56 results about "Measurement reliability" patented technology

A fixed-measurement-point-free pose adjustment and positioning method for large-scale three-dimensional assembly. According to the method, by using a fixed-measurement-point-free mode, the need for the step of arranging measurement points on each plane of a three-dimensional part (3) in the early stage is eliminated, improving the measurement efficiency for the three-dimensional part (3) while mitigating the impact of over-constrained point positions, providing a fixed-measurement-point-free pose adjustment and positioning approach, and ensuring the full-process assembly efficiency for the three-dimensional part (3); moreover, a global coordinate system is established by means of laser trackers (1), improving the measurement precision and ensuring the measurement reliability.

The invention relates to the technical field of measurement signal transmission, and discloses a measurement signal real-time transmission system in air-ground cooperative localization, which is characterized in that an environment signal fingerprint spectrum and a modulation depth spectrum representing environment modulation intensity are generated offline, and in a real-time stage, a mobile terminal sends a detection signal and attitude data of the mobile terminal; and the positioning correlator performs self-adaptive pre-normalization on the physical characteristics of the received signal according to the attitude data and the modulation depth map, and performs mode matching with the fingerprint map to determine the position. According to the invention, the superposition influence of the attitude change of the mobile terminal and the environmental reflection on the signal can be effectively separated; the problem that different positioning results are generated at the same position due to different flight attitudes is avoided, the system has the capabilities of signal time sequence verification and atlas timeliness diagnosis, and the measurement reliability and the system adaptability in a complex real environment are improved.

The invention provides a horizontal deviation angle measurement method and system based on image processing and a medium, and belongs to the field of precision measurement and computer vision, and the method comprises the steps: determining the reference center coordinate of a horizontal bubble; obtaining actual measurement center coordinates of the bubble according to a to-be-measured image, wherein the to-be-measured image is an image which is acquired by placing the bubble level on a to-be-measured surface and comprises the horizontal bubble; and calculating a deviation angle according to the actual measurement center coordinate and the reference center coordinate. High-precision automatic measurement is realized, and the measurement reliability is improved.

The application discloses a multi-source bone density data fusion method, system and storage medium, and belongs to the field of medical big data and intelligent diagnosis. The method aims at the systematic deviation between DXA devices of different manufacturers and the high detection uncertainty problem under the primary medical environment. Firstly, the multi-source bone density data and the corresponding physical calibration parameters are projected to a unified measurement space through standardized preprocessing and device-related mapping functions, and the device barriers are eliminated by using distribution alignment constraints. Then, Gaussian uncertainty modeling is performed on the projected data to quantify the influence of specific clinical factors on measurement reliability. Based on the uncertainty propagation mechanism, the multi-source discrete evidence is adaptively compensated and fused by weight, and multi-dimensional features including physiology, medical history and anatomical topology are introduced for joint modeling. Finally, end-to-end optimization is performed through a joint function of fusion uncertainty constraint and task loss, and high-robustness osteoporosis risk intelligent evaluation is realized. The application significantly improves the consistency of cross-device T value prediction and the accuracy of missed diagnosis / misdiagnosis review, and is suitable for multi-center bone density mutual recognition and primary medical bone health intelligent evaluation scene.

The embodiment of the present invention provides a water quality monitoring method and related devices based on edge computing, which belong to the field of data prediction technology. The method includes obtaining initial parameter data of the target water environment under the target sensor and target spatial information under the positioning sensor; determining the measurement reliability of the target sensor based on the initial parameter data, and adjusting the initial parameter data based on the measurement reliability to obtain target parameter data; performing data fusion on the target parameter data to obtain target fusion data of the target sensor; sending the target fusion data, target parameter data, and target spatial information to a cloud server that is communicatively connected to the edge device, so that the cloud server performs water quality prediction on the target fusion data, target parameter data, and target spatial information according to a water quality prediction model to obtain a target prediction result of the target water environment; receiving the target prediction result sent by the cloud server, and determining the target monitoring result of the target water environment based on the target prediction result.

The utility model relates to the technical field of robot tracks, and discloses an automatic inspection robot track which comprises a track module seat, the bottom of the track module seat is provided with a positioning installation hole used for being fixed to the ground, and the front side and the rear side of the track module seat are provided with hinge devices used for connection. The left side and the right side of the track module base are provided with bending degree adjusting devices used for adjusting the bending degree. According to the automatic inspection robot track, modular connection is adopted, splicing and mounting are facilitated according to mounting environment conditions, during maintenance, only the track at the damaged position can be detached and replaced, the maintenance difficulty is lowered, the maintenance efficiency is improved, the bending angle can be flexibly adjusted according to the mounting environment, and the practicability is high. And the position of the robot can be quickly and accurately known through the positioning module, so that the position precision of measurement data returned by inspection is improved, and the measurement reliability is improved.

