CN-121994373-A - Temperature detection method and system for hot galvanizing zinc pot

CN121994373ACN 121994373 ACN121994373 ACN 121994373ACN-121994373-A

Abstract

The invention relates to the technical field of temperature detection and discloses a temperature detection method and a temperature detection system for a hot galvanizing zinc pot, wherein the system comprises an anomaly judgment module, a detection module and a temperature detection module, wherein the anomaly judgment module analyzes surface image data and judges whether the inside of the hot galvanizing zinc pot has temperature anomaly or not based on analysis results; the temperature analysis module is used for determining the temperature gradient of the interior of the hot-dip galvanized zinc pot along the vertical direction based on the residual standard temperature sequence, and the abnormality grade determination module is used for determining the severity of the temperature abnormality of the interior of the hot-dip galvanized zinc pot according to the temperature gradient. The invention obviously improves the real-time performance, accuracy, comprehensiveness and reliability of the temperature detection of the hot galvanizing zinc pot.

Inventors

DONG NAN

Assignees

浙江良亿船舶管业加工有限公司

Dates

Publication Date: 20260508
Application Date: 20260214

Claims (10)

1. A temperature sensing system for a hot dip zinc pot, comprising: the anomaly judgment module is used for determining a workpiece to be galvanized, collecting surface image data of the workpiece to be galvanized, analyzing the surface image data and judging whether the temperature anomaly exists in the hot galvanizing zinc pot or not based on an analysis result; The sampling module is connected with n temperature sensors arranged in the hot galvanizing zinc pot, and is used for collecting temperature data of each temperature sensor when judging that the temperature in the hot galvanizing zinc pot is abnormal, preprocessing the temperature data to obtain standard temperature data, and constructing a standard temperature sequence based on a time sequence; the temperature analysis module is used for analyzing the standard temperature sequence and judging whether the temperature sensor is abnormal or not, if so, eliminating the temperature data acquired by the abnormal temperature sensor, and determining the temperature gradient of the hot galvanizing zinc pot along the vertical direction based on the residual standard temperature sequence; And the abnormality grade judging module is used for determining the severity degree of the temperature abnormality in the hot galvanizing zinc pot according to the temperature gradient.
2. The temperature detection system for a hot dip galvanizing zinc pot according to claim 1, wherein the analyzing the surface image data, when judging whether there is a temperature abnormality in the hot dip galvanizing zinc pot based on the analysis result, comprises: Extracting the surface image data characteristics to obtain a plurality of surface image characteristic values; Obtaining a surface image standard value corresponding to each surface image characteristic value, calculating the difference value between each surface image characteristic value and the corresponding surface image standard value, and recording the difference value as a surface image difference value; Comparing each surface image difference value with a corresponding surface image difference value threshold value, and judging whether the temperature abnormality exists in the hot galvanizing zinc pot or not according to a comparison result; If any surface image difference exceeds the corresponding surface image difference threshold, judging that the temperature abnormality exists in the hot galvanizing zinc pot; otherwise, judging that the internal temperature of the hot galvanizing zinc pot is normal.
3. The temperature detection system for a hot dip zinc pot according to claim 2, wherein when the temperature sensor is provided, comprising: collecting physical parameters of the hot galvanizing zinc pot, and analyzing the physical parameters to obtain the zinc pot height and the zinc pot diameter of the hot galvanizing zinc pot; dividing the vertical direction of the hot galvanizing zinc pot into a height layers based on the height of the zinc pot, collecting the diameter of the zinc pot corresponding to each height layer, and arranging the temperature sensor according to the diameter of the zinc pot; wherein, based on the zinc pot height, when dividing into a high level with the vertical direction of hot-galvanize zinc pot, include: comparing the height of the zinc pot with the heights of a first zinc pot and a second zinc pot, and determining the value a according to the comparison result, wherein the height of the first zinc pot is smaller than the height of the second zinc pot; when the height of the zinc pot is smaller than or equal to the first zinc pot height, determining that the value a is a1; when the zinc pot height is greater than the first zinc pot height and less than or equal to the second zinc pot height, determining that the a value is a2; when the height of the zinc pot is larger than that of the second zinc pot, determining that the value a is a3; Wherein a1, a2, a3 are positive integers, and a1< a2< a3.
4. A temperature detection system for a hot dip zinc pot according to claim 3, wherein the temperature sensor is arranged according to the zinc pot diameter, comprising: And comparing the diameter of the zinc pot with a preset temperature sensor layout table, and determining the number of sensors corresponding to the temperature sensors at each height level according to the comparison result.
5. The temperature detection system for a hot dip zinc pot according to claim 4, wherein the preprocessing of the temperature data to obtain standard temperature data comprises: Noise filtering is carried out on the temperature data acquired by each temperature sensor, and abnormal fluctuation or interference signals are removed; Comparing the temperature data with the calibration value of the corresponding temperature sensor, calculating temperature deviation, and correcting the temperature data based on the temperature deviation; performing time sequence smoothing on the corrected temperature data; normalizing the smoothed temperature data according to a preset standard temperature range to obtain standard temperature data.
