4104results about "Lubrication indication devices" patented technology

The invention relates to the technical field of liquid level detection, in particular to a scrubber sewage tank water level detection system and method based on a liquid level sensor, and the system comprises a sensing data acquisition module, a liquid level signal conversion module, a multi-source numerical value comparison module, a liquid level fluctuation recognition module and an alarm action linkage module. According to the invention, through acquisition of a sensor capacitance change sequence, elimination of abnormal fluctuation, construction of a stable reference curve, enhancement of data immunity, mapping of a liquid level section based on an average capacitance value, accurate identification of liquid level elevation is realized, synchronous comparison of liquid level state information in various communication protocols is realized, and data consistency and reliability are improved. A liquid level fluctuation boundary is accumulatively recognized through trend direction change, a change section is dynamically marked, alarm triggering is based on boundary area and state mark double verification, warning response accuracy and effectiveness are enhanced, and a high-precision and high-stability liquid level detection and early warning system is constructed.

The invention discloses an unmanned aerial vehicle inspection method and system applied to foundation pit accumulated water monitoring, and the method comprises the steps: determining an optimal route node sequence, and generating an unmanned aerial vehicle control instruction set; acquiring internal and external parameters of a multi-source sensor, and performing time alignment compensation on image frames and sensor data; acquiring a ponding area image coordinate set and attribute data; a three-dimensional projection point set of the ponding area is obtained, and the real coverage area of the ponding area is calculated; generating a three-dimensional overview map of the foundation pit by using the multi-view image of the foundation pit area; determining a three-dimensional coordinate point set and an area estimation result of the ponding area; and projecting the three-dimensional coordinate point set of the ponding area to the three-dimensional overview map of the foundation pit to generate a hidden danger monitoring report. By integrating the unmanned aerial vehicle, the sensor data and the advanced image processing technology, the accuracy, stability and visualization effect of foundation pit accumulated water monitoring are greatly improved, more reliable and comprehensive technical support is provided for safety management of foundation pit engineering, and the safety risk in the construction process is remarkably reduced.

The invention discloses a multi-channel high-precision water level dynamic real-time monitoring system for a drilling water pumping test, and the system comprises a sensing layer which is used for deploying a multi-source sensor array, inhibiting interference through distributed layout and electromagnetic shielding, collecting multi-dimensional data in real time, and carrying out the preliminary filtering; according to the transmission layer, an optical fiber and twisted pair redundant network is constructed, an EtherCAT protocol is adopted for low-delay transmission, AES-128 encryption tampering prevention is integrated, and edge nodes compress data and verify integrity; the processing layer is used for carrying out real-time preprocessing on edge calculation and switching a standby sensor in abnormal detection; the cloud end predicts the water level trend through Spark Streaming analysis and an LSTM model, distinguishes interference through a random forest algorithm, and outputs calibration data and an analysis report; the application layer is used for constructing a three-dimensional drilling model based on Unity, dynamically displaying water level changes, synchronizing a multi-parameter curve and supporting historical backtracking; the early warning module notifies abnormity through sound and light and short messages, the decision module generates a report and supports multi-drill-hole comparison, and the test strategy is optimized.

The invention discloses an oil storage tank oil-water interface measurement system and method and a storage medium, and relates to the technical field of oil-water interface measurement, and the system comprises a data acquisition module, a data processing module, a decision support module and a data security module. According to the oil-water interface measuring system and method for the oil storage tank and the storage medium, a three-dimensional sensing network (distributed sensor network) is constructed by adopting a pressure sensor array and phased array ultrasonic scanning technology and combining dielectric property detection of a microwave dielectric constant sensor; the pressure, the dielectric constant, the liquid level and the vibration data in the tank body are obtained, basic data are provided for subsequent processing, the comprehensiveness of data obtaining can be improved through the sensing network, the pressure data are dynamically calibrated through Takagi-Sugeno fuzzy logic, the influence of temperature drift is effectively eliminated, and the accuracy of data obtaining is improved. The ultrasonic signals are subjected to feature enhancement through the generative adversarial network, and the emulsion layer boundary is accurately recognized.

