A device and method for online detection of quicklime activity

Abstract

The present invention relates to the field of metallurgical technology, and in particular to an online detection device and method for quicklime activity, comprising a sampling robot, a sampling spoon, a hopper, a detection belt conveyor, a detection electrode, an electrode fixing baffle and a detection belt driving motor, wherein the sampling spoon is arranged on the sampling robot, the detection belt conveyor is arranged on one side of the sampling robot, and the detection belt driving motor is arranged on one side of the detection belt conveyor, the sampling spoon is driven to move by the sampling robot, the sampling spoon moves to the hopper after sampling, and the detection belt conveyor moves the sample taken to the detection electrode at the same time, turns on a capacitance meter or a digital bridge with a capacitance detection function, and performs real-time detection according to a computer detection program, thereby realizing online detection of quicklime activity and effectively improving detection efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of metallurgy, and in particular to an online detection device and method for quicklime activity. Background Art

[0002] In the steel production process, iron ore powder sintering is a relatively important pre-iron raw material processing process in the steel process. The quality of the sintered ore directly determines the output of the blast furnace, and the main links in the sintering process are the batching, mixing and sintering process, which aims to fully mix various raw materials according to the composition ratio to form a mixture that enters the sintering machine, and then undergoes high-temperature ignition and sintering to form a porous sintered ore with stable physical and chemical properties that is suitable for blast furnace smelting.

[0003] Generally speaking, sintering raw materials mainly include iron ore powder, flux (quicklime), fuel (coke powder or anthracite), miscellaneous iron materials and return ore, etc., and are configured in a certain proportion. Since the sintering process is a large-scale pre-treatment link of raw iron, the stability of quicklime activity has a significant impact on the physical and chemical properties of the sintered ore. Quicklime activity is an indicator of the reaction rate of quicklime, that is, in a certain period of time, it is expressed as the number of milliliters of 4 mol / L hydrochloric acid consumed to neutralize the Ca(OH)2 produced when quicklime is digested. Whether in the steelmaking process or in the sintering process, quicklime activity is an important technical indicator for measuring quicklime. The activity of quicklime depends on its organizational structure, and the organizational structure of lime is closely related to the calcination temperature and calcination time.

[0004] The sintering process is mainly to control moisture and fuel, but the fluctuation of the activity of the added quicklime will seriously affect the digestion process and digestion time, and then affect the granulation effect of the sintered ore, and finally seriously affect the stability of the sintering process and the physical and chemical properties of the sintered ore. Therefore, in the sintering batching process, real-time monitoring of the activity of quicklime in the sintering mixture is an important link in controlling the quality of the sintered ore. At present, the quicklime activity detection data of many sintering plants are completed in the laboratory test, and only a few times a day are detected. This detection frequency is far behind the control of modern intelligent sintering real-time automatic process, and it also seriously restricts the intelligence of the sintering process. The present invention is mainly based on the process requirements of intelligent sintering, using robot online sampling and capacitance method to detect the activity of quicklime online, and is committed to solving the key technical problems of online detection of quicklime activity, and completely opening up the key detection channel of sintering intelligent control. Summary of the invention

[0005] The purpose of the present invention is to provide an online detection device and method for quicklime activity, which solves the problem in the prior art that with the production requirements of modern intelligent metallurgy and automated control, simply relying on manual inspection data or empirical batching can no longer meet the needs of stable production of high-quality sintered ore.

[0006] To achieve the above-mentioned objectives, the present invention provides an online detection device for the activity of quicklime, comprising a sampling robot, a sampling spoon, a hopper, a detection belt conveyor, a detection electrode, an electrode fixed baffle and a detection belt drive motor, wherein the sampling spoon is arranged on the sampling robot, the detection belt conveyor is arranged on one side of the sampling robot, the detection belt drive motor is arranged on one side of the detection belt conveyor, the hopper is placed above the detection belt conveyor, the two electrode fixed baffles are symmetrically arranged above the detection belt conveyor, and the two detection electrodes are respectively arranged on the corresponding electrode fixed baffles.

[0007] Wherein, the sampling spoon is located above the detection belt conveyor.

[0008] Wherein, the detection electrode is located between the two motor fixed baffles.

[0009] Wherein, the detection belt driving motor is located at one end of the sampling robot.

[0010] Among them, firstly, the powder to be tested is poured into the detection area between two electrodes;

[0011] Turn on the capacitance meter or the digital bridge with the capacitance detection function, and perform detection according to the detection procedure required by the capacitance meter or the digital bridge with the capacitance detection function and the computer detection procedure.

[0012] The present invention also provides a method for online detection of quicklime activity, which uses the above-mentioned online detection device for quicklime activity and comprises the following steps:

[0013] First, pour the powder to be tested into the detection area between the two electrodes;

[0014] Turn on the capacitance meter or the digital bridge with capacitance detection function, and open the computer detection program to perform the detection.

[0015] Among them, under the conditions of fixed electrode area and fixed distance between electrodes, the capacitance or dielectric constant is linearly related to the activity of quicklime; the computer detection calculation model is:

[0016] When testing the activity of quicklime, γ = a + bC;

[0017] or in

[0018] In the formula, the symbol γ represents the activity of quicklime; a and a' represent intercept constants; b and b' represent slope values ​​(<0); C represents the detection capacitance; ε represents the dielectric constant; S represents the effective area of ​​the capacitor electrode; D represents the distance between the capacitor electrodes; k represents the electrostatic force constant (9.0×10 9 N·m2 / C 2 ).

[0019] The state of the quicklime during the testing process can be naturally stacked or pressed in the same manner, ensuring that the powder maintains the same powder density during the testing process.