The utility model belongs to the technical field of three-coordinate measuring machine maintenance, and particularly relates to a three-coordinate measuring machine maintenance assistive tool which comprises a bottom plate which is vertically arranged, and the upper end and the lower end of the right side of the front face of the bottom plate are respectively provided with a mounting hole; the two screws are perpendicular to the bottom plate and rotationally connected to the upper end and the lower end of the left side of the front face of the bottom plate correspondingly, and the threaded ends penetrate through the back face of the bottom plate; the driving mechanism is arranged on the left side of the front face of the bottom plate and is in transmission connection with the two screws. The bottom plate is attached and fixed to the side face of the supporting frame base plate, the threaded rod is in threaded connection with the threaded hole in the side face of the fixing plate, and therefore the supporting frame base plate can be driven to slide, tension adjustment of the bandage is achieved, operation is convenient, maintenance difficulty is small, rapid maintenance can be conducted on site, and the service life of the bandage is prolonged. Therefore, the measurement precision is improved, and the production continuity and the measurement reliability are guaranteed.

The invention discloses a fabricated building assembly clearance monitoring system and method, and relates to the technical field of building measurement, through the arrangement of a detection mechanism and the arrangement of the same sliding rods on the two sides of the device, the symmetry of left and right measurement structures can be ensured, and when the building assembly clearance is measured, the clearance measurement error caused by single-side stress deflection is avoided, and the measurement accuracy is improved. A graduated scale is arranged below a sliding rod, a gap width value can be directly read, a contact type end is detachably installed at the top end of the sliding rod, a mistaken touch prevention mechanism is automatically triggered after the end is installed, the measurement function can be locked when the end is not installed correctly, mistaken measurement and wrong measurement caused by loosening and not-in-place installation of the end are prevented, and the measurement reliability and safety are improved; the device can adapt to assembly gaps with different widths, the contact type end is always kept to be stably attached to the surface of the component, it is guaranteed that the measurement process is continuous and reliable, and the device is suitable for various assembly scenes.

The invention discloses a subway handrail composite injection molding on-line detection method, and relates to the technical field of railway vehicle detection, and the method comprises the steps: binding a unique number for each handrail, loading a compliance detection formula, building an arc length coordinate-circumferential angle coordinate model, and generating a grabbing area map and a grabbing weight map; two-dimensional appearance data and three-dimensional shape data are collected in the closed detection cabin and are expanded and fused, and quality measurement of data such as overexposure, shadow and missing is output; quantifying the minimum fillet, the protrusion height, the sharpness and the exposed substrate in the grasping area to form a measurement credibility mark and grasping safety risk index thermodynamic diagram; triggering supplementary collection and metering switching according to the threshold value, the risk and the credibility, grading and shunting by adopting confidence judgment, and generating a tracing evidence packet; according to the scheme, localizable quantification and reliable judgment of the safety defect of the grabbing area are achieved, misjudgment and missed judgment are reduced, reworking and quality tracing are facilitated, and deployment is easy.

The present invention provides an overflow-controlled oil well online metering device, method, equipment, and medium. The device measures flow rate by combining a coaxial line phase-method water-cut meter with a related flowmeter. When fluid enters the device, it flows sequentially through two coaxial line phase-method water-cut meters, generating two water-cut signals. The changes in these two signals are similar, and there is a certain time delay. By calculating the time delay of the two water-cut signals and combining it with the pipeline dimensions and the spacing between the two water-cut meters, the flow rate can be calculated. This achieves integrated online real-time measurement of water cut and flow rate, improving measurement reliability. Furthermore, the present invention achieves gas-liquid separation by adjusting the overflow control valve, reducing the impact of gas on measurement.

A meandering amount arithmetically operating device of a meandering amount measurement device calculates the meandering amount of a steel sheet using a drive side edge site zds(N) and a work side edge sites zws(N) at a current time when a measurement reliability determination unit determines that both the drive side edge site zds(N) and the work side edge sites zws(N) at the current time have high reliability. When only one of the drive side edge site zds(N) and the work side edge site zws(N) at the current time is determined to have high reliability, the other edge site is calculated by interpolation using the number of pixels W from a sheet width updating unit with the drive side edge sites zds(N) or the work side edge site zws(N) at the current time having high reliability as a reference.

