215 results about "Time curve" patented technology

The invention discloses a device for measuring flowability of explosive modeling powder, which comprises a step-press-loading analogue unit, a timing and weighing unit and a computer control unit, wherein the step-press-loading analogue unit directly and indirectly drives a screw rod which extends into a blanking bin to rotate and perform reciprocating movements along an axial line and drives a pusher dog in the blanking bin to perform the reciprocating movements along an arc section through the combined action of a cylinder and a pneumatic reversal valve so as to ensure that the explosive modeling powder in the blanking bin falls into the timing and weighing unit, and the process more truly imitates an explosive conveying process of an explosive step-press process. The timing and weighing unit transmits a weighing value of the explosive modeling powder which falls in the timing and weighing unit to the computer control unit in real time, and the computer control unit calculates the instantaneous flow speed of the explosive modeling powder of a north side and generates a flow speed-time curve according to sampling data. The device can measure the flowability of the explosive modeling powder so as to provide an objective basis for choosing a proper explosive step-press process for the explosive modeling powder.

The invention provides an oil seal press-fitting abnormity real-time detection method based on pressure displacement curve analysis, and relates to the technical field of oil seal assembly control. Pressure displacement data acquisition is executed and a real-time pressure displacement curve is fitted when press-fitting equipment is started; based on displacement progress threshold triggering stage switching of the time sequence displacement data, an association stage characteristic curve is called from the oil seal press-fitting reference template; comparing the characteristic curve in the association stage with the real-time pressure displacement curve to solve a real-time curve deviation vector; and according to the real-time curve deviation vector mapping physical failure abnormal mode, self-adaptive adjustment of oil seal press-fitting process parameters is triggered. The technical problems that in the prior art, a continuous press-fitting process is adopted for oil seal assembly, rubber stress concentration is caused, hydraulic locking is formed due to lubricant retention, and the press-fitting depth is out of control are solved. Physical failure prevention in the oil seal assembly process is achieved, it is guaranteed that the press-fitting depth meets the technological specification tolerance in the whole process, oil seal assembly defects are restrained, and the sealing reliability of an engine is improved.

The invention discloses a bridge structure monitoring method based on multi-source data and digital twinning and a related device, and relates to the technical field of bridge engineering.The method comprises the steps that an initial finite element model of a target bridge is constructed based on a design drawing and structural parameters of the target bridge, and the initial finite element model of the target bridge is constructed based on the initial finite element model and preset load conditions; calculating to obtain simulation mechanical response data of each grid node of the target bridge; based on the simulation mechanical response data and the obtained actually measured mechanical response data of each grid node of the target bridge, obtaining a corrected finite element model; inputting the obtained traffic load data passing through the target bridge into a digital twinborn calculation model constructed based on the corrected influence line data for numerical calculation to obtain an overall structure response cloud picture and a structure response-time curve of the key monitoring point, and fusing the overall structure response cloud picture and the structure response-time curve with the obtained three-dimensional visualization model to obtain a three-dimensional visualization model; and obtaining the structural state of the target bridge. According to the invention, accurate monitoring and real-time state evaluation of the bridge structure are realized.

The invention discloses a deep foundation bearing capacity characteristic value calculation method and system based on data fusion. The method comprises the steps that data collection is completed through a deep load test, and a load settlement curve and a settlement time logarithmic curve are formed; generating a smooth curve; identifying a slope mutation point of the curve by adopting a first-order derivative mutation method, wherein a load corresponding to the mutation point is a proportional limit load; if the slope abrupt change point is not recognized, the curve is set as a slowly changing curve; extracting the slope and the slope change rate of the curve under each level of load, and completing the judgment and correction of the limit load by fusing the multi-dimensional data of the two curves and combining preset thresholds including the settlement amount and the settlement stabilization time; and further calculating the bearing capacity characteristic value of the deep foundation by combining the numerical relationship between the ultimate load and the proportional limit load.

The invention relates to the technical field of pipeline safety monitoring, in particular to a long-distance pipeline risk event distinguishing monitoring system and method based on artificial intelligence. The artificial intelligence-based long-distance pipeline risk event distinguishing monitoring method comprises the following steps of S10, acquiring humidity time sequence data and anode output current time sequence data of soil in an area where a target pipe section is located, and respectively drawing a humidity time curve and a current time curve; acquiring a vibration signal acquired by the optical fiber sensing network; and S20, periodically fluctuating according to the current-time curve. According to the method, the relation between the regional self-adaptive humidity saturation interval and the corrosion rate is established, the huge cost for customizing a vibration analysis model for each region is avoided, the event recognition accuracy is improved under high-risk scenes such as coating damage by utilizing deep coupling of the corrosion state and vibration, and the event recognition efficiency is improved. And passive alarm is converted into active and accurate early warning based on humidity prediction.

