Early warning method for metallurgical power energy medium measurement data

Abstract

The invention relates to the technical field of metallurgical production, in particular to an early warning method for metallurgical power energy medium measurement data, and solves the problems that in the early warning process of the power energy medium measurement data of a metallurgical enterprise at present, manual recording of energy medium measurement data wastes time and labor, the deviation is large, and the working efficiency is high. And the maintenance guidance accuracy of the energy medium flow metering equipment is relatively low. The method comprises the following steps: establishing a power energy metering management information system, realizing timely alarm of a server when sampling data is abnormal by using a difference value between a medium flow measurement value and a preset reference value, and performing measurement and error calculation by applying an automatic instrument. A probability distribution and measurement uncertainty evaluation method is adopted to establish a judgment condition of a power energy medium measurement data abnormal value, so that the flow measurement data of the furnace body power energy medium is more accurate and reliable, and the monitoring and the maintenance of furnace body data measurement equipment are more convenient and accurate; and the overall efficiency of metallurgical production is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of metallurgical production, and particularly relates to a warning method for the measurement data of metallurgical power energy media. Background Art

[0002] The warning system for the measurement data of power energy media is a functional extension based on the power energy measurement management information system platform of large and medium-sized metallurgical enterprises. It is a powerful means for enterprises to save energy and reduce emissions, tap potential and increase efficiency, effectively reduce production costs, enhance the market competitiveness of enterprises, and achieve refined management. The data model of the abnormal data determination conditions and warning parameter settings established in the warning system is completely in accordance with the analysis method of the measurement system error theory. The analysis and evaluation methods of the normal distribution and uncertainty of single flow measurement points and system measurement data are used to theoretically analyze the error of the measurement data and estimate the actual impact, which plays an important guiding role in the accurate measurement of power energy media in large and medium-sized enterprises, the maintenance of measurement data and measurement equipment, and has high technical reference value and great significance. The warning of the measurement data of power energy media is a powerful guarantee for the refined management of the power energy of metallurgical enterprises and the subsequent basic maintenance and fine maintenance of measurement data and measurement equipment. At present, in most metallurgical enterprises, the power energy measurement management information system is not yet mature, and the processing of measurement data is only limited to basic functions such as browsing, querying, and statistics of the collected data. Therefore, there are generally problems such as large deviations in the measurement data of energy media and poor guidance for equipment maintenance. Summary of the Invention

[0003] The present invention provides a warning method for the measurement data of metallurgical power energy media to solve the problems of large deviations in the measurement data of metallurgical production power energy media and low accuracy of guidance for the maintenance of measurement equipment in the above background.

[0004] To achieve the above object, the present invention adopts the following technical solutions: A warning method for the measurement data of metallurgical power energy media, comprising the following steps: Step 1: Wirelessly interconnect the power energy media flow meters, PLC controllers, data acquisition stations, and WEB servers of blast furnaces, coke ovens, converters, and reheating furnaces to form a power energy measurement management information system, and collect and process the measurement data of power energy media.

[0005] Step 2: Establish a warning for each power energy media flow data according to the effective measurement intervals of the power energy media of each measurement point flow meter of the blast furnace, coke oven, converter, and reheating furnace body Q 参比值 as follows: The reference value of the power energy media of the blast furnace is Q 参比值（高炉） = , 0.78 is the ratio coefficient of nitrogen in the inlet air, and 0.55 is the ratio coefficient of nitrogen in the blast furnace gas.

[0006] The reference value of the coke oven power energy medium is Q 参比值(焦炉) = , where the volume of the coke oven gas is determined as 310 m³ per ton of dry coal during the coking process.

[0007] The reference value of the converter power energy medium is Q 参比值（转炉 ) = A (m³ / t) × daily steel output (t) / 24h, where A is the steel recovery rate.

[0008] The reference value of the heating furnace power energy medium is Q 参比值（加热炉) = Q 空气 (km³ / h) / K × β, where Q 空气 is the measured air flow value, K is the theoretical air-fuel ratio of the heating furnace, and β is the air excess coefficient.

