37results about How to "Improve collection accuracy" patented technology

The invention discloses an underground cable pipeline abnormity monitoring method and system, and the method comprises the following steps: S1, building a three-dimensional grid based on the regional soil distribution condition, and obtaining a collection point data set based on the three-dimensional grid and underground cable pipeline data; s2, acquiring acquisition distribution corresponding to each to-be-arranged sensor type based on the to-be-arranged sensor type and the acquisition point data set; s3, acquiring underground cable pipeline time sequence data acquired by each sensor based on acquisition distribution, and performing clustering analysis on the underground cable pipeline time sequence data to acquire abnormal data points; and S4, obtaining an abnormal position according to the abnormal data points and the collection distribution, and outputting abnormal information of the underground cable pipeline according to the abnormal position. The method has the beneficial effects that the physical position of the cable pipeline is considered, meanwhile, the soil environment characteristics are considered, the accuracy of sensor arrangement in the pipeline is improved, the abnormal data point analysis efficiency is improved, and the underground cable pipeline abnormity can be conveniently and timely checked.

The invention discloses a sensitivity compensation method and system based on a TMR sensor. The method comprises the steps that a temperature compensation circuit introduces a negative temperature coefficient temperature sensitive resistor to be connected with a TMR current sensor in series; a fitting compensation technology is used, the corresponding relation between the temperature and the sensitivity of the sensor is accurately measured, data fitting is carried out through a least square algorithm, and a mapping curve of the temperature and the sensitivity is obtained; constructing and training a neural network model for learning and simulating a complex mapping relationship between environmental factors of a space geomagnetic field and temperature and measurement output of the TMR current sensor; and performing real-time correction compensation on the original output signal of the TMR current sensor by using the trained neural network model according to the environment temperature information acquired by the upper computer in real time and the correction factor predicted by the model. Through a unique compensation mechanism and an optimization algorithm, the accuracy of current signal acquisition and the stability of the system are remarkably improved, and the influence of environmental factors is reduced.

The embodiment of the invention provides an agricultural product traceability data acquisition method and system based on the Internet of Things. The method comprises the following steps: acquiring farmland environment data in real time based on a distributed sensor network; the data transmission stability between the sensors is enhanced by using a wireless communication technology; recording data transmitted by the sensor based on a chain type data storage structure so as to ensure data integrity; when a high-humidity environment is detected, a redundant data verification mechanism is started, and data loss is reduced; the traceability data is integrated and analyzed based on the cloud data analysis platform, and the data acquisition accuracy is improved. Through the scheme of the embodiment of the invention, the problem of data loss caused by unstable sensor data transmission in a high-humidity farmland environment can be solved.

The invention relates to the field of data processing, in particular to a high-voltage cable production process parameter management method and system, and the method comprises the steps: obtaining a measurement value of the same process parameter at the current moment through a plurality of sensors, and correcting the measurement values of the plurality of sensors at the current moment to obtain an optimal measurement value for the management of a production process; the method for correcting the measured value at the current moment comprises the following steps of: constructing an optimal measurement matrix by utilizing the optimal measured value at the previous moment, taking the product of the optimal measurement matrix and a preset first state transition matrix as a predicted value of the technological parameter at the current moment, and calculating the adaptive Kalman gain of each sensor. The method has the effect of improving the accuracy of process parameter acquisition.

The invention provides a highway unmanned aerial vehicle autonomous inspection method and system, and relates to the technical field of data processing, and the method comprises the steps: receiving a preset inspection path from an inspection starting point to an inspection terminal point; unmanned aerial vehicle sensor information and unmanned aerial vehicle angular velocity information in the inspection process are collected; when an obstacle is detected by the unmanned aerial vehicle sensor information, obstacle avoidance is carried out, and otherwise, whether yawing is carried out or not is detected; generating an obstacle avoidance direction based on a potential field principle, and performing obstacle avoidance according to the obstacle avoidance direction; calculating a yaw angle of the unmanned aerial vehicle according to the angular velocity information of the unmanned aerial vehicle, and judging whether to yaw based on the yaw angle of the unmanned aerial vehicle; correcting the course of the unmanned aerial vehicle according to the yaw angle, and performing inspection along the adjusted course of the unmanned aerial vehicle; collecting real-time video frames of the expressway; constructing a highway abnormal scene recognition model, and outputting an abnormal scene; and uploading the abnormal scene to the holder, and sending out an abnormal prompt. The autonomous inspection efficiency and inspection precision are improved, and the manual intervention frequency and deployment cost are reduced.

