CN-121980182-A - Automatic furnace burning signal interference prevention method for metallurgical hot blast stove
Abstract
The invention belongs to the technical field of metallurgy, and particularly relates to a signal interference prevention method for automatic burning of a metallurgical hot blast stove. The method comprises the following steps of S1, collecting analog quantity signals of a field instrument and converting the analog quantity signals into engineering values, S2, judging whether the engineering values are in a preset normal working range or not, S3, outputting the engineering values for control if the engineering values are in the normal working range, S4, starting a multi-dimensional interference judging flow if the engineering values are out of the normal working range, and S5, executing a corresponding output strategy according to a multi-dimensional judging result. According to the invention, by combining 'time window restorability monitoring' and 'fluctuation characteristic pattern matching' two-dimensional criteria and introducing 'multi-signal collaborative verification', instantaneous interference and real abnormality can be distinguished with extremely high precision, and the misjudgment rate is greatly reduced.
Inventors
- Zang Qiangui
- ZHANG YAN
- LI CHENGZHONG
Assignees
- 山东钢铁集团永锋临港有限公司
Dates
- Publication Date
- 20260505
- Application Date
- 20260122
Claims (6)
- 1. The automatic furnace burning signal interference prevention method for the metallurgical hot blast stove is characterized by comprising the following steps of: S1, acquiring analog quantity signals of a field instrument and converting the analog quantity signals into engineering values; S2, judging whether the engineering value is in a preset normal working range; s3, if the engineering value is in the normal working range, outputting the engineering value for control; s4, if the engineering value exceeds the normal working range, starting a multi-dimensional interference judging process; s5, executing a corresponding output strategy according to the multi-dimensional judgment result.
- 2. The method for preventing signal interference in automatic stove burning of metallurgical hot blast stove according to claim 1, wherein in step S4, the multi-dimensional interference judging procedure comprises: S41, starting timing, and monitoring whether the engineering value is restored to a normal working range within a preset delay time; s42, calculating fluctuation characteristic parameters of the engineering value in an overrun period at the same time, wherein the fluctuation characteristic parameters at least comprise a change rate, a fluctuation frequency and an overrun amplitude; s43, carrying out matching analysis on the fluctuation characteristic parameters and a preset interference characteristic library.
- 3. The method for preventing signal interference in automatic burning of metallurgical hot blast stove according to claim 2, wherein the calculation of the fluctuation characteristic parameter at least comprises: rate of change= |current engineering value-previous sample value|/sample time interval; Fluctuation frequency = number of times the engineering value crosses a preset fluctuation threshold within a unit time; overrun amplitude= |current engineering value-normal working range boundary value|.
- 4. The method for preventing signal interference in automatic burning of metallurgical hot blast stove according to claim 3, wherein the interference feature library is established by collecting interference signal samples in historical operation data, extracting fluctuation feature parameters of the interference signal samples, performing cluster analysis on the feature parameters through a machine learning algorithm to form an interference feature model, and periodically updating the interference feature library to adapt to the change of field environment.
- 5. The method for preventing signal interference in automatic stove burning of metallurgical hot blast stove according to claim 4, wherein in step S5, the output strategy comprises: s51, if the engineering value is restored to be in a normal working range within a preset delay time and the fluctuation characteristic parameter accords with the interference characteristic, judging the engineering value as an instantaneous interference signal, and outputting a preset constant value for control; s52, if the engineering value is restored to be in the normal working range within the preset delay time, but the fluctuation characteristic parameter does not accord with the interference characteristic, outputting the engineering value for control; And S53, if the engineering value still exceeds the normal working range after reaching the preset delay time, judging the engineering value to be a real signal, outputting the engineering value for control, and triggering an alarm.
