CN-121612408-B - Online weighing and metering system and method for hot-metal ladle

CN121612408BCN 121612408 BCN121612408 BCN 121612408BCN-121612408-B

Abstract

The invention belongs to the technical field of weighing and metering, and particularly discloses an online weighing and metering system and method for a hot-metal ladle, wherein the system comprises a transportation data acquisition module, a distributed weighing detection point is distributed, a loading state sensor is arranged, and raw weighing signals, tank wall temperature and position data in the whole process are acquired in real time; the weighing signal processing module is used for carrying out temperature gradient compensation and zero point translation on an original signal based on the temperature of the tank wall to obtain primary correction data, the data fusion and prediction module is used for generating a weight-position-time curve by aligning the data so as to identify an abnormal weight event, evaluate the corrosion state of the tank lining and predict the change trend of the molten iron temperature, and the weighing determination output module is used for carrying out secondary correction on the primary correction data based on an analysis result to output the final molten iron weight. The invention realizes the traceable dynamic weighing in the whole transportation process, improves the accuracy of the weighing result, and further effectively supports the accurate control of the subsequent production operation.

Inventors

LI HONGYONG
WANG CHAOJU
XU YUBAO
CHEN JIANMING
XU GUOWEN

Assignees

中新钢铁集团有限公司

Dates

Publication Date: 20260508
Application Date: 20260202

Claims (6)