6. The system for detecting the temperature of a hot dip zinc pot according to claim 5, wherein the analyzing the standard temperature sequence to determine whether there is an abnormality in the temperature sensor comprises: Obtaining a standard temperature sequence corresponding to each temperature sensor, calculating the deviation value of the standard temperature sequence and the average temperature sequence of all the temperature sensors, and simultaneously calculating the variance and the fluctuation rate of the temperature sensors; Comparing the deviation value, the variance and the fluctuation rate of each temperature sensor with corresponding preset thresholds respectively to judge whether the temperature sensor is abnormal or not; For a temperature sensor with a continuously increasing or continuously decreasing deviation value in a continuous time period, marking the temperature sensor as a potential abnormal temperature sensor; When the deviation value or variance of any one temperature sensor exceeds a threshold value or is marked as a potential abnormal temperature sensor, determining the temperature sensor as an abnormal temperature sensor; And eliminating temperature data acquired by the temperature sensor judged to be abnormal so as to obtain a residual standard temperature sequence.
7. The temperature detection system for a hot dip zinc pot according to claim 6, wherein when determining a temperature gradient in a vertical direction inside the hot dip zinc pot based on a remaining standard temperature sequence, comprising: Acquiring a temperature characteristic value of a standard temperature sequence corresponding to each height level; calculating the difference value between the temperature characteristic value of each height level and the reference value by taking the temperature characteristic value corresponding to the height level at the bottommost part of the hot dip galvanizing zinc pot as the reference value, and recording the difference value as the temperature gradient; Constructing a temperature gradient feature vector according to all the temperature gradients; comparing the temperature gradient characteristic vector with the historical temperature gradient combination, and determining a temperature abnormality evaluation value of the hot galvanizing zinc pot according to a comparison result; When the historical temperature gradient characteristic vector which is the same as the temperature gradient characteristic vector exists in the historical temperature gradient combination, taking a historical temperature abnormality evaluation value corresponding to the historical temperature gradient characteristic vector as the temperature abnormality evaluation value; when the historical temperature gradient feature vectors which are the same as the temperature gradient feature vectors do not exist in the historical temperature gradient combination, calculating the correlation degree of the temperature gradient feature vectors and each historical temperature gradient feature vector, extracting all the historical temperature gradient feature vectors with the correlation degree larger than a correlation degree threshold value, and constructing a similar temperature gradient feature vector set; and determining the temperature anomaly evaluation value according to the similar temperature gradient feature vector set.
8. The temperature detection system for a hot dip zinc pot according to claim 7, wherein when determining the temperature abnormality evaluation value from the set of similar temperature gradient feature vectors, comprising: when only one historical temperature gradient feature vector exists in the similar temperature gradient feature vector set, calculating the ratio of the correlation degree corresponding to the historical temperature gradient feature vector to the correlation degree threshold value, and recording the ratio as a correlation degree ratio; determining the temperature anomaly evaluation value according to the correlation degree ratio; when a plurality of historical temperature gradient feature vectors exist in the similar temperature gradient feature vector set, calculating the correlation degree weight of each historical temperature gradient feature vector, wherein the correlation degree weight is positively correlated with the correlation degree; And carrying out weighted summation on the historical temperature anomaly evaluation values corresponding to the historical temperature gradient feature vectors based on the correlation degree weights, and taking the weighted summation result as the temperature anomaly evaluation value.
9. The temperature detection system for a hot dip zinc pot according to claim 8, wherein when determining the severity of the temperature abnormality inside the hot dip zinc pot according to the temperature gradient, comprising: Comparing the temperature anomaly evaluation value with a first temperature anomaly evaluation value and a second temperature anomaly evaluation value, and determining the severity according to a comparison result, wherein the first temperature anomaly evaluation value is smaller than the second temperature anomaly evaluation value; When the temperature abnormality evaluation value is less than or equal to the first temperature abnormality evaluation value, determining that the severity of the temperature abnormality is slight; When the temperature abnormality evaluation value is greater than the first temperature abnormality evaluation value and less than or equal to the second temperature abnormality evaluation value, determining that the severity of the temperature abnormality is moderate; and when the temperature abnormality evaluation value is greater than the second temperature abnormality evaluation value, determining that the severity of the temperature abnormality is severe.
10. A temperature detection method for a hot dip galvanizing zinc pot, applied to the temperature detection system for a hot dip galvanizing zinc pot according to any one of claims 1 to 9, characterized by comprising: determining a workpiece to be galvanized, collecting surface image data of the workpiece to be galvanized, analyzing the surface image data, and judging whether the temperature in the hot galvanizing zinc pot is abnormal or not based on an analysis result; When judging that the temperature inside the hot galvanizing zinc pot is abnormal, collecting temperature data of each temperature sensor, preprocessing the temperature data to obtain standard temperature data, and constructing a standard temperature sequence based on a time sequence; Analyzing the standard temperature sequence, judging whether the temperature sensor is abnormal or not, if so, eliminating temperature data acquired by the abnormal temperature sensor, and determining the temperature gradient of the inside of the hot dip galvanizing zinc pot along the vertical direction based on the residual standard temperature sequence; and determining the severity of the temperature abnormality in the hot galvanizing zinc pot according to the temperature gradient.