The present invention relates to the field of blood pressure measurement technology, and in particular to a blood pressure measurement method, system, and computer device for simulated teaching. The present invention simulates the pressure waveforms of inflation and deflation and the average slope of inflation and deflation during the measurement process, and can automatically adjust according to different wearing tightness, thereby reducing the impact of wearing errors on measurement results. By fitting and adjusting the slope and curvature of the blood pressure waveform, the present invention can compensate for errors caused by inaccurate cuff wearing and tightness problems in traditional blood pressure measurement methods, thereby improving measurement accuracy. By real-time monitoring of the residual between the blood pressure waveform and the standard waveform and adjusting the cuff position to eliminate errors, the accuracy of blood pressure measurement is improved. Data distribution is judged by the residual kurtosis, ensuring measurement reliability. A real-time feedback system avoids problems with inaccurate cuff wearing position and tightness, thereby improving the efficiency, accuracy, and patient comfort of the entire blood pressure measurement process.

The invention relates to the crossing field of optical precision measurement and automatic control, in particular to a dynamic angle measurement system using synchronous frequency, which comprises a measurement unit, a scanning control unit, a linkage unit, a frequency synchronization unit, a reference unit, a data processing unit and an upper computer. The reference unit provides an angle reference. The frequency synchronization unit provides a reference clock signal, drives the scanning control unit to generate a control signal, and further drives the measurement unit to output an external angle signal. The frequency synchronization unit reads and synthesizes the control signal and the external angle signal, and sends the control signal and the external angle signal to the linkage unit and the data processing unit. The data processing unit calculates an error signal. The linkage unit adjusts the working parameters of the measuring unit and the scanning control unit, and the scanning precision is improved. The invention also comprises a method. According to the invention, ultrahigh-frequency high-precision synchronization is realized, strict requirements of high-precision equipment on measurement synchronism and precision are met, depth real-time linkage of measurement and control is also realized, and the measurement reliability and accuracy are further improved.

The invention relates to the technical field of TDC displacement sensor calibration scheme design, in particular to a TDC displacement sensor calibration method and system for dynamic environment compensation. The method comprises the following steps: synchronously acquiring displacement measurement data and environmental parameters such as temperature, humidity and vibration in real time; calculating a compensation amount through a dynamic compensation model based on the environment data, and correcting a measured value; and starting online calibration to update model parameters when conditions are met. The system comprises a data acquisition module, a compensation processing module, a data correction module and an online calibration control module which are used for realizing the functions. Through combination of multi-dimensional environmental perception and dynamic adaptive compensation and introduction of an online calibration and self-diagnosis mechanism, the problems of precision reduction and insufficient stability of a traditional TDC sensor in a complex environment due to various interference factors are effectively solved, and the environmental adaptability and long-term measurement reliability of the TDC sensor are remarkably improved.

The present invention relates to the field of intelligent control technology for gas sensing and measurement, and specifically discloses a gas density measurement method based on a gas densitometer. During the measurement process, the gas sound velocity data and molecular adsorption dynamic response time data are collected in real time, and the gas compressibility fluctuation characteristic value and the response time adsorption hysteresis characteristic value are extracted respectively, and a comprehensive stability characteristic vector is constructed as a key indicator for evaluating the measurement state. By establishing a gas measurement reliability evaluation model based on a random forest algorithm, a quantitative score of the credibility of each measurement is achieved, and parameters such as the sampling frequency and measurement period are automatically adjusted according to the scoring results to form a closed-loop feedback mechanism. The present invention improves the accuracy and stability of gas density measurement, enhances the adaptability and robustness of the system under complex working conditions, and has the advantages of high intelligence, fast response speed, and wide application range. It is suitable for multi-component gas online monitoring and high-precision density detection scenarios.

The invention discloses an automatic loading method and system based on real-time weighing and calculation of carriage positions. The system comprises a weighing loading area, an intelligent weighing analysis system, a transport vehicle and an automatic discharging device. The method comprises the following steps: dividing a weighing and loading area, and installing a weighing sensor in the center of the divided small area; establishing a coordinate system, and calibrating coordinate positions of the weighing sensors corresponding to the small areas; recording the data of the weighing sensor when the wheel is pressed in each small area in real time; the intelligent weighing analysis system analyzes the data, calculates the carriage position and draws a two-dimensional transport vehicle carriage diagram; judging whether the transport vehicle enters a specified loading area or not; a three-dimensional device image is generated by combining measurement data of the weighing sensor; and the automatic discharging device carries out truck loading according to the three-dimensional device picture. According to the method and the system, the position of the carriage is measured in a weighing mode, the reliability is high, the accuracy and the reliability of a measurement result are ensured, and therefore accurate automatic loading operation is achieved.