1. An online weighing and metering system for a hot-metal ladle, comprising: the transportation data acquisition module is used for acquiring original weighing signals, tank wall temperature and position data in the whole transportation process in real time; the weighing signal processing module is used for correcting the original weighing signal based on the tank wall temperature to obtain primarily corrected weighing data; The data fusion and prediction module is used for performing time stamp alignment on the weighing data after the primary correction and the position data to generate a weight-position-time curve of the whole hot metal ladle, and identifying abnormal weight event characterization, tank lining erosion state characterization and molten iron temperature change trend characterization in the transportation process based on curve analysis; the weighing determination output module is used for correcting the weighing data after primary correction again based on the analysis result in the transportation process and outputting the final weight of molten iron; The original weighing signals are collected through the following steps: acquiring a first original weighing signal through distributed weighing detection points distributed on a transportation path, and simultaneously acquiring a second original weighing signal through a weighing sensor arranged on a hot metal ladle car body; when the hot-metal bottle is positioned at the position of the weighing detection point, the first original weighing signal is used as an original weighing signal finally output; calculating measurement deviation of the first original weighing signal and the second original weighing signal, and updating the zero point and the sensitivity coefficient of the weighing sensor in real time based on the measurement deviation; When the hot-metal ladle is in a running interval between two weighing detection points, taking a second original weighing signal acquired by the last updated weighing sensor as a final output original weighing signal; correcting the original weighing signal comprises: acquiring space coordinates and real-time temperature readings of at least three temperature probes arranged at different positions on a weighing sensor mounting base and an adjacent bearing structure; Constructing a temperature field of the installation area of the weighing sensor by adopting a spatial interpolation algorithm; selecting a stress structure area containing pressure-bearing points and a force transmission path of a weighing sensor in the temperature field, and calculating the temperature change rate of each pressure-bearing point in the area in the axial direction and the radial direction of the sensor; determining a temperature gradient compensation amount based on the temperature change rate; calculating the average temperature of the region according to the temperature field, and positioning the zero offset corresponding to the average temperature of the region from a characteristic curve based on a preset temperature drift characteristic curve; Performing zero translation on the original weighing signal based on the zero offset, subtracting the temperature gradient compensation amount from the translated real-time original weighing signal, and outputting primarily corrected weighing data; the analysis and identification process of the tank lining erosion state characterization comprises the following steps: In each transportation cycle, when the hot metal ladle is in an empty state and passes through any weighing detection point, collecting empty ladle weight measurement values, recording corresponding passing time, and constructing an empty ladle dead weight historical sequence arranged in time sequence; Smoothing the empty tank dead weight historical sequence, and extracting an empty tank dead weight long-term decreasing component representing the loss of the tank liner through a trend decomposition algorithm; Extracting the effective inner surface area of the ladle lining and the density of lining materials from the structural parameters of the ladle; based on the empty tank dead weight long-term decreasing component, the effective inner surface area of the tank liner and the liner material density, calculating to obtain the equivalent average corrosion thickness of the tank liner, and representing the equivalent average corrosion thickness as the corrosion state of the tank liner; the re-correcting the weighing data after the primary correction comprises the following steps: synchronously reading the abnormal weight event characterization and the molten iron temperature change trend characterization; For each unexpected weight drop event recorded in the abnormal weight event characterization, acquiring a starting point weight value and an ending point weight value recorded by the unexpected weight drop event, and calculating a weight loss; acquiring a real-time molten iron temperature estimated value in a time period corresponding to the event, and calculating the average change rate of the molten iron temperature in the time period through linear fitting; processing the weighing data after the primary correction in the time period based on the average change rate of the molten iron temperature; Reading equivalent average corrosion thickness in the tank lining corrosion state characterization, and calculating the reduction of the dead weight of the tank body caused by lining loss by combining the effective inner surface area of the tank lining and the density of lining materials; and taking the dead weight reduction amount as a zero point compensation value, performing zero point translation correction on the processed weighing data, and outputting the final molten iron weight.
2. The online weighing and metering system for hot-metal ladle according to claim 1, wherein the determining the temperature gradient compensation amount comprises: Calculating comprehensive axial thermal strain and comprehensive shear thermal strain based on the space coordinates of each pressure-bearing point, the axial temperature change rate and the radial temperature change rate, and the thermal expansion coefficient of the material of the sensor mounting structure; based on a preset output sensitivity coefficient of the weighing sensor to the axial thermal strain and the shearing thermal strain, converting the comprehensive axial thermal strain and the comprehensive shearing thermal strain into corresponding weighing reading deviation; And summing the two weighing reading deviations, and outputting the temperature gradient compensation quantity.
3. The online weighing and metering system for hot-metal ladle as recited in claim 1, wherein the analysis and identification process of the abnormal weight event characterization comprises the following steps: carrying out real-time differential calculation on the weight-position-time curve to obtain real-time weight change rate and weight change acceleration corresponding to each transportation interval; based on the weight change rate and the weight change acceleration, whether the following conditions are triggered is judged: the weight change rate is continuously negative and its absolute value exceeds a preset rate threshold; The weight change acceleration exceeds a preset acceleration threshold; if a certain transportation interval triggers any condition, judging that an unexpected weight drop event occurs, marking a starting point and an ending point of the transportation interval on the weight-position-time curve, and recording weight values corresponding to the starting point and the ending point; and integrating at least one unexpected weight drop event and weight values corresponding to the starting point and the ending point of the unexpected weight drop event, and taking an integration result as the abnormal weight event representation.
4. The online weighing and metering system for hot metal ladle according to claim 1, wherein the analysis and identification process of the molten iron temperature change trend characterization comprises the following steps: Taking the tapping temperature of molten iron in a blast furnace as an initial state, and establishing a thermodynamic model based on the geometric dimension of a molten iron tank; Taking the real-time collected data of the tank wall temperature as an observed value, and inputting the observed value into a state estimator corresponding to the thermodynamic model; and updating the estimated value of the current molten iron temperature in real time through the state estimator, outputting the updated real-time estimated value of the molten iron temperature, and taking the updated estimated value of the current molten iron temperature as the representation of the change trend of the molten iron temperature.
5. The online weighing and metering system for hot-metal ladle as recited in claim 1, wherein the processing process of the weighing data after the initial correction comprises the following steps: If the average change rate of the molten iron temperature exceeds a preset rate threshold, judging that the abnormal weight event is a wall built-up solidification event, otherwise, judging that the abnormal weight event is a leakage event; When the wall-hanging solidification event is caused, the original data of the weighing data after the primary correction in the time period are reserved; And when the weighing data is a leakage event, generating reconstruction weight data of the time period through an interpolation algorithm based on the weight values of the starting point and the ending point, and replacing the data of the corresponding time period in the weighing data after the initial correction.
6. An online weighing and metering method for a hot-metal ladle, which is characterized by being completed by using the system according to any one of claims 1 to 5, and comprising the following steps: Distributing a plurality of distributed weighing detection points on a hot-metal ladle transportation path, installing a tank-mounted state sensor on the hot-metal ladle, and collecting original weighing signals, tank wall temperature and position data in the whole transportation process in real time; Correcting the original weighing signal based on the tank wall temperature to obtain primarily corrected weighing data; Performing time stamp alignment on the primarily corrected weighing data and the position data to generate a weight-position-time curve of the whole hot metal ladle, and identifying abnormal weight event characterization, lining erosion state characterization and molten iron temperature change trend characterization in the transportation process based on curve analysis; And (3) correcting the weighing data after the primary correction again based on the analysis and identification result in the transportation process, and outputting the final molten iron weight.

