1225results about "Volume measurement apparatus/methods" patented technology

The invention discloses a material-based laser scanning system and method, and relates to the technical field of industrial automation, and the system comprises the following components: a laser scanning unit, an environment sensing sensor group, a dynamic compensation and calibration module, a feedback control unit and a visual monitoring interface. According to the invention, the environment change of a scanning site is monitored in real time through the integrated environment sensing sensor group, and the laser scanning data is processed in real time by using an advanced dynamic compensation and calibration algorithm, so that the measurement deviation caused by environmental factors such as vibration, temperature change and dust interference can be effectively reduced; the measurement precision of laser scanning in complex environments such as a coal yard is remarkably improved, meanwhile, the stability of long-term measurement is ensured by continuously optimizing and calibrating model parameters and automatically adjusting laser scanning parameters, and reliable data support is provided for material management.

The invention belongs to the technical field of sewage treatment, and discloses a catalyst monitoring system based on sensing linkage and a control method.The system comprises a mixing pool, a settling pool and a backflow pool which are circularly arranged through pipelines, and further comprises a strong oxidant adding device, a powder catalyst adding device and a controller. According to the technical scheme, through combined use of the sensor, the flow meter and the valve, the problem of high loss rate of the powder type catalyst is solved, the service life of the catalytic reactor is prolonged, and the risk of environmental pollution is reduced. Meanwhile, the invention further discloses a powder type catalyst loss monitoring and controlling method based on the sensor and automatic control, in the method, hierarchical control is adopted on a controller control framework: a bottom-layer MPC is combined with a top-layer PINN prediction model to form a double-layer framework of network prediction and classical control, accurate monitoring and control are achieved, and the reliability of the controller is improved. Therefore, the purposes of reducing the loss rate of the catalyst, improving the stability of the catalytic reactor and prolonging the service life are achieved.

The invention provides an underwater ultrasonic Doppler real-time analysis method and device based on a digital transducer, and relates to the technical field of data analys.The method comprises the steps that 1, multiple beams of directional ultrasonic waves are emitted into drilling fluid through a digital transducer array on the outer wall of a marine riser, echo signals reflected by gas-liquid two-phase flow are received, and the digital transducer array is used for receiving the echo signals; performing real-time digital conversion on the echo signal to generate an original digital signal containing phase and amplitude information; 2, Doppler frequency shift feature extraction is conducted on the original digital signals, and the real-time movement speed and direction of bubbles in the drilling fluid are determined by calculating the frequency deviation of reflected ultrasonic waves and transmitted ultrasonic waves. Through the digital transducer array and the ultrasonic Doppler technology, accurate measurement of motion parameters of bubbles in drilling fluid, real-time calculation of local gas content and early warning and grading response of gas cut are achieved, and the safety and the intelligent level of drilling operation are improved.

The invention discloses a convolutional neural network vehicle fuel consumption detection method based on ultrasonic sensors, and relates to the technical field of vehicle fuel consumption detection, and the method comprises the steps: 1, installing a plurality of ultrasonic sensor arrays on a vehicle, and monitoring the liquid level change of a fuel tank through the ultrasonic sensors; step 2, performing normalization processing on data acquired by the ultrasonic sensor, and eliminating differences caused by different measuring devices and measuring environments; and step 3, analyzing the preprocessed data through a convolutional neural network model to obtain the vehicle fuel consumption. According to the convolutional neural network vehicle fuel consumption detection method based on the ultrasonic sensor, the ultrasonic sensor is adopted, non-contact measurement is achieved, mechanical abrasion is reduced, key parameters related to fuel consumption, such as the fuel oil liquid level and the distance from a fuel spray nozzle to a combustion chamber can be accurately measured, and the fuel consumption can be accurately detected through accurate measurement of the parameters. And the actual fuel consumption of the diesel engine can be calculated more accurately.