The invention relates to the technical field of optical fiber sensing, in particular to a device and a method for measuring the height of a high-temperature fluctuating solution liquid level in real time based on laser, accurate measurement is carried out based on the laser reflection principle of the high-temperature solution liquid level, and the instrument can realize high-precision liquid level measurement under the high-temperature condition through automatic operation. In the whole process, human intervention and operation errors are remarkably reduced, the accuracy and efficiency of measurement are improved, and real-time monitoring of the liquid level height of the high-temperature melt is ensured. According to the method, error sources in a traditional method are effectively avoided, the influence of reaction gas and impurities is reduced, and the measurement reliability is improved. By optimizing a laser measurement technology and adopting a brand new device design, the liquid level height of a high-temperature solution can be accurately measured under complex working conditions of high temperature, high airflow, liquid level fluctuation and the like, so that the limitation of a traditional liquid level measurement technology is overcome, and the device has important engineering application value and popularization potential.

The utility model belongs to optical measurement technical field especially relates to a big deep diameter ratio micro -hole optical measurement support structure, including iron stand base, the center position fixed mounting of iron stand base has displacement platform, the top fixed mounting of displacement platform has fixed link, the top fixed mounting of fixed link has the article board, places the sample to be measured on the article board. This big deep diameter ratio micro -hole optical measurement support structure, clamping mechanism passes through the support rod of scale, lockable mounting seat and branch, the arc clamping jaw of adaptation multi -specification lens, realize digital microscope stable fixation and position adjustment, guarantee the coaxiality foundation of optical axis, fine adjustment mechanism helps the sleeve of scale, adjusting knob and limit guide component, realize accurate longitudinal and lateral fine adjustment, cooperate spring pre -tightening anti -loosening, high -efficient correction coaxiality. The combination of both enhances the system versatility, stability and adjustment accuracy, helps to improve the imaging quality and measurement reliability.

The invention discloses a GPS-based highway line accurate surveying and positioning method and system, and belongs to the technical field of highway line surveying and positioning, and the method comprises the steps: collecting the data of a multi-source sensor in a highway surveying process, carrying out the real-time zero offset calibration of angular velocity data outputted by a gyroscope, obtaining the calibrated angular velocity data, and carrying out the real-time zero offset calibration of the angular velocity data; according to the matching residual error of the visual feature data and the zero offset calibration value of the calibrated gyroscope, dynamically adjusting the visual weight, and based on the absolute position data, the zero offset calibration value and the dynamically adjusted visual positioning weight, obtaining a fusion positioning result of the road line through weighted fusion calculation. The fusion positioning result comprises a plane coordinate, an elevation value and an azimuth angle, and a precise survey report of the road line is generated according to the fusion positioning result. The method can dynamically calibrate gyroscope zero offset, dynamically distribute visual weight, realize'sensor reliability-weight 'adaptive matching, perform closed-loop fusion of multi-source data, and improve the precision of the road line. And the positioning precision and the elevation measurement reliability are improved.

Disclosed is an instrument analyzing elemental composition of a sample, including a measurement assembly including: an exciter generating an excitation directed at a target position to cause emission from the sample; a detector assembly receiving the emission from the sample at the target position, arranged to generate one or more measurement signals that are descriptive of the emission; an imaging apparatus for capturing images of an area around the target position; and a controller for carrying out a measurement, arranged to operate the exciter to generate the excitation and to carry out analysis of the elemental composition of the sample based on the measurement signals. The controller performs reliability analysis associated with the measurement by operating the imaging apparatus to capture images of the sample, determining estimated reliability of the measurement based on the captured images, and selectively issuing an indication of measurement reliability based on the estimated reliability.