Description

Temperature detection method and system for hot galvanizing zinc pot Technical Field The invention relates to the technical field of temperature detection, in particular to a temperature detection method and a system for a hot galvanizing zinc pot. Background In the hot galvanizing production process, the zinc pot is used as core equipment, and the accurate control of the temperature of the internal zinc liquid directly influences the quality of a coating, the production efficiency and the equipment safety. The traditional zinc pot temperature detection mode mostly adopts contact type temperature measurement, such as a thermocouple is directly inserted into zinc liquid. However, the zinc liquid has the characteristics of high temperature and strong corrosiveness, and the thermocouple is easy to corrode and wear after being soaked for a long time, so that the temperature measurement precision is reduced, the service life is shortened, and the production is required to be interrupted when the thermocouple is replaced, thereby influencing continuous operation. In addition, the zinc liquid in the zinc pot has temperature gradient, the single-point temperature measurement can hardly reflect the whole temperature distribution of the zinc liquid, and the quality stability of galvanized products can be influenced due to local temperature abnormality. Meanwhile, the traditional detection system data transmission is mostly in a wired mode, and under the high-temperature and dusty industrial environment, the circuit is easy to age and damage, the maintenance cost is high, remote monitoring and intelligent management are difficult to realize, and the requirements of modern hot galvanizing production on the real-time performance, the accuracy and the reliability of temperature detection cannot be met. Therefore, there is a need to design a temperature detection method and system for a hot dip zinc pot to solve the problems in the prior art. Disclosure of Invention In view of the above, the invention provides a temperature detection method and a temperature detection system for a hot galvanizing zinc pot, which aim to solve the problems that the traditional contact type temperature measurement is easy to corrode, has short service life, needs to interrupt production during replacement and is difficult to reflect the whole temperature distribution during the hot galvanizing zinc pot. In one aspect, the present invention proposes a temperature detection system for a hot dip zinc pot, comprising: the anomaly judgment module is used for determining a workpiece to be galvanized, collecting surface image data of the workpiece to be galvanized, analyzing the surface image data and judging whether the temperature anomaly exists in the hot galvanizing zinc pot or not based on an analysis result; The sampling module is connected with n temperature sensors arranged in the hot galvanizing zinc pot, and is used for collecting temperature data of each temperature sensor when judging that the temperature in the hot galvanizing zinc pot is abnormal, preprocessing the temperature data to obtain standard temperature data, and constructing a standard temperature sequence based on a time sequence; the temperature analysis module is used for analyzing the standard temperature sequence and judging whether the temperature sensor is abnormal or not, if so, eliminating the temperature data acquired by the abnormal temperature sensor, and determining the temperature gradient of the hot galvanizing zinc pot along the vertical direction based on the residual standard temperature sequence; And the abnormality grade judging module is used for determining the severity degree of the temperature abnormality in the hot galvanizing zinc pot according to the temperature gradient. Further, analyzing the surface image data, and judging whether the temperature abnormality exists in the hot galvanizing zinc pot based on the analysis result, wherein the method comprises the following steps: Extracting the surface image data characteristics to obtain a plurality of surface image characteristic values; Obtaining a surface image standard value corresponding to each surface image characteristic value, calculating the difference value between each surface image characteristic value and the corresponding surface image standard value, and recording the difference value as a surface image difference value; Comparing each surface image difference value with a corresponding surface image difference value threshold value, and judging whether the temperature abnormality exists in the hot galvanizing zinc pot or not according to a comparison result; If any surface image difference exceeds the corresponding surface image difference threshold, judging that the temperature abnormality exists in the hot galvanizing zinc pot; otherwise, judging that the internal temperature of the hot galvanizing zinc pot is normal. Further, when the temperature sensor is provided, it includes: