761results about "Moisture content investigation using microwaves" patented technology

The invention relates to the technical field of water and soil conservation monitoring, and discloses a remote sensing image-based water and soil conservation monitoring method, which comprises the following steps of: 1, integrating optical, infrared and microwave remote sensing data, and constructing a soil information atlas; step 2, capturing soil humidity change in each season by using long-time-sequence data according to the soil information, and determining the influence of rainfall, snow melting and evaporation on the reflectivity; step 3, training data of each wave band through a deep neural network according to the influence information of the reflectivity; through an adaptive learning algorithm and a model parameter regular updating mechanism, the problem that in the prior art, characteristic spectrums of wet soil, vegetation and bare soil are overlapped due to seasonal changes is effectively solved, after the seasonal modulation factors are introduced, the system can accurately capture influences of natural factors such as rainfall, snow melting and evaporation on the soil reflectivity, and the soil reflectivity is improved. And model parameters are adaptively adjusted, so that the interference of reflectivity fluctuation on a monitoring result in wet and drought states is eliminated, and the stability of long-term monitoring is ensured.

The invention discloses a method for evaluating the influence of black land ecological barrier pattern evolution on agricultural climate and yield, and relates to the technical field of agricultural ecological environment monitoring and remote sensing model coupling. Comprising the following steps: S1, acquiring a high-resolution satellite image, microwave remote sensing earth surface humidity data, optical remote sensing vegetation coverage data and thermal infrared remote sensing earth surface temperature data of a target area; according to the method for evaluating the influence of the black land ecological barrier pattern evolution on the agricultural climate and the yield, the problem of lack of ecological-climate-agricultural system collaborative modeling in the traditional technology is solved. A high-resolution satellite image is used for analyzing a network topology structure of the protection forest, microwave and thermal infrared remote sensing are fused to invert'water, soil and gas generation 'multi-element parameters, and dynamic quantitative evaluation of ecological barrier spatial heterogeneity evolution on local climate and crop growth is realized in combination with a dynamic weight distribution and two-way nesting technology.

A disclosed leaky coaxial resonant sensor system and methods. In use, the system includes at least one split-ring resonator (SRR) embedded within a material of the component. The at least one SRR is formed from a composite material. Additionally, the at least one SRR is configured to resonate at a first frequency in response to an interrogation signal from a leaky coaxial cable antenna. In some aspects, each SRR may resonate at a first frequency in response to an electromagnetic ping when the composite material is in a first state, and may resonate at a second frequency in response to the electromagnetic ping when the composite material is in a second state. A resonant frequency of the composite material may be based on physical characteristics of the composite material.

The invention relates to the technical field of livestock breeding, in particular to a cow manure automatic scoring system and method.The cow manure automatic scoring system comprises an image acquisition unit, a physical property sensor, a chemical component detection module and a data processing unit.The image acquisition unit is used for capturing the form, color and fiber residue of manure; the physical property sensor is used for measuring the water content of excrement and evaluating the viscosity and hardness of the excrement; the chemical component detection module comprises a near infrared spectrum analysis unit and an electrochemical sensor unit; and the data processing unit is used for integrating an AI algorithm, realizing multi-source data fusion and scoring, and uploading the data to the cloud management platform through the communication module. Therefore, the problems that in the prior art, manual scoring is subjective, low in efficiency and difficult to quantify, diseases are difficult to find early due to the lack of rapid component detection means, and accurate nutrition regulation and control are difficult to achieve due to the fact that scoring data are difficult to integrate into a breeding system are solved.

The invention discloses an SAR (Synthetic Aperture Radar) soil surface water content inversion method and device based on deep learning, and the method comprises the steps: constructing a deep learning regression model for predicting the volume content of soil water through combining SAR data, auxiliary data and in-situ sensor data; a ConvNeXt model is adopted to construct a parallel convolution encoder to solve multi-source data with different input resolutions, and back scattering coefficients, spectral information, digital elevation model high-resolution data and soil sand content, sludge content, clay content and stacking density low-resolution data are fused into soil moisture estimation. And the inference capability of unknown data is improved. The model obtained by training can realize large-range and high-resolution automatic estimation of the water content of the soil surface layer. According to the invention, the influence of radiation transmission noise is avoided, the inversion precision of a vegetation coverage area is improved, and large-range high-resolution automatic processing of soil humidity products is realized.

