A system for monitoring the temperature of the melt in a flash converting vessel settling tank

Abstract

The present application relates to the technical field of temperature monitoring of converting furnace, and particularly relates to a system for monitoring the temperature of melt in the settling tank of flash converting furnace. The system comprises: a temperature online measuring device; the temperature online measuring device is used for real-time detection of the temperature of the settling tank of the converting furnace and the temperature of the melt in the settling tank; a data visualization module; the data visualization module is electrically connected with the temperature online measuring device; an intelligent control hub; the intelligent control hub is electrically connected with the data visualization module; an instruction module; the instruction module is electrically connected with the intelligent control hub, and modifies the corresponding operation bar on the DCS system according to the output adjustment instruction of the intelligent control hub. The system can replace manual real-time detection of the temperature of the melt in the settling tank, and adjust the working mode of the converting furnace according to the detection structure, thereby improving the melt temperature monitoring efficiency and the working efficiency of the converting furnace.

Description

Technical Field

[0001] This invention relates to the field of furnace temperature monitoring technology, and more particularly to a system for monitoring the temperature of melt in the settling tank of a flash furnace. Background Technology

[0002] The heat supply of the flash smelting furnace mainly comes from the heat of chemical reaction of matte. The lower the grade of matte, the higher the heat of chemical reaction. By adjusting parameters such as oxygen concentration, matte grade, and cold material amount, the flash smelting furnace can achieve self-heating smelting.

[0003] Flash smelting aims at deferroplating and desulfurization. The main reactions within the furnace occur in the reaction tower and settling tank. Most of the sulfur oxidation occurs in the reaction tower, while unreacted sulfur continues to react in the settling tank. Simultaneously, copper formation and slag formation reactions take place in the settling tank. The temperature of the melt in the settling tank reflects part of the furnace condition, while the slag temperature affects the copper formation and slag formation reactions within the settling tank.

[0004] The temperature of the settling tank affects the impurity removal capacity of the flash smelting furnace. Lowering the temperature facilitates the entry of impurities into the slag. Excessive temperature wastes heat, damages refractory bricks, and jeopardizes furnace safety; excessively low temperature hinders the reaction, leads to material buildup, and impedes copper and slag discharge. Therefore, stable and accurate control of the settling tank temperature significantly impacts the stability of the flash smelting production. Temperature measurement and monitoring are crucial for operators in making production adjustments and decisions.

[0005] Traditional temperature measurement in blowing processes involves manual operation using handheld temperature measuring devices such as disposable temperature guns. This method requires close-range operation through working doors on the furnace, affecting the negative pressure inside and posing a risk of injury from flue gas surges due to pressure fluctuations. Furthermore, manual operation is labor-intensive, the working environment is uncomfortable, and because this method is essentially performed at fixed times and locations, the obtained temperature data is discontinuous and unpredictable. It is susceptible to significant systematic and random errors due to factors such as operator skill and knowledge, the disposable nature of the measuring consumables, and variations in the measuring environment. Therefore, a solution is urgently needed.

[0006] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is the closest prior art. Summary of the Invention

[0007] The technical problem to be solved by the present invention is to provide a system for monitoring the temperature of melt in the settling tank of a flash furnace. The system can replace manual monitoring of the temperature of melt in the settling tank in real time and adjust the working mode of the furnace according to the monitoring structure, thereby improving the efficiency of melt temperature monitoring and the working efficiency of the furnace.

[0008] To achieve the aforementioned objective, the technical solution of the present invention is as follows: a system for monitoring the temperature of melt in the settling tank of a flash refining furnace; comprising: an online temperature measuring device; the online temperature measuring device is used to detect the temperature of the settling tank of the refining furnace and the temperature of the melt in the settling tank in real time;

[0009] Data visualization module; the data visualization module is electrically connected to the online temperature measurement device, and is used to receive the temperature data of the sedimentation tank and the temperature data of the melt in the sedimentation tank collected by the online temperature measurement device, and to analyze and process the temperature data;

[0010] Intelligent control center; the intelligent control center is electrically connected to the data visualization module, and issues parameter adjustment commands to the digital model system that controls the operation of the blowing furnace based on the temperature data analysis and processing results of the data visualization module;

[0011] The instruction module is electrically connected to the intelligent control center and modifies the corresponding operation bar on the DCS system according to the adjustment instructions output by the intelligent control center. The DCS system adjusts the temperature of the settling tank and the melt in the settling tank inside the furnace.