The invention discloses a water level on-line measuring device for reservoir safety management, which comprises a stand column, an adjustable cross rod, a radar water level gauge and a measuring floating island, the adjustable cross rod is fixedly arranged at one side of the upper end of the stand column, the radar water level gauge is fixedly arranged at one end, far away from the stand column, of the adjustable cross rod, and the measuring floating island is arranged at one side of the lower end of the stand column. A take-up machine is arranged at the lower end of the stand column, a connecting mooring rope is wound on the outer side of the take-up machine, one end of the connecting mooring rope is fixedly connected with the measuring floating island, the measuring floating island comprises a floating island body, a throwing-in well and a throwing-in type water level gauge, the throwing-in well is fixedly arranged below the floating island body, and a throwing-in opening is formed in the center of the floating island. The invention belongs to the technical field of reservoir water level measurement, and particularly provides a high-interference-resistance and low-maintenance water level online measurement device which is combined with a pressure type sensor, an ultrasonic sensor and a radar sensor to improve the measurement reliability and integrates self-cleaning and energy self-supply functions for reservoir safety management.

The application discloses an error feature-based non-specific multivariate sensor state anomaly detection method, and belongs to the technical field of intelligent sensing and control. The method first collects measurement data of multiple sensors on the same physical state at the same time, and establishes a multi-source error boundary model; combined with the error distribution characteristics, a measurement error boundary containing noise and delay influence is constructed; then, noise deviation and delay deviation are dynamically corrected, and the error boundary of each sensor is translated and expanded; finally, the error boundary of all sensors is overlapped and analyzed. Through the fusion of noise and delay error characteristics, the application realizes adaptive consistency detection and anomaly identification of the measurement results of multiple source sensors, does not need to rely on specific physical variables, has strong model generalization, high real-time performance and good robustness, and can effectively improve the measurement reliability and operation safety of the system under the condition that part of the sensors fail, drift or are attacked.

The invention provides a multidimensional parameter adaptive optimal passive positioning method based on time difference and orientation. The method comprises the following steps: carrying out quantitative evaluation on positioning performance by adopting multidimensional parameters; performing parameter region division based on fuzzy logic, realizing multi-dimensional parameter joint judgment decision, and selecting an optimal positioning mode; in different positioning modes, the weight in positioning calculation is dynamically adjusted according to the confidence degree of each observed quantity; and a smooth transition mechanism is designed, and continuity of a target positioning result is realized when different positioning modes are switched. According to the method, multi-dimensional parameters such as a geometric accuracy factor (GDOP), a signal-to-noise ratio (SNR), time difference measurement consistency and azimuth measurement reliability are comprehensively utilized, and a positioning mode with the highest positioning accuracy in a current system state is determined according to parameter information of each dimension.

The invention discloses a data processing method and device based on ultrasonic water flow measurement and a storage medium. The method comprises the following steps: acquiring a set number of measurement data by taking a set moment as a reference; multi-modal features of the measurement data are obtained; calculating the confidence coefficient of a measurement result according to the plurality of multi-modal features, wherein the measurement result refers to a water flow numerical value calculated according to the measurement data; and determining the precision evaluation of the measurement result according to the confidence of the measurement result. According to the technical scheme, credibility quantification and precision evaluation of the measurement result under bubble interference are achieved, and the metering reliability of the ultrasonic water meter is improved.

The invention discloses an MEMS device test data processing method and device, equipment and a medium. The method comprises the steps that a test data file is acquired; analyzing the test data file according to at least one set analysis dimension to obtain a structured test data sequence corresponding to each dimension; extracting valid data from the test data sequence by adopting an event isolation window to form a valid data sequence; determining a test group according to the dimension corresponding to each valid data sequence; according to the effective data sequence of each test group, the reliability index of the test equipment is calculated, the performance of the test system can be comprehensively evaluated from multiple dimensions such as the data dispersion degree, the process specification meeting capability and the measurement reliability of the test system, the efficiency and accuracy of MEMS device test data processing are improved through the automatic processing flow, and the reliability of the test system is improved. Problems in test links can be found in time, and the test quality of batch MEMS devices is guaranteed.

The invention relates to the technical field of intelligent control of gas sensing and measurement, and particularly discloses a gas density measurement method based on a gas densitometer, which comprises the following steps of: acquiring sound velocity data and molecular adsorption dynamic response time data of gas in real time in a measurement process, and respectively extracting a gas compressibility fluctuation characteristic value and a response time adsorption hysteresis characteristic value; and constructing a comprehensive stability feature vector as a key index for evaluating a measurement state. By establishing a gas measurement reliability evaluation model based on a random forest algorithm, quantitative scoring of the credibility of each measurement is realized, and parameters such as sampling frequency and measurement period are automatically adjusted according to a scoring result to form a closed-loop feedback mechanism, so that the accuracy and stability of gas density measurement are improved, and the reliability of gas density measurement is improved. The method enhances the adaptability and robustness of the system under complex working conditions, has the advantages of high intelligent degree, high response speed, wide application range and the like, and is suitable for multi-component gas on-line monitoring and high-precision density detection scenes.