[0009] Step 3. Then, measure the real-time flow rate of the output pipeline through the energy medium flow meters of the blast furnace, coke oven, converter, and heating furnace as Q 测量值 , and compare it with the corresponding Q 参比值 When |Q 测量值 -Q 参比值 | ≥ Eqv, where Eqv is the uncertainty of the power energy medium flow measurement. At this time, Q 测量值 is abnormal, and an alarm is displayed at the warning light connected to the WEB server.

[0010] The present invention has the following beneficial effects: A warning method for metallurgical power energy medium measurement data provided by the present invention includes establishing a power energy measurement management information system, and then setting thresholds for the reference values of the power energy media passing through the blast furnace, coke oven, converter, and heating furnace in metallurgical production. Under the condition of ensuring that the flow rate of the power energy medium meets its output requirements, the difference between the measured value of the medium flow rate and the preset reference value is combined with the data comparison of the measurement uncertainty to realize the timely alarm of the server for abnormal sampling data. Thus, the determination conditions for abnormal values of the power energy medium measurement data are established, effectively making the flow measurement data of the furnace body power energy medium more accurate, reliable, and convenient, ensuring that the monitoring and maintenance of the furnace body data measurement equipment are more convenient and accurate, and further greatly improving the overall efficiency of metallurgical production. Specific embodiments

[0011] The present invention will be further described below in conjunction with specific embodiments.

[0012] Embodiment 1 The warning method for metallurgical power energy medium measurement data described in the present invention includes the following steps: Step 1: Wirelessly interconnect the power and energy medium flow meters, PLC controllers, data acquisition stations, and WEB servers of blast furnaces, coke ovens, converters, and reheating furnaces to form a power and energy measurement management information system. The data acquisition station uses the SLC5 / 05 or CompactLogix PLC processor of AB Company in the United States as a sub-station, and adopts the TCP / IP communication protocol to integrate each data acquisition station through Ethernet to achieve functions such as data acquisition, monitoring, programming management, and equipment maintenance, and supports online programming of Ethernet using RSLogix500 and RSLogix5000; the PLC controller selects the IBM System x3650 M5 series server to meet the higher requirements of data processing. The software architecture uses the domestic Beijing ForceControl PSPace real-time data server to connect to the data acquisition station through interfaces such as TCP\IP, OPC, and MODBUS; the real-time monitoring WEB server selects the IBM System x3650 M5 series, and the supporting software is the psView component, which supports browsers such as IE. Through server configuration, the real-time data report of the measurement data acquisition system can be browsed on the WEB and the trend chart can be called and viewed, and the entire system is interconnected to collect and process the power and energy medium measurement data.

[0013] Step 2: Establish early warnings for the flow data of each power and energy medium according to the effective measurement intervals of the power and energy medium measured by the flow meters at each measuring point of the blast furnace, coke oven, converter, and reheating furnace furnace bodies. Q 参比值 As follows: (1) Taking the net coal production of a certain iron and steel smelting blast furnace as an example, determine the reference value Q of the blast furnace power and energy medium according to the effective measurement intervals of the flow meters at each measuring point of the blast furnace. 参比值（高炉） When the threshold of Q is 200 km³ / h - 505 km³ / h, on a certain statistical day, when the cold air volume entering the furnace is 7091.92 km³ / h, at this time, the reference value of the blast furnace power and energy medium is Q 参比值（高炉） = 7091.92 * 0.78 / 0.55 = 10057.63 km³ / h, where 0.78 is the air nitrogen ratio coefficient entering the furnace, and 0.55 is the blast furnace gas nitrogen ratio coefficient.

[0014] The basic uncertainty E of the blast furnace throttling flow meter under standard measurement conditions 基本 is 2.00, and the additional uncertainty E 附加 caused by the deviation of the blast furnace throttling flow meter parameters from the standard conditions is 11.56. The accidental and minor uncertainty E 随机 under the working conditions of the blast furnace throttling flow meter is , and the calculated E 随机 is 1.31. Therefore, according to it is calculated that Eqv = 4.12.

