parameter measured in the step. According to the method, the efficiency, precision and reliability of calorific value estimation are remarkably improved through fine design of coal sample preprocessing, parameter measurement and data calculation links.

To provide a carbon dioxide recovery device capable of suppressing deterioration of an adsorbent even when the outside air temperature is high.SOLUTION: A carbon dioxide recovery device 1 includes: a reactor 11 which has an adsorbent 12; an intake line 101 which is connected to the upstream side of the reactor 11 and through which gas flows; a fan 61, an intake valve 21, and an exhaust valve 31 which can adjust the flow rate of gas supplied from the intake line 101 to the adsorbent 12; an outside air temperature sensor 52 which acquires the outside air temperature at the location where the reactor 11 is installed; a carbon dioxide sensor 53 which acquires the carbon dioxide concentration in the atmosphere; a humidity sensor 54 which acquires the humidity of the atmosphere; and a flow rate control unit 56 which adjusts, by controlling the fan 61, the intake valve 21, and the exhaust valve 31, the flow rate of gas flowing into the reactor 11 on the basis of the outside air temperature, the carbon dioxide concentration, and the humidity, so that the temperature of the adsorbent during an adsorption process in which the adsorbent 12 adsorbs carbon dioxide does not exceed a preset threshold.SELECTED DRAWING: Figure 4

The water harvesting system includes: an air processing subassembly; a moisture harvesting subassembly; a collection subassembly; and a water tank interface. The air processing subassembly includes: an air inlet; and a blower. The moisture harvesting subassembly includes an adsorption chamber containing a sorbent configured to: during an adsorption phase, capture water from the outdoor air flow; and during a desorption phase, release water to generate a humidified desorption flow. The collection subassembly includes: a refrigeration subsystem configured to condense harvested water from the humidified desorption flow; an air exhaust; and a water outlet. The water tank interface: is disposed within a through-bore of a water tank of the water dispenser; fluidically couples the water outlet to an internal volume of the water tank; and is configured to direct the harvested water from the water outlet into the internal volume of the water tank.

The present application relates to the technical field of electric power, and particularly relates to a power box anti-condensation heating and dehumidification method. The method comprises the following steps: obtaining atmospheric humidity through weather forecast, and obtaining box humidity through a humidity sensor in the power box; when the humidity sensor is in a normal state, controlling a PID heating strategy according to the box humidity; when the humidity sensor is damaged, controlling a heating strategy according to the atmospheric humidity. The present application gives a method for determining whether the humidity sensor is abnormal or not in the case of using only the humidity sensor. For the normal and abnormal states of the humidity sensor, dehumidification and heating strategies are respectively formulated, which significantly increases the stability of the power system. When the humidity sensor is normal, the PID heating control strategy can quickly dehumidify in the case of high humidity, and prolong the dehumidification time in the case of low humidity, thereby avoiding frequent start and stop of the heater.