The invention discloses a hydropower station water level detection method and system. The method comprises the steps that an original water flow characteristic parameter set is obtained through multiple sets of Doppler effect radar flow measuring devices; performing segmentation extraction to obtain a water flow feature sub-data set; inputting a Transform network coding layer to generate a water flow feature coding vector; outputting a preliminary water level predicted value sequence through a decoding layer; a radar flow measurement model is called for correction to obtain a correction sequence; time sequence integration is carried out to obtain a water level change curve. The system comprises a multi-source Doppler radar signal acquisition unit, a spatial-temporal feature segmentation extraction unit, a Transform coding processing unit, a water level preliminary prediction unit, a radar model correction unit and a time sequence integration output unit. According to the method and system, multi-source parameters are deeply fused, the environmental adaptability is improved, the continuity and reliability of a detection result are enhanced, the water level of the hydropower station can be accurately monitored, and support is provided for scheduling decision and safety prevention and control.

The invention discloses a radar wave measurement method and system for the liquid level of a storage tank, and relates to the technical field of liquid level measurement. The radar wave measurement method for the liquid level of the storage tank comprises the following steps: acquiring radar echo signal data of the storage tank in a set measurement period, and preprocessing the radar echo signal data; based on a pre-trained liquid level identification deep learning model, performing prediction analysis on the radar echo signal data to obtain a liquid level feature set of the storage tank; and acquiring liquid level control parameters of the storage tank, analyzing liquid level control driving indexes of the storage tank in combination with the corresponding liquid level feature set, and controlling the start-stop state of a water pump of the storage tank based on the liquid level control driving indexes. Multi-dimensional modeling is carried out on radar echo signal data in a continuous time period, the limitation that a traditional liquid level measurement method depends on echo signals at a single moment to carry out height judgment is broken through, and the method is particularly suitable for industrial liquid level monitoring requirements with high disturbance and high precision requirements.

The invention relates to the technical field of transformer oil level monitoring, in particular to a transformer oil level on-line monitoring method, system and device, and the method comprises the steps: collecting the oil level and oil temperature in a transformer expansion tank at each moment, and the inclination angle of oil level collection equipment in each axial direction of a three-dimensional coordinate system at each moment; obtaining each abnormal oil level in the oil level data of the current moment and all moments before the current moment; determining a trend characteristic value of each abnormal oil level; acquiring an inclination characteristic value of each axial direction at a moment corresponding to each abnormal oil level; obtaining the non-noise confidence coefficient of each abnormal oil level, obtaining noise data in all abnormal oil levels, and denoising the noise data by using a digital filtering algorithm; and on the basis of the inclination angles of all the axial directions at all the moments, compensating and correcting the oil levels at all the moments after denoising processing. Therefore, the authenticity and accuracy of final oil level data monitoring are improved.

The invention provides a coastal water level prediction method based on multi-modal observation data, and belongs to the technical field of coastal water level prediction.The coastal water level prediction method comprises the steps that multi-modal ocean observation data of different sensors are collected, and a multi-scale space-time registration matrix is established to achieve space-time alignment of heterogeneous data; an ocean dynamic process feature extractor is constructed to recognize astronomical storm surge and wave features and calculate nonlinear coupling parameters, an adaptive space-time fusion algorithm is adopted to dynamically adjust weights according to data quality to generate a space-time consistency data set, and an ocean dynamic coupling strength discrimination model is established to determine a modeling strategy. And finally generating a coastal water level prediction product containing a predicted value confidence interval and risk early warning. The technical problem of insufficient coastal water level prediction precision caused by difficult effective fusion of multi-modal ocean observation data under the condition of spatial-temporal scale mismatching is solved.