The invention discloses a crosslinked cable eccentricity adjusting process and a crosslinking production line thereof. The adjusting process comprises the following steps: S1, setting the number of cable extrusion layers; s2, setting a marking notch; s3, sampling the material and carrying out layer number sequence number calibration; s4, carrying out multi-layer co-extrusion and moving a crude product; s5, acquiring a thickness parameter set 1; s6, vulcanizing and cooling; s7, acquiring a thickness parameter set 2; s8, thickness solving is carried out, and xi is stored in a standard thickness parameter; s9, dynamically solving the thickness xi of each layer and performing time parameter derivation to obtain a trend derivative d1 and a trend derivative d2; and S10, judging a trend derivative d1 and a trend derivative d2, and carrying out feedback adjustment. By adopting the process, the thickness data of each layer can be accurately acquired, the deformation reason of the extrusion layer can be judged, the data acquisition mode is simpler, the acquisition cost is lower, the hysteresis of parameter adjustment can be effectively overcome, and the product yield is greatly improved.

The invention relates to the technical field of power grid and transformer manufacturing, in particular to a control method and system for a permanent magnet on-load voltage regulation tap switch, and the method comprises the steps: collecting a permanent magnet switch gear signal through a switch gear signal collection module; voltage information of the low-voltage side of the transformer is acquired through a voltage signal acquisition module; logic judgment is carried out on the collected gear signals and the low-voltage side voltage signals, and permanent magnet mechanism driving current is output through a central controller; a selection driving mechanism in a tap switch is driven by a permanent magnetic mechanism to complete connection switching of transformer tapping taps; and the central controller performs double-closed-loop judgment on the gear signal and the voltage signal on the low-voltage side of the transformer, and gives a corresponding instruction according to a judgment result. The method has the beneficial effects that the state of the permanent magnet on-load tap-changer is monitored in real time through the double feedback loops, the control precision is improved, and faults are reduced; the central controller dynamically adjusts the driving current, ensures the consistency of the switching speed, adapts to different environments, and prolongs the service life.

The invention belongs to and discloses an accurate matrix acquisition device for a vertical flow constructed wetland model, which comprises a simulation mechanism, and the simulation mechanism is provided with an auxiliary mechanism in a matched manner; the simulation mechanism comprises a simulation container filled with a matrix, a plurality of matrix sampling ports are longitudinally formed in the side wall of the simulation container, and sampling is carried out in the simulation experiment process; the auxiliary mechanism comprises a semi-cylindrical groove matched with the simulation container, the simulation container is connected in the semi-cylindrical groove in a sliding mode, an ejection assembly is arranged at the bottom end of the semi-cylindrical groove, the ejection assembly is in transmission connection with the simulation container, and the ejection assembly abuts against the end of a matrix in the simulation container; the push-out device is used for pushing out the matrix in the simulation container after the simulation experiment is finished. The device is accurate in matrix collection, high in efficiency, easy and convenient to operate and low in cost, target matrixes of different layers can be accurately collected, the problem that the original matrix structure is effectively protected when the matrixes are collected in different periods is solved, and normal operation of subsequent experiments and reliability of results are ensured.

The invention discloses a traditional Chinese medicine information acquisition and processing system assisted by intelligent equipment, and belongs to the technical field of medical information processing. Comprising an equipment inspection module, a pulse pressure initial value acquisition module, an acquisition window length adjustment module and an information uploading module. The pulse acquisition period window length is adjusted according to the pulse acquisition signal real-time steady-state value, and the data uploading rate is adjusted in combination with the data uploading demand parameter and the data transmission characteristic parameter, so that the effect of accurately acquiring and transmitting the effective data of the individual pulse diagnosis information of the patient is achieved; the problem that effective data of individual pulse diagnosis information of a patient is difficult to accurately obtain and transmit in the prior art is solved.

The cloud and fog particle collector includes a shell, and an airflow channel is arranged in the shell; the characteristic is that the airflow channel includes an air inlet channel and an oblique channel connected to the end of the air inlet channel and arranged obliquely, the air inlet channel is arranged in a horizontal direction, and the oblique channel is at an angle of 45° with the horizontal plane; the beneficial effect of the present invention is that: since the air inlet channel is arranged in a horizontal direction, the airflow will not form a large amount of turbulence, and the particles in the airflow will not collide with each other under the action of turbulence and agglomerate or split, thereby causing the volume of the particles to increase or decrease, and will not cause the distribution density of the particles outside the airflow channel and in the airflow entering the airflow channel to change significantly. Therefore, the distribution density and volume size of the particles outside the airflow channel and in the airflow entering the airflow channel are basically maintained consistent.

The invention relates to the technical field of diesel engines, and discloses a diesel engine urea concentration diagnosis method, device and equipment, a medium and a product. Searching whether a normal urea concentration value is detected in the last driving cycle or not, wherein the driving cycle represents the process of the vehicle from power-on to power-off or ignition to flameout; detecting whether to inject urea according to the urea liquid level of the urea box; if the normal urea concentration value is detected in the last driving cycle and urea is not injected, the normal urea concentration value serves as the current urea concentration value to be output. The urea concentration detection accuracy is improved.

The present invention discloses a portable device for collecting chloride ions on the surface of coastal buildings and a detection method; the device includes a tripod, a two-way atmospheric sampler, a first sand core funnel, a second sand core funnel, and a first and a second anti-backflow device; the two-way atmospheric sampler is arranged on the tripod, the first sand core funnel and the second sand core funnel are arranged on the left and right sides of the two-way atmospheric sampler respectively, one end of the first anti-backflow device is connected to the large diameter end of the first sand core funnel through a rubber connecting tube, and the other end is connected to the suction port of the two-way atmospheric sampler through a rubber connecting tube; one end of the second anti-backflow device is connected to the large diameter end of the second sand core funnel through a rubber connecting tube, and the other end is connected to the suction port of the two-way atmospheric sampler through a rubber connecting tube. The device and detection method of the present invention can eliminate the influence of factors such as average wind speed and wind direction, and obtain the chloride ion concentration on the outer surface of the building through the relationship between the chloride ion concentration in the air and the surface concentration of the building.

The invention discloses a freight return data processing method and system based on the Internet of Things, and relates to the technical field of electric digital data processing. The freight return data processing method based on the Internet of Things comprises the following steps: evaluating the influence of transportation quality; recording efficiency evaluation; and evaluating data transmission. According to the method, the unqualified quality influence coefficient and the qualified quality influence coefficient are obtained through the food return transportation related data, then the entry efficiency evaluation coefficient is obtained based on the unqualified quality influence coefficient and the food return entry related data, and whether data entry efficiency adjustment is performed or not is judged; and finally, combining the station transmission data and the qualification entry efficiency evaluation coefficient to obtain a data transmission evaluation coefficient, and judging whether the data transmission evaluation coefficient meets a transmission qualification condition or not, thereby achieving the effect of improving the accuracy of food return data acquisition, and solving the problem of low accuracy of food return data acquisition in the prior art.

Embodiments of the present application disclose a kind of index data acquisition method, device and equipment, the method comprises: determining the target index collection container corresponding to the target index to be collected and target index collection strategy;The target index collection strategy is sent to the target index collection container, to make the target index collection container based on the target index collection strategy, the application container corresponding to the target index is collected with the index data;After the integrity detection of the index data of the target index collected by the target index collection container passes, the index data of the target index is stored to specified storage location.By this method, the data acquisition accuracy when the index data of application container is collected can be improved.

The invention belongs to the technical field of saliva collection, and discloses an intelligent auxiliary saliva collection device for detecting infectious viruses in saliva. The intelligent auxiliary saliva collection device for detecting infectious viruses in saliva comprises a collection module, an antifouling module, a sample storage module, a processing module, an operation module, a data recording and tracking module, a sample transfer module and a detection processing module. Through accurate control of the sample collection amount, anti-pollution design, a preservation solution separation module and simple and convenient operation functions, the saliva sample collection precision, safety and user experience are remarkably improved, the stability and integrity of the collected sample in the detection process are ensured, and the saliva sample collection device is particularly suitable for detection and large-scale screening of infectious viruses.