The invention relates to the technical field of alpine sand soil moisture leakage estimation technologies, and particularly discloses an alpine sand soil moisture leakage estimation method which comprises the following steps: S1, multi-source data acquisition: acquiring 0-110cm layered soil moisture content and temperature data by using a cold-resistant soil hydrothermal sensor array, and calculating the moisture content and temperature data of the layered soil; synchronously acquiring Sentinel-2 remote sensing data to extract vegetation coverage and land surface temperature, and recording regional freezing and thawing cycle times and biological crust coverage types; s2, key parameter inversion: calculating a permeability coefficient correction factor kFTC = alpha * N (1 / 2) through a multi-expression programming model based on the freezing and thawing cycle number N. According to the method for estimating the soil moisture leakage amount of the high and cold sand land, the limitation of a traditional model based on steady-state water flow and empirical parameters is broken through by quantifying the dynamic effect of freezing and thawing cycles on the porosity of a 30-80 mm soil layer and the water blocking effect of 23.41%-30.39% when the biological crust coverage degree exceeds 30%; and the influence of the low-temperature freezing and thawing cycle and the biological crust on the leakage mechanism of the high and cold sand land is accurately depicted.

The invention belongs to the field of atmospheric environment particulate matter monitoring, and particularly relates to an atmospheric environment salt mist concentration real-time monitoring device and method. The monitoring device comprises a computer control module, a container and a buoy, a conductivity electrode, a temperature sensor, a displacement sensor, an air inlet pipe and an air outlet pipe are integrated on the top of the container, and the air outlet pipe is connected with a reciprocating cylinder with a piston and a limit switch. The monitoring method comprises the following steps: calibrating the initial volume V < initial > of liquid and the volume V < initial > of a reciprocating cylinder; circularly collecting the conductivity k0 and k1, the temperature T0 and T1 and the displacement D and Dtotal of the buoy before and after ventilation; correcting the salt mass increment delta M through the dynamic volume, and finally outputting the salt mist concentration C; according to the invention, the defects of inaccurate ventilation volume metering, solution density change and interference of moisture in high-humidity air on concentration monitoring in the prior art are overcome, full-automatic continuous monitoring of the salt mist concentration is realized, the measurement error is effectively reduced, the measurement precision and the monitoring capability are remarkably improved, and the method has relatively good environmental adaptability.

An automated urinary output (“UO”)-measuring system includes a fluid container including a console coupled to one or more ultrasonic sensors and one or more accelerometers. The console includes a processor configured to receive accelerometer values from the one or more accelerometers, to determine an acceleration state of the fluid container, to activate the one or more ultrasonic sensors when the acceleration state of the fluid container is below a threshold, and to measure a volume of fluid in the fluid container when the acceleration state of the fluid container is zero. The system can further include a removable valve coupled to the fluid container and an attachment device including a pocket configured to accommodate the fluid container.

The invention provides a method for measuring the thermal runaway characteristic of a battery, which is used in the technical field of accurate measurement and thermal runaway testing of the volume, components and content of produced gas in the thermal runaway process of the battery, and the measurement method comprises the following steps: step 1, installing a test object in an experiment cabin, and carrying out pre-inflation replacement on the experiment cabin, the gas environment in the experiment module is a pre-inflation environment in a normal pressure state; 2, when the initial temperature value in the cabin is equal to the initial temperature of the surface of the battery, the battery is controlled to be heated or overcharged through an adapter on the experiment cabin, and the current temperature value in the cabin and the temperature value of the surface of the battery are recorded; and 3, recording the pressure value and the temperature value of the battery in the cabin in real time during thermal runaway, and calculating the gas production rate of the battery. According to the method, the gas production volume and components in thermal runaway are accurately measured, and the gas production rate and the total heat release amount in the thermal runaway period are calculated; the multi-dimensional characteristics of the thermal runaway behavior are obtained through one-time testing, and the thermal runaway safety of the battery is comprehensively evaluated.

The invention relates to the technical field of water level monitoring and early warning, in particular to an intelligent reservoir spillway water level monitoring and spillway early warning system, which comprises an anti-interference water level sensing module, an anti-siltation sensing array is arranged on a key section of a spillway, and the key section comprises a curve section and a gate section; the dynamic hydraulic twinning module is used for processing through a lightweight fluid network algorithm on the basis of the water surface transverse slope, the absolute water level and the gate vibration displacement in combination with a hydraulic BIM model; the edge cloud cooperative flow calculation module comprises an edge node and a cloud server; the risk self-adaptive early warning module is used for executing early warning when the calibrated real-time spilling volume breaks through a spilling threshold value; according to the method, the flow calculation error under the high turbulence working condition is remarkably reduced, the accuracy of flood discharge amount calculation is effectively improved, and it is ensured that flood discharge control is more accurate especially under the scene that the curve flow state is complex and the gate opening degree changes remarkably.