The invention relates to the technical field of soil physical property detection, in particular to a soil moisture content intelligent monitoring control method and system, and the method comprises the steps: multi-modal sensor data collection: deploying a multi-modal sensor array in a to-be-detected soil area; interference compensation and correction; self-adaptive calibration is carried out; water phase state distinguishing and soil moisture content index calculation; 4, soil moisture content evaluation: comprehensively evaluating the actual water content, the effective water content, the soil moisture content index and the water phase state information obtained in the step 4, and setting different grade threshold values to obtain a soil moisture content evaluation result; and intelligent control decision and execution: taking the soil moisture content evaluation result as input, and generating a corresponding control decision. The intelligent monitoring and controlling system for the soil moisture content can monitor the soil moisture condition in real time and can improve the precision and efficiency of agricultural irrigation through intelligent compensation, calibration and decision optimization, and therefore the purposes of water saving and efficient crop management are achieved.

Methods, apparatus, and storage medium for providing real-time asphalt density and / or moisture content prediction with ground penetrating radar. A method includes using raw data from a ground penetrating radar sensing an asphalt concrete at a location; processing the raw data to obtain processed data; determining an asphalt density of the asphalt concrete at the location based on the processed data according to an asphalt density prediction model; determining a compaction status of the asphalt concrete at the location based on the asphalt density and a target compaction threshold; and outputting the compaction status of the asphalt concrete at the location to an operator for determining whether to continue or stop compacting the asphalt concrete at the location. In another method, moisture content for cold recycling and existing asphalt concrete pavement is predicted in real-time from using raw from data of ground penetrating radar mounted on a vehicle.

The invention discloses a soil water content inversion method and system based on L-band dual-polarization data and a medium, and belongs to the field of remote sensing technology and environment monitoring. The system comprises an SAR data acquisition module, an optical data processing module, a vegetation scattering separation module, an inversion model construction module, a spatial distribution calculation module and a risk assessment module, wherein the SAR data acquisition module is used for regularly acquiring L-band dual-polarized SAR data of a target area; the optical data processing module assists in identifying and separating vegetation scattering components by calculating vegetation indexes; the vegetation scattering separation module is used for extracting pure soil back scattering signals; the inversion model building module is used for training and optimizing a soil water content inversion model based on the pure soil back scattering signals and field sampling data; the spatial distribution calculation module is used for calculating a spatial distribution diagram of the surface soil water content of the target area; and the risk assessment module is used for carrying out landslide risk grade division and early warning management.

The invention provides a subsurface soil humidity inversion method and system based on a P-band radiometer, and the method comprises the steps: collecting observation data, carrying out the preprocessing of the observation data, and constructing initial parameters for a pre-configured dielectric hybrid model; calculating the relative dielectric constant of the soil and the soil emissivity of each incident angle; calling a pre-configured Chodhure module, and calculating to obtain the effective temperature of the soil; calculating by using a radiation transfer zero-order approximation model to obtain a simulated brightness temperature; the brightness temperature difference value between the original brightness temperature data and the simulated brightness temperature is calculated, a cost function is constructed, optimization parameters are obtained, and the weight of each angle in the cost function is dynamically adjusted and updated; and iteratively executing soil humidity inversion calculation to obtain an inverted soil humidity result. According to the method, the sensitivity to vegetation and surface roughness is reduced, and the soil humidity inversion precision is improved; and through dynamic weight adjustment and iterative optimization, the adaptability and flexibility of the model are ensured.

The present disclosure provides a protective enclosure for electronic systems. The enclosure comprises a polymer-containing matrix and a metamaterial incorporated into the matrix. The metamaterial is tuned to a specific permittivity or permeability to absorb or reflect a particular frequency. The protective enclosure may be used to create a safe inner environment for electronic components while facilitating uninterrupted wireless communications to / from the outer environment. Additionally, the protective enclosure may be used to protect against electromagnetic interference. In particular, shielding metamaterials are configured individually or in combination to specifically shield (via reflection, absorption, etc.) against relatively wide bands of electromagnetic frequencies, while transparent metamaterials are configured specifically to pass electromagnetic signals within narrow bands of frequencies. This new approach resolves and vastly improves current shield solutions, such as Faraday cages. For example, tuned metamaterials may be configured across a variety of preconfigured frequencies, and can be constructed of lightweight materials.