The application relates to the aluminum alloy door and window processing technical field, in particular to a welding device for aluminum alloy door and window processing, which comprises a welding gun, an aluminum alloy frame, a jet assembly, a clamping frame, a folding frame, a discharge pipe and a slag suction mechanism, the slag suction mechanism comprises an adjusting assembly and a collecting hopper, the application forms an annular airflow barrier through the surrounding jet assembly, can effectively block the spatter of the welding slag, and avoids the generation of the welding slag defects on the profile surface; through the multi-motor adjusting structure, the telescopic electric cylinder and the folding frame, the position and the angle of the device can be adjusted in multiple dimensions, the welding operation of the aluminum alloy frame with different specifications and special shapes can be adapted, the air deflector can be flexibly unfolded or folded through the adjusting assembly, the spiral negative pressure airflow is formed in cooperation with the internal flow guide structure of the collecting hopper, and the welding slag collecting effect is improved; and the device can be folded and collected, and is convenient to store and carry. The technical problems that the traditional welding device has poor welding slag protection, weak adaptability and cannot be flexibly stored are solved, and the welding processing quality and the operation efficiency are improved.

The invention discloses a throat swab and sampling tube set, comprising a throat swab main body and a sampling tube main body, the upper end of the throat swab main body is provided with a flat hand-held end, the lower end of the throat swab main body is provided with an anti-falling convex ring, the outer side of the anti-falling convex ring is wrapped with a throat swab cotton head, the throat swab main body is provided with a disengagement groove, the middle position of the disengagement groove is provided with a connecting rib, the outer side of the connecting rib is provided with a connecting thin layer, the upper end of the sampling tube main body is connected with a sealing cover, and the interior of the sampling tube main body is provided with a disassembly mechanism. The throat swab and sampling tube set used in combination can quickly separate the throat swab end during nucleic acid sampling, thereby improving the work efficiency of medical staff, making the nucleic acid sampling process simple and convenient to operate, improving the sealing performance through the sealing cover structure, avoiding the use of the cover to assist in breaking the throat swab and causing contamination, and improving the accuracy of nucleic acid collection, which is worthy of popularization.

The invention provides a financial data identity verification system and method based on biometric feature recognition, and the system comprises a biometric feature time-sharing recognition subsystem which recognizes time-sharing biometric features of a user in different time periods every day; generating a black box anti-cracking verification code corresponding to the time-phased biological feature encryption code; the financial law trajectory tracking subsystem tracks the real-time activity trajectory and verifies whether the real-time financial income and expenditure activity trajectory deviates from the normal financial income and expenditure activity trajectory of the user; the timestamp site verification subsystem verifies whether timestamps of different terminals are in a normal time range or not in real time and synchronously verifies whether a financial data change site is in a normal area range or not; and the financial data verification subsystem analyzes the financial income and expenditure data rule, verifies the financial data rule in real time, and triggers the user terminal to confirm information and the financial supervision platform for the abnormal fluctuation of the financial income and expenditure data to warn when the financial income and expenditure data abnormally fluctuates.

The utility model discloses an Internet of Things device for information acquisition, relates to the technical field of information acquisition, and aims to solve the technical problem that information acquisition is inaccurate due to the fact that no auxiliary supporting structure exists and supporting points cannot be provided for people who are inconvenient to stand at present, and comprises a bottom plate, a lifting mechanism and an information acquisition assembly, by designing the structure of the driving assembly, the fixing plate and the bracket assembly, the auxiliary supporting function is achieved, the number of supporting acting points is increased, the standard of the standing posture is improved, the standing posture is more stable, and the working efficiency is improved. And the information acquisition accuracy is enhanced. The auxiliary support has the advantages that the auxiliary support acting points are increased, the use of people with different heights can be met through the lifting adjustment matching, and the height collection accuracy can be improved when information is collected for people who are inconvenient to straighten up and down.

This application discloses an intelligent breathing-type curtain wall ventilation control system and energy-saving optimization method, including a main controller and several sets of curtain wall ventilation louver actuators. The main controller integrates a vertical layered and zoned sensing and acquisition module, an actuator hysteresis dynamic compensation module, a thresholdless transient smooth prediction and control module, and a start / stop micro-energy consumption adaptive suppression module. This application achieves differentiated monitoring of vertical layering in the breathing-type curtain wall cavity and independent ventilation control of each zone by setting up a vertical layered and zoned sensing and acquisition module. This effectively overcomes the technical defects of traditional single-point unified control methods, which cannot adapt to the vertical heat storage and layering characteristics of curtain walls and are prone to excessive ventilation and energy consumption in the upper part and insufficient ventilation and condensation in the lower part. It significantly improves the regional adaptation accuracy of curtain wall ventilation control and the accuracy of environmental parameter acquisition. By configuring the actuator hysteresis dynamic compensation module, dynamic advance correction can be made for the mechanical response hysteresis characteristics of ventilation louvers under different operating conditions.

The present invention provides a fully self-service fundus camera and a method for setting a photographing mode, belonging to the technical field of medical equipment, and specifically comprising: obtaining abnormal movement images of a user during a use period of the fundus camera, and determining, in combination with user change types corresponding to different abnormal movement images, whether the user's position change can meet the requirements, obtaining historical fundus images of the user using different photographing modes, determining the image qualification rate of the historical fundus images, and determining a recommended photographing mode for the user in combination with historical shooting times of different photographing modes, obtaining the user's fundus image using the recommended photographing mode, and determining whether the photographing mode needs to be switched based on the analysis results of the fundus image and the user's position change, thereby ensuring the acquisition and processing efficiency and clarity of the fundus image.

This application discloses a method and apparatus for gesture-triggered AI real-time image generation and interaction, relating to the field of artificial intelligence technology. The method includes acquiring and establishing a feature connection link between a sensor unit and a target user; collecting and extracting features of the target user based on the sensor unit to obtain target user feature information; matching and locking the sensor unit and the target user based on the target user feature information and the feature connection link, and outputting a pre-preparation completion signal; creating a 3D user digital twin model; performing real-time detection of the target user based on the sensor unit to obtain multi-source sensor data; performing 3D reconstruction of the target user's real-time state based on the multi-source sensor data to obtain 3D user real-time dynamic information; and synchronously displaying the 3D user real-time dynamic information on the 3D user digital twin model. This application improves the efficiency of gesture-triggered AI real-time image generation and interaction.

The present invention discloses a method for collecting geographic information based on voice input, and the collecting method includes automatic collecting and manual collecting; the automatic collecting directly collects data through a collecting device, and converts the data, and then transmits and saves the data to the outside; the manual collecting requires personnel to go to the site, input relevant technical data, and obtain geographic information, and the automatic collecting includes an automatic collecting system, and the automatic collecting system includes: a collecting device, a signal transmission device, a cloud information library, a comparison module and an output module; the present invention has a scientific and reasonable structure, is safe and convenient to use, and facilitates the collection of different environments and different sites through automatic collecting and manual collecting, thereby realizing the convenience of geographic information collection, realizing operation suitable for the site, and greatly facilitating the convenience of operators and collectors.

The application discloses an artificial intelligence real-time microseismic monitoring node and relates to the technical field of earthquake detection.The stabilizing mechanism comprises a connecting cover, a dense shaft ring, a vertical connecting shaft line, a data processing cabin and an isolation groove ring.The connecting cover is slidably connected to the inner wall of the device cabin.The dense shaft ring is fixedly connected to the bottom of the connecting cover.The vertical connecting shaft line is fixedly connected to the inner wall of the dense shaft ring.The data processing cabin is fixedly connected to the bottom of the vertical connecting shaft line.In the application, multiple flexible connecting lines pull the data processing cabin from the side to comprehensively fix the data processing cabin, avoid the direct contact between the data processing cabin and the inner wall of the device cabin, and thus affect the collection and overall planning accuracy of the data processing cabin.

The invention discloses a psychological attention training device and a use method thereof, and relates to the technical field of nerve stimulation. A light guide column is mounted on the inner side of the front cover; magnetic attraction assemblies are mounted on the two sides of the main control board; electroencephalogram electrodes are mounted in the middles of the magnetic attraction assemblies; the inner side of the rear cover is a cambered surface; the main control board is connected with an evaluation device, and the evaluation device is provided with an interaction handle. Collection points of the electroencephalogram signals are positioned to the forehead position through the sponge and the arc-shaped rear cover, the electroencephalogram signals related to attention can be conveniently collected, the training device is provided with the evaluation equipment with the double training modes and the interaction handle, and the efficient training method for the attention concentration state is provided.