The invention discloses an ant colony optimization energy focusing cable insulation damage positioning method and device, and relates to the technical field of cable detection engineering, and the method comprises the steps: generating a Gaussian envelope linear frequency modulation chirp detection signal, injecting the detection signal into a to-be-detected cable, and collecting an incident signal and an echo signal containing a reflection component; constructing a parameterized time-frequency analysis kernel function family under a Cohen type time-frequency distribution framework, and searching and optimizing kernel parameters by using an ant colony optimization algorithm; and calculating the time frequency distribution and energy-time curve of the signal based on the energy focusing time frequency analysis kernel function obtained through optimization, extracting the arrival time corresponding to an energy peak value, and realizing cable insulation damage positioning according to the reflection time delay and the propagation wave velocity. According to the method, energy peak focusing and peak position stability are enhanced while cross terms are restrained, defect positioning precision and robustness are remarkably improved, and the method is suitable for engineering online detection and automatic implementation of cable insulation damage.

The invention belongs to the technical field of data processing, and discloses a Mars probe temperature monitoring method and system based on time control factor optimization, and the method comprises the steps: obtaining simulated fire soil, and carrying out the screening processing and dense state preparation processing, and obtaining a plurality of relatively dense state samples; performing simulated temperature monitoring on the plurality of samples in the relatively dense state to obtain a plurality of temperature-time curves, and performing piecewise linear fitting to obtain thermal response characteristics of the simulated fire soil; performing optimal monitoring time period analysis and optimal monitoring duration analysis according to the thermal response characteristics to obtain an optimal passive monitoring time window and duration strategy; and determining target to-be-monitored fire soil, and performing real temperature monitoring on the target to-be-monitored fire soil according to the optimal passive monitoring time window and the duration strategy to obtain an optimal temperature monitoring result. According to the invention, the temperature of the fire soil to be measured can be accurately monitored, so that the assessment precision of the passing ability of the Mars rover is effectively improved, and the driving safety of the Mars rover is ensured.

The invention discloses an elbow joint rehabilitation training evaluation method and system, and the method comprises the following steps: S1, collecting multi-cycle motion data and surface myoelectricity data when a patient executes a specified rehabilitation motion in a standard state through an inertia measurement unit and a surface myoelectricity sensor which are disposed on the upper limb of the patient, based on this data, establishing a personal motion baseline template comprising a standard angle-time curve and a standard muscle activation level; s2, in the rehabilitation training process, motion data and surface myoelectricity data are collected in real time, and the following operations are executed: S21, a joint motion range and a motion smoothness index are extracted from the motion data; s22, muscle activation intensity and collaborative shrinkage are extracted from the surface myoelectricity data; according to the method, individuation of evaluation standards, diversification of monitoring dimensions and dynamic weight adjustment are achieved, the accuracy and safety of rehabilitation training can be effectively improved, and the method has important clinical application value.

The invention discloses a pile forming form and inter-pile soil compactness evaluation method based on vibro-replacement gravel pile construction data. The method comprises the steps of finding a pseudo-residual vibration working section according to a real-time construction depth-time curve, determining a key stage according to a real-time construction filling amount-time curve, finally finding a time node of downward insertion / upward pulling of a gravel pile by a vibroflot according to an amplitude change rule of a real-time construction current-time curve, calculating a transverse extrusion and expansion range after reinforcement, and finally determining a reinforcement result. And the pile forming form is estimated, and the average compactness of the soil between the piles of the reinforced field is calculated. According to the method, evaluation of the pile forming form and the compactness of the soil between the piles is achieved through on-site construction data, and the method has the advantages of being high in evaluation speed, high in accuracy and the like and is suitable for reinforcing effect evaluation of the vibro-replacement gravel pile treatment foundation with the down-inserting and up-pulling construction technology.

This invention discloses a method, system, and self-moving device for multi-sensor clock synchronization. The method is applied to a self-moving device including a first sensor and a second sensor. The method includes generating a first rotational speed-time curve for the first sensor and a second rotational speed-time curve for the second sensor during the rotation of the self-moving device; determining the phase difference between the first and second rotational speed-time curves; and adjusting the clocks of the first and second sensors to be synchronized based on the phase difference. This method and system for multi-sensor clock synchronization more intelligently and effectively improves the efficiency of multi-sensor clock synchronization.