Description

Online weighing and metering system and method for hot-metal ladle Technical Field The invention belongs to the technical field of weighing and metering, and particularly relates to an online weighing and metering system and method for a hot-metal ladle. Background The hot metal ladle is a transport device for receiving, transporting and cashing high-temperature molten iron in a steel enterprise, the transport device is directly connected with a blast furnace and a converter, and the weight of the internal molten iron determines the execution effect of a plurality of tasks of production scheduling, steelmaking batching and safety control, so that the importance of real-time weight measurement is highlighted. In the prior art 1, as disclosed in China patent application No. 202210974408.3, the online weighing, metering, temperature measuring and sampling equipment, system and method for the hot metal ladle integrate three functions of online weighing, temperature measuring and sampling into a whole, and the turnover rate and the effective smelting time of the hot metal ladle are improved by intensively and rapidly completing multiple key data acquisition and sample acquisition. The automatic weighing device for the molten iron pouring station disclosed in the Chinese patent application with the application number 201610071977.1 in the prior art 2 detects the dip angle of the torpedo ladle through an angle sensor, combines a preset delay control algorithm, realizes automatic control and online weighing in the pouring process, realizes automatic weighing in the iron receiving process, replaces manual confirmation, and meets the dual requirements of fast-paced production and accurate metering. The existing scheme is to weigh at fixed point positions, such as a ladle pouring station and before steelmaking, the actual weight of molten iron in the transportation process is dynamic, and the fixed point measurement result cannot represent the real-time net weight of a vehicle in the transportation process and about to arrive, so that hysteresis and deviation exist in the burden calculation basis of converter steelmaking. And the loss can not be positioned in time mainly in the transportation stage, so that abnormal changes in the transportation process can not be known. In the prior art 1, weighing, temperature measurement and sampling are integrated, but the data of the prior art is still mainly used for the node before steelmaking, is not related with transportation logistics information and the like, and cannot be used for predictively judging the temperature decrease trend of a hot metal ladle, the corrosion condition of a ladle lining and the like based on continuous data, so that the temperature of molten iron when reaching a converter cannot be accurately predicted, and the cumulative effect of the refractory corrosion of the ladle body cannot be counted. Disclosure of Invention In view of this, in order to solve the above problems, an online weighing and metering system and method for a hot metal ladle are proposed. The invention provides an online weighing and metering system for a hot-metal ladle, which comprises a transportation data acquisition module, a control module and a control module, wherein the transportation data acquisition module is used for acquiring original weighing signals, tank wall temperature and position data in the whole transportation process in real time according to a plurality of distributed weighing detection points distributed on a transportation path of the hot-metal ladle and a tank-mounted state sensor arranged on the hot-metal ladle. And the weighing signal processing module is used for correcting the original weighing signal based on the tank wall temperature to obtain primarily corrected weighing data. And the data fusion and prediction module is used for performing time stamp alignment on the weighing data after the initial correction and the position data to generate a weight-position-time curve of the whole hot metal ladle, and identifying abnormal weight event characterization, lining erosion state characterization and molten iron temperature change trend characterization in the transportation process based on curve analysis. And the weighing determination output module is used for correcting the weighing data after the primary correction again based on the analysis and identification result in the transportation process and outputting the final molten iron weight. The invention also provides an online weighing and metering method of the hot-metal ladle, which comprises the steps of arranging a plurality of distributed weighing detection points on a hot-metal ladle transportation path, installing a tank-mounted state sensor on the hot-metal ladle, and collecting original weighing signals, tank wall temperature and position data in the whole transportation process in real time. And correcting the original weighing signal based on the tank wall temperature to obtain prima