An RF-based material detection device includes an antenna connector, a first interchangeable antenna capable of being releasably coupled to the RF-based material detection device via the antenna connector, an RF transmitter unit operably connected to the antenna connector and configured to transmit an RF signal via the first interchangeable antenna into a first material at a specific resonance frequency for the first material, and an RF receiver unit operably connected to the antenna connector and configured to receive from the first material via the first interchangeable antenna a first modified signal in response to interaction of the RF signal with the first material, wherein the first interchangeable antenna includes one or more design characteristics optimized to detect the first modified signal from the first material.

The invention discloses a soil water content inversion method based on improved combination roughness, and relates to the field of remote sensing, and the method comprises the steps: synchronously obtaining a Sentinel-1 radar image and a Sentinel-2 optical image, and extracting different polarization backscattering coefficients, local incident angles and normalized water body indexes through preprocessing; the method comprises the following steps: generating a bare soil simulation backscattering coefficient data set, removing vegetation scattering contribution by using a water cloud model, obtaining a real bare soil backscattering coefficient, constructing a training set and a verification set containing actually measured soil water content, constructing a lookup table based on double models, and calculating the water content of the bare soil by minimizing a root-mean-square error between simulation and the real backscattering coefficient. Global search is carried out in a preset parameter space to determine an optimal earth surface root mean square height and a correlation length, a novel polynomial combination roughness is constructed, a physical correlation between the roughness and a backscattering coefficient is established, a dual-polarization empirical equation set is constructed, and simultaneous solution is carried out after parameters are optimized according to a criterion; according to the method, a more reasonable inversion result of the soil water content in a large range can be obtained.

An RF-based material detection device includes an antenna connector, a first interchangeable antenna capable of being releasably coupled to the RF-based material detection device via the antenna connector, an RF transmitter unit operably connected to the antenna connector and configured to transmit an RF signal via the first interchangeable antenna into a first material at a specific resonance frequency for the first material, and an RF receiver unit operably connected to the antenna connector and configured to receive from the first material via the first interchangeable antenna a first modified signal in response to interaction of the RF signal with the first material, wherein the first interchangeable antenna includes one or more design characteristics optimized to detect the first modified signal from the first material.

The invention relates to the technical field of lithium battery water content detection, in particular to a lithium battery water content detection method and system. The method comprises the following steps: acquiring a lithium battery surface thermal imaging image; carrying out temperature gradient distribution identification on the lithium battery surface thermal imaging image, and carrying out local distribution change sudden change detection to extract a temperature imbalance region and a temperature conventional region; carrying out optimal penetrating electromagnetic wave frequency calculation according to the temperature imbalance region and the temperature conventional region, carrying out a multi-band electromagnetic wave penetration test, and collecting electromagnetic reflection signals of the temperature imbalance region and the temperature conventional region; and performing multi-frequency-band reflection signal intensity calculation and region-by-region comprehensive reflection characteristic mining on the electromagnetic reflection signal to obtain a temperature imbalance region signal reflection characteristic and a temperature conventional region signal reflection characteristic. According to the invention, efficient and accurate lithium battery water content detection is realized.

To improve a technique of remotely measuring the moisture content of a soil by using measurement data with a GNSS.SOLUTION: A information processing device 20 includes a control unit 21 for acquiring height information indicating the height of an antenna 10 receiving a satellite signal transmitted from a satellite, and signal information indicating the signal-to-noise ratio of a received signal including the satellite signal and a reflection signal generated by the reflection of the satellite signal in the soil of the ground where the antenna is set, received by the antenna, estimating a penetration depth representing the depth to which the satellite signal penetrated into the soil before the reflection signal is generated, on the basis of the acquired height information and signal information; and calculating the water content of the soil by using the obtained estimated value of the penetration depth.SELECTED DRAWING: Figure 1

The invention relates to an underground pipe network leakage position monitoring method and device, a computer program product and electronic equipment, and belongs to the field of remote sensing monitoring. According to the method, the underground pipe network leakage position in a large-area range of a city is detected by utilizing a remote sensing means. The monitoring method provided by the invention comprises the following steps: determining a bare soil backscattering coefficient of a to-be-monitored area; inputting the bare soil backscattering coefficient into a target soil moisture identification model, and determining the soil mass moisture content of the to-be-monitored area through the target soil moisture identification model; and comparing the soil mass water content of the to-be-monitored area with the leakage soil mass water content threshold value of the to-be-monitored area, and determining the leakage point of the pipeline in the to-be-monitored area. The monitoring method provided by the invention is low in cost, low in manufacturing cost and small in loss, and has the advantages of rapid, lossless and automatic detection of the leakage position point of the pipe network in a large-area range.