[0012] Preferably, the online temperature measurement device consists of at least five single-crystal ceramic heat-resistant high-temperature thermocouples for measuring temperature; the installation positions of each thermocouple are respectively distributed on the end wall and side walls of the reaction tower area of ​​the sedimentation tank, the side wall in the direction of the rising flue, and inside the sedimentation tank. Each installation position constitutes a temperature measuring point, and the temperature measuring point located on the side wall is at a height of 700-1050mm relative to the center line of the furnace bottom, while the temperature measuring point located in the sedimentation tank is in contact with the melt in the sedimentation tank for temperature measurement.

[0013] Preferably, the number of temperature measuring points is as follows: 1-10 on the side wall, 1-4 on the end wall, 1-20 on the top of the sedimentation tank, and 1-3 inside the melt of the sedimentation tank.

[0014] Preferably, the data visualization module processes the temperature data by converting the temperature data collected at each temperature measurement point into a temperature distribution trend line, and integrating the temperature data from all temperature measurement points into a temperature field at the horizontal cross-section of the furnace body, which is used to describe in detail the temperature state of the melt layer in the settling tank inside the furnace.

[0015] Preferably, it also includes a central control terminal and a remote terminal; the central control terminal displays the temperature data, temperature distribution trend line and furnace horizontal section temperature field of all temperature measurement points processed by the visualization module in the central control hall through wired transmission; the remote terminal can transmit the temperature data, temperature distribution trend line and furnace horizontal section temperature field of all temperature measurement points processed by the visualization module to the field staff through wireless transmission.

[0016] Preferably, the data visualization module has data transmission and alarm functions; the data transmission includes transmitting temperature data collected from various temperature measurement points to the main control terminal, remote terminal, and intelligent control center; the alarm function includes the visualization module comparing and judging different manually set alarm values ​​with temperature change trends, and sending different alarm types.

[0017] Preferably, the different alarm types include slow temperature decrease, continuous temperature decrease, slow temperature increase, continuous temperature increase, slightly low temperature, too low temperature, extremely low temperature, slightly high temperature, too high temperature, and extremely high temperature.

[0018] Preferably, the parameter adjustment instructions issued by the digital modeling system include modifying the data of the digital modeling system, inputting data, issuing calculation execution commands, and collecting the data output by the digital modeling system.

[0019] Preferably, the intelligent control center receives manually imported production data for parameter adjustment learning. Based on machine learning, the intelligent control center automatically modifies the parameters affecting furnace temperature: oxygen concentration, flue ash amount, feed amount, temperature correction item, and natural gas amount, thus establishing an autonomous control mechanism.

[0020] Preferably, after the intelligent control center obtains the output results from the digital modeling system, it sends them to the main control terminal and the remote terminal. After receiving the parameter adjustment and temperature change results, the staff at the main control terminal and the remote terminal can select to score them on the corresponding terminals, and the scoring results will be sent to the intelligent control center. After receiving the scoring results sent by the main control terminal and the remote terminal, the intelligent control center adjusts the parameter modification range issued by the digital modeling system.

[0021] The beneficial effects of this invention are reflected in:

[0022] The system provided by this invention can monitor the temperature of the settling tank and the melt within it in a blowing furnace in real time, replacing manual monitoring and improving production safety. Simultaneously, the system can adjust the blowing furnace based on the detected temperature, ensuring the production temperature remains within a reasonable range, thus improving temperature regulation efficiency and product quality. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the system control process of the present invention;

[0024] Figure 2 This is a schematic diagram of the temperature adjustment process of the system of the present invention. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Example 1

[0027] See Figure 1-2 As shown:

[0028] This invention provides a system for monitoring the temperature of melt in the settling tank of a flash furnace, comprising: an online temperature measuring device; the online temperature measuring device is used to detect the temperature of the settling tank and the temperature of the melt in the settling tank in real time.

[0029] The online temperature measurement device consists of at least five single-crystal ceramic heat-resistant high-temperature thermocouples for temperature measurement. In practical applications, the thermocouples are installed at various locations, including the end and side walls of the reaction tower area in the settling tank, the side wall in the direction of the rising flue, and inside the settling tank. Each installation location constitutes a temperature measuring point. The temperature measuring points located on the side walls are positioned at a height of 700–1050 mm relative to the centerline of the furnace bottom, while the temperature measuring points located inside the settling tank are in contact with the melt inside the settling tank for temperature measurement.

[0030] In order to accurately collect the temperature of the sedimentation tank and the melt inside the sedimentation tank, the number of temperature measuring points is set as follows: 4 on the end wall of the sedimentation tank reaction tower, 8 on the side wall of the sedimentation tank discharge outlet, 8 on the side wall of the sedimentation tank boiler, 4 on the end wall of the boiler, and 15 on the top of the sedimentation tank.