The invention relates to the technical field of ecological environment protection, in particular to a mangrove forest carbon sink monitoring and metering method based on an unmanned aerial vehicle, a radar and an AI technology, and the method comprises the steps: 1, obtaining the laser radar data of a mangrove forest through a laser radar carried by the unmanned aerial vehicle; step 2, acquiring elevation data in a mangrove forest vegetation layer area, and obtaining point cloud data after topographic error correction; 3, obtaining a multispectral image of the mangrove forest, and obtaining a multispectral data matrix; 4, identifying forest growth data features, constructing a mangrove forest carbon sink prediction model, and predicting the mangrove forest carbon sink amount; step 5, marking the image region with the NDVI value higher than a preset NDVI threshold value as a blade over-dense region; and according to the area of the overdense leaf region and the multispectral data matrix, calculating a light depression factor by using a photosynthetic depression factor formula, determining the carbon sink deviation of the overdense leaf region by using a regional carbon sink deviation formula, and obtaining a real carbon sink value of the mangrove forest according to a carbon sink calculated value obtained by prediction.

The invention discloses a method for simulating underwater topography of a natural lake based on lakeshore topographic features, and relates to the technical field of earth science. According to the method, the natural process of simulating lake surface descending is taken as a main line, and lake surrounding terrain information and morphological parameters extracted from DEM data are fully utilized, so that reliable estimation of the water depth and the water reserve of the natural lake under the condition of no actual measurement data is realized; the method has the following main advantages: 1) the method can automatically adjust the calculation formula of the underwater topography according to the lake morphological parameters, thereby realizing the autonomous adjustment of the water depth prediction of different types of lakes, and effectively improving the precision and reliability of the simulation result; and 2) in the underwater terrain simulation process, the remodeling effect of the lake sediment on the underwater terrain is considered, and a correction formula is introduced into the gradient calculation module, so that the gradient calculation result is closer to the real lakebed form, and the accuracy of the simulation process is further improved.

The present invention discloses an intelligent disinfection toilet cover, comprising an upper cover, a seat ring and a rear cover, wherein the rear cover is arranged at the tail of the seat ring, and the upper cover is arranged at the top of the seat ring. The nozzle in the present invention is arranged as a 360-degree rotating induction spray nozzle, which can spray alcohol and sterilize the seat ring without dead angles at 360 degrees; the alcohol storage box is provided with a capacity monitoring module, and the outer side of the alcohol storage box is provided with a first wiring plug connected to the capacity monitoring module, and the end of the alcohol capacity monitoring power line away from the hydroelectric generator is connected to the first wiring plug, and the alcohol capacity is sensed and prompted through the alcohol inventory monitoring module, which is convenient for use; the induction switch is provided with an infrared induction module, and the end of the upper cover switch induction power line away from the hydroelectric generator is connected to the infrared induction module, and the infrared induction module senses through infrared rays, which is intelligent induction. When the user leaves the toilet, the upper cover is automatically closed, and the nozzle automatically disinfects the seat ring and the toilet cleaning cavity.

Disclosed are automated urinary output (“UO”)-measuring systems and methods. An automated UO-measuring system can include a container configured to collect a fluid such as urine. The container can include a console, one or more ultrasonic sensors coupled to the console for determining a fluid level within the container, one or more accelerometers coupled to the console for determining a near-zero acceleration state of the container for the determining of the fluid level within the container, and a valve configured to pass fluid therethrough by way of a fluid line coupled to the valve. The automated UO-measuring system can also include a container holder. The container holder can have a pocket for holding the container and a sleeve for securing the container to a user. A method of the automated UO-measuring system can include a method of using the automated UO-measuring system to collect and measure urine output of the user.

The invention discloses an intelligent monitoring method and system for an intelligent breather valve, and relates to the technical field of intelligent valve monitoring. Fitting a circulation volume curve based on the uploaded tank body pressure and circulation volume in combination with data of valves with different calibers; the opening state of the valve is judged according to the logic relation between the state of the proximity switch and the pressure of the tank body; and calculating the discharge amount or the suction amount based on the opening state of the valve and the circulation volume curve. According to the method, on the basis of the relation between the tank pressure and the circulation volume, the circulation volume curve is fitted through the quartic equation, errors of a traditional linear model are avoided, and the applicability to valves with different calibers is guaranteed. The opening state of the valve is judged according to the proximity switch state and pressure relation, and the defect that a traditional system is inaccurate or delayed in judgment of the valve state is overcome. By calculating the emission amount and the suction amount and combining VOCS concentration monitoring, emission of harmful gas is effectively reduced, and the environmental protection requirement is met.