The utility model relates to the technical field of hydraulic engineering monitoring, in particular to a water level monitoring device for water resource management, which comprises a stand column, a signal box and a solar cell panel are fixedly connected to the surface and the top end of the stand column, and an adjusting mechanism comprises a first supporting rod hinged to the surface of the stand column. An electric push rod is fixedly connected to the inner wall of the bottom end of the stand column, a sliding groove is formed in the surface of the stand column, and a connecting block is slidably connected into the sliding groove; when the ultrasonic sensor needs to be maintained, the first supporting rod can be directly pulled to rotate through the electric push rod, so that the ultrasonic sensor moves towards the shore while descending, and a worker can conveniently maintain the ultrasonic sensor; the height and the distance between the ultrasonic sensor and the water area to be monitored can be randomly adjusted according to the environment, so that the monitoring data is more practical and more stable.

The invention relates to a calibration device (5) for calibrating radar-based level measuring devices (1) or their high-frequency module. For this purpose, the device (5) is based on a base body (51). A waveguide (52) runs within a planar plane (A) in this base body. The waveguide (52) is characterized by an input region (521), a coupling region for radar signals (S). HF , R HF ) reflective end region (522), and calibration section running between it (d kal ) out. According to the invention, the waveguide (52) or the calibration section (d) is kal ) are formed in a spirally nested configuration. This results in a spirally nested structure in relation to the length of the calibration section (d). kal ) or of the waveguide (52) achieves a very compact design, so that the calibration device (5) can also be used for recalibrations at the place of use of the level measuring device (1).

The invention discloses a current transformer oil level monitoring system based on ultrasonic echo detection, which relates to the technical field of electric power monitoring and comprises the following steps: acquiring original echo time sequence data; calculating the distance between the transmitting end and the top of the metal expander by combining the propagation velocity of the ultrasonic waves in the air; and when the oil level height value is lower than a set threshold value, an alarm signal is triggered. According to the invention, the problems of easy clamping stagnation, complex installation, large temperature drift and environmental interference and the like of the traditional float-type, pressure-type and window observation methods are effectively overcome, remote uploading and local acousto-optic prompt are supported, and intelligent inspection and fault pre-warning identification under unattended operation are realized; and the operation safety, the monitoring reliability and the operation and maintenance intelligent level of the oil-immersed current transformer are remarkably improved.

The invention relates to the technical field of detection, particularly discloses an ultrasonic guided wave non-contact accurate liquid level measurement method for a high-temperature closed container, and aims at solving the problems that in the prior art, measurement precision is low and interference is prone to occurring in a high-temperature environment. Effective signals are extracted through a self-adaptive interference suppression algorithm, the liquid level is calculated through multi-source data fusion, and an intelligent calibration and self-diagnosis system and a machine learning prediction model are arranged. Experiments show that the measurement error of the method can be controlled within + / -3cm, and the method is remarkably superior to a traditional method and is suitable for accurate liquid level measurement of high-temperature closed containers in the industries of chemical engineering, electric power and the like.

The invention discloses a construction method for constructing a deep foundation pit by using an existing structure, and relates to the technical field of foundation pit construction.The construction method comprises the steps that the existing enclosure structure is positioned, a crown beam of the existing enclosure structure is chiseled away after excavation, and a fender post design scheme is confirmed; small-diameter secant piles are constructed according to the fender post design scheme, and a newly-built fender post is formed; the joint of the newly-built enclosure structure and the existing enclosure structure is reinforced; the crown beam is constructed, and the newly-built enclosure structure and the existing enclosure structure are connected; according to the excavation process, the defect position of the enclosure structure is reinforced; establishing and training a correlation model based on the water level data and the deformation data to obtain a water level deformation correlation model; and according to the real-time water level change, performing defect prediction and early warning on the enclosure structure in combination with the water level deformation correlation model, and reinforcing the defects of the enclosure structure. According to the method, the occupied area of the enclosure structure is reduced, the existing enclosure piles are repaired, and the defects of the enclosure structure can be accurately found and reinforced.

