CN-121976011-A - Heat treatment furnace fault diagnosis method, diagnosis system, electronic equipment and medium

CN121976011ACN 121976011 ACN121976011 ACN 121976011ACN-121976011-A

Abstract

The invention provides a heat treatment furnace fault diagnosis method, a diagnosis system, electronic equipment and a medium. The diagnosis method is applied to the heat treatment furnace. The method comprises the steps of receiving information data of a heat treatment furnace, wherein the information data comprises valve detection data, atmosphere detection data, appearance detection data, thermocouple temperature measurement data and pressure sensor data, preprocessing the information data, dividing the preprocessed information data into atmosphere data, temperature data and pressure data of the heat treatment furnace, receiving and analyzing the atmosphere data, the temperature data and the pressure data, and sending corresponding alarm signals if abnormality exists. The preprocessed information data are divided into three types of atmosphere data, temperature data and pressure data, the three types of data are respectively analyzed and respectively correspond to corresponding alarm equipment, so that staff can quickly determine the abnormal position of the heat treatment furnace through alarm signals, and the fault diagnosis and treatment efficiency of the heat treatment furnace are improved.

Inventors

ZHU ZHENGZHOU
Liu Penghan
LIANG LIANG
LI ZHENGTAO
WEN CHANGFEI
ZHOU CHUN

Assignees

湖南华菱涟钢特种新材料有限公司
湖南华菱涟源钢铁有限公司

Dates

Publication Date: 20260505
Application Date: 20251204

Claims (10)

1. A method for diagnosing a heat treatment furnace failure, which is applied to a heat treatment furnace, comprising: receiving information data of a heat treatment furnace, wherein the information data comprises valve detection data, atmosphere detection data, appearance detection data, thermocouple temperature measurement data and pressure sensor data; Preprocessing the information data; Dividing the preprocessed information data into atmosphere data, temperature data and pressure data of the heat treatment furnace; And receiving and analyzing atmosphere data, temperature data and pressure data, and if abnormality exists, sending out a corresponding alarm signal.
2. The method according to claim 1, wherein the atmosphere type data is valve detection data after pretreatment, atmosphere detection data after pretreatment, appearance detection data after pretreatment; The temperature data are preprocessed thermocouple temperature measurement data; the pressure type data are preprocessed pressure sensor data.
3. The method for diagnosing a heat treatment furnace fault according to claim 1, wherein the valve detection data is provided by valve detection data for detecting state data of an air source, an air path, and an air valve connected to the heat treatment furnace; The atmosphere detection data are provided by an atmosphere detector and are used for determining the atmosphere inside the heat treatment furnace; the appearance detection data are provided by an appearance detector and are used for detecting appearance visual data outside the heat treatment furnace; the thermocouple temperature measurement data are provided by a thermocouple thermometer and are used for detecting the internal temperature of the heat treatment furnace; the pressure type data is provided by a pressure sensor for detecting the pressure inside the heat treatment furnace.
4. A method of diagnosing a heat treatment furnace fault as claimed in claim 3 wherein the thermocouple temperature measurement data comprises thermocouple temperature measurement data for different soaking zones within the heat treatment furnace, and each soaking zone comprises at least two sets of thermocouple temperature measurement data.
5. The method for diagnosing a heat treatment furnace failure according to claim 1, wherein analyzing whether there is an abnormality in the atmosphere-like data includes: calculating the atmosphere fluctuation rate of any atmosphere in the heat treatment furnace and comparing the calculated atmosphere fluctuation rate with a target atmosphere fluctuation rate Comparison is performed: Wherein Q is the atmosphere fluctuation rate inside the heat treatment furnace; The maximum concentration of the atmosphere in the heat treatment furnace during the measurement period; the minimum concentration of the atmosphere of the heat treatment furnace during measurement; The average concentration of the atmosphere inside the heat treatment furnace during the measurement; For measuring the amount of change in the concentration of the atmosphere inside the heat treatment furnace during the period; For measuring time; if the atmosphere fluctuation rate in the heat treatment furnace is less than or equal to 0.05%, the atmosphere in the heat treatment furnace is normal; if the atmosphere fluctuation rate in the heat treatment furnace is more than 0.05%, the atmosphere in the heat treatment furnace is abnormal.
6. The method for diagnosing a heat treatment furnace fault as recited in claim 1, wherein analyzing whether there is an abnormality in the pressure type data includes: Calculating the boosting rate of the internal pressure of the heat treatment furnace, and comparing the boosting rate with a target boosting rate of 2.7 Pa/h: Wherein P is the pressure boosting rate of the internal pressure of the heat treatment furnace; Taking the atmospheric pressure as the reference pressure outside the heat treatment furnace; Is the pressure in the heat treatment furnace at the first reading; the pressure in the heat treatment furnace is the second reading; Is the time interval between two readings; if the pressure boosting rate of the internal pressure of the heat treatment furnace is less than or equal to 2.7pa/h, the internal pressure of the heat treatment furnace is normal; if the pressure boosting rate of the internal pressure of the heat treatment furnace is more than 2.7pa/h, the internal pressure of the heat treatment furnace is abnormal.
7. The method for diagnosing a heat treatment furnace failure according to claim 1, further comprising: Identify a source of the anomalous data and transmit an anomalous data signal to the source of the anomalous data.
8. A heat treatment furnace fault diagnosis system, characterized by being applied to a heat treatment furnace, comprising: the data receiving module is used for receiving information data of the heat treatment furnace, wherein the information data comprises valve detection data, atmosphere detection data, appearance detection data, thermocouple temperature measurement data and pressure sensor data; The data processing module is used for preprocessing the information data; the classification module is used for classifying the preprocessed information data into atmosphere data, temperature data and pressure data of the heat treatment furnace; And the alarm module is used for receiving and analyzing the atmosphere data, the temperature data and the pressure data, and sending out corresponding alarm signals if the abnormality exists.
9. An electronic device, the electronic device comprising: A memory for storing executable instructions, and A processor for implementing the method for diagnosing a heat treatment furnace failure according to any one of claims 1 to 7 when executing the executable instructions stored in the memory.
10. A computer-readable storage medium storing executable instructions, wherein the executable instructions, when executed by a processor, implement the method for diagnosing a heat treatment furnace failure according to any one of claims 1 to 7.