The utility model discloses an intelligent weighing type rainfall titration tester, which belongs to the field of rainfall monitoring equipment calibration, and comprises an instrument box, a water injection unit, a weighing unit and a control unit, the high-precision intelligent lifting electronic scale weighing metering unit is used for collecting the residual water weight of the water storage tank in real time and calculating the amount of the constant-flow measurement water sucked by the water injection unit; and the display control unit is used for controlling operations such as instrument parameter setting, calibration, verification, operation, titration, error evaluation, field titration process data printing and the like, and displaying various data. According to the invention, a high-precision electronic scale and a constant-flow water pumping principle of a filling pump are utilized, so that the uncertainty of field calibration caused by personal errors due to the fact that the water injection speed of manual titration is difficult to control is eliminated; by utilizing the real-time weighing function of the high-precision electronic scale, the tedious operation process that the peristaltic pipe is influenced by temperature and needs to be calibrated on site for multiple times is overcome.

The invention discloses a cathode isolation circuit, a battery total voltage acquisition circuit and an acquisition method, and the cathode isolation circuit comprises a high-voltage acquisition chip, a sampling current-limiting resistor, a high-voltage diode, a first cathode voltage-dividing sampling resistor, a total negative relay and a protection resistor which are sequentially connected in series, the high-voltage acquisition chip is connected in series with two ends of the sampling current-limiting resistor and then is connected in parallel with the second cathode voltage-dividing sampling resistor, a first end of the high-voltage acquisition chip is connected with a voltage end, a second end of the high-voltage acquisition chip is grounded, and the total negative relay is connected with a cathode of the battery pack. The state of the total negative relay is judged by arranging the high-voltage acquisition chip, the external impedance loop is cut off, and it is ensured that other total voltage acquisition loops of the battery pack cannot form a complete voltage division loop with an external circuit, so that some wrong fault judgment is avoided, the acquisition accuracy of the total voltage of the battery is improved, and the service life of the battery pack is prolonged. Therefore, the reliability of the battery system is improved and the cost is reduced.

The utility model discloses a sewage treatment settling pond float sludge collecting device which comprises two supporting tables, a travelling crane, a submersible pump, a funnel-shaped sludge skimming hopper, a frame and an industrial air blower, and the two ends of the travelling crane are arranged on the two supporting tables in a sliding mode respectively; the power of the submersible pump is 1.5 KW, and the water inlet end of the submersible pump is connected with the funnel-shaped mud skimming hopper; the frame is used for fixing the submersible pump and the mud skimming hopper, and the floating ball is arranged on the frame and used for controlling the horizontal position of the mud skimming hopper; the industrial air blower is 2KW in power, is fixed on one side of the bottom of the travelling crane and is used for blowing air to the water surface so as to blow the float sludge on the water surface to the float sludge collecting opening; therefore, the device drives the submersible pump, the mud skimming bucket and the industrial air blower to move through the travelling crane, the floating mud on the pool surface is comprehensively collected, the efficiency is high, the floating ball ensures that the mud skimming bucket is at the optimal collection height, the accuracy is improved, the linkage time control device automatically controls equipment according to the amount of the floating mud, energy is saved, the device is suitable for multiple working conditions, and the industrial air blower can better gather the floating mud.

The utility model discloses a voltage acquisition device and system. The device comprises a battery module and a data acquisition unit, the negative electrode of a first battery cell in the battery module is connected with the negative electrode of a first acquisition channel in the data acquisition unit through a first sampling line, and the positive electrode of the first battery cell is connected with the positive electrode of the first acquisition channel through a second sampling line, the other battery cells except the first battery cell in the battery module and the adjacent battery cells share one sampling line and are connected with an acquisition channel in the data acquisition unit, and the positive electrode of the last battery cell in the battery module is connected with the positive electrode of a target acquisition channel in the data acquisition unit through a target sampling line; and the acquisition channels in the data acquisition unit are connected through a switch device. According to the invention, the technical problems of troublesome operation process and inaccurate sampling due to the need of manually short-circuiting the sampling circuit between each section of single battery cell when the battery cell voltage is collected in the prior art are solved.

The present disclosure relates to a control method, device, medium and apparatus of a laundry treatment apparatus, the laundry treatment apparatus comprising a containing cavity and a humidity collecting module arranged in the containing cavity; the control method comprises: obtaining a humidity value based on the humidity collecting module; determining a water content rate of the laundry to be dried based on the humidity value; determining a drying time of the laundry to be dried based on the water content rate. In this way, by collecting the humidity value based on the humidity collecting module, and further determining the water content rate of the laundry to be dried based on the humidity value, and then determining the drying time of the laundry to be dried, the collection accuracy of the humidity value can be improved, so as to more accurately estimate the drying time, thereby improving the user experience.