[0015] The real-time flow rate of the measurement output pipeline of the blast furnace energy medium flowmeter measured on a certain day Q 测量值 = 10137.46 km³ / h. Therefore, |Q 测量值 -Q 参比值 | = |10137.46 - 10057.63| = 79.83 > 4.12. At this time, Q 测量值 is abnormal, and the warning light of the user's WEB server will give an audible and visual alarm, so as to ensure that the operating personnel can timely shut down and repair the blast furnace throttle flowmeter, ensuring the safety of blast furnace production and the accuracy of flow detection equipment maintenance.

[0016] (2) Taking the production of clean coal in a certain iron and steel smelting coke oven as an example, according to the effective measurement range of the flowmeters at each measuring point of the coke oven, determine the reference value Q of the blast furnace power energy medium 参比值（焦炉） When the threshold value of is 25 m³ / h - 55 m³ / h, on a certain statistical day, the number of furnaces tapped in a day is 5, and the amount of dry coal charged per hole is 22.15 t. At this time, the reference value of the coke oven power energy medium is Q 参比值（焦炉） = 310 * 5 * 22.15 / 24 = 1430.52 km³ / h. The volume of coke oven gas is determined according to 310 m³ generated per ton of dry coal during coking.

[0017] The basic uncertainty E of the coke oven throttle flowmeter under standard measurement conditions 基本 is 1.819, and the additional uncertainty E caused by the deviation of the blast furnace throttle flowmeter parameters from the standard conditions 附加 is 3.09. The accidental and minute uncertainty E of the blast furnace throttle flowmeter under working conditions 随机 is , so according to it is calculated that Eqv = 3.73.

[0018] The real-time flow rate of the measurement output pipeline of the coke oven energy medium flowmeter measured on a certain day Q 测量值 = 1432.25 km³ / h. Therefore, |Q 测量值 -Q 参比值 | = |1432.25 - 1430.52| = 1.73 < 3.73. At this time, Q 测量值 is normal and the warning light does not alarm.

[0019] (3) Taking the production of clean coal in a 120 t converter of a certain iron and steel smelting as an example, according to the effective measurement range of the flowmeters at each measuring point of the blast furnace, determine the reference value Q of the converter power energy medium 参比值（转炉）When the threshold value is 1.2 m³ / h - 7.8 m³ / h, on a certain statistical day, the steel recovery rate A is 0.78 m³ / t, and the daily steel output is 2331 t. At this time, the reference value of the converter power energy medium is Q 参比值（转炉） = 0.78 * 2331 / 24 = 75.76 km³ / h.

[0020] The basic uncertainty E of the converter throttle flowmeter under standard measurement conditions 基本 is 2.5, the additional uncertainty E caused by the deviation of the blast furnace throttle flowmeter parameters from the standard conditions 附加 is 4.25, and the accidental minor uncertainty E of the blast furnace throttle flowmeter under working conditions 随机 is . The calculated E 随机 is 8.1. Therefore, according to the calculation gives Eqv = 5.69.

[0021] The real-time flow rate of the measurement output pipeline of the converter energy medium flowmeter actually measured on a certain day Q 测量值 = 86.25 km³ / h. Therefore, |Q 测量值 - Q 参比值 | = |86.25 - 75.76| = 10.49 > 5.69. At this time, Q 测量值 is abnormal, and the warning light of the user's WEB server will give an audible and visual alarm, so as to ensure that the operators can timely stop the blast furnace throttle flowmeter for maintenance, ensuring the safety of blast furnace production and the accuracy of flow detection equipment maintenance.

[0022] (4) Taking the production of a medium plate heating furnace in a certain iron and steel smelting as an example, according to the effective measurement range of the flowmeters at each measuring point of the blast furnace, determine the reference value Q 参比值（加热炉） of the converter power energy medium. When the threshold value is 2 km³ / h - 4.5 km³ / h, on a certain statistical day, the measured air flow rate value Q 空气 is 88 km³ / h, the theoretical air-fuel ratio K of the heating furnace is 1 / 8, and the air excess coefficient β is 1.08. At this time, the reference value of the heating furnace power energy medium is Q 参比值（加热炉） = 88 / (1 / 8 * 1.08) = 651.85 km³ / h.