Provided is a level meter that facilitates communication with an external device. The level meter includes a level determination unit and a WEB server. The level determination unit determines a level of a medium in the container. The level meter includes a WEB server that provides a monitor WEB screen showing the level determined by the level determination unit.

The invention relates to the technical field of anti-dry-burning liquid level monitoring, in particular to an anti-dry-burning liquid level monitoring control system based on a PCB capacitance sensing circuit, in the anti-dry-burning liquid level monitoring control system based on the PCB capacitance sensing circuit, a signal preprocessing module adopts self-adaptive filtering to dynamically suppress noise interference in an original capacitance signal, and a reliable preprocessing signal is generated; the boiling state recognition module decomposes the signal into a steady state component and a transient state component, judges the boiling state according to the matching degree of the transient state component and a boiling feature library, and outputs a freezing instruction to maintain operation when the matching degree is high, so that mistaken shutdown is avoided; meanwhile, in combination with the judgment that the steady-state component is continuously lower than the warning line, a trigger instruction is output when the matching degree is low, and the real dry burning risk is accurately captured; the intelligent execution module responds instantly according to the instruction, guarantees continuous operation of equipment during freezing, executes power cut-off and sound-light alarm during triggering, and eliminates the potential safety hazard of dry burning; according to the process, accurate distinguishing between boiling interference and real dry burning is achieved, and equipment safety and operation continuity are synchronously optimized.

The present application relates to the technical field of water conservancy and hydropower engineering, and particularly relates to a leakage early warning system for water plant activated carbon pool construction, comprising: a sample test module; a pouring early warning module configured to determine the leakage risk level of the concrete for water plant activated carbon pool construction according to the impermeability characteristic value, and determine the corresponding strategy according to the leakage risk level; a water injection test module comprising a water level detection unit configured to monitor the real-time water level of the activated carbon pool at a preset monitoring period, and an infrared detection unit configured to obtain the infrared image of the outer wall of the activated carbon pool; and a secondary determination module configured to determine whether the construction of the activated carbon pool meets the preset standard according to the water level change rate on the condition that the construction of the activated carbon pool does not meet the preset standard according to the wetness characteristic value of the outer wall of the activated carbon pool. The present application improves the construction efficiency of the water plant activated carbon pool.

The invention belongs to the technical field of laser radars, and discloses a water surface reflected light suppression method and system in laser radar water level measurement, and the method comprises the steps: employing a multispectral fusion and dynamic polarization modulation technology, precisely filtering the interference of water surface reflected light, matching with a time-frequency domain combined filtering algorithm, and deeply analyzing signal features. An intelligent environment sensing mechanism monitors environment changes in real time, a machine learning model accurately predicts the trend of reflected light, system parameters such as laser transmitting power and receiving end gain are adjusted in advance, measurement errors are reduced, the water level measurement precision of the laser radar is greatly improved, and the water level measurement precision of the laser radar is greatly improved. The system reliability and stability are remarkably enhanced, the scheme is excellent in performance under severe conditions such as strong light by means of the capability of dynamically adapting to complex environment changes, the modular design of the system facilitates integration with an existing laser radar system, expansibility and compatibility are good, and the system can quickly adapt to equipment of different specifications and models.

The invention relates to the technical field of drainage pipe network operation and maintenance, and discloses a drainage pipe network sludge sounding method and device and electronic equipment, and the method comprises the steps: obtaining strain data and inertia measurement data at different moments, which are collected in a process that the drainage pipe network sludge sounding device is lowered to the bottom of a pipe network from an inlet of the pipe network; identifying time points when the drainage pipe network sludge sounding device enters different interfaces according to the strain data, wherein the interfaces comprise an air-water body interface, a water body-sludge interface and a sludge-bottom interface; determining vertical depth values of the different interfaces according to the time points when the drainage pipe network sludge sounding device enters the different interfaces and the inertial measurement data corresponding to the time points respectively; and calculating a sludge depth value and a liquid level depth value based on the vertical depth value corresponding to each interface. According to the invention, the sludge depth of the pipeline can be rapidly and accurately measured under complex well conditions.