[0031] In practical applications, this thermocouple is suitable for high-temperature environments where it is in long-term contact with the molten material in the settling tank. Additionally, due to issues such as poor furnace reaction and the need for raw material feeding, the thermocouple must also be able to withstand long-term contact with the materials inside the reaction tower. The reaction materials inside the tower are: Cu: 55-72%, Fe: 5-10%, S: 20-25%, CaO: 3.5-4.5%, with a reaction temperature ≤1450℃. The slag layer material in the settling tank is: Cu: 15-35%, Fe: 25-45%, CaO: 5-15%, with a zone temperature of 1200-1400℃.

[0032] The thermocouple's double-sealed components are heat-resistant up to 1600℃; the inner protective sheath has a ceramic purity of ≥99.7% and is heat-resistant up to 1700℃; the thermocouple's temperature measurement range is 0-1500℃; and the thermocouple's calibration range is 0-1600℃.

[0033] Data visualization module; The data visualization module is electrically connected to the online temperature measurement device, and is used to receive the temperature data of the sedimentation tank and the temperature data of the melt in the sedimentation tank collected by the online temperature measurement device, and to analyze and process the temperature data.

[0034] The data visualization module processes temperature data by converting the temperature data collected at each temperature measurement point into a temperature distribution trend line, and integrating the temperature data from all temperature measurement points into a temperature field at the horizontal cross-section of the furnace body, which is used to describe in detail the temperature state of the melt layer in the settling tank inside the furnace.

[0035] The temperature trend line for each temperature point is a continuous dynamic temperature curve in a two-dimensional coordinate system of time and temperature for the corresponding temperature measurement point in the flash furnace sedimentation tank. The temperature field is a continuous temperature distribution field in a two-dimensional coordinate system of XY established with the horizontal cross-section of the flash furnace after the temperature data of all temperature measurement points in the horizontal plane where the temperature measurement point is located in the sedimentation tank are fitted by the visualization module. The temperature in this coordinate system is displayed in color and is in a dynamic online change.

[0036] A continuous temperature distribution field allows for the extraction of a continuous dynamic temperature curve of time-temperature at any coordinate point within the temperature field.

[0037] In a continuous temperature distribution field, if some areas are significantly cooler than the surrounding areas, resulting in dark spots, or if some areas are significantly warmer than the surrounding areas, resulting in bright spots, the visualization module will issue a warning: poor furnace condition. If the temperature changes continuously and stably, the visualization module will display a normal furnace condition.

[0038] In addition, the data visualization module has data transmission and alarm functions.

[0039] Data transmission includes transmitting temperature data collected from various temperature measurement points to the main control terminal, remote terminals, and intelligent control center.

[0040] The alarm function includes a visualization module that compares and judges different manually set alarm values ​​with temperature change trends, and sends different alarm types. The different alarm types include slow temperature decrease, continuous temperature decrease, slow temperature increase, continuous temperature increase, slightly low temperature, too low temperature, extremely low temperature, slightly high temperature, too high temperature, and extremely high temperature.

[0041] It also includes a central control terminal and a remote terminal; the central control terminal displays the temperature data, temperature distribution trend line and furnace body horizontal section temperature field collected from all temperature measurement points processed by the visualization module in the central control hall through wired transmission.

[0042] The remote terminal can wirelessly transmit the temperature data of all temperature measurement points, temperature distribution trend lines, and temperature field of the horizontal cross section of the furnace body, processed by the visualization module, to the field staff.

[0043] Intelligent control center; The intelligent control center is electrically connected to the data visualization module, and issues parameter adjustment commands to the digital model system that controls the operation of the blowing furnace based on the temperature data analysis and processing results of the data visualization module.

[0044] The intelligent control center receives manually imported production data and learns to adjust parameters. Based on machine learning, the intelligent control center automatically modifies the parameters affecting furnace temperature: oxygen concentration, flue ash amount, feed amount, temperature correction item, and natural gas amount, thus establishing an autonomous control mechanism.

[0045] After the intelligent control center receives the output results from the digital simulation system, it sends them to the main control terminal and the remote terminal. After receiving the parameter adjustment and temperature change results, the staff at the main control terminal and the remote terminal can select to score them on the corresponding terminal, and the scoring results will be sent to the intelligent control center.