The invention relates to a new energy-containing power grid optimal splitting section searching method based on branch transient potential energy, which comprises the following steps: acquiring power grid data, inputting the power grid data into a generator node potential energy model, and acquiring a potential energy time sequence of nodes in each generator; k-Means clustering based on Euclidean distance is carried out on the potential energy time sequence, a same visual coding color system is given to a generator potential energy time curve of a coherent group according to a clustering result, and power grid constraints are further set; and calculating branch potential energy indexes of all branches, searching an initial solution by taking the minimum branch potential energy index as a target function, uniformly converting power grid constraints into penalty terms by adopting a BBO-TS algorithm, fusing the penalty terms into the target function, and searching an optimal splitting section in a feasible region. According to the invention, the operation environment of the new energy unit after splitting is improved, and the island voltage and frequency stability after splitting is improved.

The invention discloses a method for rapidly generating non-uniform structure characteristics and mechanical properties of a weld zone, and belongs to the technical field of welding quality assessment, and the method comprises the following steps: S1, obtaining a characteristic temperature-time curve representing a weld thermal history through a dynamic temperature measurement method; s2, inputting the characteristic temperature-time curve and the chemical components of the base metal into a thermal-metallurgical coupling model, and predicting a non-uniform microstructure phase distribution diagram of the weld seam area; and S3, based on a semi-empirical mechanical model, mapping the non-uniform microstructure phase distribution diagram into a mechanical property distribution diagram of the welding seam area, and completing rapid identification of the microstructure characteristics and the mechanical properties. According to the rapid generation method for the non-uniform structure characteristics and the mechanical properties of the welding seam area, rapid and non-destructive identification of the non-uniform structure and the properties of the welding seam is achieved, the defects of lag and damage of a traditional method are overcome, and an effective means is provided for online evaluation of the welding quality and process optimization.

The present application belongs to the field of mechanics, and particularly relates to a method for eliminating error of a quasi-static compression mechanics experiment system. By using a constant pressure or a constant loading speed of a pressure head on a testing machine to perform quasi-static uniaxial compression on a test piece at room temperature, and taking two test pieces of different heights, the relationship between the system stiffness, the force and deformation of the system pressure head can be obtained, so as to obtain two corresponding force-time curves and displacement-time curves. By combining the two equations and eliminating the unknown Young's modulus E, the stiffness coefficient of the test system can be obtained, and the displacement-time curve of the pressure head can be obtained. Subsequently, the Young's modulus E can be inversely solved. The present application corrects the error of the mechanics experiment by defining the system stiffness coefficient, so as to realize a higher precision of the Young's modulus E and improve the accuracy of the quasi-static mechanics experiment.

The present application belongs to the technical field of weighing measurement, and specifically discloses an online weighing measurement system and method for molten iron ladles, which comprises a transportation data acquisition module, distributed weighing detection points and ladle load state sensors are arranged, and original weighing signals, ladle wall temperatures and position data are collected in real time throughout the whole process; a weighing signal processing module, which performs temperature gradient compensation and zero point translation on the original signals based on the ladle wall temperature to obtain primary corrected data; a data fusion and prediction module, which generates a weight-position-time curve by aligning the data, thereby identifying abnormal weight events, evaluating the erosion state of the ladle lining and predicting the temperature change trend of the molten iron; and a weighing determination output module, which performs secondary correction on the primary corrected data based on the analysis results and outputs the final weight of the molten iron. The present application realizes dynamic weighing that can be traced throughout the whole transportation process, improves the accuracy of the weighing results, and thus effectively supports the precise control of subsequent production operations.

This invention discloses a method and system for constructing a vehicle body distortion model, a train model, and a system thereof. The method includes obtaining similarity factors for various design variables; establishing a full-size equivalent vehicle body model based on the stiffness equivalence principle; constructing a vehicle body distortion model based on the similarity factors of the various design variables and the required thickness or a preset thickness distortion coefficient; calculating the distortion coefficient corresponding to the dynamic response-time on the vehicle body distortion model based on the distortion relationship between the thickness distortion coefficient and the dynamic response-time; and correcting the dynamic response-time curve of the vehicle body distortion model based on the distortion coefficient corresponding to the dynamic response-time. This invention aims to correct the dynamic response of a vehicle body distortion model by determining the distortion coefficients of other dynamic responses through the relationship between the thickness distortion coefficient and the distortion coefficients of other dynamic responses, thereby correcting the dynamic response of the vehicle body distortion model and reducing the impact of thickness distortion on the model's dynamic response.