- 6. The method for preventing signal interference in automatic stove burning of metallurgical hot blast stove according to claim 5, wherein in step S51, the method further comprises a cooperative verification step of: s511, when the single signal is judged to be an interference signal, checking other process parameter signals related to the signal; S512, if only the signal is abnormal and the related signal is normal, the interference signal judgment is maintained, and the step S51 is continuously executed; S513, if abnormal fluctuation of the related signal occurs in the same time period, returning to the step S4 to reevaluate the signal property. S514, when the re-evaluation signal property exceeds the preset cycle number, judging the signal to be a real signal, outputting an engineering value and triggering an alarm.
Description
Automatic furnace burning signal interference prevention method for metallurgical hot blast stove Technical Field The invention belongs to the technical field of metallurgy, and particularly relates to a signal interference prevention method for automatic burning of a metallurgical hot blast stove. Background In modern metallurgical blast furnace production, automatic furnace burning control of a hot blast furnace is a key link for guaranteeing stable, efficient and energy-saving operation of the blast furnace. The system relies on analog signals (typically 4-20mA current signals) collected by various meters (such as flowmeters, pressure transmitters, valve positioners, etc.) in the field and transmitted to a Programmable Logic Controller (PLC) for operation and logic control. However, the hot blast stove has a severe field environment, and a large number of strong current devices, frequency converters and long-distance cable wiring exist, so that instrument signals are extremely easy to be subjected to irregular instant interference in the process of being transmitted to the PLC. Such disturbances appear as short spikes or dips in the signal, typically between milliseconds and seconds in duration. Hardware filtering (such as RC filtering circuits) or simple software filtering algorithms (such as moving average, dead zone setting) are commonly adopted in the prior art for dealing with the problems. However, the traditional methods have obvious defects of high hardware filtering cost, slow response and limited low-frequency interference effect, control hysteresis is introduced into a software filtering algorithm such as moving average to influence the dynamic response performance of a system, dead zone setting faces two difficulties, namely that interference cannot be effectively filtered due to too small setting, and real tiny process fluctuation can be covered due to too large setting, so that the control precision is reduced. More importantly, the existing method cannot intelligently distinguish an instantaneous interference signal from a real instrument fault initial signal or a rapid real abrupt change of a process parameter, the instantaneous interference signal needs to be filtered out to maintain stability, and the real instrument fault initial signal needs to be immediately reported to ensure safety. The contradiction makes the stability and reliability of the automatic burning system of the hot blast stove difficult to further improve, and misoperation or fault response delay caused by signal misjudgment occur. Therefore, a new signal processing method capable of intelligently and precisely distinguishing signal interference from real anomalies and adopting different strategies is needed. Disclosure of Invention The invention aims to provide a method for preventing signal interference in automatic burning of a metallurgical hot blast stove, which aims to solve the problems in the prior art. The technical scheme adopted for solving the technical problems is as follows: a method for preventing signal interference of automatic burning of a metallurgical hot blast stove comprises the following steps: S1, acquiring analog quantity signals of a field instrument and converting the analog quantity signals into engineering values; S2, judging whether the engineering value is in a preset normal working range; s3, if the engineering value is in the normal working range, outputting the engineering value for control; s4, if the engineering value exceeds the normal working range, starting a multi-dimensional interference judging process; s5, executing a corresponding output strategy according to the multi-dimensional judgment result. Further, in step S4, the multi-dimensional interference determination procedure includes: S41, starting timing, and monitoring whether the engineering value is restored to a normal working range within a preset delay time; s42, calculating fluctuation characteristic parameters of the engineering value in an overrun period at the same time, wherein the fluctuation characteristic parameters at least comprise a change rate, a fluctuation frequency and an overrun amplitude; s43, carrying out matching analysis on the fluctuation characteristic parameters and a preset interference characteristic library. Further, the calculating of the fluctuation characteristic parameter at least includes: rate of change= |current engineering value-previous sample value|/sample time interval; Fluctuation frequency = number of times the engineering value crosses a preset fluctuation threshold within a unit time; overrun amplitude= |current engineering value-normal working range boundary value|. Further, the interference feature library is established by collecting interference signal samples in historical operation data, extracting fluctuation feature parameters of the interference signal samples, performing cluster analysis on the feature parameters through a machine learning algorithm to form an interfe