A method of monitoring a condition prevailing inside a piping system with respect to an impairment due to accretion, abrasion or corrosion caused by fluid(s) flowing through the piping system is disclosed, comprising the steps of: installing at least two measurement devices susceptible to an impairment and configured to measure variables indicative of the impairment; wherein the measured variables include at least two variables exhibiting a different dependency on the impairment; continuously recording data including time series of measured values of the variables measured; based on training data included in the data determining a dynamic reference behavior of the variables corresponding to time dependent distributions of values of the variables to be expected of the measured values when the measurement devices are unimpaired; repeatedly determining a deviation between a monitored behavior of the measured values of the variables and the reference behavior.

The invention relates to the technical field of data processing, and discloses a drainage pipe network rain and sewage mixed connection tracing and spatial positioning method for a micro monitoring station network, which comprises the following steps: defining an upstream convergence pipe network range of each micro monitoring station according to a flow direction connection relationship of a drainage pipe network and layout nodes of the micro monitoring stations, establishing a unique mapping relation library between each pipe section and the corresponding multi-stage monitoring topological sequence; obtaining water quality and water level data of a monitoring station, intercepting an analysis time period, and identifying a target monitoring topological sequence which generates a response currently in the mapping relation library based on a time-space propagation association attribute of data between stations; locking an isomorphic mapping candidate pipe section set corresponding to the sequence, and constructing a pollutant source emission inversion model of each candidate pipe section according to a pipe network fluid transport diffusion mechanism; and calculating the fitting deviation degree of the source hypothesis of each candidate pipe section to the monitoring data by using the model, and selecting the pipe section with the minimum deviation degree as a positioning result.

The invention relates to the technical field of environment monitoring, in particular to a wetland ecological monitoring method based on multi-source heterogeneous data fusion, which comprises the following steps of: acquiring a water level vegetation water quality multi-source sequence, generating a multi-source wetland monitoring data set through wavelet transform alignment, calculating water level and vegetation water quality response time lag to obtain a water power driving coefficient, and calculating the water power driving coefficient; the method comprises the following steps: performing frequency domain alignment on multi-source monitoring data, distributing weights to obtain ecological response intensity, calculating energy flow offset, performing tensor decomposition to obtain causal weight, screening high values to construct a wetland ecological causal chain network, and performing sorting to select first three leading chains to extract parameter intervals to generate wetland ecological monitoring and early warning information. The method solves the problems of data discretization and time sequence mismatch, calculates a response time lag and weighted optimization coupling relation, improves the dynamic response precision, identifies a causal path based on energy flow offset and tensor decomposition, quantifies the intensity, constructs a dominant causal chain, and achieves the directional early warning and dynamic evaluation of wetland ecology.

The invention provides a mud tank liquid level height accurate measurement early warning system and method, the mud tank liquid level height accurate measurement early warning system comprises a measurement support and a control unit comprising a main processor, and the control unit is further connected with a plurality of liquid level detection assemblies, a temperature compensation module, a stirring assembly, an early warning device, a data storage unit and a calibration assembly. The multiple liquid level detection assemblies comprise laser and ultrasonic range finders, the main processor receives detection signals and then corrects the liquid level height in combination with temperature compensation, early warning is started when the liquid level height is abnormal, the detection precision can be calibrated periodically through the calibration assembly, and meanwhile remote data transmission and historical data storage are supported. The method solves the problems that traditional measurement is low in precision, depends on manpower and is delayed in early warning, and is suitable for monitoring the liquid level of the mud tank in various drilling operations.