The invention discloses a three-coordinate system calibration method, which belongs to the technical field of three coordinates, and comprises the following steps: arranging a plurality of reference components in a measurement space of a three-coordinate measuring machine, and setting a plurality of mark points on each reference component; continuously measuring each mark point to obtain reference coordinate data; establishing a space coordinate system according to parameters of the measuring machine and the arrangement position of the reference assembly, and calculating theoretical coordinate data of each mark point; in a theoretical scene, comparing the reference coordinate data with the theoretical coordinate data to obtain error values of the mark points in the X-axis direction, the Y-axis direction and the Z-axis direction, and constructing an error distribution function based on the error values; according to the three-coordinate measuring machine, the measurement reliability of the three-coordinate measuring machine in high-precision fields such as machine manufacturing and aerospace is comprehensively improved through global coverage reference layout, scene adaptive adjustment, regional error modeling and a closed-loop verification mechanism, and the three-coordinate measuring machine is particularly suitable for measurement scenes with high edge region precision requirements and complex working conditions.

The application discloses a pressure type liquid level meter remote calibration method and system based on an Internet of Things, and belongs to the field of instrument detection and calibration. The method comprises the following steps: collecting multi-source sensing data containing pressure, medium temperature and ambient atmospheric pressure; performing adaptive median filtering to remove impulse noise and Gaussian weight-based moving average smoothing processing on the pressure data in sequence; based on the preprocessed data, a nonlinear environmental compensation model is constructed by using a recursive least square method with a forgetting factor to dynamically track the nonlinear drift of the sensor; based on the real-time correction coefficient output by the model and the standard calibration curve, the calibration offset is calculated, the calibration instruction is generated, and the parameter update is executed to the terminal; through end-cloud cooperation and multi-source data fusion, the application realizes remote calibration and predictive maintenance with high precision and high safety, and significantly improves the measurement reliability and maintenance efficiency of the liquid level meter under complex working conditions.

The invention discloses a non-specific multivariable sensor state anomaly detection method based on error characteristics, and belongs to the technical field of intelligent perception and control. The method comprises the following steps: firstly, collecting measurement data of a plurality of sensors for the same physical state at the same moment, and establishing a multi-source error boundary model; a measurement error boundary containing noise and delay influence is constructed in combination with error distribution characteristics; then dynamically correcting the noise deviation and the delay offset, and translating and expanding the error boundary of each sensor; and finally, carrying out overlapping analysis on error boundaries of all sensors. According to the method, adaptive consistency detection and anomaly recognition of the measurement result of the multi-source sensor are realized by fusing error characteristics of noise and delay, dependence on specific physical variables is not needed, the model generalization is high, the real-time performance is high, the robustness is good, and the method is suitable for large-scale popularization and application. And the measurement reliability and the operation safety of the system can be effectively improved under the condition that part of sensors fail, drift or are attacked.

The invention discloses an optimal design method of a hydrographic measurement heavy hammer, the heavy hammer and a measurement system. The method comprises the following steps: determining a water surface and water bottom tension change threshold value, a sinking speed and mass and volume constraints; establishing an optimization model which takes the weight volume V, the material density rho and the shape parameter as decision variables and takes the minimum mass m as a target function; and solving the model to obtain an optimal solution and determining the specification of the heavy hammer. The heavy hammer is designed and manufactured according to the method, the shape of the heavy hammer can be spherical, drop-shaped or torpedo-shaped, and the optimal parameters are as follows: the volume V0 is approximately equal to 1.3265 * 10 <-4 > m < 3 >, the density rho0 is approximately equal to 2922kg / m < 3 >, and the mass m0 is approximately equal to 0.3875 kg. The heavy hammer body can adopt a separable assembly structure, a balancing weight can be arranged in the heavy hammer body to adjust the density, and a temperature sensor and a wireless communication module can be integrated. According to the invention, empirical design is converted into scientific optimization, a tension change signal (deltaT1 is greater than or equal to 1.3 N, and deltaT2 is greater than or equal to 2.5 N) is ensured to be obvious, the sinking speed is high (greater than or equal to 1m / s), meanwhile, light weight (m is less than or equal to 0.5 kg) and multifunctional integration are realized, and the contradiction among measurement reliability, efficiency and equipment portability is effectively solved.