A weighing system for medical applications may include a basin that has a base and a sloped sidewall that collectively form a bounded cavity with open top surface that receives and holds the material to be weighed. The basin may be free floating above the weighing device within a restricted range of travel. In some examples, the weighing system includes a thermal treatment device to adjust the temperature of the material in the basin. The rate at which heat is delivered to the basin may vary depending on the weight of the contents in the basin.

The embodiment of the invention provides a material volume detection method, device and equipment for a quantitative bin and a detection system. The method comprises the following steps: acquiring at least two pieces of first point cloud information acquired by at least two laser radars respectively; carrying out fusion processing on the at least two pieces of first point cloud information to obtain fusion point cloud information of the materials in the quantitative bin; and determining volume information of the materials in the quantitative bin according to the fused point cloud information. According to the scheme, the problem that shielding exists in a single radar or manual inspection accuracy is poor is effectively solved, real-time monitoring of the material volume in the dynamic discharging process is achieved, and reliable data support is provided for quantitative control.

The invention provides a method for monitoring operation information of a rice precision hill-drop planter, which comprises the following steps of: initializing each controller of the rice precision hill-drop planter, if the initialization is completed, entering the next step, otherwise, continuously giving an alarm; the method comprises the following steps: acquiring data through an infrared photoelectric sensor array, optimizing the data acquired by the infrared photoelectric sensor array by using a Kalman filtering algorithm, and further acquiring the seed allowance of a seed metering box; judging whether the seeds are blocked or not according to the change time of the seed allowance calibrated in advance, and if the seeds are blocked, prompting through a human-computer interaction interface and giving an alarm; and the gear of the power output device and the groove width of the seed-metering wheel of the seed-metering device are readjusted. The invention further provides a monitoring system for the operation information of the rice precision hill planter, the infrared photoelectric distance measuring sensor array monitors the remaining amount of seeds in the seed metering box and the blockage condition in real time, the Kalman filtering algorithm is used for optimizing data, the height error measured by the fitting surface is small, and the data of the remaining amount of the seeds is more accurate.

The invention relates to the technical field of nanobubble generation, in particular to a micro-nanobubble continuous generation control method, system and device. The problems that a gas-liquid mixing pump is high in cost, needs an air pump, is large in noise and is limited in application are solved. The device comprises a water pump, a water inlet valve, a vent valve, a water outlet valve, a first pressure dissolved air tank, a second pressure dissolved air tank and an nth pressure dissolved air tank, the water pump is respectively connected with the first pressure air dissolving tank, the second pressure air dissolving tank to the nth pressure air dissolving tank through a plurality of water inlet valves; the top of each pressure dissolved air tank is communicated to the vent valve, and the bottom is communicated to the water outlet valve. The method comprises the following steps: acquiring the number and residual volume of dissolved air tanks, and starting a dissolved air tank switching program and a water production program to form micro-nano bubble water; collecting the generated micro-nano bubble water, and carrying out sampling detection on the micro-nano bubble water; continuous and stable production is achieved, the production efficiency is improved, continuous supply of bubble water is ensured, additional air pump equipment is not needed, and energy conservation and emission reduction are facilitated.

The invention discloses a shield deslagging volume dynamic detection method and a detection system thereof, and relates to the technical field of shield deslagging volume metering, the method comprises the following steps: arranging sound wave and vibration sensors, collecting sound vibration signals in a deslagging process, and calculating to obtain a first volume estimation value; collecting propelling attitude and conveyor rotating speed information, calculating an attitude correction coefficient and correcting the first estimated value to obtain a second estimated value; based on the dynamic image sequence at the deslagging window, extracting section and trajectory features to form a third volume estimation value; detecting the water content of the muck through a microwave sensor, calculating a water content correction coefficient, and compensating and correcting an image estimation result to obtain a fourth volume estimation value; and finally, carrying out weighted fusion on the second and fourth estimated values to obtain the final deslagging volume. According to the method, multi-source information of sound vibration, vision and water content is fused, the precision and robustness of slag discharge volume estimation are effectively improved, the method adapts to complex working condition changes, and the safety and efficiency of shield construction are guaranteed.