The invention relates to the field of liquid level monitoring, in particular to a liquid level monitoring method and system for an expansion water tank. The method comprises the following steps: acquiring an acceleration sequence of the expansion tank and liquid level sequences at different preset positions, obtaining a center frequency of a target sequence, and constructing a center frequency sequence of all the liquid level sequences; a target window sequence is obtained, the liquid level change rate at any sampling moment is calculated, a change rate sequence is constructed, and the confidence weight is calculated according to the change rate sequence and the acceleration sequence; calculating a fusion liquid level value of the target window sequence; traversing different center frequencies to obtain a plurality of fusion liquid level values corresponding to any liquid level sequence, and taking a mean value of all the fusion liquid level values as a marked liquid level value of any liquid level sequence; and monitoring the liquid level of the expansion water tank according to the obtained comprehensive liquid level value. According to the technical scheme, the precision of the liquid level monitoring result can be improved.

The invention provides a capacitive liquid level meter error compensation method, system, equipment and medium, and relates to the technical field of industrial automatic measurement, and the method comprises the following steps: collecting multi-source data of a capacitive liquid level meter in real time, the multi-source data comprising an original capacitance signal of the capacitive liquid level meter and environmental condition data of an auxiliary sensor; performing preprocessing and feature calculation on the multi-source data to obtain fluid mechanics parameters; constructing a deep learning model by taking the multi-source data and the fluid mechanics parameters as input and taking the actual liquid level height of the capacitive liquid level meter as an output target; and actual capacitance signals and environment working condition data of the capacitive liquid level meter are collected in real time, the actual capacitance signals and the environment working condition data are input into the deep learning model, and the compensated actual liquid level height is obtained. The problem that an existing capacitive liquid level meter is insufficient in measurement precision under complex working conditions is solved, and the measurement precision and robustness of the capacitive liquid level meter are remarkably improved.

The invention relates to the technical field of oil level monitoring, in particular to a transformer oil level monitoring device and system based on dual-mode ultrasonic sensing. The method comprises the following steps: acquiring transformer oil level and vibration acceleration; threshold value differences are obtained through oil level comparison, and the oil levels are divided; based on different types of oil level fluctuations, quantities and intervals, oil level anomaly comprehensive indexes are obtained; after the over-limit oil level is screened, an oil level abnormal factor is determined, and an oil level abnormal value is obtained in combination with the oil level abnormal comprehensive index; determining a change moment and a reaction time range based on the vibration acceleration; an acceleration oil level influence factor is determined by analyzing correlation, and a fault characteristic value is obtained in combination with an interference factor; and monitoring the oil level through the fault characteristic value. The reliability of the whole monitoring system is improved.

The invention is applicable to the technical field of underground water level monitoring and sampling, and provides an underground water level monitoring and sampling device for hydraulic engineering, which comprises a base, the base is rotatably connected with a plurality of adjustable supporting assemblies for supporting and limiting, the upper end face of the base is provided with a winding mechanism, and the winding mechanism is wound with a pull rope. A sampling barrel is fixedly arranged at one end of the pull rope, the winding mechanism is connected with a movable limiting assembly, and the movable limiting assembly can limit the pull rope in the horizontal direction; the device further comprises a falling speed optimization system which can regulate and control the falling speed of the sampling barrel. Under the interference of multiple factors such as wind speed sudden change, underground water flow velocity fluctuation and pull rope elasticity mismatching, the rotating speed of the winding mechanism can be dynamically adjusted, sampling barrel swinging and track deviation are restrained, meanwhile, mechanical damage caused by sudden change of the rotating speed is avoided, and the sampling efficiency and data reliability are improved.