In one aspect, a detection device is described, comprising: at least one sensor configured to detect a signal of a fluid sample comprising at least one analyte at a plurality of time points within a time period to generate a plurality of readouts of the signal each measured at one of the plurality of the time points within the time period; a first processor configured to generate a temporal profile of the readouts; a memory storing a database comprising a plurality of temporal profiles, each generated from a plurality of readouts of the signal of a known analyte measured by the sensor at the plurality of time points within the time period; a second processor configured to compare the generated temporal profile of the fluid sample with the database to determine the identity and / or concentration of the analyte in the fluid sample; wherein the first and second processors can be the same or different processors. Methods of using detection device for analyzing a fluid sample are also described.

This invention discloses a method and equipment for evaluating tight reservoir gas well parameters based on stress sensitivity, including: acquiring actual production data of the gas well; determining the reservoir stress sensitivity coefficient; obtaining a normalized production-mass balance pseudo-time curve, a normalized production integral-mass balance pseudo-time curve, and a normalized production integral derivative-mass balance pseudo-time curve considering stress sensitivity; fitting the above three curves to a typical curve chart for production instability analysis to determine the time shift, production shift, and position number; obtaining the dynamic reserves of the first gas well and the second gas well; using the average of the dynamic reserves of the first and second gas wells as the dynamic reserves of the gas well under the mutual constraint of the flow mass balance method and the chart fitting method; and calculating reservoir parameters and fracture parameters. This invention enables accurate evaluation of parameters such as dynamic reserves of gas wells in low-permeability tight gas reservoirs, and can conveniently, quickly, accurately, and effectively evaluate gas well parameters and reservoir parameters.

The present disclosure relates to an automatic driving vehicle speed planning method, device, electronic equipment and medium. The method comprises: determining a drivable area of a vehicle to be speed planned in a space-time relationship graph, the space-time relationship graph being associated with a planned driving track of the vehicle; determining a plurality of nodes in the space-time relationship graph, each node of the plurality of nodes indicating a corresponding spatial position of the vehicle at a specific time in the planned driving track; determining a node at a next time in the drivable area based on a node corresponding to the vehicle at a current time, to obtain a space-time curve corresponding to the planned driving track in the space-time relationship graph; and obtaining a target planning speed of the vehicle at different times based on the space-time curve. In this way, automatic driving speed planning can be efficiently realized with low computational complexity, hardware cost is reduced, and driving safety and driving experience are guaranteed.

The scheme discloses a method for quickly and accurately characterizing the chemical reaction activity of milk of lime, and steps are as follows: A: pouring appropriate amount of water into a detection cup and a sample cup, opening a stop valve to make the liquid on both sides communicate, and making the liquid surface reach the upper edge of a communicating pipe and be flush with both sides; B: closing the stop valve and recording the initial conductivity value of the detection cup; C: using a sampling dropper to suck a little milk of lime to be measured and quickly dropping the milk of lime into the sample cup; meanwhile, opening the stop valve and a timer; D: recording the instantaneous conductivity of the liquid phase in the detection cup every other timing unit; E: continuously recording until the conductivity value tends to be stable, and the conductivity meter reading recording is ended after no obvious increase and decrease occurs; F: inputting data into a table to generate a diffusion conductivity-time curve, and characterizing and evaluating the activity of the milk of lime sample through the curve coverage area.

The embodiment of the invention discloses a visual user interaction cooking control method and system based on AR / VR, and the method comprises the steps: generating an initial power frequency control curve in a self-adaptive manner according to a user health file and health target parameters, and carrying out the heating according to the power frequency control curve; predicting an ideal temperature-time curve according to the power frequency control curve, and displaying the ideal temperature-time curve in a VR visualization manner; carrying out self-adaptive adjustment on the independent power and frequency of each heating area; obtaining a short-time risk index within a preset time, establishing an online optimization health objective function based on the short-time risk index, and solving an optimal adjustment amount which is used for correcting an initial power frequency control curve; and displaying the virtual firepower ring, the risk level and the health score in an overlapped manner through an AR interface. According to the invention, dynamic user adaptation is realized, the risk of grease oxidation and cooking fume generation is reduced, and intuitive visual interaction experience is provided.