The embodiment of the invention discloses a quantitative evaluation method for the influence of climate change and human activity on land water reserves, and relates to the technical field of geographic information, and the method comprises the steps: obtaining first TWSA data and climate-driven remote sensing data related to climate factors; reconstructing TWSA data in combination with a gradient lifting regression model, and outputting climate-driven second TWSA data; verifying the second TWSA data, and extracting third TWSA data related to the human activity factors through a separation method under the condition that the verification is passed; and respectively calculating composition contribution rates of the second TWSA data and the third TWSA data, and determining main factors for driving land water reserves to change. According to the embodiment of the invention, the direct driving effect of the climatic factors on the TWSA data is comprehensively considered, the dynamic relationship between the climatic factors and the TWSA data is combined, and a scientific basis can be provided for quantifying the relative contribution of the climatic factors and human activity factors.

The invention discloses a volume correction instrument error analysis method and system based on an improved PE equation, and aims to improve the accuracy of fuel gas and biogas metering. According to the equipment, performance testing can be carried out under the conditions of different temperatures (20 DEG C to 40 DEG C) and pressures (101.3 kPa to 104.0 kPa) through an integrated fuzzy logic algorithm, and the average correction error is only 0.22%. A high-precision sensor and a data processing unit are used for monitoring and calibrating the gas volume in real time and compensating the influence of temperature and pressure changes. The fuzzy logic controller adjusts the reading of the gas meter according to real-time data, the accuracy of a metering result is ensured, algorithm optimization and intelligent equipment integration are focused, and the energy management efficiency is improved. The volume correction instrument provides help for a modern energy metering system and optimization of energy efficiency and cost.

A measurable dispenser, comprising a first vessel for containing a substance to be dispensed, a second, measurable, vessel, mounted on the first vessel, a one-way valve whereby fluid from the first vessel can be caused to move into the second vessel and retained therein virtue of the one-way valve, and wherein the second vessel is provided with one or more indicia indicating measured amounts. A child-proof locking mechanism is also disclosed.

The invention provides a water quantity monitoring method and device and terminal equipment, and is suitable for the technical field of data processing, and the method comprises the steps: obtaining initial monitoring signal representation information and wireless parameter adjustment interval information of a sensor; generating an initial monitoring signal state space vector and a signal state adjustment space vector according to the initial monitoring signal characterization information and the wireless parameter adjustment interval information; selecting the signal state adjustment space vector, and generating a signal state adjustment action vector; generating target monitoring signal characterization information according to the initial monitoring signal state space vector, the signal state adjustment action vector and a signal quality characterization quantity threshold value; and according to the target monitoring signal characterization information, measuring and transmitting water quantity information, and generating water quantity monitoring information. The wireless signal quality is adaptively optimized, the adaptability of the sensor to a complex and changeable water conservancy environment is improved, the stability of a monitoring signal is guaranteed, and the timeliness and accuracy of water quantity monitoring information are ensured.

The invention discloses a marine oil spill quantity estimation method and system based on image depth analysis and a medium, and relates to the technical field of image data analysis, and the system comprises a time period analysis module, an image data processing module and a diffusion analysis estimation module. The output end of the time period analysis module is connected with the input end of the image data processing module; and the output end of the image data processing module is connected with the input end of the diffusion analysis and estimation module. Aiming at still water experiment analysis of marine oil spill, a brand new analysis processing direction is provided, under different characteristic conditions, motion characteristic, rule and trajectory analysis in a related complex dynamic condition environment is achieved, prediction diffusion range estimation of marine oil spill is formed, and therefore influences are accurately judged and decisions are made in advance.

A radar fill level measurement device includes an arrangement having at least one radar chip which has a plurality of transmitting channels and a plurality of receiving channels. In addition, the device includes an antenna arrangement having a plurality of transmitting elements and receiving elements. The device has more transmitting channels than transmitting elements and / or more receiving channels than receiving elements.