Description

Heat treatment furnace fault diagnosis method, diagnosis system, electronic equipment and medium Technical Field The invention relates to the field of heat treatment furnace maintenance, in particular to a heat treatment furnace fault diagnosis method, a diagnosis system, electronic equipment and a medium. Background Heat treatment is a key process in the machine-building industry, and the atmosphere in the heat treatment furnace (e.g. oxygen potential, carbon monoxide CO, carbon dioxideMethaneEtc.), the stability of parameters such as furnace temperature and pressure directly determines the heat treatment quality of the workpiece. However, the current comprehensive control technology of the multi-parameter in the national heat treatment industry is relatively weak, and most heat treatment furnaces are only provided with measuring instruments with single functions, so that a systematic multi-parameter integrated detection scheme is lacking. In the prior art, fault diagnosis of a heat treatment furnace mainly depends on manual operation of a single detection instrument to check one by one. When the quality problem of the workpiece or the abnormal operation of the furnace body occurs, an operator needs to carry a plurality of instruments to carry out round trip detection, and if the type of abnormal parameters cannot be prejudged, all parameters need to be comprehensively retested. The method has the obvious defects that firstly, the processing efficiency is extremely low, the production interruption time is prolonged due to the fact that faults cannot be located in time, and secondly, the operation is complex, and the labor intensity of staff is increased. Disclosure of Invention The invention mainly aims to provide a heat treatment furnace fault diagnosis method, a diagnosis system, electronic equipment and a medium, so as to solve the technical problems of low fault diagnosis processing efficiency and complex operation of the existing heat treatment furnace. In order to achieve the above object, the present invention provides a method for diagnosing a heat treatment furnace fault, which is applied to a heat treatment furnace, comprising: And receiving information data of the heat treatment furnace, wherein the information data comprises valve detection data, atmosphere detection data, appearance detection data, thermocouple temperature measurement data and pressure sensor data. And preprocessing the information data. The information data after the pretreatment is divided into atmosphere data, temperature data and pressure data of the heat treatment furnace. And receiving and analyzing atmosphere data, temperature data and pressure data, and if abnormality exists, sending out a corresponding alarm signal. According to an embodiment of the present application, the atmosphere data is valve detection data after pretreatment, atmosphere detection data after pretreatment, and appearance detection data after pretreatment. The temperature data are the preprocessed thermocouple temperature measurement data. The pressure type data are preprocessed pressure sensor data. According to the embodiment of the application, the valve detection data is provided by the valve detection data and is used for detecting state data of an air source, an air path and an air valve connected with the heat treatment furnace. The atmosphere detection data is provided by an atmosphere detector for determining the atmosphere inside the heat treatment furnace. The appearance detection data are provided by an appearance detector and are used for detecting appearance visual data outside the heat treatment furnace. The thermocouple temperature measurement data are provided by a thermocouple thermometer and are used for detecting the internal temperature of the heat treatment furnace. The pressure type data is provided by a pressure sensor for detecting the pressure inside the heat treatment furnace. According to the embodiment of the application, the thermocouple temperature measurement data comprise thermocouple temperature measurement data of different soaking sections in the heat treatment furnace, and each soaking section at least comprises two groups of thermocouple temperature measurement data. According to an embodiment of the present application, analyzing whether there is an abnormality in the atmosphere class data includes: calculating the atmosphere fluctuation rate of any atmosphere in the heat treatment furnace and comparing the calculated atmosphere fluctuation rate with a target atmosphere fluctuation rate Comparison is performed: Wherein Q is the atmosphere fluctuation rate inside the heat treatment furnace. The maximum concentration of the atmosphere inside the heat treatment furnace during the measurement is measured.The minimum concentration of the atmosphere in the heat treatment furnace during the measurement is obtained.The average concentration of the atmosphere inside the heat treatment furnace during the measurement wa