The invention discloses a hot-rolled plate structure toughness prediction method and system combined with an impact energy change curve, and belongs to the technical field of metal material structure performance evaluation.The method comprises the steps that an impact test is conducted on a hot-rolled plate sample, and an impact force-displacement curve and an energy absorption-time curve are collected in real time; preprocessing the impact force-displacement curve and the energy absorption-time curve, and extracting characteristic parameters; acquiring hardness distribution data of the hot-rolled plate sample, acquiring hardness gradient data by using the hardness distribution data, and taking the hardness gradient data as a correction factor of the curve characteristics; constructing a structure toughness prediction model based on the characteristic parameters and the correction factors, and predicting the toughness grade and the structure state of the hot-rolled plate; and outputting the toughness grade and the structure state of the hot-rolled plate. According to the method, the limitation that traditional metallographic detection consumes too long time and an impact test only provides a single value is solved, double evaluation results can be obtained within 30 seconds after the impact test, and the method is suitable for rapid online quality monitoring and process adjustment of hot rolling production.

The invention relates to a monitoring method and equipment of a purified water filling system and a medium. The purified water filling system comprises a water storage tank, a conveying pump, a filling head, a conveying hose and a tension sensor; wherein the conveying hose is connected with the water storage tank and the filling head; the tension sensor is arranged on the conveying hose; according to the method, a tension sensor is arranged on a conveying hose, and the tension change of the conveying hose in the filling process is detected in real time; according to the original tension value reflected by the tension sensor, the first preset stable interval and the second preset stable interval, the time period with unstable flow is determined, and the key tension value is marked; on the basis of the area difference value between the key tension value-time curve and the standard tension value-time curve, the compensation duration corresponding to the current filling process is determined, so that the filling ending time point is subjected to self-adaptive correction, the filling amount deviation caused by unstable instantaneous flow flowing through the conveying hose can be effectively overcome, and the filling quality is improved. And the filling precision can be improved.

The invention relates to the technical field of rehabilitation training, in particular to a hand function evaluation training method and system based on multi-sensor fusion, and the method comprises the steps: obtaining electromyographic signals of a plurality of motor muscle groups, angles of a plurality of finger joints and grip strength of a patient in last training; fitting the electromyographic signals of each motion muscle group at multiple moments to obtain an electromyographic signal-time curve of each motion muscle group, and calculating the muscle group stability degree; calculating the finger joint stability degree according to the angles of the finger joints at the multiple moments; calculating a hand function evaluation coefficient; and correcting the training intensity of the patient in the last training according to the hand function evaluation coefficient to obtain the training intensity of the patient in the current training. The adjustment amplitude of the training intensity is determined through the evaluation result, the safety of hand function training of the patient is ensured, and the training efficiency is improved.

A control method for an electronic fuse includes detecting current passing through the electronic fuse regularly at a time interval; storing a plurality of current values detected at a plurality of time points; determining a plurality of trip currents corresponding to a plurality of trip times based on the plurality of current values, including dividing the plurality of trip currents into two portions for determination, where the first portion is obtained by performing a plurality of arithmetic averaging operations on the stored current values, and the second portion is obtained by performing a plurality of arithmetic averaging operations on the current and previously calculated trip currents; comparing the plurality of trip currents with current values corresponding to the plurality of trip times in a trip current versus trip time curve, to generate a plurality of comparison results for controlling a state of the electronic fuse.

The wetland hydrological connectivity zoning method disclosed in this invention includes the following steps: S1, acquiring basic data; S2, based on the basic data, constructing and calibrating a hydrodynamic model to obtain the daily spatiotemporal distribution of water level for a hydrological year; S3, based on the simulation results, extracting water level change process data within the inundated area to form a water level-time curve; S4, normalizing the water level-time curve; S5, calculating water level change characteristic values ​​based on the normalized curve; S6, performing cluster analysis on the water level change characteristic values ​​to obtain initial classification results; S7, displaying the initial classification results according to spatial coordinates to identify hydrological connectivity patches; S8, based on the principal components of the water level sequence and spatial distance of each patch, constructing a comprehensive distance matrix and performing hierarchical clustering to delineate hydrological connectivity zones. This invention solves the problem that existing wetland hydrological connectivity zoning methods are unable to accurately determine the specific boundaries of each zone.