The invention relates to the field of measurement, in particular to an intelligent concrete aggregate moisture content rapid determinator, which comprises a signal transmitting and receiving module, which transmits electromagnetic waves at a series of set frequencies and collects reflection signals at each frequency; the signal processing module is used for carrying out signal processing on the collected reflected signals; and the dielectric constant calculation module is used for calculating the dielectric constant of the measured medium under each frequency according to the signal characteristic parameter and the relationship between the signal and the dielectric constant of the medium. The method has the advantages that the water content of the concrete aggregate can be continuously and rapidly measured, the damage degree to the concrete aggregate is small, a hardware circuit is simple, and the cost of corresponding measuring equipment is low. Compared with other various methods for measuring the water content of the concrete aggregate, the method has the advantages that portability is achieved, and the FDR has obvious advantages from the comprehensive characteristics of accuracy, continuity, equipment cost and the like.

The invention provides a gravel water content detection method and system of a combined model under data fusion, and relates to the technical field of gravel water content detection. The method comprises the following steps: acquiring related detection data, preprocessing, combining MIC and GRA for correlation analysis, inputting the fused data to construct a BWO-RF detection model, obtaining first analysis data, obtaining second analysis data by using a DNN model, and superposing the first analysis data and the second analysis data to obtain the final moisture content. According to the method, the data quality and consistency are ensured, model optimization is carried out, and the random forest is optimized through the BWO algorithm, so that the model prediction capability is improved; dNN is used for error correction, the final prediction accuracy is improved, multiple methods and models are combined, and through multi-level data processing and optimization, the accuracy of the detection result of the water content of the sandstone is improved, and the detection speed of the water content of the sandstone is greatly increased.

The invention belongs to the technical field of engineering material detection, and particularly discloses an asphalt mixture dynamic water stability comprehensive detection system which comprises a standard test piece preparation module, a dynamic load loading module, a diffusion behavior analysis module, a sealing failure verification module and a water stability evaluation module. A detection area is limited through closed sealing treatment, a staged progressive increase dynamic load is applied to simulate an actual working condition, a three-dimensional moisture diffusion map is constructed to analyze diffusion behavior parameters, and a dynamic water stability grade evaluation result is generated in combination with an intelligent matching algorithm. According to the method, edge water seepage interference can be effectively avoided, the moisture diffusion process is accurately monitored, the performance of the asphalt mixture is comprehensively evaluated, and a scientific basis is provided for pavement structure design and material optimization.

The invention relates to the technical field of carbon flux monitoring, and particularly discloses a carbon flux monitoring method and system based on soil drought remote sensing data, and the method comprises the steps: respectively collecting soil humidity remote sensing data and a soil vegetation coverage remote sensing image through a microwave sensor and an optical remote sensing sensor; performing resampling on the soil humidity remote sensing data and the soil vegetation coverage remote sensing image to realize spatial resolution alignment, and performing spatial distribution feature extraction on the soil humidity remote sensing data and the soil vegetation coverage remote sensing image after spatial alignment by adopting a deep learning algorithm; and pixel-level significance enhancement and fusion processing are carried out on the captured soil humidity distribution characteristics and vegetation distribution characteristics, so that nonlinear modeling of a dynamic influence mechanism of the soil drought degree on the vegetation growth state is realized, and intelligent estimation of the carbon flux is realized on the basis. In this way, the nonlinear regulation and control effect of soil drought stress on vegetation respiration and photosynthesis can be effectively described, and the efficiency and coverage range of carbon flux monitoring are improved.