The invention relates to the field of hydrogeology and environmental engineering, and discloses an underground water anomaly identification and early warning method based on a multi-time-sequence spatial-temporal change rate field, which comprises the following steps: acquiring underground water monitoring data, constructing a multi-time-sequence underground water level burial depth space field, constructing a spatial-temporal change rate field, acquiring a comprehensive saliency map, intelligently identifying a dynamic descending area of underground water, and performing early warning. Identifying and classifying the dynamic descending area, quantifying the dynamic index of the dynamic descending area, and performing graded early warning; historical data of known groundwater abnormal events are obtained, and adaptive adjustment is carried out on the corresponding adaptive threshold parameters in the previous steps. According to the scheme, a static water level field is converted into a dynamic space-time change rate field, the form change trend of the water level field of the whole area can be obtained, and the problem that only single-point water level change can be obtained in a traditional monitoring method is solved; graded early warning based on different development modes of the dynamic descending area is realized; the method does not depend on geological parameters difficult to obtain, and is simple and easy to implement and low in cost.

The invention relates to the technical field of blue-green algae cleaning, and discloses a blue-green algae cleaning boat and a cleaning method.The blue-green algae cleaning boat comprises a boat body, a bearing frame, a cleaning assembly, a dumping and collecting box and a power supply driving assembly, and the boat is composed of two suspension bodies to improve buoyancy and stability. The bearing frame is located on the inner side of the ship body and provides a bearing area for installing the cleaning assembly and other related components. The cleaning assembly is located above the bearing frame and used for cleaning and conveying algae pollutants. And the dumping and collecting box is arranged at the tail end of the cleaning assembly and is used for receiving and storing the cleaned and conveyed algae pollutants. The power supply driving assembly provides assembly working power and supports work of the cleaning assembly. The small boat firstly runs to a preset position and is accurately positioned by additionally arranging a built-in navigation system. And after the blue-green algae arrives at the target area, the cleaning assembly starts to work, and the blue-green algae is removed from the water surface through a cutting and conveying mechanism and conveyed into a dumping and collecting box. The cleaned algae are directly conveyed into the collecting box through the conveying device, and the pollutant collecting process is completed.

The invention discloses a rock-fill concrete pouring liquid level and compactness monitoring and evaluating method, and relates to the technical field of concrete construction. According to the invention, the compactness sensing probes are uniformly distributed in the warehouse, so that the whole warehouse surface can be comprehensively monitored. The probes are wrapped by high-strength and high-toughness materials, it is ensured that the probes cannot be damaged in the construction process, a three-dimensional Thiessen polygon method is adopted for segmenting the areas in the bin, each compactness sensing probe corresponds to one associated area, the segmentation method can adapt to irregular polygon boundaries, it is ensured that only one representative measuring point exists in each area, and the accuracy of the detection result is improved. Whether the probes are buried by the concrete or densely filled can be judged in real time through the numerical value change of the compactness sensing probes, and the liquid level position of the self-compacting concrete can be calculated according to the states of all the probes.

The invention discloses a single-ultrasonic-head sensor for measuring liquid density and liquid level height, which relates to the technical field of liquid level measurement and comprises a floater component, a reflection cavity component and an ultrasonic sensor component. The floater assembly is assembled on the reflection cavity assembly, the reflection cavity assembly is connected with the ultrasonic sensor assembly, and the ultrasonic sensor assembly is connected with the floater assembly through the reflection cavity assembly. High-frequency ultrasonic waves are transmitted and received through a single point, the sound velocity (density) and the ultrasonic wave return time difference (liquid level) are synchronously analyzed, the density and the liquid level of the urea solution are calculated, the problems of mechanical interference and data splitting are avoided, and the trepanning and cable cost is reduced; the shared high-precision temperature compensation module directly eliminates compensation deviation of the split system, and maintenance only needs single-point anti-crystallization treatment; and in combination with a cross validation algorithm (density liquid level logic mutual verification), the operation and maintenance cost is reduced while the data reliability is improved, and the method is particularly suitable for space-limited and highly-corrosive urea solution detection scenes.