The application relates to a micro-nano scale indentation test method for high-temperature yield strength of materials, and belongs to the technical field of material strength test, which comprises the following steps: S1, fixing a sample to be tested on a sample table, and vacuumizing a sample bin; S2, temperature matching of the sample to be tested and a flat pressure head, so that thermal equilibrium is achieved between the flat pressure head and the sample to be tested; S3, indentation test of the sample to be tested by the flat pressure head, and obtaining a curve of displacement and load change with time; S4, non-parametric regression method is used to smooth the displacement load or displacement time curve, then the curve is differentiated, an analysis area is selected on the differentiated curve, and a segmented linear function is used for fitting to obtain a yield point, and yield strength of the sample is calculated according to the load of the yield point and the diameter of the flat pressure head. The method provided by the application can obtain yield strength at room temperature and above room temperature which is difficult to measure by conventional methods, and has high test precision and small uncertainty.

The invention discloses a middle-aged and elderly people health risk early warning and collaborative rescue scheduling method during travel, and relates to the technical field of data processing, and the method comprises the steps: 1, continuously collecting vital sign data, motion data and geographic position data of middle-aged and elderly people in a wearable terminal and a mobile terminal, generating a minute-level sample sequence of the travel health state of the middle-aged and elderly people and performing basic risk level division; 2, constructing an individual Gaussian process time sequence health risk time curve model in the server based on the middle-aged and elderly travel health state minute-level sample sequence, calculating a system condition value-at-risk index, and executing collaborative rescue scheduling decision vector search; 3, health risk early warning and cooperative rescue scheduling on the middle-aged and elderly people during travel are realized; according to the method, the accuracy of risk prediction, the sensitivity of space identification and the systematicness of a scheduling strategy can be improved at the same time, so that early warning is advanced, rescue is timely, and resource allocation is more reasonable.

The invention discloses a network dynamics method and system of complex numbers and trigonometric functions for representing medicine vibration and rhythm effects and a storable medium thereof, and belongs to the field of biological medicine effect analysis. The method comprises the following steps: S1, establishing a network dynamics mathematical model of a complex number and a trigonometric function according to vibration and rhythmicity characteristics of medical action; s2, measuring the intensity of the observation index at different time points, and obtaining a time sequence effect curve of the observation index; s3, performing curve fitting on the time sequence effect curve obtained in the S2 based on the mathematical model established in the S1 to obtain a plurality of action parameters, and constructing a quantity-time curve or an effect-time curve based on the plurality of action parameters; and S4, performing statistical moment analysis on the quantity-time curve or the effect-time curve constructed in the S3, and analyzing action quantity-time-effect parameters to obtain the vibrativity, the rhythmicity and the network action rule of the medical action. The invention has breakthrough significance for developing new compound medicines and diagnosis and treatment equipment, and has huge potential economic benefits.

The present application relates to a kind of soft package lithium battery thermal parameter synchronous identification device and method based on local heat flow loading and three-dimensional analytical model, method includes: carrying soft package lithium battery thermal parameter synchronous identification device, and the temperature-time curve of thermocouple measuring point in heating process is collected;Establish the three-dimensional transient heat conduction analytical model of battery target area, and set boundary condition;Three-dimensional transient heat conduction analytical model is solved using separation of variables method, and temperature field analytical model is obtained, for calculating the model temperature rise value of each measuring point in different time three-dimensional transient heat conduction analytical model;With the error sum of squares between the experimental measurement temperature rise value of all thermocouple measuring points in different time and model temperature rise value reaches minimum as objective function, by least square fitting the temperature-time curve of all thermocouple measuring points and model temperature rise value, obtain the parameter to be identified.The present application is applicable to the battery thermal characteristic research under different temperature conditions.

A method for the quality-assessed metering by means of a pipetting device, the method including the following steps:—carrying out a metering process by moving a pipetting plunger, —recording the time curve of the working-gas pressure in a pipetting channel during the metering process, —comparing the curve of the working-gas pressure on the basis of the recorded time curve of the working-gas pressure with a predetermined target pressure value range, and—outputting a quality assessment of the metering process on the basis of the result of the comparison step; in order to improve the quality assessment, the control device carries out the following further steps while the pipetting channel is filled exclusively with working gas as fluid:—carrying out corrective-pressure determination by moving the pipetting plunger, and—measuring a pressure of the working gas in the pipetting channel as a corrective pressure during the corrective-pressure determination, wherein, prior to the comparison step, the control device corrects the time curve of the working-gas pressure recorded during the metering process on the basis of the corrective pressure measured during the, so that the comparison step is carried out using the corrected time curve of the working-gas pressure.