A detection method and device for predicting railway mud swells and mud leaks, comprising: step 1, obtaining a railway subgrade filling coefficient, a cyclic loading coefficient, and a radar detection coefficient; step 2, calculating a railway mud swell and mud leak risk value based on the subgrade filling coefficient, the cyclic loading coefficient, and the radar detection coefficient; and step 3, setting a risk value threshold, comparing the mud swell and mud leak risk value with the risk value threshold, and predicting the occurrence of mud swell and mud leaks when the mud swell and mud leak risk value is greater than or equal to the threshold. The present invention not only improves the accuracy of subgrade geological radar detection but also comprehensively considers subgrade filling and cyclic loading. Compared to existing technologies, the present invention comprehensively considers the three necessary conditions for mud swell and mud leaks, quantitatively and comprehensively predicting railway subgrade mud swell and mud leaks, meeting the requirements of resource conservation and quality and safety engineering construction.

The invention discloses a moisture content measuring system and method based on a flexible conformal antenna sensor. Amplitude attenuation and phase deviation can occur when a microwave signal is propagated in a fluid to be measured, amplitude attenuation and phase deviation values are related to the dielectric constant of the fluid to be measured, and the dielectric constant of water at normal temperature is about 78 and is greatly different from the dielectric constant of oil or air. According to the invention, the moisture content information can be obtained by detecting the amplitude attenuation and the phase deviation value under the fixed frequency point. According to the invention, 0-100% full-scale moisture content measurement can be realized. The flexible conformal antenna sensor breaks through the fixed mode that the convex surface of a traditional conformal antenna radiates outwards, the design that the circular patch is embedded in the concave surface is adopted, the direction of a main wave beam is centripetally focused in the radial direction of a pipeline, directional radiation of electromagnetic waves to a to-be-detected fluid pipeline area is achieved, and the energy coupling efficiency between the electromagnetic waves and fluid is improved; and the dielectric property change of the whole watershed of the fluid is detected.

A measuring apparatus for a concrete structure includes an eddy current sensor configured to contact the concrete structure; a ground penetrating radar (GPR) sensor configured to contact the concrete structure; at least one memory storing one or more instructions; and a controller operably connected to the eddy current sensor, the GPR sensor, and the at least one memory, wherein the one or more instructions, when executed by the controller, cause the apparatus to: provide a first input signal to the eddy current sensor and a second input signal to the GPR sensor, obtain a first moisture content of a portion of the concrete structure based on an output of the eddy current sensor, obtain a second moisture content of the portion of the concrete structure based on an output of the GPR sensor, and obtain a final moisture content of the portion of the concrete structure based on at least one of the first moisture content and the second moisture content.

The invention belongs to the technical field of road engineering roadbed nondestructive testing, discloses a roadbed humidity nondestructive testing method based on wireless radio frequency signal multi-parameter inversion, and aims to solve the problems that a traditional roadbed humidity testing method is destructive, low in efficiency and discontinuous in monitoring or detection parameters are easily interfered. The method specifically comprises the following steps of: firstly, embedding an RFID tag and acquiring an on-site received signal strength indication value; then establishing a relation model of the received signal strength indication value and the roadbed moisture content, and extracting characteristic parameters only influenced by the moisture content; then, constructing a neural network model, taking the extracted characteristic parameters as input, and utilizing field data to train the model to invert the roadbed moisture content; and finally, the spatial distribution of the moisture content of the roadbed is obtained by combining the distribution of the test points and the roadbed structure information, so that the efficient, non-contact and continuous monitoring of the humidity state of the roadbed is realized.

The invention discloses a quantitative evaluation method for the internal pressure drop stability of a filter stick, which comprises the following steps of: 1, acquiring batch detection data of weight, circumference and length of a single filter stick of a certain mark, and theoretically calculating the average density of the single filter stick; 2, sorting is conducted according to the average density of the filter sticks, physical indexes of the sorted filter sticks are obtained, sorted data are grouped, and the density and the pressure drop average value of each group of filter sticks are taken at intervals; 3, constructing a filter stick density-pressure drop correlation mathematical model; 4, detecting the density of the filter stick by adopting a microwave moisture density measuring instrument, and theoretically calculating the range of the average density of each section of the filter stick according to the actual slitting times of the filter stick; and 5, quantitatively evaluating the stability of the internal pressure drop of the filter stick by using the filter stick density-pressure drop related mathematical model. The method provides theoretical support for evaluating the pressure drop stability of the cut filter stick, and has important guiding significance for controlling the production process of the filter stick and stably improving the quality of cigarettes.