[0046] The intelligent control center receives the scoring results sent by the main control terminal and the remote terminal, and adjusts the parameter modification range issued by the digital model system to ensure the reliability of furnace temperature monitoring.

[0047] The parameter adjustment commands issued by the digital modeling system include modifying the data of the digital modeling system, inputting data, issuing calculation execution commands, and collecting the data output by the digital modeling system.

[0048] The instruction module is electrically connected to the intelligent control center and automatically modifies the corresponding operation bar on the DCS system according to the adjustment instructions output by the intelligent control center. This is equivalent to automatically inputting the instruction parameters for regulating the temperature of the blowing furnace instead of manually. The DCS system regulates the temperature of the settling tank and the melt in the settling tank inside the blowing furnace.

[0049] It should be noted that if the embodiments of the present invention involve directional indicators such as up, down, left, right, front, back, etc., the directional indicators are only used to explain the relative positional relationship and movement of the components in a specific posture as shown in the attached figure. If the specific posture changes, the directional indicators will also change accordingly.

[0050] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the meaning of "and / or" throughout the text includes three parallel solutions; for example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied. Furthermore, "multiple" refers to two or more. Moreover, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, such a combination of technical solutions should be considered non-existent.

[0051] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A system for monitoring the temperature of the melt in a flash smelting furnace precipitator tank, characterized in that The application relates to a temperature online measuring device, a data visualization module, an intelligent control center, an instruction module and a numerical model system. The temperature online measuring device is used for detecting the temperature of a settling tank and the temperature of a melt in the settling tank of a converter in real time. The data visualization module is electrically connected with the temperature online measuring device, is used for receiving the temperature data of the settling tank and the temperature data of the melt in the settling tank collected by the temperature online measuring device, and analyzes and processes the temperature data. The intelligent control center is electrically connected with the data visualization module, and issues parameter adjustment instructions to the numerical model system for controlling the operation of the converter according to the analysis and processing results of the data visualization module. The instruction module is electrically connected with the intelligent control center, and modifies the corresponding operation bar on the DCS system according to the output adjustment instructions of the intelligent control center, so that the DCS system adjusts the temperature of the settling tank and the melt in the settling tank of the converter. The temperature online measuring device is composed of at least five single-crystal ceramic heat-resistant high-temperature thermocouples for measuring temperature. The data visualization module converts the temperature data collected by each temperature measuring point into a temperature distribution trend line, integrates and converts the temperature data of all temperature measuring points into a temperature field of a horizontal section of the converter body, and is used for describing the temperature state of the melt layer in the settling tank of the converter in detail. The application further comprises a central control terminal and a remote terminal.

2. A system for monitoring the temperature of the melt in the settling tank of an ISRF according to claim 1, characterized in that, The data visualization module has data transmission and alarm functions.

3. A system for monitoring the temperature of the melt in the settling tank of an ISRF according to claim 2, wherein, The different alarm types include slow temperature decrease, continuous temperature decrease, slow temperature increase, continuous temperature increase, slightly low temperature, excessively low temperature, extremely low temperature, slightly high temperature, excessively high temperature and extremely high temperature.

4. A system for monitoring the temperature of the melt in the settling tank of an ISRF according to claim 3, wherein, The parameter adjustment instructions of the numerical model system include modifying the data of the numerical model system, inputting operations, issuing calculation execution commands and collecting the output data of the numerical model system.

5. A system for monitoring the temperature of the melt in the settling tank of an ISRF according to claim 4, wherein, ​ 6. A system for monitoring the temperature of the melt in the settling tank of an ISRF according to claim 5, wherein, ​ 7. A system for monitoring the temperature of the melt in the settling tank of an ISRF according to claim 6, wherein, ​ 8. A system for monitoring the temperature of the melt in the settling tank of an IS smelter according to claim 7, characterized in that, The intelligent control center receives manually imported production data and learns to adjust parameters. Based on machine learning, the intelligent control center automatically modifies the parameters affecting furnace temperature: oxygen concentration, flue ash amount, feed amount, temperature correction item, and natural gas amount, thus establishing an autonomous control mechanism.

9. A system for monitoring the temperature of the melt in the settling tank of an IS smelter according to claim 8, characterized in that, After the intelligent control center obtains the output results of the digital simulation system, it sends them to the main control terminal and the remote terminal. After receiving the parameter adjustment and temperature change results, the staff at the main control terminal and the remote terminal can select to score them on the corresponding terminals, and the scoring results will be sent to the intelligent control center. The intelligent control center receives the scoring results sent by the main control terminal and the remote terminal, and adjusts the parameter modification range issued by the digital modeling system.

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