[0023] The basic uncertainty E of the converter throttle flowmeter under standard measurement conditions 基本 is 1.95, the additional uncertainty E caused by the deviation of the blast furnace throttle flowmeter parameters from the standard conditions 附加 is 3.32, and the accidental minor uncertainty E of the blast furnace throttle flowmeter under working conditions 随机 is . The calculated E 随机is 23.91, so according to calculation gives Eqv = 6.21.

[0024] The actual measured real-time flow rate Q of the measurement output pipeline of the energy medium flowmeter of the heating furnace on a certain day 测量值 = 593.08 km³ / h. Therefore, |Q 测量值 - Q 参比值 | = |593.08 - 651.85| = 58.77 > 6.21. At this time, Q 测量值 is abnormal, and the warning light of the user WEB server will give an audible and visual alarm, so as to ensure that the operators can timely stop the blast furnace throttle flowmeter for maintenance, ensuring the safety of blast furnace production and the accuracy of the maintenance of the flow detection equipment.

[0025] After applying the early warning method for the measurement data of the power energy medium in the metallurgical blast furnace, coke oven, converter and heating furnace body as described above, the operators can more accurately and conveniently confirm the time when the throttle flowmeter fails, and timely carry out the maintenance of the relevant measurement equipment. Then, the failure time of the measurement equipment is statistically analyzed according to the operation cycle of the specific time of each furnace body. The specific data statistics are shown in Table 1.

[0026] Table 1 Analyzing Table 1 shows that between October 2022 and January 2023 before applying this early warning method, the monthly average failure time of the measurement equipment was 152.7 hours. Between October 2023 and January 2024 after applying this early warning method, the monthly average failure time of the measurement equipment was reduced to 95.5 hours. Therefore, the process of measuring and warning the flow rate of the power energy medium in the blast furnace, coke oven, converter and heating furnace makes the flow measurement data of the power energy medium in the furnace body more convenient and reliable, effectively ensuring that under the condition of reducing the failure rate of the measurement equipment, the monitoring and maintenance of the flow measurement equipment of the furnace body medium are more convenient and accurate, and thus greatly improving the overall efficiency of metallurgical production.

Claims

1. An early warning method for metallurgical power energy medium metering data, characterized in that: The following steps are involved: Step 1: wirelessly interconnect the power energy medium flowmeters and PLC controllers, data acquisition stations, and WEB servers of blast furnaces, coke ovens, converters, and heating furnaces to form a power energy metering management information system, and collect and process the power energy medium metering data; Step 2: Establish early warning of the flow data of each power energy medium according to the effective measurement interval of the flow meter at each measuring point of the blast furnace, coke oven, converter and heating furnace body for the power energy medium Q 参比值 as follows: The reference value of blast furnace power energy medium is Q 参比值（高炉） = , 0.78 is the nitrogen ratio coefficient of the air entering the furnace, and 0.55 is the nitrogen ratio coefficient of the blast furnace gas; The reference value of the coke oven power energy medium is Q 参比值 (焦炉) = , where the volume of coke oven gas is determined based on 310 m³ produced per ton of dry coal during the coking process; The reference value of converter power energy medium is Q 参比值（转炉) =A (m³ / t) × daily steel production (t) / 24h, where A is the steel recovery rate; The reference value of the heating furnace power energy medium is Q 参比值（加热炉) = Q 空气 (km³ / h) / K×β, where Q 空气 is the measured air flow value, K is the theoretical air-fuel ratio of the heating furnace, and β is the excess air coefficient; Step 3: Use the energy medium flowmeters of the blast furnace, coke oven, converter and heating furnace to measure the real-time flow rate of the output pipeline as Q 测量值 , and its corresponding Q 参比值 For comparison, when |Q 测量值 -Q 参比值 |≥Eqv, Eqv is the measurement uncertainty of the power energy medium flow rate, at this time Q 测量值 It is abnormal and an alarm is displayed at the warning light connected to the WEB server.

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