According to the rapid detection device for the water content of the oil and the calibration method thereof, the water content of the oil is rapidly detected through a microwave method, and the characteristic speed is high; self-calibration is carried out on the microwave method by utilizing a high-precision spectrum method, so that the water content can be measured at high precision through the spectrum absorption effect of gas after the water of the measured liquid is fully evaporated; the two methods are combined, a microwave method test result is calibrated according to an infrared spectroscopy test result, a formation correction coefficient of the microwave method result capable of being rapidly measured is formed, and the rapid detection method is formed by giving play to the advantage of rapid response of the microwave method.

The invention discloses a soil humidity inversion method and device, a medium and equipment, and relates to the technical field of microwave remote sensing inversion. According to the method, the total backscattering coefficient, the normalized vegetation index, the leaf area index and the average leaf inclination angle of the electromagnetic waves of the target area pixel by pixel are obtained in combination with microwave remote sensing data and atmospheric apparent reflectance data of the target area; according to the normalized vegetation index, the leaf area index and the average leaf inclination angle, spatial clustering is carried out on vegetation, spatial heterogeneity of crop types is captured, and then based on the constraint that the surface roughness parameters and the vegetation parameters of the same vegetation type are the same and the soil humidity in the same surface space window is the same, the spatial heterogeneity of crop types is obtained. Through two-stage iteration inversion of the intra-class scale and the ground surface space window scale, the time dynamic state is adapted, the parameter calibration function of the in-situ soil humidity data is replaced, and the model parameters and the soil humidity can be determined without the in-situ soil humidity data. According to the invention, the accuracy and reliability of the soil humidity inversion method are improved.

The invention relates to the technical field of ground surface matrix monitoring, and provides a portable multi-parameter ground surface matrix tester which comprises a shell; the mobile control interface is arranged above the shell and is used for being connected with external mobile equipment and controlling the portable multi-parameter earth surface matrix tester to enter a stratum exploration hole channel in a 360-degree rotation manner; the sensor module is arranged at the lower end of the shell and used for measuring physical and chemical parameters; the image detection module is arranged at the lower end of the shell and used for collecting image information of the stratum exploration hole channel in the rotating process and generating corresponding microscopic detection information; the visual auxiliary module is connected with the shell and is used for observing the microstructure and fracture distribution of the inner wall of the stratum exploration pore channel in real time and generating auxiliary detection information; and the control module is integrated in the shell and is used for determining the insertion position and angle of the portable multi-parameter earth surface matrix tester entering the bottom of the stratum exploration pore channel and generating an earth surface matrix three-dimensional distribution diagram of the stratum exploration pore channel.

The invention discloses a building exterior wall water seepage detection device, and belongs to the technical field of building wall detection.The building exterior wall water seepage detection device comprises a to-be-detected wall, support mechanisms are placed on the two sides of the front end face of the to-be-detected wall, and an auxiliary supporting mechanism is installed between the two support mechanisms; a movable adjusting mechanism is installed on the auxiliary supporting mechanism, a detection mechanism is installed between the auxiliary supporting mechanism and the movable adjusting mechanism, and a detection driving mechanism is installed on the two support mechanisms. By designing the support mechanism, the auxiliary supporting mechanism, the movement adjusting mechanism and the detection driving mechanism, the height of the splicing device is determined according to the range during use, detection can be conducted according to walls of different areas, the application range of the device is widened, and the whole device can complete rapid splicing and is extremely convenient to transport after being disassembled.

The invention relates to the technical field of metering devices, and provides a multi-well type metering device which comprises a well selection switching mechanism, a metering mechanism, a liquid discharge pipe and a microwave detection mechanism used for detecting the water content of crude oil. The well selection switching mechanism comprises a plurality of single-well oil pipes connected with wells, a distribution barrel connected with the single-well oil pipes and a valve seat arranged in the distribution barrel and fixedly connected with the distribution barrel, a plurality of circulating openings are formed in the valve seat in a circumferential mode, and the interiors of the single-well oil pipes communicate with the interiors of the corresponding circulating openings correspondingly. A well selection pipe communicating with the interior of the circulation opening is rotationally connected to the interior of the distribution cylinder, the side face of the well selection pipe abuts against the side face of the valve seat, one side of the well selection pipe is connected with a rotating motor, the rotating motor is fixed to the side face of the distribution cylinder, and the other side of the well selection pipe is connected with an oil conveying pipeline. The problem that in the prior art, a metering device can only measure a single well is solved, and the problem that when the water content is detected, workers need to run to multiple directions for sampling is solved.