[0020] The present invention provides an online detection device and method for quicklime activity. The sampling robot drives the sampling spoon to move. The sampling spoon moves into the hopper after sampling. At the same time, the detection belt conveyor moves it to the detection electrode, and turns on the capacitance meter or the digital bridge with capacitance detection function and the computer detection program to perform real-time detection. Therefore, manual detection is unnecessary, the detection efficiency is effectively improved, and the detection quality is guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0022] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0023] Figure 2 The present invention is a flowchart of the steps of the on-line detection method for quicklime activity.

[0024] 1-sampling robot, 2-sampling spoon, 3-hopper, 4-detection belt conveyor, 5-detection electrode, 6-electrode fixing baffle, 7-detection belt driving motor. DETAILED DESCRIPTION

[0025] Embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0026] See also Figure 1 The present invention provides an online detection device for quicklime activity, comprising a sampling robot 1, a sampling spoon 2, a hopper 3, a detection belt conveyor 4, a detection electrode 5, an electrode fixing baffle 6 and a detection belt driving motor 7, wherein the sampling spoon 2 is arranged on the sampling robot 1, the detection belt conveyor 4 is arranged on one side of the sampling robot 1, the detection belt driving motor 7 is arranged on one side of the detection belt conveyor 4, the hopper 3 is placed above the detection belt conveyor 4, the two electrode fixing baffles 6 are symmetrically arranged above the detection belt conveyor 4, and the two detection electrodes 5 are respectively arranged on the corresponding electrode fixing baffles 6.

[0027] Furthermore, the sampling spoon 2 is located above the detection belt conveyor 4 .

[0028] Furthermore, the detection electrode 5 is located between the two motor fixed baffles.

[0029] Furthermore, the detection belt driving motor 7 is located at one end of the sampling robot 1 .

[0030] Furthermore, under the conditions of a fixed electrode area and a fixed distance between electrodes, the capacitance or dielectric constant is linearly related to the activity of quicklime; the computer detection calculation model is:

[0031] When testing the activity of quicklime, γ = a + bC;

[0032] or in

[0033] In the formula, the symbol γ represents the activity of quicklime; a and a' represent intercept constants; b and b' represent slope values ​​(<0); C represents the detection capacitance; ε represents the dielectric constant; S represents the effective area of ​​the capacitor electrode; D represents the distance between the capacitor electrodes; k represents the electrostatic force constant (9.0×10 9 N·m 2 / C 2 ).

[0034] The state of the quicklime during the testing process can be naturally stacked or pressed in the same manner, ensuring that the powder maintains the same powder density during the testing process.

[0035] In this embodiment, the detection electrode 5 is insulated from the detection belt conveyor 4 and the electrode fixing baffle 6; the detection belt conveyor 4 is grounded to a capacitance meter or a digital bridge having a capacitance detection function;

[0036] When testing the activity of quicklime, the detection voltage is 1.5V and the electrode area is 37.2cm 2 , the detection frequency is 8.2kHz; the distance between the electrodes is 1.5cm, the detected capacitance unit is pF, and the relationship between γ and capacitance is as follows:

[0037] γ=2249.5893-442.8554C

[0038] The relationship between γ and dielectric constant is as follows:

[0039] γ=2249.5893-971.979ε

[0040] When the detection output capacitance is 4.3pF, γ=345.311;

[0041] When converted to an output dielectric constant of 1.95, γ = 354.23;

[0042] The sampling robot 1 drives the sampling spoon 2 to move, and the sampling spoon 2 moves into the hopper 3 after sampling, while the detection belt conveyor 4 moves it for detection.

[0043] See also Figure 2 The present invention also provides an online detection method for quicklime activity, comprising the following steps:

[0044] S1: First, pour the powder to be tested into the detection area between the two electrodes;

[0045] S2: Turn on the capacitance meter or the digital bridge with capacitance detection function, and open the computer detection program to perform detection.

[0046] Among them, firstly, pour the powder to be tested into the detection area between the two electrodes; turn on the capacitance meter or the digital bridge with the capacitance detection function, and turn on the computer detection program to perform the detection.

[0047] What is disclosed above is only one or more preferred embodiments of the present application, and cannot be used to limit the scope of rights of the present application. Ordinary technicians in this field can understand that all or part of the processes of implementing the above embodiments and equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. A method for online detection of quicklime activity, using an online detection device for quicklime activity, the online detection device for quicklime activity comprising a sampling robot, a sampling spoon, a hopper, a detection belt conveyor, a detection electrode, an electrode fixed baffle and a detection belt drive motor, the sampling spoon is arranged on the sampling robot, the detection belt conveyor is arranged on one side of the sampling robot, the detection belt drive motor is arranged on one side of the detection belt conveyor, the hopper is placed above the detection belt conveyor, the two electrode fixed baffles are symmetrically arranged above the detection belt conveyor, and the two detection electrodes are respectively arranged on the corresponding electrode fixed baffles, characterized in that: The steps include: First, pour the powder to be tested into the detection area between the two electrodes; Then turn on the capacitance meter or the digital bridge with capacitance detection function and the computer detection program to perform the detection; Under the conditions of fixed electrode area and fixed distance between electrodes, the capacitance or dielectric constant is linearly related to the activity of quicklime; the computer detection calculation model is: When testing the activity of quicklime, γ = a + bC; or in In the formula, the symbol γ represents the activity of quicklime; a and a' represent intercept constants; b and b' represent slope values ​​< 0; C represents the detection capacitance; ε represents the dielectric constant; S represents the effective area of ​​the capacitor electrode; D represents the distance between the capacitor electrodes; k represents the electrostatic force constant of 9.0×10 9 N·m 2 / C 2 .

2. The method for online detection of quicklime activity as claimed in claim 1, characterized in that: The state of the quicklime during the testing process can be naturally piled or pressed in the same way to ensure that the powder maintains the same powder density during the testing process.

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