The invention provides a multi-sensor fusion ship berthing sensing auxiliary method and system, and the method comprises the steps: obtaining ship-borne laser radar point cloud data and ship-borne IMU odometer data, carrying out the point cloud motion compensation of the ship-borne laser radar point cloud data, and issuing the compensation; feature point clouds of the point cloud data are extracted, and shipborne laser radar point cloud data integrating the feature point clouds are issued; acquiring shipborne IMU data and shipborne laser radar odometer data, integrating the shipborne IMU data in real time, and issuing a shipborne IMU odometer; acquiring shipborne RTK data, detecting and judging a satellite signal state, and issuing shipborne RTK odometer data; acquiring shipborne RTK odometer data and shipborne laser radar point cloud data integrated with feature point cloud, calculating and optimizing the current state pose of a ship, issuing a shipborne laser radar odometer and reconstructing a three-dimensional navigation scene; a hardware external parameter calibration result is obtained, a ship-borne IMU odometer coordinate system, a ship-borne laser radar odometer coordinate system and a ship-borne RTK odometer coordinate system are unified, and a three-dimensional navigation scene and all odometer data are visualized.

The invention provides a pipettor automatic calibration positioning and accuracy evaluation method based on photoelectric sensing, and relates to the technical field of pipettor calibration, and the method comprises the following steps: arranging an annular photoelectric sensor array to collect interference fringe phase difference, liquid level reflection light signals and surface acoustic wave signals, and adopting a five-step phase shift method to obtain a three-dimensional displacement vector; dynamic calibration is achieved through liquid level morphological parameter analysis in combination with adaptive Kalman filtering, numerical simulation is conducted on the liquid drop forming process through time-frequency analysis and a fluid mechanics model, and finally the accuracy is evaluated through adaptive fuzzy reasoning and Bayesian estimation. According to the invention, high-accuracy automatic calibration and evaluation of the pipettor are realized.

The invention belongs to the technical field of hydrological survey, and particularly relates to a hydrological water resource survey device with a self-protection function, which comprises a mounting column, a floating platform and a water containing seat, the top of the mounting column is fixedly connected with a lifting pump; the input end of the lifting pump is communicated with a water inlet pipe; the output end of the lifting pump is communicated with a water outlet pipe; an elastic ring is arranged on the side surface of the floating platform; a group of guide rods are uniformly distributed on the inner side of the elastic ring; the guide rod is sleeved with a buffer spring. An annular groove is formed in the top of the water containing seat; an evaporation detection assembly is arranged in the annular groove; according to the invention, the evaporation capacity is observed by adopting a mode of taking while measuring, the real evaporation process is fully simulated, interference factors such as solar radiation, air temperature and wind speed are eliminated, the evaporation condition is basically consistent with the actual water surface condition, and the accuracy of the detection result is improved; by arranging an elastic ring, a guide rod and a buffer spring, surrounding protection is conducted on the surveying device, and the service life of the surveying device is prolonged.

A system including a pumping cassette having a first side including number of valve wells and second side having a fluid bus. Each side may be covered by a flexible membrane. A control surface having a number of valve well control stations actuatable with respect to the flexible membrane covering the first side of the cassette to open and close the valve wells when the cassette is mated against the control surface may be included. A pressure distribution assembly having a positive and negative pressure source and a number of pneumatic valves may be included. A controller configured to selectively actuate the number of pneumatic valves to apply pressure against the valve well control stations in a valve pumping sequence until a volume displaced through the fluid bus of the pumping cassette from a source to a destination is within a range of a target volume may be included.

The embodiment of the invention discloses an oil mass detection method and device, and relates to the technical field of data processing. The oil quantity detection device is arranged on a vehicle, the input end of the oil quantity detection device is electrically connected with an oil level sensor of the vehicle, the output end of the oil quantity detection device is electrically connected with an oil meter of the vehicle, and the method is applied to the oil quantity detection device and comprises the steps that first oil level data is determined according to first sensing data collected by the oil level sensor; determining current oil quantity data corresponding to the first oil level data based on calibration parameters; wherein the calibration parameters are used for representing the corresponding relation between the oil level data and the oil mass data; according to the first oil level data or the current oil quantity data, resistance information needed by a pointer in the oil meter to indicate the current oil quantity data is calculated, so that the oil meter adjusts the deflection angle of the pointer to indicate the current oil quantity data according to the resistance information, and the current oil quantity data can be indicated on the premise that a vehicle oil tank is not transformed. The measurement precision of the oil quantity is improved, and the accuracy of the current oil quantity data displayed by the oil meter is guaranteed.